In this edition of our interview series, Suhas Diwakar Zele, Head of Marketing & Communications at Equifax India, shares his perspective on building trust-led growth in regulated industries. He discusses aligning brand, communications, and revenue, creating impactful GTM strategies, leveraging AI for smarter marketing, and developing the leadership mindset needed to drive sustainable business growth.

Welcome to the interview series, Suhas. Could you tell us about yourself and your journey as a marketer?

Over the last 17 years, my journey has been deliberately diverse. While I currently operate in the highly regulated credit and data analytics space as the Head of Marketing & Communications at Equifax India, my career has spanned a wide spectrum of business models—including fintech, digital payments, enterprise software, e-commerce, publishing, trade fairs, and consulting.

Navigating these varied sectors has been my greatest strategic asset. Rather than being confined to a single playbook, I have been able to take the rapid agility, brand storytelling, and consumer-centricity of e-commerce and publishing and inject them directly into the complex, B2B matrix of software and financial services.

If I had to define my evolution as a marketer, it is driven by a relentless desire to constantly learn, upgrade, and evolve. I have transitioned from being a functional marketing expert to a business integrator—someone who sits at the intersection of data intelligence, technology innovation, and trust-driven financial decision-making.

True business leadership demands continuous intellectual evolution. To ensure my strategies consistently outpace market disruptions, I actively invest in sharpening my executive edge—having recently completed the Executive Programme in Fintech and AI at IIM Calcutta while currently pursuing the Chief Growth and Marketing Officer Programme at ISB.

How do you balance pipeline generation, brand reputation, and corporate communications in a highly regulated industry?

As a marketing leader, I balance them by refusing to treat them as isolated silos. In a highly regulated ecosystem, these three elements are fundamentally interconnected. Corporate communications build the foundation of trust, brand reputation scales that trust into market authority, and pipeline generation monetizes that authority.

For example, I recently overhauled our strategic PR and agency partnerships. By driving executive profiling and proactive regulatory commentary, we secured significant organic media share of voice and top-tier publication features. That corporate communication built immense brand equity. I then strategically channeled that equity into pipeline generation by conceptualizing and launching our flagship IP, “Equifax Elevate.” We used the brand’s elevated reputation to curate exclusive CXO roundtables, directly partnering with Sales leadership to turn those high-level conversations into a measurable, high-intent pipeline.

Long-term brand building and short-term revenue goals often compete. How have you balanced the two?

They only compete if the marketing function is misaligned with the broader P&L. I balance them by engineering what I call “revenue-driving IPs.” Effective marketing leadership requires that we never launch a long-term brand initiative without attaching a short-term commercial engine to it.

A prime example is the strategic revamp of our market intelligence property, “Disha Insights.” The long-term brand goal was to develop a large-scale thought leadership platform that shapes industry conversations and institutionalizes Equifax India as the definitive voice on data and analytics. However, to solve for short-term revenue, I worked closely with our digital teams to integrate new lead-capture features directly into the platform. Simultaneously, we deployed targeted performance marketing campaigns for newly launched data products. This ensured that while we were building long-term category dominance, we were actively capturing high-velocity enterprise inquiries today.

You’ve worked closely with product, risk, and sales teams. What are the key ingredients of a successful go-to-market strategy for data and analytics solutions?

The most critical ingredient is acting as the central translator across the enterprise matrix. Data and analytics are essentially “invisible” products; you are selling predictability, risk mitigation, and speed.

When architecting a Go-To-Market strategy, my first step is cross-functional orchestration. I work in lockstep with the Chief Risk Officer to ensure our narrative is legally and regulatorily unassailable. Then, I partner with Product and Sales to translate those complex cloud capabilities into compelling commercial toolkits. We recently overhauled our foundational brand collateral, equipping our internal sales force with highly modular pitch decks, localized use cases, and product one-pagers. You can have the best AI-scoring model in the market, but if you haven’t aligned Risk, Product, and Sales to tell a cohesive, highly consultative story, the GTM will fail.

“The most critical ingredient of a successful GTM strategy is acting as the central translator across the enterprise matrix.”

Where are you seeing the greatest impact of AI and automation in modern marketing?

I see the most profound impact in how AI acts as an organizational multiplier. It is no longer just a tactical tool; it is a strategic capability that fundamentally elevates our operational effectiveness and intellectual agility.

I am a strong advocate for continuously upgrading our marketing infrastructure. Rather than focusing on isolated applications, we have embedded leading generative AI models and advanced research engines directly into our core workflows. By leveraging these technologies for deep ecosystem research, rapid market exploration, and the synthesis of complex data, we have essentially automated the heavy lifting of knowledge building.

This tech-forward approach removes daily operational friction and changes the very nature of how my team operates. It allows me to protect their most valuable asset, their intellectual bandwidth, redirecting their focus away from manual execution and entirely toward high-impact strategic growth, category design, and relationship building.

What role does thought leadership play in influencing decision-makers and strengthening brand reputation?

In a highly regulated environment like credit intelligence and data analytics, trust isn’t just a marketing metric; it is the ultimate commercial currency. Thought leadership is how we operationalize and scale that trust. It is how we offer clarity in a complex ecosystem, inviting decision-makers into our vision well before any commercial conversation begins.

When I collaborate with industry stakeholders or scale platforms like “Disha Insights,” the primary objective is to shift our positioning from a functional vendor to a strategic advisor. CXOs today are dealing with unprecedented regulatory and technological shifts. They aren’t just looking for data feeds; they are looking for certainty. By proactively addressing market complexities and shaping the narrative around responsible lending and digital governance, we effectively de-risk their decision-making process. That is exactly how you elevate brand reputation: your brand becomes trusted the moment the market begins relying on your foresight to navigate their own challenges.

However, as we continuously explore the intersection of technology and business, I always remind my teams of one core truth: we operate in an era where advanced automation gives us incredible scale, but it is just an enabler. Trust is a distinctly human emotion. Ultimately, people do business with people. It is intellectual integrity, empathy, and the way we handle authentic human communication that truly cements influence and builds an enduring, trusted brand legacy.

What advice would you give marketers aspiring to move from execution roles into marketing leadership?

First, fundamentally shift your core metric of success. When operating in an execution role, the primary question is often, “Did we launch this campaign on time?” At the leadership level, the only question that truly matters is, “Did this initiative accelerate commercial growth, shape the category, and positively impact the P&L?”

Second, step entirely out of the marketing silo. To lead effectively, you must intimately understand the mechanics of the broader business: risk, compliance, product development, and most importantly, sales. The landscape of digital transformation and AI is evolving too rapidly to rely on rigid playbooks. Cultivate the strategic agility to anticipate market shifts and become perfectly comfortable operating interchangeably as the high-level business architect and the hands-on orchestrator whenever the business demands it.

Finally, never allow your designation to become a ceiling on your curiosity. The most effective leaders operate with the understanding that intellectual capital does not respect hierarchy. You must be as willing to absorb a new perspective from a fresh graduate as you are from a seasoned board member, provided it adds genuine value to your knowledge bank. True market authority isn’t about having all the answers; it is about cultivating the relentless humility to learn, adapt, and continuously improve at every stage of your career.

About Suhas Diwakar Zele

Suhas Diwakar Zele is a marketing leader with over 17 years of experience across credit bureaus, fintech, financial services, and digital ecosystems. He specializes in trust-led growth, go-to-market strategy, brand reputation, corporate communications, and AI-driven marketing. Passionate about translating complex technologies into compelling business narratives, he has been recognized with the Brand Impact Award 2025 and as one of the Most Admired Brand Leaders 2026.

The post Driving Trust-Led Growth: Suhas Diwakar Zele on AI, GTM, and Marketing Leadership appeared first on iTechSeries.

In this edition of the interview series, Reema Wadhwani, Director of Demand Generation at Uniphore, shares her perspectives on building revenue-driven marketing strategies through buyer-centric demand generation, effective ABM, and AI-powered customer intelligence. She discusses aligning marketing with sales, creating sustainable pipeline growth, and why relevance, precision, and commercial thinking are essential to modern B2B marketing success.

Welcome to the interview series, Reema. Could you tell us about yourself and your journey as a marketer?

There wasn’t really a five-year plan behind how I got into marketing. I didn’t map it out that way. I just took the work seriously wherever I was, and that shaped the direction over time. If I’m honest, I’ve always been a bit obsessed with what actually makes someone act. Early on, it showed up more in sales for me, not in a transactional way but in how immediate it is. You say something, and you can see pretty quickly whether it lands or not. I liked that feedback loop. It forces you to be honest about whether what you’re doing is working. When I moved into marketing, I didn’t see it as a separate discipline from that. It just felt like a different environment for the same question but less direct and more layered. What I’ve naturally gravitated towards in marketing is not the output itself, but the moments when hesitation turns into clarity. So, for example, I’ve always been more interested in things like where people drop off in a journey, what questions keep coming up in sales conversations, and which objections repeat themselves. That’s usually where the real signal is. And that’s also shaped how I think about marketing work. I’ve never been that interested in campaigns in isolation. I care more about whether something is actually removing friction or addressing a real issue that’s stopping a decision. If it doesn’t do that, it doesn’t really matter how good it looks. So I’d say it’s less been a planned path and more that I’ve kept following the same instinct—just applying it in different environments as my role has grown.

What are the key elements of a demand generation strategy that consistently drive pipeline growth?

Most B2B teams aren’t losing because they lack tools, data, or channels. They’re losing because they’ve built efficient systems to measure the wrong things and messaging that focuses on products while buyers are thinking about business problems.

Teams optimise for activity because it’s easy to measure. A pipeline is harder to explain. So MQLs increase, dashboards look healthy, and the business still misses its targets. That’s not a resourcing problem; it’s an architecture problem.

I’ve seen campaigns generate thousands of views but almost no pipeline. The targeting was right, but buyers don’t care how your product works. They care about what their problems are costing them in lost revenue, risk, and inefficiency. When messaging shifts from product features to measurable business impact, the conversation changes.

