Reading buying intent signals
Buyers leak intent long before they fill in a form - in the pages they read, the tools they swap, the posts they engage, the roles they hire for. Reading those signals, at the right resolution and before they decay, is the difference between a timely conversation and a cold pitch.
What intent signals are
tl;drA buying intent signal is any observable trace a company or person leaves while researching a purchase - before they raise their hand. On their own, signals are noisy. Their value comes from three things: the resolution you read them at, the type of behaviour, and how fresh they are. Get those right and a signal points to a real conversation; get them wrong and it is just noise in a dashboard.
Account vs contact level
interactiveThe same buying moment can be read at two resolutions. Account-level identifies the company; contact-level resolves to the person and the behaviour driving the evaluation. Flip the switch to see the same scenario at each resolution.
A company is in-market
"Northwind Trading is researching pipeline tooling."
Aggregated behaviour across the org crosses a topic baseline. You know the company is looking - but not who, not why, and not how far along.
- Which of ~400 employees do you contact?
- What triggered the research?
- Are they evaluating now or scoping for next year?
Account-level always needs a second step - which person? - before anyone can be reached. Contact-level removes that step. The signal is the same; the resolution decides whether you act in minutes or days.
Signal taxonomy
exploreIntent comes from many behaviours, not one feed. Pick a family to see what it tells you, an example, and how fast it decays. Open it in the simulator below to feel the decay curve.
Competitor & pricing-page visits
Contact-levelWhat it tells you. Active comparison is the strongest late-stage buying signal there is.
A prospect views your pricing page twice in a day.
Signal decay
interactiveEvery signal loses value over time, and they decay at very different rates. A pricing-page visit is half as relevant within hours; a funding round stays warm for weeks. Pick a signal and drag time forward to watch its freshness fall.
The signal is fresh. This is the window where outreach converts.
The intent-to-execution gap
flowWhen detection, research, and outreach live in separate tools, every hand-off adds latency - and freshness decays the whole way down. This is the gap that turns a hot signal into a cold pitch.
Signal detected Intent toolminute 0
A buying signal fires in a standalone intent platform.
Export to CRM CRM+ hours
The signal is synced into the system of record on the next batch.
A rep reviews it Rep+ a day
The signal waits in a queue until someone works the list.
Research in a second tool Data tool+ hours
The rep switches tools to find the right person and context.
Outreach composed Engagement+ a day
A message is finally written and sent - in a third tool.
A signal that was actionable within hours is often worked days later. Closing this gap - fewer tools, fewer hand-offs - recovers more value than buying a richer signal source.
Putting it to work
takeawaysFour principles that fall out of resolution, taxonomy, and decay.
Resolve to a person
Account-level tells you the building is on fire; contact-level tells you which window. Push every signal to the individual and the behaviour behind it.
Treat freshness as the asset
A pricing-page visit is most valuable within hours. Score signals by recency, not just type, and route the freshest first.
Collapse detection to action
Every hand-off between tools burns freshness. The fewer steps between a signal and a sent message, the more the signal is worth.
Define your own triggers
The strongest signals are often specific to your motion. Encode them as custom triggers off your own data, not just off-the-shelf topics.