Two years ago, intent data was the secret weapon. Today it is a line item nobody wants to defend at the quarterly business review. Reply rates fell. Meetings booked from "showing intent" trended toward zero. The dashboards still light up. The pipeline they produce does not match what the contract said it would.

This is not a tool problem. It is a category problem. And the teams that figure out what comes next will rebuild their pipeline math from scratch. The teams that keep optimizing intent will keep wondering why nothing converts.

I have a credible vantage point on this. Boomerang lived in the account planning signals space before we pivoted. We watched the category mature, plateau, and break. What we learned from being inside the signals world is what shaped the company we now run.

This post is about what actually happened to intent, what it still does well, and what your team needs to be doing the moment any signal fires.

From the trenches

When we were in the signals space, the standard play that the entire category was running, including us, was this: detect a champion's job change, score the past relationship, hand the contact to a BDR, put them into a sequence.

The conversion rates on that motion were brutal once we actually measured them. Past champions, post-job-change, going into a BDR-led sequence, converted to meeting at around 14 percent. We thought that was the ceiling. It is not the ceiling. It is the ceiling of the activation method.

When we tested replacing the BDR sequence with an executive reach-out, where the original AE's CRO (or our CEO) sent a personal note to the moved champion, the meeting-book rate jumped to roughly 95 percent. That number is not a typo. The buyer was not making a "should I take a meeting" decision. They were making a "do I want to reconnect with someone I already trust" decision, and at executive altitude that answer is almost always yes. The meeting then converts to closed-won at a very high rate over the next 12 months.

This is the discovery that became Boomerang. The signal was always real. The activation layer was the bottleneck. The activation that works at this altitude is relationship-led, not BDR-led.

The honeymoon period was real

When intent data emerged as a category, it solved a problem worth solving. Before Bombora, before 6sense, before the second-party intent vendors, the only way to know an account was in market was to wait for them to fill a form on your site. Intent compressed that gap. Account-level research behavior became visible, at scale, before the buyer raised their hand.

For about three years, this changed pipeline math. SDRs prioritized accounts surging on relevant topics. Reply rates on the high-intent segments were 8 to 12 percent. Conversion to meeting was healthy. The category had a real moment because it was solving a real problem.

Then four things happened, roughly in sequence.

Why intent stopped producing meetings

One. Buyers got smarter. Research behavior became identifiable, and sophisticated buyers started routing their evaluation work through incognito browsers, personal devices, off-domain tabs, and accounts not tied to their corporate identity. The cleanest signal sources got noisier as the buyers your team most wanted to reach learned the game. The signal you see now is increasingly tilted toward people who do not know they are being watched. Those are not the senior buyers driving real decisions.

Two. The signal got commoditized. Every seller in your category is buying intent from the same three vendors. When every team in market reaches out to the same "high-intent" accounts the same week, the buyer experiences it as coordinated spam. Reply rates collapse not because the signal is wrong, but because the playbook is identical across every vendor competing for the buyer's attention. The signal had its moment when only one team in market had it. Now everybody has it, and it functions less like an edge and more like table stakes.

Three. Account-level intent missed the human. This is the structural one. Intent tells you Account X is researching. It does not tell you who at Account X is researching, what they actually want, or who in the buying committee can move the deal forward. The unit of buying is a person. Intent indexes accounts. There is a permanent gap between "the account is showing interest" and "the person who can sign the contract is reachable."

Four. AI flooded the channel that carries the signal. Generative tools let every seller send thousands of personalized cold emails an hour. Volume exploded. Average B2B cold email reply rate fell from 3 to 5 percent in 2020 to below 1 percent in 2026. Senior buyers stopped reading cold inbound entirely. Anything that smells templated gets deleted before the second sentence. The activation method that was supposed to convert intent signals into meetings broke. The signals still fire. The conversion engine they were paired with does not work anymore.

The third and fourth points are the killers. You can fix noise. You can pay more for cleaner signal. You cannot fix the structural disconnect between an account-level signal and a deal that moves on human relationships, especially when the cold channel that carries those signals has been gutted by AI volume.

What intent still does well

Intent is not worthless. It tells you which accounts are warm to your topic. That is a real, useful input. The mistake most teams make is treating it as a sufficient input.

The right way to use intent in 2026 looks like this:

Use it for account selection, not for outreach decisions. The signal tells you which accounts to prioritize. It does not tell you how to reach them.

Pair it with relational intelligence. The moment a signal fires, the actual question is: who at the account do you know, or who in your network knows someone there. If the answer is "nobody," the signal is informational only.

Treat the spike as a "now is the time to ask for an intro" trigger, not as a "send a cold email" trigger. The strongest play when an account starts showing intent is to ask the customer, employee, investor, or advisor with the warmest path to that account for an introduction, before the buyer's attention gets pulled in another direction.