Consistent pipeline growth comes down to four elements working together, not operating in silos.

The first is combining intent and trigger data with a single business-value narrative that aligns every campaign, channel, and sales conversation. Without this foundation, everything else leaks.

The second is creating demand among buyers who aren’t actively looking yet. Only about 5% of your market is in-market at any given time. If your strategy focuses only on capturing that audience, you’re competing with everyone else. Strong demand generation invests in the other 95% through educational content, thought leadership with a clear point of view, and events that strengthen long-term account relationships.

The third is capturing demand with precision. Trigger-based outreach around funding rounds, executive hires, or product launches makes conversations timely and relevant. Paid media and SEO help reach buyers already searching. Success isn’t about reaching more people—it’s about reaching the right people at the right moment with a message that matters.

The fourth is aligning the entire revenue function. Shared goals should focus on pipeline, not MQLs. Attribution should reflect buying groups rather than individual leads, since B2B purchasing decisions involve multiple stakeholders. Most importantly, sales insights should continuously inform marketing so messaging evolves with real customer conversations.

When these four elements work together, buyers experience a consistent, compelling story across every touchpoint. That’s not just a campaign—it’s a demand generation system that consistently drives pipeline growth.

What separates successful ABM programs from those that fail to deliver results?

ABM is a human discipline, not a tech stack.

Most programs fail before they send a single piece of outreach. The platform gets bought, the account list gets built, and teams move straight to execution without answering the most basic question: what does this account actually care about right now?

The result is generic messaging sent to a list of accounts with a personalised first name. That’s not ABM. That’s spray and pray with a higher price tag.

Signals tell you when to show up, not what to say. Funding rounds, leadership changes, and intent spikes are valuable, but they’re only prompts. Teams that mistake signals for strategy end up with fast outreach and irrelevant messaging. The tools find the door. Execution is what happens when you knock.

The account list isn’t a target—it’s a commitment. If your list has thousands of accounts, you’re not doing ABM. Real ABM means a deliberately small list and a genuine understanding of every account: what they’re trying to achieve, what’s competing for their budget, and where you fit. Messaging should reflect that by vertical, account, and business problem.

Most programs also engage only one or two people, even though nearly seven stakeholders influence the average B2B purchase. Map the full buying committee and speak to each stakeholder’s priorities instead of sending the same message to everyone.

Since 94% of buying groups rank preferred vendors before speaking to sales, and the top-ranked vendor wins 80% of the time, success depends on showing up with something meaningful to that specific account—not simply showing up first.

ABM rewards teams willing to do the slow, human work. It punishes those who expect technology to think. Signals identify who to approach. Account-specific, vertically aligned execution determines whether they engage.

The same principle applies globally. Localisation isn’t translating assets or changing logos. Your core positioning and value proposition should remain consistent across markets, but the stories, customer examples, industry references, and framing should reflect local realities. A CFO in Singapore and one in Frankfurt may share the same challenge, but not the same context. Global provides the spine. Local provides the story. You need both to deliver messaging that’s consistent, relevant, and credible.

What frameworks have helped you create stronger collaboration between marketing, sales, and customer-facing teams?

The most effective collaboration frameworks aren’t complicated. But they require marketing to do something uncomfortable: get out of the campaign room and into the customer conversation.

Three things have made the biggest difference.

Joint planning sessions. Marketing is not presenting a plan to sales. Both functions in the room build from the same starting point: the accounts, the verticals, and the specific problems they’re trying to solve. When sales have shaped the plan, they own it. When they own it, they use it. That shift alone changes the dynamic.

Marketing sits in on sales calls. This is the fastest way to close the gap between what marketing says and what buyers respond to. You hear the real objections. The language buyers use to describe their problems. The moments where your messaging lands, and the moments where it clearly doesn’t. No research report replaces it. An hour on a sales call is worth a month of assumption-based campaign planning.

Regular win/loss reviews. Real conversations about why deals were won and why they were lost with marketing in the room, not just sales leadership. When marketing understands why the last ten deals closed or didn’t, everything changes. The messaging, the content, the campaigns—they stop being generic and start being uncomfortably accurate.

The intelligence to make all this work already exists in most organisations. It lives in sales calls, in customer advisory boards, in social listening, and in the unfiltered conversations buyers have when they think no one is watching. The problem isn’t access. It’s that it never gets shared.

“Buyers care about what their problems are costing them in lost revenue, risk, and inefficiency.”

AI is reshaping how marketers engage buyers and measure performance. Where do you see the biggest opportunities for marketers today?

Most teams are using AI to do more of the same. More emails. More content. More outreach. Faster, cheaper, at scale. And in doing so, they’ve industrialised the very thing that was already broken: generic messaging sent to the wrong people at the wrong moment, just with greater efficiency.

The opportunity isn’t volume. It’s precision.

AI gives every marketer the ability to understand their market at a depth that was previously only possible for the biggest teams with the biggest budgets. Know which accounts are showing buying signals before your competitors do. Understand the language buyers actually use to describe their problems. Measure what’s really driving pipeline, not just what’s driving clicks. Personalise at the account level without an army of people doing it manually.

That’s not a content problem. That’s a customer intelligence problem. And AI solves it, if you let it.

The teams pulling away from the field aren’t the ones using AI to produce more. They’re the ones using it to get closer to the customer faster, more precisely, and more consistently than was ever possible before. They’re using it to do the slow, human work of understanding buyers at scale.

AI doesn’t change what great marketing looks like. It just removes the excuse for not doing it.

What advice would you give to marketers looking to build high-performing growth and demand generation programs?

The best demand gen marketers I’ve seen aren’t the ones who execute the playbook perfectly. They’re the ones trusted to know when the playbook is wrong.

Too many programmes are built around process compliance, the right cadences, the right channels, and the right metrics while nobody is asking whether the strategy underneath it is actually working. Autonomy matters. The marketers who build high-performing programmes are the ones given the space to think, not just execute.

Here’s what that looks like in practice.

Build for the long game and the short game simultaneously. Most programmes are built entirely around buyers in the market right now. That’s not a growth strategy; it’s a queue. The programmes that compound invest in both. Creating demand with buyers who aren’t looking yet, while capturing the ones ready now. One fills the pipeline today. The other makes sure it never runs dry.

Own a revenue number, not a marketing metric. Most programmes lose credibility with the business because they optimise for marketing metrics while the organisation is asking revenue questions. The pipeline should be 4x to 5x the ARR target. Marketing-sourced opportunities should be closing at a rate sales trust. And the conversation shouldn’t stop at a new logo: what’s the retention plan? What’s the expansion motion? Demand gen that hands off at the closed deal is leaving money on the table. Not “we generated 400 MQLs.” But “marketing contributed to 35% of closed revenue, the pipeline is at 4.2x, and expansion from existing accounts is up.”

Let data lead, but let judgement decide. Data tells you what happened. Judgement tells you what to do next. The best demand gen leaders connect marketing activity to revenue outcomes, not just engagement metrics. They’re honest when something isn’t performing and pivot fast. But they also know which channels compound over time and when to hold their nerve through a slow quarter rather than abandon a strategy that’s working.

Analytical rigour and commercial sharpness. You need both. But neither replaces the confidence to back your own thinking.

About Reema Wadhwani

Reema Wadhwani is a transformative marketing leader with deep expertise in demand generation, ABM, and digital strategy. She has helped SaaS, AI, and enterprise technology companies accelerate growth and strengthen market position. Passionate about turning complex technology into measurable business outcomes, Reema has led high-impact, multi-channel marketing programs that boost pipeline, improve conversion rates, reduce acquisition costs, and foster strategic partnerships that drive sustainable revenue growth and customer engagement.

The post Revenue Starts with Relevance: Reema Wadhwani on Buyer-Centricity, ABM, and AI appeared first on iTechSeries.

Building sustainable growth requires more than generating leads. Meet Connie Sellaro, Head of Marketing, ANZ, at Asana, who shares her insights on building go-to-market strategies that deliver sustainable revenue growth. She discusses sales and marketing alignment, revenue-driven field marketing, enterprise GTM in ANZ, strategic leadership, and how AI is reshaping modern B2B marketing and driving business growth.

Welcome to the interview series, Connie. Could you tell us about yourself and your journey as a marketer?

I’ve spent more than 20 years in B2B technology marketing, working across global organisations including IBM, Cisco Systems, Salesforce, and now Asana, where I lead marketing across Australia and New Zealand. Throughout my career, I’ve been fortunate to work alongside CEOs, sales leaders, and marketing teams to build go-to-market strategies that drive growth, customer engagement, and category leadership.

What has kept me passionate about marketing is that it sits at the intersection of strategy, storytelling, and commercial impact. Early in my career, I was heavily focused on execution—campaigns, events, and demand generation. Over time, I became increasingly interested in the bigger questions: How do companies create markets? Why do some growth strategies scale while others stall? How do you align people, process, and technology to drive sustainable growth?

Today, I see marketing as far more than a lead generation function. The best marketers are business leaders. They understand customers deeply, shape strategy, influence product direction, and create alignment across the entire organisation. That’s what has drawn me into broader GTM advisory work and why I’m so excited about the future of marketing, particularly as AI transforms how organisations operate and collaborate.

As a GTM advisor, what early signals do you look for to understand whether a company’s go-to-market motion is working or broken?

The first thing I look at is alignment. If sales, marketing, and customer success can’t clearly articulate the same ideal customer profile, value proposition, and growth priorities, it’s usually a sign that the GTM motion isn’t working.

The second signal is pipeline quality. You can generate a lot of leads and still have a broken GTM engine. I look at conversion rates between stages, sales velocity, and whether the pipeline is coming from repeatable motions or one-off wins.

The third is customer feedback. If customers struggle to understand your differentiation or if every deal requires significant customisation, you probably have a positioning problem.

