Who is Heap best for?

Heap is built for Product managers optimizing activation, adoption, and retention, Growth and marketing teams improving conversion funnels, Data teams building warehouse-native behavioral analytics pipelines, UX/design teams diagnosing friction via session replay and heatmaps. Common use cases include Funnel optimization and conversion rate improvement; Feature adoption tracking and product engagement analysis; User retention and churn reduction analysis.

Heap offers four tiers. Free: up to 10,000 monthly sessions, 6 months data history, core analytics charts, SSO — no cost. Growth: custom session-based pricing (third-party data suggests starting around $3,600/year for ~300k sessions annually); includes unlimited users and reports, AI copilot (Sense), and 12 months data history. Pro: custom pricing (third-party buyer data indicates approximately $100,000/year for 5M sessions); adds account analytics, engagement matrix, report alerts, and session replay as an add-on. Premier: custom pricing (approximately $187,500/year for 15M sessions per third-party data); includes data warehouse integration (Heap Connect), behavioral targeting, unlimited projects, advanced permissions, dedicated CSM, and region-specific storage. Session Replay, Heatmaps, and Error Analysis are add-ons on Pro/Premier. Pricing is not publicly listed and requires a sales conversation for paid tiers.

What are the alternatives to Heap?

Common Developer Analytics & Product Analytics alternatives to Heap include Amplitude, PostHog, Mixpanel, RudderStack, Pendo. See the full comparison hub at /verticals/developer-analytics-product-analytics/compare.

What do users praise about Heap?

Users frequently praise: Autocapture eliminates manual event tagging; Retroactive analysis without losing historical data; Non-technical users can self-serve analytics; Data warehouse integration (Snowflake, Redshift, BigQuery); One-click session replay linked directly to funnel drop-offs; Intuitive UI and low learning curve for basic use; Reduces engineering time on instrumentation; Heap Illuminate surfaces unknown friction automatically.

What are common complaints about Heap?

Frequently cited limitations: Opaque and escalating session-based pricing; Session Replay is an add-on, not included in Pro/Premier base price; Autocapture creates noisy event data requiring governance discipline; Complex mobile (iOS/Android) tagging setup; Post-acquisition support quality decline reported by some users; 10k session free tier is restrictive for growing products; Limited retroactive data history on lower tiers; Not suited for B2B teams needing CRM or intent-signal data.

When was Heap founded and where?

Heap was founded in 2013, headquartered in San Francisco, CA, USA by Matin Movassate, Ravi Parikh.

Heap reports 200-350 employees, 10,000+ customers.

AI visibility report

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Outside the top three on 18 of the 25 prompts buyers actually ask.

Amplitude is cited on 16 of those losses.

25 prompts

6 platforms

Updated Sep 27, 2026 - refreshed weekly

Track Heap daily

14-day free trial. No card required. Setup comes pre-filled for Heap.

Track Heap across these prompts daily.

Start your 14-day trial

6percent

Presence Rate

Low presence

#4 among 11 vendors · still absent from 94% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

#4of 11

Peer Ranking

#1#11

Above averagein Developer Analytics & Product Analytics

Key Metrics

Presence Rate

6.0%

Share of Voice

5.3%

Avg Position

#3.3

Docs Presence

0.7%

Blog Presence

1.3%

Brand Mentions

0.0%

Platform Breakdown

ChatGPT

24%6/25 prompts

Google AI Mode

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Heap (now part of Contentsquare) is a product and digital experience analytics platform founded in 2013 in San Francisco and acquired by Contentsquare in December 2023. Its core differentiator is automatic, retroactive event capture: a single code snippet records every user interaction — clicks, pageviews, form fills, and taps — across web and mobile without requiring pre-planned event instrumentation. This allows teams to define and analyze events retroactively. The platform combines quantitative analytics (funnels, journeys, retention, cohorts, dashboards) with qualitative tools (session replay, heatmaps) and an AI layer — Heap Illuminate for proactive friction detection and Sense AI for natural-language querying. Heap serves over 10,000 companies across SaaS, ecommerce, financial services, and healthcare, competing primarily with Amplitude, Mixpanel, FullStory, and Pendo.

AI visibility report

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Outside the top three on 18 of the 25 prompts buyers actually ask.

Amplitude is cited on 16 of those losses.

25 prompts

6 platforms

Updated Sep 27, 2026 - refreshed weekly

Track Heap daily

14-day free trial. No card required. Setup comes pre-filled for Heap.

