Startups > Heap

Heap

Heap helps product teams understand user behavior without writing tracking code.

Series D $216M total Founded 2013 San Francisco, California

Heap is a cloud-based product analytics platform that automatically captures all user interactions across web, mobile, and cloud applications without requiring manual tagging or engineering effort. Unlike legacy analytics tools, Heap enables retroactive analysis of customer behavior and provides automated insights into user paths, friction points, and conversion drivers. The platform serves B2B SaaS companies that need fast, comprehensive analytics without the overhead of traditional event-based tracking systems.

Problem solved

Product teams waste weeks setting up tracking, waiting for data collection, and collaborating with engineers to answer basic questions about user behavior.

Target customer

B2B SaaS companies, mid-market to enterprise, with high user volume and complex customer journeys seeking faster time-to-insight than traditional analytics platforms.

Website LinkedIn Crunchbase

Founders

Matin Movassate

Co-Founder & Chairman

Stanford CS & Economics graduate; former Product Manager at Facebook with access to world-class analytics infrastructure; software engineer intern at Mozilla and APM at Google.

Ravi Parikh

Co-Founder

Co-founder of Heap in 2013; limited public biographical information available.

Funding history

Seed $2M August 27, 2013 Led by Unknown · Unknown

Series C Unknown July 23, 2019 Led by NewView Capital, Maverick Ventures · Unknown

Series D $110M December 7, 2021 Led by Sixth Street Growth · Goldman Sachs Asset Management, NewView Capital, Menlo Ventures, DTCP, Triangle Peak Partners, Alliance Bernstein Private Credit Investors, Maverick Ventures, The Private Shares Fund

Total raised: $216M

Industries

Enterprise Software Business Intelligence Analytics Productivity Tools Software

Pricing

Tiered model (Growth, Pro, Premier) based on monthly tracked users (MTUs), data volume, and contract length. Not publicly listed; quote-based pricing ranges from mid-five figures to mid-six figures annually. Free plan available with up to 10k monthly sessions.

Notable customers

Lending Club, Zendesk, Twilio, Liberty Mutual, Grow, Freshdesk, Curaytor, PocketSuite

Website

heap.io/

Competitors

Amplitude

Amplitude offers deeper segmentation and experimentation tools, while Heap emphasizes faster implementation and automatic retroactive analysis.

Mixpanel

Heap demonstrates advantages in faster implementation, simpler action setup, faster time-to-insight, and higher quality insights compared to Mixpanel.

Pendo

Pendo focuses more on in-app messaging and user guidance, while Heap specializes in behavioral analytics and retroactive analysis.

Why this matters: Heap has achieved unicorn status ($960M valuation) by solving a real pain point in analytics: the friction between product teams needing insights and engineering teams needed to instrument tracking. The $110M Series D from Sixth Street Growth and Goldman Sachs signals strong enterprise traction and a shift toward fully-managed, code-free analytics platforms.

Best for: B2B SaaS companies that need comprehensive, fast analytics without engineering overhead and want to understand conversion funnels, user retention, and customer journey friction points immediately.

Use cases

Funnel optimization without engineering delays

Product managers can identify drop-off points in onboarding or conversion flows in real-time without requesting engineering tickets. PocketSuite used Heap to optimize their onboarding funnel and achieved 2x conversion increases and doubled their paying customer base.

Feature adoption analysis

Teams can instantly identify which user segments are underutilizing features and understand why. Freshdesk increased template adoption by 20% after identifying low-adoption patterns with Heap.

Retention and churn prevention

Retroactive behavior analysis reveals what actions correlate with retention or churn before customers leave. Curaytor used Heap to increase NPS by 72% and saved 80% of at-risk clients by understanding their usage patterns.

Faster analytics migration

Teams migrating from Google Analytics or other platforms can immediately ask historical questions without waiting for new data collection. Grow reduced time-to-insight by 81% after switching to Heap.

Alternatives

Amplitude Choose Amplitude if you need advanced experimentation capabilities and deep cohort segmentation for large-scale experimentation programs.

Mixpanel Choose Mixpanel if you prefer a more traditional event-based analytics approach or need stronger mobile app analytics.

Pendo Choose Pendo if your primary need is in-app guidance and user onboarding alongside analytics.

FAQ

What does Heap do? +

Heap is a product analytics platform that automatically captures all user interactions across web, mobile, and cloud applications. Unlike traditional analytics platforms, it requires no manual event tracking or engineering effort, and allows teams to retroactively analyze historical user behavior to understand conversion patterns, identify friction points, and optimize user experiences.

How much does Heap cost? +

Heap offers a free plan with up to 10k monthly sessions, and three paid tiers (Growth, Pro, Premier) with quote-based pricing starting in the mid-five figures annually. Pricing depends on monthly tracked users (MTUs), feature requirements, and contract length. Contact Heap for specific pricing.

What are alternatives to Heap? +

Top alternatives include Amplitude (stronger experimentation and segmentation), Mixpanel (traditional event-based analytics), and Pendo (in-app guidance focused). Each has different strengths depending on your primary use case.

Who uses Heap? +

Over 10,000 companies use Heap, including Lending Club, Zendesk, Twilio, Liberty Mutual, Freshdesk, and PocketSuite. The platform is primarily used by B2B SaaS companies ranging from mid-market to enterprise that need fast insights into user behavior and conversion optimization.

How does Heap compare to Amplitude? +

Heap focuses on automatic event capture and retroactive analysis with faster implementation and time-to-insight, while Amplitude excels at deep cohort segmentation and advanced experimentation. Amplitude is better for experimentation-driven orgs; Heap is better for teams wanting to ask ad-hoc questions without engineering overhead.