Finally, I look at operational friction. Are teams constantly creating workarounds? Are handoffs between functions inefficient? Often, broken workflows within the business manifest externally as inconsistent customer experiences.

You’ve driven a significant pipeline through field marketing in ANZ. What were the key levers that actually made that success possible?

The biggest shift was treating field marketing as a revenue function rather than an events function.

There were four key levers:

1. Deep sales alignment—We built plans together and agreed on target accounts, success metrics, and follow-up motions before any campaign launched.
2. Quality over quantity—Smaller, highly targeted experiences often outperformed larger events because they created deeper engagement with the right stakeholders.
3. Customer-led storytelling—Prospects trust peers more than vendors. Our highest-performing programs consistently put customers at the centre of the conversation.
4. Integrated follow-up—Events don’t create pipeline on their own. Pipeline is created through the follow-up motions, content journeys, and account-based engagement that happen afterwards.

The lesson is simple: events should never be treated as a one-day activity. They’re a catalyst within a much larger GTM motion.

You’ve worked closely with sales in enterprise roles. What does strong sales-marketing collaboration look like in practice, and where does it usually break down?

The strongest relationships happen when both teams are accountable for the same outcomes.

Marketing should understand the commercial realities of the business-deal cycles, account priorities, and revenue targets. Equally, sales should understand the role marketing plays in building awareness, creating demand, and accelerating opportunities.

Where it typically breaks down is when teams optimise for different metrics. Marketing celebrates MQLs while sales focuses on revenue, or campaigns are launched without sales input and then judged on pipeline performance.

The best organisations have shared goals, regular operating rhythms, and complete transparency around what’s working and what’s not.

“The best marketers are business leaders. They understand customers deeply, shape strategy, influence product direction, and create alignment across the entire organisation.”

What separates high-performing event marketing teams from those that focus mainly on execution rather than driving pipeline impact?

High-performing teams start with business outcomes, not logistics.

Anyone can run an event. The best teams ask:

• Which accounts are we trying to influence?
• Which stakeholders need to be in the room?
• What action do we want attendees to take afterwards?
• How will we measure commercial impact?

They also think beyond the event itself. One event can generate customer stories, executive content, videos, social engagement, partner relationships, and months of follow-up activity.

The highest-performing event teams are essentially running mini GTM campaigns, not simply managing experiences.

ANZ is often seen as a challenging but high-value enterprise market. How does GTM in this region differ from the US or other global markets?

ANZ is incredibly relationship-driven.

The market is smaller, networks are tightly connected, and reputation matters enormously. Buyers want to see proof, hear from peers, and build trust before making significant investments.

Enterprise sales cycles can also be longer because organisations often have leaner teams and multiple stakeholders wearing several hats.

What works in the US doesn’t always translate directly? Large-scale volume motions are often less effective here than highly targeted, account-centric approaches.

The upside is that once you’ve established credibility and strong customer advocacy in ANZ, those relationships can become incredibly powerful growth engines.

What advice would you give to marketers who want to move from execution roles into strategic GTM leadership?

First, learn the commercial side of the business. Understand revenue models, pipeline mechanics, and how decisions are made in the boardroom.

Second, become deeply customer-obsessed. Strategic marketers spend as much time understanding customers as they do running campaigns.

Third, build cross-functional influence. GTM leadership isn’t about having authority – it’s about aligning teams around a common objective.

Finally, think beyond activities and focus on outcomes. Instead of asking, “How do I execute this campaign?” ask, “What business problem am I trying to solve, and what’s the most effective way to solve it?”

The marketers who leap to leadership are the ones who stop thinking like marketers and start thinking like business operators.

About Connie Sellaro

Connie Sellaro is a seasoned B2B SaaS marketing and go-to-market leader with over 20 years of experience driving enterprise growth across the ANZ region. As the ANZ Marketing Lead at Asana and a trusted GTM advisor, she helps organizations strengthen sales and marketing alignment, optimize demand generation, and build a predictable pipeline. Previously, Connie held senior leadership roles at Salesforce, Twilio, Dell/EMC, IBM, and Cisco, leading strategic growth and regional expansion initiatives.

The post GTM, Revenue, Field Marketing and AI: Connie Sellaro on Modern B2B Growth appeared first on iTechSeries.

In this interview edition, Melinda Stuart, Principal, Enterprise Marketing, Emerging Technology at Optus, shares practical lessons on building successful GTM strategies through local market understanding, cross-functional alignment, and measurable business outcomes. She also explores scaling global ABM, leveraging AI beyond automation, earning stakeholder trust, and leading high-performing teams with strategic clarity.

Welcome to the interview series, Melinda. Could you tell us about yourself and your journey as a marketer?

Thank you for having me. My path into marketing wasn’t the conventional B2B tech route. I actually started in corporate communications and brand strategy in London and Prague, working with agencies like Saatchi & Saatchi, Ogilvy, and BBDO on brand translation for multinationals like Volkswagen and Nestlé as they entered post-1989 Eastern Europe. That early experience taught me something I’ve carried through my entire career. A brand narrative only works if it’s genuinely translated, culturally, politically, and commercially, not just copy-pasted into a new market.

When I moved into technology and SaaS marketing, that same instinct shaped everything I did. I spent years building demand-generation engines at Cornerstone and Macquarie Technologies, then took on regional leadership at InterSystems across Japan and Southeast Asia, and, more recently, at Optus, leading GTM for emerging technology portfolios. What ties it all together is a systems mindset. I’m as comfortable in the boardroom shaping narrative as I am in the operations layer building the attribution frameworks that prove it worked.

What have your global marketing experiences taught you about building successful GTM programs?

Global GTM lives or dies on local nuance, and there’s no substitute for doing the research into how buying decisions are actually made in that market. I learned that lesson the hard way, trying to open Switzerland.

I was orchestrating the launch from Sydney and chose the country’s largest banking summit to introduce us to the market. All of our materials were in English, and we sent a delegation over from New York, fully expecting a fairly standard enterprise audience. The entire two-day event was delivered in Swiss German and Swiss French. I’d spent years building the instinct to localise relentlessly for Southeast Asia—language, channel, messenger, all of it—and with Switzerland, I took that for granted.

That’s the trap. Assuming proximity to your own market means less translation work, when really it just means the nuance is quieter and easier to miss. Now I treat local research as a non-negotiable first step, no matter how familiar a market looks on the surface.

The second lesson, which compounds the first, is that pipeline is a lagging indicator of trust. In regulated, relationship-driven markets especially, you’re not just building demand; you’re de-risking a decision for someone whose name is on the line internally. Every GTM program I’ve built since starts with understanding how that trust actually gets built in-market, not how it got built somewhere else.

The third lesson is to know the difference between TAM and TSM, total addressable market versus total serviceable market. A Gartner report can point you to a multi-billion-dollar growth opportunity, and it’s tempting to build your business case and your stakeholder narrative around that headline number. But if you can’t actually service those customers, or service the rate of growth you’re promising, the numbers simply don’t add up. Setting realistic expectations upfront, grounded in what you can genuinely deliver rather than what the market theoretically holds, is what protects your credibility with stakeholders and your reputation in-market.

Global ABM isn’t easy to scale. What framework has helped you balance global consistency with local relevance?

I built and scaled a global ABM Centre of Excellence model, essentially a hub-and-spoke structure where the centre owns the strategic scaffolding (account selection methodology, attribution, and messaging architecture) and a decentralised network of field and digital marketers owns activation in-market. The discipline is in what stays centralised versus what gets handed off.

Centrally, we govern things like ideal customer profile criteria, the segmentation logic, and how we measure success, because if every region defines “engagement” differently, you can’t roll anything up meaningfully. Locally, the team owns channel mix, language, timing, and relationship mapping, because that’s where the on-the-ground judgment actually lives. The framework only scales if you resist the urge to centralise everything just because it’s easier to govern. Some decisions genuinely belong closer to the account.

What principles are key to a strong alignment between marketing, sales, and executive stakeholders?

Shared definitions, before shared dashboards. So much of the friction between marketing and sales isn’t about effort or intent; it’s that the two functions are quietly using the same words to mean different things. “Qualified,” “engaged,” “pipeline.” If you don’t align on those definitions early and explicitly, every conversation downstream becomes a negotiation.

The second principle is bringing sales and executives into the strategy while it’s still being formed, not once it’s polished. When I built the ABM program for tier-one accounts at Optus, the strongest alignment came from involving sales leadership in account selection itself, not just briefing them on the output. People defend what they help build.

And with executives specifically, the currency is commercial language, not marketing language. I’ve found the fastest way to earn a seat at the table is to talk in pipeline, ROMI, and risk and let the creative and channel decisions be the implementation detail, not the headline.

“A brand narrative only works if it’s genuinely translated, culturally, politically, and commercially, not just copy-pasted into a new market.”

Could you tell us about your most challenging yet successful go-to-market experience?

Singapore, without question. We were entering the market with a positioning that had to do two genuinely different jobs at once. On one side, large financial institutions are conservative and risk-averse, needing real confidence before they’d even take a meeting with a new entrant. On the other hand, Singapore’s FinTech community is tight-knit, fast-moving, and allergic to anything that smelled like a generic enterprise pitch.

A single message couldn’t serve both audiences, so I didn’t try to force one. For the financial institutions, we leaned heavily on B2B influencers and credibility-first messaging designed specifically to de-risk the conversation, giving executives social proof and context before our sales team ever walked in the door. For the fintech segment, it was almost the opposite muscle, getting embedded in local communities and hubs and building genuinely personalised messaging around what early-stage and scale-up founders actually needed, not what we wanted to sell them.

What made it work was treating those as two distinct go-to-market motions under one positioning umbrella, rather than diluting the message to be vaguely acceptable to both. It’s a principle I’ve carried into every market entry since. Precision beats breadth, even, especially when you’re tempted to keep the message broad enough to cover everyone.

