In today’s B2B landscape, speed and focus decide who wins deals and who misses them. Yet many GTM teams still rely on lagging, fragmented data that slows decisions and weakens execution. GTM Intelligence changes that. By unifying real-time market signals, buyer intent, and customer data, it helps revenue teams see where to focus before opportunities peak. Instead of reacting to what already happened, teams can act on what’s likely to happen next. In this blog, we explore what GTM Intelligence is, why it matters, and how it enables faster prioritization, smarter targeting, and more predictable growth across sales, marketing, and revenue operations.

What is GTM Intelligence?

Go-to-market (GTM) intelligence is the practice of turning market, customer, and competitive data into clear, actionable insights that guide where and how revenue teams should focus. Unlike traditional market research, which is often static and retrospective, GTM intelligence is dynamic and decision-oriented. It answers critical questions such as who the ideal customers are, what problems they’re trying to solve, how they buy, and which messages and channels will resonate most.

GTM intelligence connects strategy to execution by combining quantitative data (market size, growth, and competitor positioning) with qualitative context (buyer behavior, preferences, and emerging trends). The result is sharper prioritization, stronger alignment across teams, and faster, more confident go-to-market decisions that directly support revenue growth.

Key benefits of GTM intelligence in go-to-market strategy

A data-driven go-to-market strategy depends on clarity and alignment, and GTM Intelligence delivers all three. By combining traditional business intelligence with real-time market signals, GTM Intelligence unifies sales, marketing, and revenue operations around a single source of truth. This alignment strengthens your overall go-to-market plan, eliminates silos, and ensures teams are working toward shared revenue goals. When everyone tracks the same KPIs and understands how marketing activity influences pipeline and revenue, collaboration improves, and execution becomes more consistent.

GTM Intelligence also significantly improves pipeline forecasting and accuracy. Instead of relying on static historical data, teams can incorporate real-time engagement signals, sales activities, and market shifts to create dynamic forecasts. This allows leaders to spot risks early, adjust targets confidently, and allocate resources where they will have the greatest impact.

Another key benefit is smarter buyer journey management and lead prioritization. GTM Intelligence leverages artificial intelligence to identify high-intent accounts, highlight the most influential touchpoints and surface conversion-driving patterns. Sales teams spend less time chasing low-quality leads and more time engaging buyers who are ready to move forward, making the go-to-market plan more efficient and revenue-focused.

By continuously diagnosing the funnel breakdowns, stalled deals, and misaligned spending helps teams fix issues before they impact results. Combined with real-time market and competitive insights, GTM Intelligence empowers organizations to adapt faster, optimize spending, and maintain a durable competitive advantage.

What are the core pillars of GTM Intelligence?

The core pillars of GTM Intelligence form the foundation that enables modern go-to-market teams to execute a smarter, data-backed go-to-market plan. At its heart, GTM intelligence combines buyer intent, account-level signals, timing optimization, and personalization at scale to replace static planning with real-time execution. Buyer intent reveals which companies and stakeholders are actively researching solutions, signaling genuine in-market demand before buyers formally engage. 

Account signals add critical context by tracking meaningful changes such as hiring trends, funding activity, technology adoption, and leadership moves, helping teams understand why an account may be primed for action. Timing optimization then connects these insights, ensuring that sales and marketing engage buyers at the moment when relevance is highest, rather than relying on outdated lead stages or assumptions. Personalization at scale turns intelligence into impact by tailoring messaging, outreach, and campaigns to specific buyer needs, roles, and priorities without sacrificing efficiency. Together, these pillars create a connected intelligence layer that aligns sales, marketing, and revenue operations around a shared view of the market, enabling faster decisions, stronger engagement, and more predictable growth in a buyer-driven world.

How to conduct B2B market intelligence: a step-by-step approach?

Every intelligence initiative must begin with clear objectives. Before gathering data, define what success looks like and how insights will shape your GTM strategy. Then follow structured steps to create, implement, and operationalize GTM intelligence effectively.

Step 1: Define objectives and business questions

Start by clearly defining why you are conducting B2B market intelligence and how it will support your GTM strategy. A modern GTM intelligence platform can help structure these objectives by connecting data to revenue outcomes. Identify the key questions you need answered, such as where growth opportunities exist, how competitors are positioned, or which segments show buying intent. Clear objectives ensure focus, alignment, and strategic relevance.