Track Heap across these prompts daily.

Start your 14-day trial

6percent

Presence Rate

Low presence

#4 among 11 vendors · still absent from 94% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

#4of 11

Peer Ranking

#1#11

Above averagein Developer Analytics & Product Analytics

Key Metrics

Presence Rate

6.0%

Share of Voice

5.3%

Avg Position

#3.3

Docs Presence

0.7%

Blog Presence

1.3%

Brand Mentions

0.0%

Platform Breakdown

ChatGPT

24%6/25 prompts

Google AI Mode

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

4.3/5G2·1098+4.4/5Gartner Peer Insights·23+

Praised

Autocapture eliminates manual event tagging
Retroactive analysis without losing historical data
Non-technical users can self-serve analytics
Data warehouse integration (Snowflake, Redshift, BigQuery)
One-click session replay linked directly to funnel drop-offs
Intuitive UI and low learning curve for basic use
Reduces engineering time on instrumentation
Heap Illuminate surfaces unknown friction automatically

Criticized

Heap earns a 4.3/5 on G2 (1,098 reviews) and 4.4/5 on Gartner Peer Insights (23 reviews). Users consistently praise autocapture for eliminating manual tagging and enabling non-technical team members to conduct independent analysis, freeing engineering resources. Session replay integration and data warehouse connectivity are also highlighted as high-value differentiators. Criticism centers on opaque and escalating pricing as session volumes grow, the learning curve for organizing large event taxonomies, and session replay being gated as a paid add-on. A subset of post-acquisition reviewers in community forums report perceived declines in product stability and support responsiveness.

Prompt	Google AI Mode	Gemini Search	Bing Copilot	ChatGPT	Perplexity	Grok
Capability1/5 cited (20%)
Which product analytics platforms handle identity resolution best when the same user visits anonymously before logging in?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited	A competitor was cited	Neither your brand nor a competitor was cited

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos
1	Amplitude	34.7%	35.5%	18.7%	4.7%	66.0%	#3.5
2	PostHog	22.7%	23.7%	12.7%	3.3%	52.7%	#4.0
3	Mixpanel	16.0%	20.4%	6.7%	8.0%	58.7%	#3.6
4	Heap	6.0%	5.3%	0.7%	1.3%	0.0%	#3.3
5	RudderStack	5.3%	4.5%	2.0%	0.7%	14.7%	#2.1
6	Segment	4.0%	2.4%	3.3%	0.0%	0.0%	#2.2
7	Pendo	4.0%	4.1%	2.0%	2.0%	17.3%	#3.2
8	FullStory	3.3%	3.7%	0.0%	2.7%	9.3%	#3.3
9	mParticle	0.7%	0.4%	0.7%	0.0%	2.7%	#3.0
10	June	0.0%	0.0%	0.0%	0.0%	2.7%	—
11	Koala	0.0%	0.0%	0.0%	0.0%	0.0%	—

Developer Experience1/5 cited (20%)
Which developer-focused analytics tools make it easy to maintain a tracking plan as the product evolves without events getting stale or misconfigured?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem0/5 cited (0%)
Which product analytics platforms integrate best with customer success and CRM tools so account managers can see usage signals without switching dashboards?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability2/5 cited (40%)
Which analytics SDKs handle offline and spotty network conditions best — queueing and retrying events rather than dropping them?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Key Metrics

Platform Breakdown

Overview

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Heap is not.

Where Heap is winning2

Where Heap is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Heap customer outcomes

Recent Trend

How AI describes Heap3

Most cited sources8

Alternatives in Developer Analytics & Product Analytics6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run4/5 cited (80%)
Which product analytics platforms offer auto-capture so a small team can track behavior without maintaining a complex manual tracking plan?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Your brand and a competitor were cited	Neither your brand nor a competitor was cited

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Key Metrics

Platform Breakdown

Overview

Heap ranks #4 in Developer Analytics & Product Analytics AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Heap is not.

Where Heap is winning2

Where Heap is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Heap customer outcomes

Recent Trend

How AI describes Heap3

Most cited sources8

Alternatives in Developer Analytics & Product Analytics6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Heap do?

Who is Heap best for?

How is Heap priced?

What are the alternatives to Heap?

What do users praise about Heap?

What are common complaints about Heap?

When was Heap founded and where?

How big is Heap?