Which aspects of marketing and GTM have experienced the most significant transformation due to AI?

I think the real shift isn’t where most of the conversation is focused. Everyone’s talking about AI saving hours, faster content, faster segmentation, faster reporting, and yes, that’s real. But the more interesting transformation is in what we can now measure at all. For the first time, qualitative signals—the tone of a sales conversation, the sentiment in an account’s engagement, and the quality of a narrative—are becoming legible at scale, not just the quantitative layer we’ve always defaulted to because it was easier to count.

That matters enormously for GTM and ABM specifically, because the things that actually predict whether an enterprise deal closes—trust, narrative resonance, and stakeholder confidence—have always been real but historically invisible to our measurement systems. We’ve been optimising for hours saved and cost reduced because that’s what was legible, not because it was what mattered most. AI gives us a genuine opportunity to reset that and start measuring the layer that was always driving the outcome.

The risk I’d flag to other marketing leaders is reaching for AI purely as a substitution tool, doing the same work faster, rather than as a transformation tool that lets you measure and act on signals you simply couldn’t see before. That’s the distinction I’d encourage every GTM leader to sit with right now.

What advice would you give to marketers who aspire to move into regional or global leadership roles?

Use AI to make your research faster. Synthetic market research, especially, has become a genuinely useful first pass for sizing up a market before you commit serious budget or headcount to it. It can surface patterns and save you weeks of groundwork. But always, always speak to whoever is on the ground. Every time, without fail, they teach you something you hadn’t even thought to ask about, the kind of nuance that doesn’t show up in a model, only in a conversation. Switzerland taught me that lesson directly. No amount of desk research would have told us that the summit was being delivered in Swiss German and Swiss French, but five minutes with someone local would have.

Beyond that, get genuinely close to the operations layer early: attribution, marketing technology, and governance, even if it’s not the glamorous part of the job. The leaders I’ve seen struggle in regional roles are often brilliant strategists who can’t prove their strategy worked in language the business trusts. Boardroom credibility is built on being able to connect a creative decision to a commercial outcome, consistently.

And lead the way you’d want to be led. My own approach is “lead by example,” give people clear strategic direction, and then back them with real support to navigate the matrixed, cross-functional mess that regional and global roles inevitably are. That’s what builds teams who can execute without you in the room, which is ultimately the whole point of the role.

About Melinda Stuart

Melinda Stuart is a B2B marketing leader with expertise in global go-to-market strategy, account-based marketing, and revenue growth. Known for her systems-thinking approach, she helps organizations build scalable marketing ecosystems that align strategy, data, and technology. Passionate about AI, executive engagement, and market expansion, Melinda specializes in transforming complex business challenges into measurable outcomes while building high-performing teams and sustainable marketing operations.

The post Global GTM Starts with Local Insight: Melinda Stuart on ABM, AI, and Marketing Leadership appeared first on iTechSeries.

In this edition of the interview series, Kunnal Arora, Director of Marketing at Brillio, shares his perspectives on transforming marketing into a strategic growth engine. He discusses account-based marketing, go-to-market execution, sales alignment, AI-driven decision-making, customer expansion, and the leadership qualities modern marketers need to drive measurable business outcomes.

Welcome to the interview series, Kunnal. Could you tell us about yourself and your journey as a marketer?

Thank you. It’s a pleasure to be part of the iTech Series.

I’ve spent over one and a half decades helping technology organizations transform marketing into a strategic driver of business growth. During this time, I’ve seen marketing evolve from being viewed primarily as a brand and communications function to becoming a critical lever for revenue generation, market expansion, and competitive differentiation.

Throughout my career, I’ve had the opportunity to lead initiatives across product marketing, demand generation, field marketing, account-based marketing, go-to-market strategy, and marketing technology. That breadth of experience has reinforced one belief: the most effective marketing organizations are those that align every investment, every campaign, and every customer interaction with measurable business outcomes.

Today, as Director of Marketing at Brillio, I lead our global Field Marketing, Account-Based Marketing, and Marketing Technology strategy. I partner closely with sales, business leaders, and executive stakeholders to accelerate revenue growth, expand strategic accounts, strengthen our presence in priority markets, and maximize the commercial impact of marketing investments. My role is centered on shaping growth strategy, influencing enterprise buying decisions, and ensuring marketing catalyzes business performance.

I’ve always believed that marketing belongs at the center of business strategy. The role of a modern marketing leader extends far beyond building brand awareness. It’s about creating demand, influencing customer decisions, accelerating growth, and delivering measurable value to the business. That’s the philosophy that has guided my career.

Having built global ABM programs, which factors are most critical to creating meaningful engagement within strategic accounts?

The biggest misconception about Account-Based Marketing is that it’s a marketing initiative. It isn’t. It’s a business growth strategy.

Enterprise customers don’t buy because they receive better campaigns. They buy from organizations that demonstrate a deep understanding of their business, their industry, and the outcomes they’re trying to achieve.

Meaningful engagement begins with identifying the right strategic accounts and aligning marketing, sales, customer success, and business leadership around a shared account strategy. From there, it’s about developing deep account intelligence, understanding buying committees, identifying executive priorities, and delivering highly personalized engagement across every stage of the customer journey.

Technology and AI have made personalization scalable, but they haven’t changed what matters most. Trust, credibility, and relevance remain the foundation of every successful enterprise relationship.

Organizations also need to redefine how they measure success. Instead of focusing solely on marketing metrics, they should evaluate commercial outcomes such as account penetration, executive engagement, pipeline acceleration, customer expansion, and revenue contribution. That’s where ABM creates sustainable business value.

When entering priority growth markets, which go-to-market principles help accelerate adoption and pipeline creation?

Every market has its own customer expectations, competitive landscape, cultural nuances, and buying behaviors. One of the biggest mistakes organizations make is assuming that success in one market automatically translates into another.

Successful market expansion starts with understanding the market before trying to influence it.

Organizations need a compelling value proposition supported by localized execution, strong partner ecosystems, and close collaboration across marketing, sales, customer success, and business leadership. Sustainable growth happens when every commercial function is aligned around a common vision and shared business objectives.

Agility is equally important. Customer expectations evolve continuously, competitive landscapes shift rapidly, and organizations need the ability to adapt their messaging, investments, and execution based on real-time market insights.

The companies that consistently outperform aren’t necessarily those with the largest budgets. They’re the ones that understand their customers better, move faster, and execute with greater precision.

Marketing teams today have access to more data than ever before. Which insights best guide campaign and budget optimization?

The challenge today isn’t access to data. It’s knowing which insights actually influence business decisions.

Marketing leaders need to move beyond measuring activity and instead focus on indicators that predict commercial outcomes.

I look at the complete revenue journey, from buying intent and account engagement to pipeline quality, conversion velocity, customer acquisition cost, customer lifetime value, expansion opportunities, and revenue influence. These metrics provide a far more meaningful view of marketing performance than traditional activity-based measures.

AI and advanced analytics have fundamentally transformed how marketing operates. Today, we can predict buying behavior, identify whitespace opportunities, optimize investments, and improve customer experiences with far greater precision than ever before.

That said, data should strengthen decision-making, not replace leadership. Analytics provide evidence, but strategy comes from understanding customers, markets, and long-term business priorities.

“The biggest misconception about Account-Based Marketing is that it’s a marketing initiative. It isn’t. It’s a business growth strategy.”

Which practices most effectively drive sales and marketing alignment and shared revenue accountability?

Revenue growth has never been the responsibility of a single function.

The highest-performing organizations don’t think in terms of sales alignment or marketing alignment. They think in terms of commercial alignment.

That begins with shared objectives, common performance metrics, transparent visibility into the pipeline, and joint ownership of business outcomes. When every commercial function is accountable for pipeline quality, customer growth, and revenue contribution, collaboration becomes far more effective.

Equally important is maintaining proximity to customers. Marketing leaders should spend time understanding customer conversations, participating in strategic account discussions, and working alongside sales teams. The strongest strategies are built on customer insight rather than internal assumptions.

Ultimately, alignment isn’t about governance or process. It’s about creating a culture where every team is working toward the same commercial outcome.

As important as new customer acquisition, which strategies best drive growth within existing accounts?

One of the greatest growth opportunities for any enterprise already exists within its customer base.

Winning a customer is only the beginning. Long-term success comes from continuously creating value, strengthening relationships, and helping customers achieve new business outcomes.

Marketing has a significant role to play throughout the customer lifecycle. By working closely with sales and customer success, marketing can identify expansion opportunities, strengthen executive relationships, deliver industry insights, create thought leadership, and enable highly personalized engagement that supports long-term account growth.

The organizations that consistently outperform understand that customer expansion isn’t driven by selling more. It’s driven by creating greater value.

When customers view you as a strategic partner instead of a technology provider, growth becomes a natural outcome of the relationship.

You’ve built and mentored diverse marketing teams. Which qualities do you believe define high-performing modern marketers?

Marketing has become one of the most strategic functions within any organization.

Today’s marketers need to combine commercial acumen, customer empathy, analytical thinking, technological fluency, and creativity. Success is no longer defined by the ability to execute campaigns. It’s defined by the ability to solve business problems and influence growth.

As AI continues to reshape the industry, technical capabilities will become increasingly important. However, I believe the qualities that will continue to differentiate exceptional marketers are curiosity, adaptability, strategic thinking, collaboration, and a relentless focus on customer value.

I’ve always encouraged my teams to think beyond marketing. Understand the business model. Learn how customers create value. Spend time with sales. Study industries. Follow market trends. The more marketers understand the commercial realities of the business, the more influential they become.

The future belongs to marketers who can combine technology with strategic thinking, translate data into business decisions, and connect every marketing investment to measurable commercial outcomes.

Marketing has earned its place at the leadership table. The next generation of marketing leaders will not simply tell the brand story. They will shape business strategy, influence enterprise decisions, and become indispensable drivers of sustainable growth.