Step 2: Align stakeholders and ownership

Market intelligence impacts marketing, sales, product, and leadership, so early alignment is critical. To maximize the value of a GTM intelligence platform, agree on shared definitions, priorities, and success metrics across teams. Assign ownership for collecting, analyzing, and distributing insights to ensure intelligence is trusted, consistently used, and embedded into everyday decision-making processes.

Step 3: Axdit data readiness and foundations

Evaluate the quality of your existing data across CRM, marketing platforms, and sales tools before activating a GTM intelligence platform. Strong business intelligence depends on clean, integrated data. AI models are only as effective as the data feeding them, so governance, accuracy, and system integration are essential to avoid misleading conclusions and maximize predictive performance.

Step 4: Collect and synthesize intelligence sources

Combine multiple sources to build a complete market view that informs your GTM strategy. Use internal performance data, external research, competitive signals, and real-time intent data. Synthesize quantitative and qualitative inputs to identify patterns, shifts, risks, and opportunities aligned with your strategic priorities.

Step 5: Activate insights and continuously refine

Turn insights into action by adjusting targeting, messaging, prioritization, and product direction. Measure impact using pipeline, conversion, and win-rate metrics. Continuously refine intelligence inputs using both business intelligence dashboards and artificial intelligence-driven insights to keep your go-to-market plan dynamic, relevant, and decision-driven.

Conclusion 

GTM Intelligence is transforming the way B2B teams approach the market by turning fragmented data into actionable insights. By combining real-time buyer intent, account-level signals, and AI-powered analysis, it allows for smarter targeting, faster decisions, and more predictable revenue growth. Implementing a structured market intelligence process ensures teams stay aligned, prioritize high-value opportunities, and adapt quickly to market shifts. Beyond driving pipeline and conversions, GTM Intelligence strengthens cross-functional collaboration, reduces inefficiencies, and uncovers hidden opportunities. In a competitive landscape where speed and insight matter, adopting GTM Intelligence is essential for sustained success.

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Sloan Newman, North American ABM Manager at NTT DATA, shares his journey from international agency experience to leading award-winning marketing programs. In this conversation, he discusses account-centric strategies at scale, balancing global frameworks with regional flexibility, and building high-performing teams, emphasizing how relationships, alignment, and precision transform modern marketing beyond traditional metrics.

Welcome to the interview series, Sloan. Could you share your journey to becoming a marketing leader?

Thanks for having me—and for including me in the iTech Series Unplugged. I’m genuinely honored to be part of the conversation.

I’ve never been especially comfortable calling myself a “leader.” For me, progress has always come from people, relationships, and shared ownership—not individual titles. That belief sits at the center of both my career and my writing.

My path into marketing started early. I’m the son of two public relations professionals, so storytelling and messaging were part of everyday life growing up. After beginning my career at an agency in Charleston, South Carolina, I completed graduate studies in International Marketing Strategy and Communications in London and France. Living and working internationally taught me that marketing isn’t just tactical—it’s contextual.

I spent six years on the agency side with MSL London, Life Healthcare Communications, and KRISPIN Marketing in Germany, learning how to earn trust quickly and align stakeholders under pressure. I returned to the U.S. in 2011 to join Microsoft Advertising and then went on to lead marketing teams across service-based organizations in the Puget Sound.

That path eventually led me to NTT DATA’s Global IP Transit division. In 2022, I stepped into the role of North American ABM Manager. In 2023, the work we did as a global team was recognized for the Forrester’s Program of the Year award, along with honors from Marketing Week and B2B Marketing. Those awards validated a long-held belief: when marketing is built around relationships and long-term value, it works—at scale.

Where have you seen the most significant change in marketing’s role within GTM?

Marketing has evolved from a lead factory to an account orchestrator.

Earlier in my career, marketing was measured by volume—generate leads, pass them to sales, and move on. Today, that model no longer works, especially in enterprise environments.

Marketing now plays a central role in shaping the full client experience, from first intent signal through expansion and renewal. It interprets buying-group behavior, surfaces readiness, and enables sales to engage at the right moment with the right context.

When done well, this approach increases velocity, shortens sales cycles, and improves lifetime value. More importantly, it creates continuity. Accounts don’t experience marketing, sales, and customer success as separate motions—they experience one connected relationship.

