Article
Intent Data Should Work Harder
Remember – a good lead at a bad company is ultimately a bad lead.
Everyone benefits from having a list of all the people and companies that have been actively searching for your product or service this week, right? That’s been the promise of Intent data. GTM teams rely on that Intent signal and often waste even more of their valuable time and resources chasing down what amounts to bad leads. Clearly, intent models don’t work very well – they should’ve just trusted their gut, right?
Wrong. They should’ve trusted the data. As in, all the data. Not just intent. Relying on intent data alone is the error that pushes some many sales and marketing teams away from it. You need to remember, intent alone doesn’t paint the full picture necessary to target deals in the B2B world. In fact, intent data can even point us in the wrong direction and encourage our sales people to confidently jump into a rabbit hole that goes nowhere fast. Let’s explore how to use intent data effectively and avoid diving head-first into a pit of bad leads.
The cost of getting it wrong.
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Why intent data fails without buyer context
You see intent data everywhere in B2B growth plans. Vendors promise earlier visibility, better timing, and sharper targeting. The pitch sounds simple. Find in-market accounts, build custom audiences, and push outreach faster.
That logic breaks when you treat intent as a shortcut. Intent works best as signal input, not shortcut. If you ignore buyer context, third-party data points to activity without telling you who matters, why interest is rising, or how your team should respond.
That gap matters more now. According to Forrester, 73% of purchases involve three or more departments, with an average of 13 internal stakeholders. Intent at the account level tells you something is happening. It does not tell you which people shape the decision.
For revenue teams, that is the core problem. You do not need more signals alone. You need buyer context that turns third-party data into coordinated buying team activation.
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From ICP to execution: operationalizing your TAM in-market
You already know your ICP. That does not mean your team is ready to work the market. The gap sits between strategy and execution. Your TAM looks clear in a planning deck, then breaks inside territories, routing rules, sequences, and account prioritization.
If you want cleaner territory management, you need stronger market inputs. That starts with technographics and third-party data. Together, they help you move from a static TAM list to an active in-market model your team can run every day.
This matters more now because buying decisions span more people and more functions. Forrester reports that 73% of purchases involve three or more departments. If your TAM logic still works at the lead level, your coverage plan will miss how accounts buy.
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Identity resolution explained: the foundation of trustworthy GTM data
Your revenue systems depend on one thing before anything else works. They need a clean, connected view of buyers, accounts, and buying groups. Without that foundation, scoring breaks, routing slips, reporting drifts, and execution slows.
That is why identity resolution sits at the center of modern Master Data Management (MDM) and Data Management Software. If you want trustworthy GTM data, you need a way to match, merge, and maintain records across every system your team touches.
For RevOps, marketing operations, and sales operations leaders, this is no longer a back-office data project. It is an operating requirement for pipeline accuracy, buying group engagement, and signal-driven execution.