About Kunnal Arora

Kunnal Arora is Director of Marketing at Brillio, where he leads the company’s global Field Marketing, Account-Based Marketing (ABM), and Marketing Technology strategy. With over 18 years of experience in B2B technology marketing, he specializes in driving revenue growth through integrated go-to-market strategies, strategic account expansion, and data-driven marketing transformation.

A strategic marketing leader, Kunnal partners with executive leadership and sales to align marketing with business objectives, accelerate growth, and strengthen customer relationships. Passionate about building high-performing teams and measurable business impact, he believes modern marketing is a catalyst for sustainable enterprise growth and competitive advantage.

The post Kunnal Arora on Revenue-Driven Marketing, Strategic Accounts, and Global GTM Growth appeared first on iTechSeries.

With over 15 years of B2B technology marketing experience, Melissa León Quintero, Marketing LATAM Leader, Channel-Enterprise DMe at Adobe, shares how she drives business growth across LATAM through strategic GTM execution, AI adoption, and cross-functional collaboration. She discusses balancing brand and demand, measuring impact, leading through change, and building high-performing teams.

Welcome to the interview series, Melissa. Could you tell us about yourself and your journey as a marketer?

I’ve spent more than 15 years in B2B technology marketing, and I’ve had the privilege of working with some of the world’s leading technology companies, helping drive growth across Latin America.

Today, I lead Marketing for Adobe across LATAM, supporting both Channel and Enterprise businesses. What I enjoy most is connecting marketing strategy with measurable business outcomes while building strong, collaborative teams.

Beyond my day-to-day role, I’m passionate about leadership and personal growth. I enjoy speaking about topics like leadership, confidence, and impostor syndrome because I believe great marketers don’t just build brands; they also build people.

At the end of the day, what motivates me most is creating impact: for the business, for customers, and for the people I have the opportunity to work with.

What are the keys to successfully executing a GTM strategy across the LATAM region?

The biggest misconception is thinking of LATAM as a single market. It isn’t. Every country has different levels of maturity, customer behavior, partner ecosystems, and business priorities. Success starts with having one regional vision while allowing enough flexibility for local execution.

For me, the first key is staying deeply connected to the business. Marketing cannot move in one direction while the organization’s priorities move in another. Every marketing investment should support the business strategy and contribute to measurable outcomes.

The second key is collaboration. The best strategies aren’t built by Marketing alone; they’re built together with the business. When different areas contribute their perspectives, you make better decisions and execute with much greater alignment.

Another critical element is having a strong ecosystem of agencies and partners that helps scale execution across the region. LATAM is dynamic, and success depends on having trusted partners who can move quickly, adapt to changing priorities, and execute with excellence.

Finally, people make the difference. Having a talented, results-oriented team with a strong sense of ownership is essential. GTM is much more than launching campaigns; it’s about executing with discipline, continuously measuring impact, and staying focused on what really matters: driving pipeline, revenue, and sustainable business growth.

As AI becomes more integrated into marketing, how can teams balance automation with creativity and authenticity?

I don’t see AI as replacing marketers; I see it as making marketers better.

The real question isn’t whether AI will replace us. It’s how we can use AI to become more efficient, make better decisions, and create more value.

Within my team, we’re currently developing AI agents to support repetitive and operational tasks. The goal isn’t to replace people; it’s to free up time so the team can focus on what we do best: thinking strategically, being creative, and building stronger relationships with our stakeholders.

AI is an incredible accelerator. It can analyze data, automate workflows, and speed up content creation. But creativity, empathy, business judgment, and understanding customer needs are still uniquely human capabilities.

I believe the future belongs to marketers who know how to combine AI with human intelligence. AI generates content; people generate ideas, trust, and meaningful connections. The future isn’t AI versus marketers. It’s marketers who know how to leverage AI versus those who don’t.

How do you balance the need for short-term demand generation with long-term brand awareness?

I believe this is one of the biggest challenges every B2B marketer faces. We’re constantly expected to build brand visibility and long-term value while also delivering measurable business results in the short term. It’s a constant balancing act.

The way I approach it is by aligning every marketing investment with business priorities. Every decision starts with understanding where the business is, what it needs most at that moment, and where marketing can create the greatest impact. Since budgets are never unlimited, prioritization becomes one of the most strategic responsibilities of a marketing leader. Sometimes that means making difficult decisions about where to accelerate and where to be patient, but every investment should contribute to business growth, whether today or tomorrow.

I’ve learned that brand awareness isn’t just about visibility; it’s about building trust. It’s about cultivating relationships, credibility, and preference over time. Like planting seeds, it requires consistency, patience, and long-term commitment.

Demand generation may deliver faster results, but it’s much more effective when it’s supported by a strong brand. One doesn’t replace the other; they reinforce each other.

And in B2B, this balance becomes even more important because buying decisions are longer, involve multiple stakeholders, and are built on trust. That’s why I don’t see brand and demand as competing priorities. I see them as two different investments that work together toward the same objective: sustainable business growth.

“The best strategies aren’t built by Marketing alone; they’re built together with the business. Different perspectives lead to better decisions and stronger alignment.”

Could you tell us about your most challenging yet successful experience as a marketer?

One of the most challenging experiences in my career was leading a major growth initiative for one of our most strategic regions in Latin America. The objective was ambitious: marketing was expected to significantly increase its contribution to pipeline and revenue compared to the previous year.

At the same time, we experienced a significant budget reduction. So, while expectations grew, our resources didn’t grow at the same pace. That was probably the biggest challenge. The strategy remained the same; we knew where we wanted to go, but we had to completely rethink how we were going to get there. Together with my team, we continuously reprioritized investments, redesigned programs, and adjusted our execution several times as business needs evolved.

Despite those constraints, we achieved approximately 90% of our business target, which I’m incredibly proud of considering the circumstances.

But honestly, the biggest success wasn’t the number. It was seeing how the team responded. We stayed focused, remained flexible, challenged our own ideas, and found creative ways to deliver impact with fewer resources.

That experience reinforced one of my biggest leadership lessons: strategy gives you direction, but adaptability is what drives execution. In today’s business environment, being resilient and resourceful is just as important as having a great strategy.

How do you evaluate the success of a marketing program beyond the standard metrics?

In my role, I have an interesting challenge because I lead marketing across two very different routes to market: the partner ecosystem and the enterprise business. Both require different marketing approaches, different motions, and different ways of measuring impact.

Of course, standard metrics like pipeline and revenue are critical. At the end of the day, marketing needs to contribute to business growth. But I also believe we need to look beyond those numbers to understand whether our programs are truly creating value.

For the enterprise business, I look at things like engagement and coverage of strategic accounts, the quality of interactions with key decision-makers, and whether our initiatives are helping strengthen relationships and accelerate opportunities.

For the partner ecosystem, I pay close attention to program adoption, partner participation, enablement engagement, and how effectively partners are using the tools and programs we design for them. Technology adoption is also very important to me. It’s not enough to generate demand; we also need to understand whether customers are adopting the technology, using it, and seeing value from it.

So, for me, success is not only about pipeline and revenue. It’s also about adoption, engagement, usage, and whether our marketing initiatives are actually changing behaviors across both routes to market.

That is where marketing becomes more strategic.

As collaboration across revenue functions has increased, what’s the biggest change you’ve noticed?

For me, the biggest change has been breaking down silos. Business growth is no longer owned by one area; it’s the result of multiple areas working together toward the same objective.

Today, every area that contributes to business growth has a seat at the table. Bringing together Sales, Marketing, Finance, Operations, and other key stakeholders allows us to build the strategy together instead of working independently. That collaboration gives us a much more complete view of the business. It helps us align around a shared vision, a common purpose, and a clear understanding of why we’re making certain decisions, not just what we’re doing.

When every area has the opportunity to contribute to the strategy, something powerful happens. You don’t just make better business decisions; you build stronger teams, greater ownership, trust, and commitment. People stop optimizing for their own area and start optimizing for the business.

In my experience, that’s what high-performing teams do. They’re not successful because one area performs well; they’re successful because everyone is aligned, moving in the same direction, and working toward a common purpose.

The best strategies are never built by one area alone; they’re co-created by the business. And when that happens, the business results naturally follow.

About Melissa León Quintero

Melissa León Quintero is a B2B technology marketing leader with over 15 years of experience driving growth across Latin America. She specializes in GTM strategy, partner marketing, brand building, and revenue-focused marketing. Passionate about leadership and personal development, Melissa is also a speaker and mentor who advocates for authentic leadership by openly addressing topics such as confidence, resilience, and impostor syndrome while empowering others to grow and lead with purpose.

The post Leading Growth in LATAM: Melissa León Quintero on GTM, AI, and Marketing Leadership appeared first on iTechSeries.

Marketing leaders are under increasing pressure to demonstrate measurable business impact while managing tighter budgets and rising customer expectations. Improving marketing ROI requires more than launching additional campaigns. It demands smarter decisions about where to invest, who to target, and how to engage buyers effectively. Artificial intelligence is helping businesses achieve these goals by turning customer data into actionable insights, automating time-consuming processes, and optimizing marketing performance across every stage of the buyer journey. Rather than replacing marketers, AI empowers teams to improve efficiency, increase conversions, and maximize returns. 

Here are seven practical ways AI can help businesses achieve stronger marketing ROI.

1. Prioritizes High-Intent Leads

Generating a large number of leads has little value if most of them never become customers. One of the biggest reasons marketing budgets are wasted is because sales teams spend time pursuing prospects that have little intention of buying.

AI improves lead qualification by analyzing behavioral data such as website visits, content downloads, email engagement, firmographic information, and previous interactions. Instead of assigning scores based on fixed rules, AI continuously learns from historical conversion data to identify patterns that indicate purchase intent.

This enables marketing and sales teams to focus their efforts on prospects who are more likely to convert. Qualified leads move through the sales funnel faster, reducing acquisition costs and improving overall conversion rates.

