Neotask unlocks Heap's retroactive event data through conversation - Neotask queries your full user history without pre-instrumentation.
Query any user interaction retroactively - no upfront event tracking required
Surface conversion funnels and drop-off points across automatically captured events
Analyse user segments and behavioural cohorts using plain-language descriptions
What You Can Do
Retroactive Event Queries
Since Heap captures all interactions automatically, ask about clicks, form submissions, or page views that happened before you defined a formal event. Neotask can query the raw event stream retroactively.
Funnel Construction & Analysis
Describe a funnel in natural language - "from landing page visit to account creation to first purchase" - and Neotask will assemble and run it against your Heap data.
Segment & Cohort Exploration
Define user segments by behaviour ("users who clicked the pricing CTA but didn't convert") and ask for their counts, properties, or downstream actions.
Session & User Replay Linking
Find users or sessions that match specific behavioural criteria and get links to their Heap session replays for qualitative follow-up.
Data Definition Auditing
List your defined events and virtual events, check for duplicates or gaps, and understand what auto-captured interactions could be promoted to named events.
Try Asking
"How many users clicked the 'Start Free Trial' button in the last 30 days?"
"Build a funnel from homepage visit to checkout completion for last quarter."
"What percentage of users who saw the pricing page upgraded within 7 days?"
"Show me users who rage-clicked any element on the signup form."
"Which defined events have the highest drop-off in our onboarding funnel?"
"Find users who visited /enterprise but never contacted sales."
"What virtual events do we have defined in our Heap workspace?"
"Compare mobile vs. desktop conversion rates for the last 60 days."
Pro Tips
Heap's retroactive capture is most powerful when you ask about historical behaviour you never explicitly tracked - try querying old UI interactions from before your instrumentation was complete.
Ask Neotask to suggest which auto-captured clicks are worth promoting to named events based on their volume and funnel relevance.
Use segment descriptions rather than IDs - "users on the Pro plan who haven't logged in this month" works without needing a pre-built segment.
Combine Heap retroactive data with Segment's trait data for identity-enriched behavioural queries in a single conversation.
Ask for funnel comparisons across time periods to detect whether product changes improved or hurt conversion.
Multiple workspaces and capacity for larger teams.
Works Well With
Google Business Profile - Connect Google Business Profile and Heap to unify local SEO data with user behavior analytics. Automate insights for sma...
JFrog - Connect Heap analytics with JFrog to trace how every artifact release shapes user behavior. Detect drop-offs, scan vulne...
Notion - Connect Heap analytics with Notion using Neotask. Sync user behavior data, funnel insights, and product metrics directly...
Sentry - Connect Heap and Sentry to correlate user behavior with error data. Automate analytics and error tracking workflows with...
Trello - Connect Heap analytics with Trello to turn user behavior insights into actionable project cards. Automate workflows and ...
More Analytics Integrations
Orion by Gravity - Orion by Gravity connects your business metrics and workflows so questions about performance don't require rebuilding an analysis from…
Grafana - Neotask turns Grafana into a conversational observability command center - query dashboards, investigate incidents, and manage on-call across 60+ datasources.
Interzoid MCP Server - Duplicate customer records, addresses spelled three different ways, names with inconsistent casing — every data team eventually inherits a…
Qdrant - Neotask adds vector memory to your automation stack via Qdrant - storing knowledge and retrieving semantically similar content so your agents learn and recall like humans.
Omni Analytics - Getting an answer from your company's data usually means either writing SQL or hunting through a dashboard someone else built.
Enterpret - Enterpret builds a knowledge graph out of everything customers say — support tickets, sales calls, app reviews, NPS responses, Slack…