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Heap Analytics

Heap automatically captures every user interaction to provide data for increasing conversions, retention, and customer delight.

Venture Funded$137MSeries DMenlo VenturesSequoia CapitalSapphire Ventures

user behavior analyticsdata-driven insightscompliance-readyscalable analytics

About

The vendor states that Heap, now part of Contentsquare, automatically captures every user interaction to provide data for increasing conversions, retention, and customer delight. The platform offers Sense Chat for analytics, allowing users to get insights without a learning curve. Heap is used by over 10,000 companies to understand customer journeys, improve conversion and activation, increase retention, and deliver user experience. The platform automatically captures the entire digital experience of every user on every platform with a single snippet, providing a complete dataset. Heap's data science capabilities, called Illuminate, alert users to friction and opportunities in the digital experience, even for unmonitored user behaviors. Integrated session replay provides context on user actions, directing users to specific points in a session to understand user behavior and identify fixes. Heap also offers over 100 integrations to deliver information to customers at relevant moments. The vendor highlights that Heap's data science tools show alternate user paths, user effort in flows, and events correlating with conversion and retention.

Read from heap.io on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

60/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityPartial

Cloud-based: Cloud

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

Founded 2013 · Series D

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 23d ago

GitHub API2026-05-27

heap

SDK / client libraries· 16★· active 4mo ago

Ruby · LookML · Shell · TypeScript

steady · +0★ (+0%) 30d

PyPI registry

heap

v0.0.1· UNKNOWN

Status page2026-05-05

Operational

operational· via statuspage· 9 incidents (90d)

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Product usage analytics

Customer journey mapping

Conversion rate optimization

Marketing attribution

User retention analysis

Integrations

SalesforceMarketoSegmentGoogle AnalyticsSlackLookerTableauZendesk

How Heap Analytics compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Heap Analytics	60 · Established	Enterprise	Cloud	—	8
Kibana	70 · Strong	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Lightdash BI	69 · Strong	Freemium	Cloud, Self-Hosted, On-Premise, Hybrid	—	8
Honeycomb Observability	68 · Strong	Enterprise	Cloud, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Heap Analytics used for?

Heap Analytics is heap automatically captures every user interaction to provide data for increasing conversions, retention, and customer delight. It is commonly used for product usage analytics, customer journey mapping, conversion rate optimization, and marketing attribution.

Is Heap Analytics free, and how is it priced?

Heap Analytics uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Heap Analytics be deployed?

Heap Analytics supports Cloud deployment. It is delivered as a cloud-hosted service.

What does Heap Analytics integrate with?

Heap Analytics documents 8 integrations, including Salesforce, Marketo, Segment, Google Analytics, Slack, and Looker.

When was Heap Analytics founded?

Heap Analytics was founded in 2013 and has raised $137M in funding.

Is Heap Analytics enterprise-ready?

Based on cataloged data, Heap Analytics has an Enterprise Readiness score of 60/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud

Founded2013

Funding$137M

CategoryAnalytics & BI

Procurement

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