For B2B organizations with long buying cycles and multiple decision makers, accurate lead prioritization ensures resources are invested where they generate the greatest business impact.

2. Delivers Personalization That Increases Conversions

Modern buyers expect personalized experiences throughout every stage of their purchasing journey. Generic messaging often fails because it does not address individual business challenges or buying intent.

AI makes personalization scalable by analyzing customer behavior, industry, company size, previous interactions, and content preferences. Instead of sending identical emails or displaying the same website experience to every visitor, AI helps marketers tailor messaging, recommendations, and offers for different audiences.

For example, a software company can automatically recommend case studies relevant to a visitor’s industry or send product information based on previous content consumption. Prospects receive information that matches their interests, making engagement more meaningful.

Relevant experiences increase email open rates, improve click-through rates, encourage longer website sessions, and ultimately generate more qualified opportunities. Higher engagement leads to stronger conversion performance without increasing marketing spend.

3. Optimizes Advertising Budgets

Digital advertising often consumes a significant portion of AI marketing budgets. Poor audience targeting or inefficient bidding strategies can quickly reduce campaign profitability.

AI helps marketers allocate advertising budgets more effectively by continuously evaluating campaign performance across multiple channels. It identifies high-performing audience segments, adjusts bidding strategies in real time, and shifts spending toward campaigns delivering stronger results.

Instead of waiting until a campaign ends to analyze performance, AI detects changes as they happen and recommends immediate optimization opportunities. This allows marketers to reduce spending on underperforming campaigns while maximizing investment in high-converting audiences.

The result is improved return on ad spend, lower customer acquisition costs, and better utilization of every advertising dollar.

4. Predicts Customer Behavior Before It Happens

Traditional reporting explains what happened after a campaign has finished. AI enables marketers to look ahead by identifying patterns that predict future customer behavior.

Predictive analytics uses historical performance, engagement trends, CRM data, and buying signals to forecast which prospects are most likely to convert, which customers may disengage, and where new opportunities may emerge.

These insights help marketers make proactive decisions rather than reacting after opportunities have been missed. Campaigns can be adjusted before performance declines, retention initiatives can begin before customers leave, and sales teams can engage prospects at the right moment.

Better forecasting also improves marketing planning by helping organizations allocate resources toward activities that are more likely to generate measurable business outcomes.

5. Reduces Operational Costs Through Automation

Many marketing activities require considerable manual effort but contribute little strategic value. Reporting, audience segmentation, email scheduling, campaign monitoring, lead routing, and workflow management often consume hours that could be spent on planning and optimization.

AI automates these repetitive processes while maintaining consistency and accuracy. Marketing teams spend less time performing administrative work and more time developing campaigns, creating content, and improving customer experiences.

Automation also reduces human error and accelerates campaign execution. Tasks that previously required several hours can often be completed within minutes, allowing businesses to launch campaigns faster without increasing team size.

Improving productivity without adding operational costs directly contributes to stronger marketing ROI.

6. Improves Content Performance Using Data

Producing large volumes of content does not guarantee marketing success. ROI depends on creating content that attracts the right audience, answers relevant questions, and supports buying decisions.

Artificial intelligence helps marketers identify high-performing topics by analyzing search behavior, customer interests, engagement patterns, and competitive content. These insights enable content teams to prioritize subjects with greater potential to generate traffic and conversions.

Generative AI can also accelerate content production by assisting with blog outlines, email drafts, social media copy, and campaign messaging. Human marketers remain responsible for strategy, expertise, and editorial quality, while AI reduces production time and increases efficiency.

AI also measures how content performs after publication, identifying opportunities to refresh existing articles, improve engagement, and extend the value of previously created assets.

By combining data-driven planning with faster execution, businesses can generate stronger returns from their content marketing investments.

7. Provides Clearer Marketing Attribution

One of the greatest challenges for marketing leaders is demonstrating how marketing activities contribute to revenue. Customers often interact with multiple channels before making a purchase, making attribution difficult using traditional reporting methods.

AI connects customer interactions across email campaigns, websites, paid advertising, social media, webinars, and CRM systems to build a more complete picture of the buyer journey.

Instead of evaluating channels independently, marketers gain visibility into how different touchpoints influence purchasing decisions. This allows organizations to identify which campaigns consistently generate qualified pipeline and which activities produce limited business value.

Accurate attribution supports better budgeting decisions because investments can be directed toward initiatives with the strongest revenue impact. It also strengthens collaboration between marketing and sales by providing shared visibility into customer engagement and conversion performance.

Conclusion

Artificial intelligence is changing how businesses approach marketing by making campaigns more efficient, data-driven, and customer-focused. From identifying high-value prospects and delivering personalized experiences to optimizing advertising spend and improving attribution, AI enables marketers to achieve better results with existing resources. However, technology alone does not guarantee higher ROI. Success depends on combining AI-driven insights with strategic planning, creativity, and a deep understanding of customer needs. Organizations that adopt AI with clear business objectives and continuously refine their approach will be better equipped to improve marketing performance, strengthen customer relationships, and drive sustainable long-term business growth.

The post 7 Practical Ways AI Helps B2B Marketing Teams Maximize ROI appeared first on iTechSeries.

As AI reshapes marketing and enterprise teams prioritize revenue alignment, marketers must rethink how they create value. In this interview, Nicholas Braman, Marketing Director APJ at Kyriba, shares insights on aligning marketing with sales, leveraging AI for strategic advantage, building scalable demand generation and ABM programs, measuring meaningful outcomes, and developing the leadership mindset for long-term success.

Welcome to the interview series, Nicholas. Could you tell us about yourself and your journey as a marketer?

When I land in a new role, the work usually starts the same way. A region or a category where the marketing playbook hasn’t been built yet, and I build it.

I came across Shanghai and Singapore, then spent four years at Ingram Micro Cloud running channel marketing across ASEAN and Hong Kong. That’s where I first learned the true meaning of regional execution by building cross-market programs in areas that had previously been treated as isolated geographies.

After Ingram, I moved vendor-side and stayed there. BitTitan. Dataiku. Now Kyriba, where I’m Marketing Director APJ. At Kyriba I’ve been building demand generation and ABM across a region that historically hadn’t run as a coordinated marketing motion. KyribaLive X, our regional flagship, has grown from 80 attendees in its first year to 300 in its third. The companies are different; the categories are different. The job is always roughly the same. Walk into something that doesn’t have a working version yet, and figure out how to make it work.

I didn’t plan for that pattern, but I’ve come to suspect I’m drawn to it for a specific reason. The work where the playbook already exists is the work where the upside is bounded. The places where it doesn’t yet exist are the places where what you build can still matter.

The pattern is the career. I’m not sure if I chose it or it chose me.

What are the most important elements of a successful marketing and sales alignment strategy in enterprise B2B organizations?

A shared scoreboard, and the right one. If marketing measures itself by MQLs and sales measures itself by closed-won, you’re already misaligned, and no amount of process will fix it. The only metric that produces real alignment is pipeline and bookings, owned jointly.

Yes, marketing tracks its own sourced and influenced contribution. That’s how we judge our performance and where we lean in. But mature teams don’t live and die by attribution arguments. The number we’re chasing is the same number sales is chasing. If you find yourself in monthly meetings fighting over whether a deal was marketing-sourced or sales-sourced, the issue isn’t your attribution model. The issue is that marketing and sales aren’t actually working toward the same goal yet. Fix that first.

Second, language. Marketers default to marketing language: funnels, channels, engagement scores. Sales talks about deals, stages, and pipeline coverage. The fix is for marketers to learn to speak in sales terms, fluently, by default. Pipeline stages. Deal velocity. Forecast risk. Account intent signals. If you cannot translate your work into those terms unprompted, you are not aligned. You’re just adjacent.

Third, frequency of real conversations. Not status meetings. Sit with the AEs. Listen to what they’re actually telling prospects. Notice when their language drifts from yours and figure out why.

The rest is theater.

How do you see the role of marketers evolving as AI becomes more integrated into daily workflows?

The cost of execution is collapsing. Creating a landing page, a sequence, a webinar abstract, and a first-pass campaign brief—all of it is getting close to free. Which means the work that used to define a marketer’s value, producing the output, is no longer where the value sits.

Judgment is where it sits. Taste. Knowing what not to do.

I think we’re heading into a period where the marketers who win are the ones who can look at a sea of plausible AI-generated options and pick the one with the most signal in it. The ones who can say “no, this is the wrong campaign, even though it scored well on the rubric” have a different muscle than the ones most marketers have spent the last decade training.

There’s a real risk on the other side: AI flooding the commons. Everyone uses the same models, prompts converge, output converges, and the entire category starts to sound the same. If your strategy is to ship more AI-generated content faster than the next person, you’re not building an advantage. You’re contributing to the flood.

The role evolves toward editor, curator, and operator with taste. Less typing, more deciding.

“We’re heading into a period where the marketers who win are the ones who can look at a sea of plausible AI-generated options and pick the one with the most signal in it.”

Where do you see AI delivering the most value today within demand generation, ABM, content, or analytics?

The easy, obvious place to point is content, because that’s where visible AI usage has exploded. But more isn’t better. Doing more doesn’t mean what you’re doing is more valuable. So I’d push back on the framing.

The way I think about it is two tracks.

Track One is Save Time. This is where most marketers are today: copywriting and content production, data analysis, and reporting. Real efficiency gains, no question. We’re all faster now. But this is also exactly where the commons get flooded. If your entire AI strategy lives on Track One, you’re saving time on activity that increasingly looks like everyone else’s activity. That’s a productivity gain, not a strategic one.

Track Two is Do New Things. This is where AI delivers value humans literally could not deliver before. Personal agents that run synthesis and prep work overnight so a marketing leader walks into the morning with the analysis already done. Per-account intelligence at the depth a CFO conversation actually requires, refreshed continuously across hundreds of accounts. Translation between markets at a quality that’s actually usable, not just readable. Account-level personalization at scale that was impossible by hand.

