The Lab is live. 15 essays from the frontier of AI-native GTM.

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System/Integrations/Integration

Heap

Analytics

Heap auto-captures every click and session across a product without any manual tagging by a team. Revenue Labs reads that record and turns it into account-level signal, and what a user did in the product joins everything else already on file for the account.

From source record to operating state

01 | The tool on its own

Clicks, sessions, and events recorded automatically.

02 | With AI bolted on

Illuminate surfaces key behaviour.

03 | A system that learns

Product behaviour becomes account state.

The tool alone > AI bolted on > AI-native

What changes when Heap feeds a system that learns

Three jobs Heap already does, and what each becomes when its evidence joins live company, contact and deal state.

01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Autocaptured product events
Clicks, sessions, and events recorded automatically.
Heap autocaptures interactions and organises them as accounts, users, sessions, page views, and events. Product analysts still decide what matters commercially.
Illuminate surfaces key behaviour.
Illuminate finds patterns inside Heap's behavioural data. The finding does not attach the signal to a company or deal outside the analytics view.
Product behaviour becomes account state.
Event and session evidence joins account history, giving calls, tickets, and stages one product signal.
Session recordings
A session can be replayed around the moment of friction.
Session replay shows clicks, inputs, errors, and the path a user took. A product manager still watches the relevant session and decides what it means.
Sense summarises analytics questions.
Heap answers help explore Heap data, but Heap does not tell the account owner what changed or connect the replay to a deal outcome.
Session evidence reaches the deal.
Repeated errors or abandoned paths join the account context, where every capability can read the product signal.
Funnels and conversion paths
Funnels show where users drop or convert.
Heap funnels show conversion paths and can link a drop-off to a replay. Product teams still compare that behaviour with the commercial outcome.
Illuminate suggests important events.
Heap suggestions remain a Heap insight. They do not test the event against renewal, expansion, or loss outcomes.
Path signals follow outcomes.
Closed outcomes show which product paths preceded them. Future account reviews use the patterns the system learned.
Runs on it

Capabilities that act on connected evidence

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Connect your stack to a system that learns.