Heap alternatives, sorted by why you are leaving
Heap’s promise was the end of the tracking plan: capture everything, decide later. The promise holds; teams leave because of what comes after it. Deciding later still means deciding, renaming raw clicks into meaning by hand. And once the questions turn to revenue and lifecycle, a pile of captured clicks does not answer them on its own.
Why teams leave Heap
- Decide-later becomes a backlog
- Autocaptured events still need naming and curation before reports mean anything. The tracking plan did not disappear; it moved after the fact and lost its deadline.
- Revenue still needs definitions
- Who became a customer and what they are worth across months needs purchases and revenue defined on the person. Capturing more clicks does not add them.
- Post-acquisition enterprise pricing
- Inside Contentsquare, pricing and packaging moved enterprise-ward, and self-serve teams find themselves in sales cycles they did not choose.
The alternatives
Each row says when that tool, ours included, is the right landing. Where a full head-to-head exists, the name links to it.
Kissmetrics
Person-level analytics · Free, then $99/mo
You want a short list of named events instead of a pile of clicks: the basics are captured on install, the AI install helps define the rest, and everything resolves to a person with revenue attached.
Product Analytics (Open Source) · Free (1M events/mo)
You want autocapture in an engineering-owned stack with replay and flags beside it.
Product Analytics · Free (up to 1M events/month)
You are ready to go back to a deliberate taxonomy for cleaner, faster product reporting.
Digital Experience Intelligence · Custom pricing
What you valued was seeing behavior; go deeper on replay instead of broader on analytics.
Web Analytics · Free
Free traffic reporting is enough and the analytics budget is going elsewhere.
| Alternative | Category | Starting price | The right landing when |
|---|---|---|---|
| Kissmetrics | Person-level analytics | Free, then $99/mo | You want a short list of named events instead of a pile of clicks: the basics are captured on install, the AI install helps define the rest, and everything resolves to a person with revenue attached. |
| PostHog | Product Analytics (Open Source) | Free (1M events/mo) | You want autocapture in an engineering-owned stack with replay and flags beside it. |
| Mixpanel | Product Analytics | Free (up to 1M events/month) | You are ready to go back to a deliberate taxonomy for cleaner, faster product reporting. |
| FullStory | Digital Experience Intelligence | Custom pricing | What you valued was seeing behavior; go deeper on replay instead of broader on analytics. |
| Google Analytics 4 | Web Analytics | Free | Free traffic reporting is enough and the analytics budget is going elsewhere. |
When to stay on Heap
Stay if retroactive capture is actively saving you: sites that change weekly, teams that cannot instrument, questions that keep pointing at last month’s untagged click. That is the workload Heap is built for, and the alternatives that keep autocapture bring their own trade-offs.
Test the landing before you commit to it
100,000 events a month free, no card: Funnels, Activity, Live view, the chat, metrics, dashboards and the API. Growth adds the campaign report (Performance), visitors from AI assistants, Populations and the other reports. Keep Heap running while you compare.
Questions
- Does Kissmetrics have autocapture like Heap?
- Partly. Kissmetrics captures four base events on install: visited site, page view, search engine hit and ad campaign hit. Everything else, like signups and purchases, is defined, with the AI install and schema examples to help. So there is no backlog of raw clicks to name later, and no retroactive analysis of clicks you never defined.
- Heap vs Kissmetrics, in one sentence?
- Heap is retroactive autocapture of every click; Kissmetrics is a short list of defined events resolved to people with revenue attached. The full head-to-head is at Kissmetrics vs Heap.
Comparing two specific tools instead? Every head-to-head or the category surveys.
Try it on your own data for free.
Free to start, no card. Install with AI in about 5 minutes.