Track One is table stakes. Every marketing team will have it inside the next eighteen months, and no one will get credit for it.

Track Two is where the real advantage compounds. The marketers and teams investing in things they couldn’t do at all before AI are building muscle the rest of the field doesn’t have yet. That’s where I’d point anyone asking where AI delivers the most value today.

Could you tell us about your most memorable experience as a marketer?

KLX Singapore last year. Not because it was the biggest thing I’ve ever built, but because it was the first time so many separate pieces of what I’d learned over my career came together in one event.

We aimed for 150 attendees. We hit 220, more than doubling the previous year’s number. We secured a big-name motivational speaker, someone with no connection to our industry, through a network I’d built through personal projects entirely outside of work. Bringing in voices unrelated to our category was something I’d been advocating for since year one of running the program. My belief: the best B2B events stop pretending the audience only wants to hear about the product. They bring in people who change how the room thinks about itself. The venue was beautiful. The branding was sharp. Deals closed afterwards.

What made it memorable wasn’t any single piece. It was the recognition mid-event that almost every executional skill and instinct I’d built up over the last decade was load-bearing in that room. The vendor management muscle from Ingram. The ABM thinking from BitTitan. The roundtable program design from Dataiku. The brand instincts and personal network from years of work I’d been doing on my own time.

Most events, you’re executing someone else’s idea. That one was mine, top to bottom.

Beyond the standard metrics, what additional indicators do you track to evaluate the effectiveness of your marketing strategies?

I’m wary of “additional indicators” because in most marketing teams that phrase is code for vanity metrics dressed up as rigor. MQL counts, content downloads, social impressions. I don’t track those, and I don’t let my team be measured on them.

Beyond pipeline and bookings, what I do watch is sales conversation rate per program touch. If we run a roundtable for 20 CFOs and none of them convert into a sales conversation in the next 60 days, the program failed regardless of how good the room felt. Repeat engagement matters too. Are the same accounts coming back to our second event, our third? That tells me whether we’re building relationships or just renting attention. And verbatim feedback. What prospects actually say in surveys and Gong calls. Not the NPS score. The language they use.

I also treat new initiatives differently from mature ones. For anything we’re running for the first time, I’m pilot-first. The advice to “fail fast” is clichéd, but I believe in it. The way I operationalize it: don’t overinvest in something the first time you do it. Run it quick and dirty. Validate that there’s a signal before you spend real budget or build out the surrounding machinery. If the pilot shows promise, then you scale it, formalize it, and replicate it across regions. Most teams I’ve worked with skip the pilot stage and overbuild on day one, which means when the idea doesn’t work, the failure is expensive and slow to diagnose.

The personal one I track: am I getting better at predicting which programs will work before we run them? That’s the leading indicator of whether my judgment is improving, which is the only KPI I really care about over a five-year horizon.

What advice would you give to marketers aspiring to move into leadership roles?

Four things. None of them are comfortable.

One. Own a number, not an activity list. The fastest way to stay junior is to be the person who “ran the campaign.” The fastest way to move up is to be the person whose name is attached to a pipeline target and who can speak to it without a deck.

Two. Get range. I’ve worked across channel, demand gen, ABM, events, content, and partner marketing across consumer, B2B SaaS, and enterprise software. Not because I planned it, but because I said yes when something needed doing, and I didn’t know how. Range is the credential that actually matters at the leadership level. Specialists get hired. Generalists get promoted.

Three. Don’t optimize for the title. Optimize for the scope. A “Manager” role in a region where the playbook doesn’t exist will teach you more in 18 months than a “Senior Manager” role inside a mature function will teach you in five years.

Four, and this one is current. Get ahead of AI, but don’t rely on it. The marketers who’ll lead in five years are the ones treating AI as something to understand deeply right now, not as a shortcut to ship faster. Lean on it as a crutch, and you’ll be replaced by it. Get ahead of it, and you’ll lead the team that uses it well.

One last thing. Ship the work. The good leaders I know never stopped writing, never stopped editing, never stopped getting their hands on the artifact. That’s not nostalgia. That’s where judgment is built.

About Nicholas Braman:

Nicholas Braman is Marketing Director APJ at Kyriba, based in Singapore. He has spent a decade building marketing functions across Asia-Pacific, at leading technology companies in regions and categories where the playbook didn’t yet exist. His current work focuses on pipeline-disciplined demand generation, sales-marketing alignment, and applying AI to the parts of marketing that couldn’t be done before, rather than the parts that can already be done faster.

The post Nicholas Braman on Building Markets, Driving Pipeline, and Leading with AI appeared first on iTechSeries.

Matthew Danese, Senior Enterprise Growth Marketing Manager at Webflow, shares his perspective on building demand generation programs that drive real pipeline growth. He discusses the importance of ICP clarity, full-funnel accountability, scalable global growth strategies, evolving enterprise buying journeys, AI-powered personalization, and cross-functional alignment in modern B2B marketing.

Welcome to the interview series, Matthew. Could you tell us about yourself and your journey as a marketer?

So I started my career writing copy for a rug and furniture company, which was not exactly a glamorous entry point, but I knew marketing was where I wanted to be, and I needed a foot in the door. From there, I moved to a law firm where I handled digital marketing, and about a year and a half out of college, my two other marketing colleagues quit at the same time, so overnight, I became a one-person department with no real idea what I was doing.

That forced education was probably the most valuable thing that happened to me early on. I had to figure out SEO, paid media, CRO, content, PR, and traditional marketing simultaneously. And not because it was a growth plan, but because there was no one else to do the job. That generalist foundation has followed me through every role since and helped me really expand the width of my T-shaped marketing experience.

I spent the years after that moving through tech startups, going deeper into each discipline, and eventually narrowing into paid media as my core. Now I run enterprise paid media at Webflow. Brand and Demand Gen across LinkedIn, Google, Meta, Reddit, and YouTube (and more experimental channels like ChatGPT Ads) to drive real pipeline, not just impressions.

The thing I keep coming back to is that this field never stops changing. AI has genuinely transformed how I work. The pace at which I can analyze, test, and iterate looks nothing like it did three years ago. That constant evolution is what I’ve always loved about marketing.

You’ve built demand generation programs across multiple organizations. What core principles have consistently driven pipeline growth?

A few things have held up regardless of company size or channel mix.

First: get the ICP right before touching the budget. The most expensive mistake in demand gen is spending efficiently against the wrong audience. High CTRs and low CPLs don’t mean anything if the leads don’t convert to pipeline.

Second: own the full funnel, not just the top. Demand gen doesn’t end at the lead. I’ve always pushed to understand what happens after a form submit, how leads are scored, how they’re routed to sales, and where they drop off. If I’m generating MQLs that sales is ignoring, that’s my problem to fix, not theirs.

Third: Platform data is directional, not the truth. This is something I’m pretty firm on. LinkedIn and Google will tell you what you want to hear if you let them. I always reconcile against CRM data (Salesforce and Tableau currently) before drawing any conclusions. The delta between platform-reported conversions and actual MQLs in the database is often where the real insight lives.

And fourth: test with structure. Not random experimentation, structured tests where you know what you’re changing, why, and what outcome would change your decision. Most “testing” I see is just spending money in different places and calling it a test.

As a Growth Marketing Manager, how do you build scalable growth strategies while adapting to the unique needs of local markets?

The core tension in international expansion is that what scales globally often misses locally, and what works locally doesn’t always tell you anything useful at scale.

My approach is to treat regional markets as distinct audiences first, not as footnotes to a global strategy. At Webflow, EMEA is always segmented separately from NAMER before any analysis. That’s not just a reporting preference; it’s because EMEA leads have historically shown different SAO pull-through rates, different creative response patterns, and different buying timelines. If you lump them together, you mask NAMER performance and draw the wrong conclusions about what’s working.

Concretely, that means separate campaign structures, separate budgets, and separate creative work where the buying context differs. It also means being honest about where you have enough data to optimize versus where you’re still in learning mode. I’d rather acknowledge uncertainty than over-index on a small EMEA sample and build a strategy on shaky signals.

The scalable layer is usually the framework, not the execution. Audience architecture, attribution logic, and funnel stage sequencing are the principles that translate. The messaging, the creative angles, and sometimes the channels need to flex by market.

Enterprise buying journeys have become more complex. How has your demand generation strategy evolved to engage modern B2B buyers?

The biggest shift I’ve made is moving away from thinking about demand gen as a lead-capture exercise and toward thinking about it as a buying environment you’re building over time.

Enterprise deals don’t happen because someone clicked an ad and filled out a form. They happen because a buying group (usually five to ten people) independently encountered your brand, formed a point of view, and eventually reached a moment where the problem was urgent enough to act on. My job is to be present in as many of those moments as possible, not just to capture the ones at the bottom.

That’s changed how I think about channel mix. LinkedIn isn’t just a lead gen platform for me. It’s where I’m building familiarity with buying committees who might now convert for six months. Brand awareness campaigns, thought leadership content, sponsored messages to specific account lists, etc. Those aren’t soft plays; they’re infrastructure for the demand that shows up later.

It’s also changed how I evaluate what’s working. I pay attention to pipeline velocity and SAO quality, not just MQL volume. A high-volume quarter that produces a low-quality pipeline is worse than a lower-volume quarter where the leads close. That downstream orientation has to be built into how you measure and report, not just how you think.

“When you anchor the conversation on what we’re all trying to accomplish rather than defending your lane, alignment gets a lot easier.”

How are AI and automation reshaping growth and demand generation strategies in marketing?

Honestly, it’s less about AI replacing workflows and more about AI removing the excuse for not doing the high-value work.

The things that used to take days, like pulling performance data, synthesizing cross-channel reports, writing creative variations, and building audience logic, can now happen in hours. That’s meaningful, but only if you use the time it frees up to think harder about strategy, not just move faster on the same tasks.

