Heap

Name: Heap
Brand: Heap

Heap is a digital insights platform that enables fast-moving digital teams to understand and improve digital experiences

Est 2013|Valuation $960M|Raised $231.1M|56 Ref Customers

LinkedIn 71K|Web traffic 51K|FTEs 353|HQ San Francisco, California, US

MarketsWeb & Product Analytics Web Analytics

01Competitive Landscape

Narrative analysis

- Heap positions autocapture and retroactivity as mechanisms to reduce data gaps compared with manual tracking; this can shorten the time from data collection to analysis for exploratory questions. - Amplitude competes on platform breadth (analytics, experimentation, feature flags) and provides clear entry pricing tiers. - Mixpanel positions itself around curated event schemas and transparent pricing; the trade-off compared with Heap is that Mixpanel often requires more upfront instrumentation discipline. - PostHog competes on transparent, usage-based pricing and an offering that combines analytics with replay, flags, experiments, and surveys, with an open-source option for self-hosting. Adoption and mindshare indicators from third-party platforms should be treated as proxies for engagement on those platforms rather than validated market share metrics.

	Heap	Amplitude	Mixpanel
Starting Price	Free tier with limited monthly sessions and limited retention; paid tiers use custom pricing and estimates	Free tier available; entry paid tiers with transparent entry pricing	Free tier available; paid plans use volume-based pricing
Typical fit	Teams seeking autocapture and retroactive analysis to reduce initial instrumentation effort and enable exploratory analysis	Teams seeking integrated product analytics with experimentation and feature flags; broader platform capabilities	Teams preferring intentionally curated event tracking with transparent usage pricing and fast querying
Key strength	Autocapture and virtual events support defining events after data collection, aiding exploratory analysis	Broad platform that includes analytics, experimentation, and feature flags	Transparent pricing structure and controlled event schema; strong self-serve product analytics
Key weakness	Custom pricing can reduce price transparency; governance overhead to manage captured events; some reports of UI/performance issues	Requires planning for instrumentation and identity; can become complex at scale	Competitors position Heap as producing noisier datasets via capture-everything approaches

01Competitive Landscape

Narrative analysis

Heap positions autocapture and retroactivity as mechanisms to reduce data gaps compared with manual tracking; this can shorten the time from data collection to analysis for exploratory questions.
Amplitude competes on platform breadth (analytics, experimentation, feature flags) and provides clear entry pricing tiers.
Mixpanel positions itself around curated event schemas and transparent pricing; the trade-off compared with Heap is that Mixpanel often requires more upfront instrumentation discipline.
PostHog competes on transparent, usage-based pricing and an offering that combines analytics with replay, flags, experiments, and surveys, with an open-source option for self-hosting.

Adoption and mindshare indicators from third-party platforms should be treated as proxies for engagement on those platforms rather than validated market share metrics.

	Heap	Amplitude	Mixpanel
Starting Price	Free tier with limited monthly sessions and limited retention; paid tiers use custom pricing and estimates	Free tier available; entry paid tiers with transparent entry pricing	Free tier available; paid plans use volume-based pricing
Typical fit	Teams seeking autocapture and retroactive analysis to reduce initial instrumentation effort and enable exploratory analysis	Teams seeking integrated product analytics with experimentation and feature flags; broader platform capabilities	Teams preferring intentionally curated event tracking with transparent usage pricing and fast querying
Key strength	Autocapture and virtual events support defining events after data collection, aiding exploratory analysis	Broad platform that includes analytics, experimentation, and feature flags	Transparent pricing structure and controlled event schema; strong self-serve product analytics
Key weakness	Custom pricing can reduce price transparency; governance overhead to manage captured events; some reports of UI/performance issues	Requires planning for instrumentation and identity; can become complex at scale	Competitors position Heap as producing noisier datasets via capture-everything approaches