Direct answer
Every time a prospect opens your deck, books a meeting, or asks a question on a call, a data point is generated — a signal about their intent, concerns, and decision-making process. The companies winning in 2026 capture all of it. Most startups capture almost none.
Every time a prospect opens your deck, books a meeting, or asks a question on a call, a data point is generated — a signal about their intent, concerns, and decision-making process. The companies winning in 2026 capture all of it. Most startups capture almost none.
GTM data is not what you put into your CRM. It is what your revenue motion generates automatically — if you have a system built to capture it.
The three types of GTM data — and why most companies only capture one
1. Behavioural data — what prospects actually do
Behavioural data is the richest and least captured type of GTM data. How long someone spends on your pricing slide. Whether they return to your deck at 11pm two days after receiving it. Whether they forwarded it to a colleague within 30 minutes of opening it. This data exists in abundance — but only if you have a system designed to capture it at the interaction level, not just the event level.
2. Conversational data — what prospects say
Every sales call is a data source — but most companies treat it as a one-time event. The questions a prospect asks in meeting 2 are directly related to the slides they lingered on in the deck they received the week before. The objection they raise in meeting 3 was previewed by the pattern of their engagement. Conversational data, when connected to behavioural data, becomes predictive.
3. Outcome data — what actually closed deals
This is the data most companies have the most of and do the least with. Win/loss is captured as a binary field in a CRM. But the reality is far richer: which content was consumed before the close, which concerns were resolved and how, how many touchpoints it took, what the prospect said in their last call before signing. Outcome data, when connected to the full deal timeline, is the training data for your GTM intelligence system.
GTM data capture rate — what companies actually collect
| Data type | Capture rate | Notes |
|---|---|---|
| Behavioural data | 12% | Slide views, forwards, return visits — mostly uncaptured |
| Conversational data | 28% | Call recordings exist but rarely structured or linked |
| Outcome data | 55% | Captured but unstructured — win/loss in a CRM field |
| Connected data | 4% | Almost no one connects all three types into intelligence |
Most companies capture fragments. Almost none connect the fragments into intelligence.
The GTM data signals available in a connected system
- Deck engagement — time per slide, return visits, forwards, version performance
- Meeting signals — booking speed, duration, stakeholder count
- Call intelligence — sentiment, objection frequency, buying signals
- Deal patterns — velocity, close indicators, skip patterns
- Viewing behaviour — time of day, device, scroll depth
GTM data is abundant. The constraint is not access — it is architecture. Building the system that captures it, connects it, and turns it into actionable intelligence is the work. And that work pays compound dividends for as long as you're running deals.