Where I think the real shift is happening is in personalization at scale. Enterprise buyers expect relevance. The right message for their industry, their role, their stage in the buying journey. That was hard to operationalize before. AI makes it tractable. Dynamic landing pages, account-specific ad sequencing, and real-time creative adaptation aren’t experiments anymore; they’re becoming table stakes.

The other piece I’m watching closely is AI’s impact on search behavior. Buyers are increasingly getting answers from AI assistants rather than clicking through to search results. That changes the demand capture game. If your brand isn’t being cited in AI-generated responses, you’re invisible in a growing share of the discovery journey. Answer engine optimization is something I’m building into our paid strategy flywheel now.

The risk with AI and automation is using it to go faster without getting smarter. Automation amplifies whatever strategy you put into it, and if the strategy is wrong, you just fail faster. The fundamentals (ICP clarity, offer relevance, down-funnel measurement) still determine whether any of this works.

Could you tell us about your most memorable experience as a marketer?

Two very different experiences come to mind, and I think together they capture the full range of what makes this job interesting.

The first is being part of the Kustomer acquisition by Meta. Going from a scrappy startup into one of the largest companies in the world was genuinely eye-opening. The scale is one thing, but what stuck with me was the access. Being surrounded by hundreds of incredibly talented marketers and being able to just reach out to anyone across the business to learn. That internal network was something I’d never experienced before, and it reshaped how I think about building connections and investing in the people around me.

The second is a lot harder to explain on paper. I once stood outside Madison Square Garden during the Westminster Dog Show, getting strangers to talk to an AI dog. Experiential marketing at its most unhinged, but there’s something about being that close to real people reacting to something in real time that no dashboard can replicate. You learn things about how people actually respond to ideas that you’d never pick up from platform metrics.

One experience taught me the value of being inside a world-class machine. The other reminded me that marketing is ultimately about human reaction, and sometimes you have to go stand outside a dog show to remember that.

How do you build strong cross-functional alignment across sales, product, content, and marketing teams?

The honest answer is that alignment is mostly a communication design problem, not a relationship problem. Most cross-functional friction comes from people operating with different information, different success metrics, or different timelines, not from bad intentions.

The thing that’s worked best for me is radical specificity about what I own and what I need from others, delivered proactively. If I’m launching a campaign, sales need to know what the lead criteria are, what the follow-up SLA expectation is, and what they should say when a lead references the ad. If I don’t tell them that, I can’t blame them when the handoff breaks.

With the product, the key for me has been timing. Campaigns that launch before product UX is ready, or that promise a capability that’s two releases away, create downstream trust problems that are hard to recover from. I try to build a direct line to the product early, not to get a seat at every meeting, but to have enough visibility that I’m not caught off guard.

With content, the alignment question is usually about intent match, so is the content we’re promoting the right offer for where this audience is in the funnel? That conversation goes better when you show up with data (“this asset drives 3x the MQL pull-through of that one”) rather than opinions.

The throughline is leading with shared outcomes. Sales wants a pipeline. Marketing wants a pipeline. Product wants adoption. Content wants to build authority that drives the pipeline. When you anchor the conversation on what we’re all trying to accomplish rather than defending your lane, alignment gets a lot easier.

About Matthew Danese:

Matthew Danese is a B2B demand generation and growth marketing leader with over nine years of experience building full-funnel programs across startups and enterprise organizations. Currently leading enterprise paid media at Webflow, he specializes in demand generation, paid media, ABM, CRO, and AI-powered growth strategies. Known for his data-driven approach, Matthew focuses on driving measurable pipeline growth, optimizing buyer journeys, and aligning marketing efforts with business outcomes.

The post Building Demand That Converts: Matthew Danese on Driving Real B2B Pipeline Growth appeared first on iTechSeries.

Most B2B marketing struggles with timing, reaching buyers either before they’re ready to purchase or after they’ve already shortlisted vendors. Intent-based marketing solves this challenge by helping businesses identify prospects actively researching products or services. By analyzing signals such as website visits, content engagement, search behavior, and third-party research activity, marketers can pinpoint in-market buyers and deliver relevant, personalized outreach at the right moment. This data-driven approach improves lead quality, increases conversion rates, and maximizes marketing ROI. In this blog, we’ll explore what search intent marketing is, why it matters for B2B growth, and how to turn buyer signals into a pipeline.

What Is Intent-Based Marketing?

Intent-based marketing, or intent marketing, is a data-driven strategy that helps businesses identify and engage prospects who are actively researching products or services related to their offerings. Instead of targeting audiences solely based on demographics, company size, or job titles, intent-based marketing focuses on behavioral signals that indicate buying interest. These signals can include website visits, content downloads, keyword searches, review site activity, pricing page visits, and engagement with competitor content.

By analyzing both active intent (such as searching for product reviews or pricing information) and passive intent (such as researching a broader category), marketers can determine where prospects are in their buying journey. This enables sales and marketing teams to deliver timely, personalized messages that match a buyer’s needs and level of interest.

For B2B organizations, a high-intent marketing funnel improves lead prioritization, increases conversion rates, and helps teams focus their resources on accounts most likely to purchase, resulting in more efficient pipeline generation and higher marketing ROI.

Why Intent-Based Marketing Matters for B2B Growth

Modern B2B buyers expect relevant, personalized experiences throughout their purchasing journey. Intent-based marketing enables businesses to meet these expectations by identifying prospects actively researching solutions and delivering timely, tailored messaging. Instead of relying on broad campaigns, marketers can focus on accounts that have demonstrated genuine buyer intent data, improving both efficiency and conversion rates.

One of the biggest advantages of intent-based marketing is precise audience targeting. By combining first-party and third-party intent signals with firmographic data, businesses can prioritize high-value accounts, personalize outreach, and align marketing efforts with sales objectives. This not only improves lead quality but also shortens sales cycles by engaging buyers when they’re most likely to make a decision.

Intent data also strengthens content generation and SEO strategies by revealing the topics, keywords, and pain points that matter most to potential customers. These insights help marketers create relevant content that attracts qualified traffic and nurtures prospects throughout the buying journey.

In addition, high-intent marketing supports Account-Based Marketing (ABM) by identifying in-market accounts and triggering personalized campaigns across multiple channels. The result is higher engagement, better marketing ROI, reduced wasted ad spend, and stronger sales and marketing alignment. For B2B organizations focused on predictable pipeline growth, intent-based marketing has become a competitive advantage rather than just another marketing tactic.

How to Leverage Intent-Based Marketing for Business Growth?

Here are five proven steps to leverage an intent-based marketing strategy, engage high-intent buyers, and accelerate business growth using intent marketing tools.

Define Your Ideal Customer Profile and Intent Signals

Start by identifying your ideal customer profile (ICP) and the behaviors that indicate buyer intent data. These signals may include visits to pricing pages, content downloads, product comparisons, webinar registrations, or repeated website visits. Mapping these actions helps prioritize high-intent prospects and builds a stronger buyer intent marketing strategy.

Combine First and Third-Party Intent Data

Leverage first-party data from your website, CRM, and marketing automation platform alongside third-party intent data from review sites, publisher networks, and industry platforms. Using intent marketing tools to combine multiple data sources provides a complete view of buyer behavior, enabling more informed marketing and sales decisions.

Personalize Content and Outreach

Use intent insights to deliver content that aligns with each buyer’s stage in the purchasing journey. Educational resources work best for early-stage prospects, while case studies, product demos, pricing pages, and competitor comparisons help decision-stage buyers move toward conversion with personalized, relevant experiences.

Automate Marketing and Sales Workflows

Integrate B2B intent data with your CRM and marketing automation tools to trigger timely actions. Automatically assign high-intent leads to sales, launch personalized email sequences, retarget accounts with relevant ads, and notify sales teams when buying signals reach predefined thresholds.

Measure, Optimize, and Scale

Continuously monitor key performance metrics such as pipeline contribution, conversion rates, engagement, cost per opportunity, and ROI. Analyze which intent signals drive the best outcomes, refine your targeting strategy, optimize campaigns, and scale successful workflows to maximize long-term business growth.

Success Stories: Intent-Based Marketing Strategy

Many leading B2B companies use search intent marketing to identify active buyers, personalize engagement, and accelerate pipeline growth and revenue.

• Oracle uses buying intent data to identify organizations researching enterprise software, cloud infrastructure, and ERP solutions. By combining intent signals with account-based marketing (ABM), Oracle delivers personalized content and targeted campaigns, helping accelerate sales cycles and improve pipeline quality.
• 6sense combines AI with B2B intent data to identify anonymous buying signals and predict purchase readiness. Marketing and sales teams use these insights to prioritize high-intent accounts, automate outreach, and optimize their intent marketing funnel, resulting in higher conversion rates and a more predictable revenue pipeline.
• Demandbase integrates B2B intent data with ABM to identify companies actively researching relevant solutions. Using buyer intent marketing, businesses personalize website experiences, launch targeted advertising, and notify sales teams when key accounts exhibit buying intent, leading to stronger engagement and improved ROI. 
• Adobe leverages buying intent data across its digital marketing ecosystem to deliver personalized content, product recommendations, and targeted campaigns. By analyzing customer behavior and engagement signals, Adobe helps businesses engage prospects with relevant messaging, improve lead quality, and increase conversions throughout the buyer journey.

Conclusion

Intent-based marketing enables B2B organizations to engage buyers at the right time by using real-time behavioral signals instead of guesswork. It helps businesses identify high-intent accounts, personalize outreach, and strengthen alignment between marketing and sales. By combining buying intent data with automation, relevant content, and ongoing optimization, companies can improve lead quality, increase conversions, shorten sales cycles, and maximize ROI. As B2B buying becomes more digital and competitive, adopting an intent-based marketing strategy is essential for building a predictable pipeline, driving sustainable growth, and gaining a competitive advantage.

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