That’s the real shift: not more activity, but more alignment.

When starting an ABM program from zero, what steps matter most?

Strong leadership and a single point of truth are foundational.

A key success factor that I’ve seen when developing an ABM program from zero is the development of a Center of Excellence that provides structure, governance, and consistency—while still empowering regions to execute locally.

The next step is clarity. Organizations need to define what ABM actually means for them: strategic 1:1 engagement, industry plays, opportunity-focused programs, or a blend. Not every model fits every business, and prioritization is critical.

Commitment is also non-negotiable. ABM isn’t a quick fix—it often requires sustained investment over several years. I’ve seen long-term, relevant engagement consistently outperform short-term funnel-filling tactics.

Finally, start with clean data. It remains one of the hardest disciplines to maintain—but it’s what enables real intent, insight, and relevance at scale.

How do you decide between 1:1 and 1:few ABM programs?

I often start with the 80/20 rule: most organizations generate the majority of revenue from a small percentage of accounts.

Those accounts demand Strategic—or 1:1—ABM. This is reserved for high-complexity, high-value relationships where long-term impact matters most. It’s where deep personalization and true partnership make a difference.

1:few ABM is how you scale that discipline. When accounts share similar challenges or buying dynamics, you can adapt programmatic or industry content to serve a defined audience without starting from scratch.

I think of it this way: 1:1 ABM is a spotlight; 1:few ABM is a stage light. The strongest GTM strategies use both—intentionally.

“A key success factor in developing an ABM program from zero is creating a Center of Excellence that provides structure, governance, and consistency—while empowering regions to execute locally.”

How do you balance global ABM frameworks with regional flexibility?

That balance has to be designed from the start.

Our global frameworks provide consistency in process and governance, particularly around onboarding and measurement. What’s never standardized is the account experience.

No two accounts behave the same—and effective ABM requires listening deeply. That’s why I often say ABM leaders must operate as the CMO of their accounts. Context matters, and what resonates in one market may not in another.

The best ABM practitioners aren’t rigid rule-followers—they’re problem solvers. Flexibility is what allows ABM to scale without losing relevance.

What has been your most memorable experience as a marketer?

One experience stands out: my time at MSL London.

After completing graduate studies, I worked on a five-year marketing plan for The West End Company, representing Oxford, Regent, and Bond Streets. That work led to a role on MSL London’s business development team in Kensington.

Soon after joining, I was asked to step into a leadership gap—leading senior meetings, contributing to high-stakes pitches, and learning firsthand what it meant to win and lose major opportunities. I also worked closely with UK government stakeholders and Publicis sister agencies.

What made it memorable wasn’t the accounts—it was the people. Being accepted by some of the most creative and strategic minds I’d worked with gave me confidence that shaped how I approach my work to this day.

Beyond traditional KPIs, how do you measure marketing impact?

Revenue and pipeline matter—but they’re lagging indicators.

In 1:1 ABM, we look at buying-group expansion, executive engagement, multi-threaded relationships, and progression from marketing engagement to sales-led conversations. We also measure account team adoption—whether insights are embedded in account plans and actively used by sales.

Velocity matters too: shorter cycles, larger deal sizes, and stronger executive relationships signal trust, not just activity.

The goal isn’t more motion—it’s more precision.

What capabilities matter most when building high-performing marketing teams?

I value cleverness over sameness.

The strongest teams aren’t built from identical skill sets—they’re built from complementary strengths. When that balance exists, collaboration is natural, ideas circulate freely, and the work improves collectively.

Passion and technical skill matter. But the defining trait of high-performing teams is their ability to collaborate deeply, communicate openly, and adapt in real time.

That’s what I prioritize most—and what I enjoy being part of most.

About Sloan Newman

Sloan Newman is a marketing leader with 20+ years of experience driving growth through Account-Based Marketing, demand generation, and brand strategy across B2B, B2C, nonprofit, and healthcare sectors. At NTT DATA, he leads North American ABM and demand generation programs, expanding the pipeline, creating multi-million-dollar opportunities, and strengthening C-suite relationships. His career spans global event marketing, branding, and business development, earning recognition as an award-winning marketer passionate about strategic, data-driven, and measurable impact.

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