Better sales intelligence means better decisions, better prioritization, and better win rates. Here’s the gap most teams are sitting on.
Most sales organizations aren’t losing deals because their reps can’t sell. They’re losing them because the sales intelligence feeding their decisions is incomplete, misaligned, and pointed at the wrong signals. The accounts most worth pursuing right now? Often completely invisible to your current stack.
The Showpad sales team wasn’t underperforming because of a skill or effort problem. They were spending too much time on the wrong accounts — because without reliable signals, that’s what triage looks like on a massive account list. After implementing 6sense, their close rates increased by 289%. Same team. Better information.
That’s the gap. Not a talent gap. An information gap. And it’s showing up in at least three places where most sales orgs are quietly bleeding.
Your scoring model is answering the wrong question
Most lead scoring systems measure engagement with your marketing — not readiness to buy. That’s a critical distinction.
Consider what a traditional model sees: a contact who downloaded a whitepaper last quarter scores well. Meanwhile, an account with 10+ people actively researching your category — visiting competitor sites, consuming third-party review content, debating requirements internally — scores nothing, because none of that activity touched your owned channels. That research is real. That buying group is real. Your scoring model just can’t see it.
The scale of what’s invisible makes it worse. According to the 2025 6sense Buyer Experience Report, the average B2B buying cycle runs about a year, and buyers are already 60% through their journey before they ever reach out to a vendor. The shortlist gets built — and the frontrunner often gets decided — entirely during the anonymous phase, with 85% of buyers already having a top choice by day one of vendor conversations.
So where does the form-fill fit into all of this? It depends, and none of the options are great:
- Too early: The contact is looking for information but has no intention of talking to a sales rep. They fill out a form to get a resource, not to start a conversation.
- Way too early: They’re satisfying curiosity — not even close to a real buying journey. The timing is so off that following up often does more harm than good.
- Way too late: A shortlist has already formed. Your competitors have a head start, relationships are in motion, and you’re trying to earn a spot at a table that’s nearly full.
A form-fill, at best, tells you someone exists. It rarely tells you anything useful about where they actually are.
That’s the gap good sales intelligence is designed to close — and it works in two distinct ways:
- Early in the buying journey, it helps sellers identify accounts that are a strong ICP fit and showing signs of active research, so they can start influencing buying group members during the selection phase and work alongside marketing to maximize reach and engagement across the full group.
- Later, as accounts approach a decision, it surfaces the ones most ready to close so reps know exactly where to concentrate their effort — not based on who filled out a form, but on who’s moving toward a purchase.
One signal isn’t a story. A pattern is.
Ask many sales leaders how their team uses signal alerts, and you’ll often hear some version of the same frustration: they don’t, really. Not in the way the tool was designed.
It usually starts with good intentions. Alerts go live, reps get notified, and for a while there’s genuine enthusiasm. Then the false positives accumulate. An alert fires on an account that goes nowhere. Then another. Reps start applying their own filter — gut feel — to decide which alerts are worth acting on. Before long, the alerts themselves are just noise, and the team is back to prospecting the way they always did, just with an extra notification to clutter their inbox.
The problem isn’t that signal alerts are a bad idea. It’s that most of them are built on a single action from a single contact. One pricing page visit is technically a signal. But it doesn’t tell you whether anyone else at that account is paying attention, how long they’ve been in research mode, or whether a real buying conversation is actually underway internally.
When multiple members of a buying group start researching — especially over a sustained period or in a concentrated burst — that’s a fundamentally different kind of signal. It means the account isn’t just curious. Someone internally has started a conversation, requirements are being debated, and the evaluation process is likely already in motion. That’s not one person clicking around. That’s an organization moving.
That distinction matters because of what it justifies on the rep’s end. Multi-threading — reaching out to individual buying group members with persona-tailored messaging — is one of the highest-value plays in B2B sales. It’s also time-intensive, even with AI-assisted tools. Reps can’t afford to run that play on every account that generates a spark of activity.
Strong buying group signals are what tell them it’s worth the investment. When the pattern is there — multiple stakeholders, meaningful research depth, real momentum — a rep can commit to multi-threaded outreach with confidence that the account is actually in motion. Without that signal, it’s a gamble. With it, it’s a calculated bet on an account that’s already partway through a buying journey.
Stop making reps do a data scavenger hunt before every outreach
An alert fires on a hot account. The rep knows they should act. So they open a new tab, hunt for contacts, cross-reference LinkedIn, find stale records in the CRM, and spend the next 45 minutes piecing together enough context to feel confident reaching out. Most sales orgs have accepted this as just the way things work. They shouldn’t.
According to HubSpot’s 2024 Sales Trends and Strategies Report, sellers who used AI to assist with research were saving two hours a day that had previously gone to manual prospect research. That’s a meaningful number. But HubSpot’s 2025 State of Sales Report adds an important wrinkle: nearly all sellers are now using AI in some form — but only 30% are using it as part of a revenue intelligence platform, and only 19% are using the AI tools built into their CRM.
For most reps, AI hasn’t replaced the scavenger hunt. It’s just become a faster way to conduct it.
AI sped up the wrong motion. The goal should be to make the research largely unnecessary — because the right contact data, intent signals, and account context are already waiting for them when an account goes hot.
For RevOps leaders, the scavenger hunt isn’t just a productivity problem — it’s a multi-symptom one.
- Data credits get burned on cold accounts that have no intention of buying.
- Contact data goes stale between refresh cycles, leading to bounced emails and bad first impressions.
- Reps — rightfully — stop trusting data that was manually entered, inconsistently maintained, and perpetually out of date.
The fix is pairing activity-triggered enrichment with strong buying signals so that data acquisition follows intent rather than always running on a fixed schedule. When an account starts showing meaningful research activity, that’s when contact records get enriched and updated — not on a blanket refresh cycle that burns budget on accounts that are nowhere near a buying decision. Organizations can layer in periodic hygiene runs on top of that, but triggered enrichment ensures the data that matters most is always current when it’s needed most.
A rep who moves quickly with accurate data and real buying context isn’t just faster than one doing a scavenger hunt — they’re fundamentally better. Armed with intent signals and account research activity, they know what the account is thinking about. Paired with generative AI tools, they can turn that intelligence into highly personalized outreach in minutes, stress-test their conversation angles, and sharpen their approach before they reach out.
The information gap is a choice now
The three problems in this piece are different on the surface — a scoring model that can’t see anonymous research, signal alerts that cry wolf until nobody listens, a rep burning 45 minutes on a data hunt before every outreach. But they’re all versions of the same underlying issue: decisions being made without the context to make them well.
That’s what good sales intelligence actually delivers. Not just data — context.
- Who’s researching?
- How many of them
- For how long
- What they’re focused on
- Which accounts are worth a multi-threaded approach and which ones aren’t ready for that investment?
When the contact information is accurate and waiting, reps can move from signal to conversation without the friction in between. That’s a solvable problem. And it’s worth solving.
