6sense has become a cornerstone of the modern ABM stack. Its AI-driven intent signals help Demand Gen and RevOps teams identify accounts actively researching their category, and that’s a real advantage.
But the moment a signal fires, a new set of questions opens up. Knowing an account is “interested” is the first answer. What happens next (whether to prioritize it, how to message it, who to reach, and when), depends on what you layer on top.
Here are five questions worth asking the moment an intent signal lands, and the data that helps you answer them.
#1: Does this account have a verified budget in our category?
Intent signals show you who’s researching. They don’t show you who can actually buy.
A researcher at an underfunded startup generates the same keyword activity as a VP of Engineering at a well-funded enterprise. Before your team activates on an account, it’s worth confirming: How much is this account allocating in your category, and is that investment growing or shrinking?
Verified spend data gives you that signal, and helps you prioritize intent. When your 6sense dashboard surfaces 200 in-market accounts, spend data is what helps your team decide which 40 are worth the full account-based push.
The practical angle: Our data shows that 40% of accounts flagged as “in-market” by intent platforms have zero verified spend in the relevant technology category. You can think of spend data as helping you right-size your investment rather than shrinking your market.
#2: Which technologies are companies actually running?
Intent signals can surface that an account is researching your category. Knowing what they’re running tells you why, and how to position when you get in front of them.
Technology compatibility needs to match before any real conversation happens. And install base data reveals competitive presence — which shows displacement opportunity, expansion potential, or integration relevance before your rep picks up the phone or sends an email.
The practical angle: HG Insights tracks verified technology installs across 25,000+ products globally, verified through proprietary methodology rather than inferred from web activity. Paired with your 6sense signals, this tells you not just that an account is active, but what they’re working with when they are.
#3: When does the competitive contract expire, and does timing match the signal?
An account running a competitor’s product and showing intent activity is a high-value target. But timing determines the conversation.
An account that just renewed a three-year contract is a different conversation than one whose contract expires in 60 days. Intent signals won’t tell you which is which.
The practical angle: Contract renewal intelligence helps you act on intent at the right moment, not just the moment the signal fires. When reps know a window is opening, they can engage with context and urgency. Without it, they’re cold calling into a situation they don’t understand.
#4: Can you explain the targeting rationale to your CFO?
ABM spend is under more scrutiny than ever. “Our AI platform scored them highly” likely won’t survive a finance review.
When account selection is grounded in verified installs, sourced spend data, and documented contract signals alongside intent, you can show your work: This account runs these products, spends this much in this category, and has a decision window opening in this timeframe.
The practical angle: That’s a targeting rationale that holds up for your RevOps team in a QBR. And, for your data team, it’s intelligence that can be operationalized directly in Snowflake, BigQuery, or Databricks, not just surfaced in a dashboard.
#5: Do you know who to call, and can you find them without switching tools?
Identifying the right account is half the job. Knowing which person to engage with, and getting to them without a four-step detour through your tech stack, is the other half.
Most intent platforms surface an account, assign it a buying stage, and hand it to a rep. From there, the rep navigates to a separate contact database, manually searches for the right persona, hopes the email address is current, and copies everything into their CRM or sequencing tool. That adds friction between signal and action.
HG Insights Contact Intelligence, embedded within Sales Copilot, closes that gap. Rather than a generic contact lookup, it recommends the right contacts for a specific account in the context of a specific revenue play — whether that’s competitive displacement, new logo pursuit, or expansion. Recommendations are contextual to the account strategy, not just job title matches.
Beyond recommendation, Contact Intelligence enriches those contacts with verified email and phone data using real-time validation, so the record your rep acts on is current. And contacts can be added directly to Salesforce, Gong, Outreach, Salesloft, or HubSpot without switching tools.
The practical angle: Traditional contact databases tell you who works at a company. HG Insights Contact Intelligence tells you who to talk to, why, and makes them reachable before the window closes.
The Bottom Line
Intent data from providers like 6sense is a strong first signal in ABM. It answers who’s researching right now.
The question is, what do you do next? The teams with the tightest ABM pipeline are pairing intent with verified ground truth: technographic data, confirmed budget, contract timing, and contact intelligence. That combination tells you not just who’s active, but who’s winnable, when, and how to reach them.
Intent and verified data aren’t competing signals. They’re sequential. The first tells you who to watch. The second tells you how to win.
Want to see what this looks like in practice?
