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The GTM Data Strategy for the Modern B2B Customer Journey

The GTM Data Strategy for the Modern B2B Customer Journey

min. reading

The traditional B2B growth engine is reaching a breaking point because it remains disconnected from the modern buyer’s journey. While self-guided discovery and AI-driven entry points become the norm, buyer expectations for a seamless, personalized experience have reached an all-time high. When departments operate in silos and fail to pass sufficient context, the experience becomes fragmented, and the growth engine stalls. To overcome these challenges, leaders must adopt a go-to-market (GTM) data strategy that establishes a foundational data layer as the connective tissue between marketing, sales, and customer success.

To get the complete expert insights for approaching an integrated data layer for your organization, download the Trilliad 2026 Growth Imperatives, The Era of Precision Growth in B2B: A GTM Motion Powered by Data

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The Era of Precision Growth in B2B
Trilliad Growth Imperatives, 2026 
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Market Trends Calling for a Shift in GTM Data Strategy

The mandate for a data-powered approach is driven by a widening gap between internal processes and the actual buyer’s experience:

  • 88% of buyers state that the experience a brand provides is as important as the product itself (Salesforce).
  • Yet GTM teams are failing to provide the seamless experience they expect, as 77% of buyers shared that their last purchase was very complex or difficult (Advertising Week).
  • Despite record access to tools, 62% of leaders report that growth is getting harder (Trilliad 2025 Sustainable Growth Study).
  • In an attempt to gain some efficiency, many organizations have deployed AI point solutions, yet 56% of executives have yet to see a true impact on the bottom line (Oxygen Staff).
  • While, 87% of AI project failures point back to poor data quality (RAND).

“Data continues to be the foundation that powers experience, but it has a newfound importance with the era of AI.” 

– Austin Frink, Director, Data Technologies, Sercante

Today’s trends demonstrate that marketing, sales, and customer success do not have access to the data they need to effectively power AI and provide the tailored, smooth experiences that today’s modern buyer expects. There is a lack of buyer context being passed from one department to the next, and data is locked up across a tangled tech stack of disparate systems. 

Today’s Challenges of Establishing a Solid Data Foundation

Creating a data foundation is often hindered by legacy habits and technical complexity:

  • Tech Sprawl: The average large enterprise manages a technology stack of over 600 applications, leading to unparalleled volumes of fragmented data (WalkMe Inc.)
  • Short-term Fixes: Prioritizing quick-fix point solutions over core process alignment is a habit that has led to the tech sprawl that creates disparate silos, preventing a cohesive view of the customer.
  • An Unclear Path Forward: Leaders often feel overwhelmed at the thought of trying to connect all their data. Sorting through questions of: where do we start? Will we ever get to a point where our data will drive the value from AI that we need? Will we ever be able to be fully confident in our data and easily access actionable insights?

As Andrea Tarrell, Founder & CEO of Sercante, shared in the 2026 Growth Imperatives, it’s not about gathering more data or connecting it all at once. It’s about the right data for the right outcome. Understanding the results that can be achieved when an integrated data layer is established across marketing, sales, and customer success is one of the first steps to approaching your foundation. Knowing the impact that’s possible helps you to establish a vision that grounds your data initiatives in measurable business outcomes.

“More data does not make you better at anything. You need the right data, the right activation layer, and a team and process that knows what to do with what they are seeing.”

– Andrea Tarrell, Founder & CEO, Sercante

The Impacts of Integrated Customer Lifecycle Data in B2B

By architecting data as the connective tissue across the customer lifecycle, growth teams can deliver truly personalized experiences at scale and make smarter data-informed decisions that enhance brand engagements, maximize sales growth, and expand customer relationships. Unlocking this data also provides the Chief Revenue Officer and GTM leaders with the visibility needed to optimize the entire revenue cycle and prove the definitive financial impact of every initiative.

Marketing connects brand experiences to demand impact

Marketing shifts from disconnected lead lists to a cohesive target account approach. This ensures consistent, emotionally engaging storytelling that connects early brand interactions across the entire buying group to demand impact, proving measurable account-based ROI. The data not only allows marketing to enhance the level of personalization they deliver to buyers, it positions them as a value-driving engine that impacts the bottom line. Furthermore, when data is connected end-to-end, studies show that organizations are 50% more likely to achieve high revenue growth (Trilliad, 2025).

The data unlocked for marketing is then passed through to sales, creating a beneficial ripple effect for the buyer’s journey and the organization’s performance.

Sales creates a durable sales performance system that drives revenue

The customer lifecycle data gives sales access to insights about the buyer’s interests, potential goals, and what products and pricing they may have already viewed. It allows them to be a strategic guide to the buyer, to lead with meaningful conversations that are relevant to their needs. During these active deal conversations, top-selling behaviors can be reinforced and personalized for sellers with a progressive sales performance system that allows them to apply the skills that progress opportunities forward in the pipeline. All because they finally have access to the data they need to connect top-performing sales behaviors to financial outcomes and fuel AI with the right information to tailor impactful sales development for each seller at scale. Leading to 10% higher win rates and a 15% increase in revenue capacity per seller (Sandler, 2025). 

It’s the GTM data strategy that powers a more effective, data-driven sales organization and fuels a growth-obsessed customer success team that can finally take a proactive approach to account expansion.  

Customer success guides proactive account growth

Customer success transitions from reactive troubleshooting to proactive engagement. By using shared data to identify at-risk accounts and expansion opportunities before they arise, teams can make key enhancements that create lasting loyalty and increase customer lifetime value. 

Imagine a customer success team that anticipates the buyer’s needs before they raise a hand, positioning them as strategic advisors who build sustainable account growth.

“A strong data foundation transforms Customer Success teams from reactive support into a proactive, outcome-driven function, driving real, measurable results for customers and innovating the end-user experience with agentic reporting.”

Behrang Asadi, Director, AI & Analytics, Sercante

A GTM Data Strategy that Drives Sustainable Growth

In today’s market, data must be reimagined as the foundational competitive advantage of the B2B growth engine. Organizations that successfully operationalize their data layer will be able to fuel AI that drives real results, advances GTM, connects initiatives to measurable financial outcomes, and delivers the seamless, individualized experiences the modern buyer expects. Creating deeper customer relationships that result in lasting growth for the business.

If you’d like support with designing your GTM data strategy or building impactful integrations that unlock meaningful data activation and actionable insights, reach out to the Sercante team. They partner with marketing, sales, and customer success leaders daily to help them achieve their goals with their data.

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  • With over a decade of experience in marketing strategy, data analytics, and marketing operations, Lauren is a strong consulting professional who loves partnering with growth leaders to improve both customer satisfaction and brand loyalty to create best-in-class customer experiences.

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