Stop measuring intent as a direct conversion channel. Measure it as an account prioritizer. The metric should be "what percent of our active opportunities were correctly flagged by intent at week minus four," not "how many meetings did intent convert."

If your team is still treating intent as the channel that produces meetings, you are using a category that retired two years ago.

What has to happen after the signal fires

The honest question is: when the signal fires, what do you actually do?

The default answer most teams settled on is "send a personalized cold email or a LinkedIn DM." That is exactly the broken activation layer. The signal said the account is interested. The buyer doesn't know you, you don't know them, and your message lands in a stack of forty other personalized cold notes that arrived this week. The buyer either ignores all of them or replies to one, and statistical chance says it is not yours.

The activation layer that works in 2026 looks completely different. When a signal fires on a priority account, the move is:

First, check whether anyone on your team, in your customer base, on your board, or among your advisors actually knows someone at the account. You will be surprised how often the answer is yes. For a typical 200-person B2B company, the unified network graph contains tens of thousands of relationships, most of which are invisible to the CRM.

Second, if a warm path exists, route through it. A warm intro from someone the buyer trusts has 30 to 50 times the conversion of cold outreach at the executive altitude. The math is not subtle.

Third, if a warm path does not exist, treat the signal as an "account to build relationship coverage into," not as an "account to outbound today." This means tasking your team to look for second-degree connections, mining your customer base for someone who used to work there, asking a board member if they know the CFO.

The teams that do this well are running a fundamentally different motion than what the signal vendors sold them. They are using intent to prioritize, then activating through relationships rather than through cold sequences. The number of opportunities they close per signal is meaningfully higher. The customer acquisition cost ratio is better. The brand cost is lower because they are not blasting cold emails to people who already noted the spam.

The thesis we operate on

Boomerang exists because we lived this transition. We were in the account planning signals category. We watched signal quality erode, we watched activation methods break, we watched buyers tune out cold across every channel. The conclusion that now shapes our product is simple: relationships survive, signals don't.

In 2026, the things buyers respond to are the things they have always responded to. A message from someone they trust. Especially at the senior level. CEOs, CFOs, CMOs, CIOs do not open cold sequences. They open notes forwarded by a peer who can vouch for the sender. Junior buyers might still respond to clever cold work. Senior buyers stopped years ago, and they stopped harder when AI made cold infinitely scalable.

Boomerang is the operational layer that turns this insight into pipeline. We map the warm paths across your team, your customers, your investors and board, and your advisors. We call these four groups your super-connectors, because each one has a different reach and a different cadence and a different ask format that actually lands. When a signal fires (intent, job change, leadership move, almost anything you care about), we surface who in your network can carry an intro to the right person. We draft the ask in the connector's voice, ready to forward. We close the loop when the meeting books, so the connector hears about the outcome and your trust capital compounds rather than depletes.

You do not have to abandon intent to do this. You have to stop expecting intent alone to produce meetings, and start using your relationship graph as the activation layer that intent never had built in.

What to do this quarter

If you are reading this and you are responsible for a pipeline number, three concrete moves change your math in the next 90 days.

Audit how many of your "intent-sourced" meetings in the last six months actually closed. Compare the close rate to your warm-sourced pipeline. If the gap is more than 2x, you have an activation problem, not a targeting problem.

Pull the top 50 high-intent accounts that did not convert. For each one, ask the question: did we have a warm path we could have used, and if so, did we use it? The answer for most teams is "we did not check." That is the gap.

Stop measuring intent as a meeting-producing channel. Start measuring it as an account prioritizer. Then add a relational coverage layer underneath it. The accounts that have both signal and relational coverage are your highest-probability deals. The accounts that have signal but no relational coverage are your "build paths into" list. The accounts that have neither are not your accounts this quarter.

If you want to see what warm-path coverage looks like for your active pipeline today, we run a 15-minute walkthrough that produces a real map across your team, customer, investor, and advisor networks. No CRM cleanup required. Book it here.

For more on how the warm activation layer fits with your existing intent stack, see our piece on buying group intelligence. For the deeper architecture of how relationship graphs replace org charts as the operating system for B2B sales, read our path to power pillar.

The category called intent data is not going away. It still has uses. But if your team's pipeline math depends on intent as a meeting-producing channel, you are running on assumptions from 2022 in a market that moved in 2024. The next move is to make your relationship graph as discoverable, accessible, and operational as your intent feed. The buyers you want to reach are still reachable. They are just not reachable through the channels you have been using.

Shankar Ganapathy is the co-founder of Boomerang, the operational layer for relationship-led pipeline. Before founding Boomerang, he led product in the account planning signals space.