Is Heap better than Plausible Analytics in 2026?

It depends on your needs. Plausible Analytics is rated higher at 4.7/5 vs Heap's 4.4/5. Heap excels at product analytics with automatic event capture for web and mobile, while Plausible Analytics focuses on simple, privacy-first web analytics as an alternative to google analytics. Heap starts at free tier; Plausible Analytics starts at $9/mo.

Which is cheaper, Heap or Plausible Analytics?

Heap starts at free tier; Plausible Analytics starts at $9/mo. Heap has a free plan, and Plausible Analytics starts at $9/mo.

Can I migrate from Heap to Plausible Analytics?

Most users can switch between these tools. Plausible Analytics supports data import from Heap. Plan 1-3 days for migration depending on data volume and team size.

What are the key differences between Heap and Plausible Analytics?

Heap uniquely offers Autocapture, Retention Analysis, Heatmaps. Plausible Analytics uniquely offers Pageview Tracking, Goal Conversions, Real-time Dashboard. Both share 3 features including Funnels, API Access, Custom Events. Heap starts at free tier; Plausible Analytics starts at $9/mo. Founded in 2013 and 2019 respectively.

When was this Heap vs Plausible Analytics comparison last updated?

This comparison was last updated on May 13, 2026. We review and refresh our comparisons regularly to reflect the latest pricing, features, and ratings from Heap and Plausible Analytics.

Home›Analytics & BI›Compare›Heap vs Plausible Analytics

Updated May 13, 2026 · Independent Analysis

HeapvsPlausible Analytics

Capability Overview

Heapvs Plausible Analytics

★ 4.4/5-0.3 vs Plausible Analytics

Only in Heap

✦ Autocapture
✦ Retention Analysis
✦ Heatmaps

✓ Free plan10k+ companies users · est. 2013

View Full Review Try Heap Free

Plausible Analyticsvs Heap

★ 4.7/5+0.3 vs Heap

Only in Plausible Analytics

✦ Pageview Tracking
✦ Goal Conversions
✦ Real-time Dashboard

From $9/mo12k+ customers users · est. 2019

View Full Review Try Plausible Analytics Free

Pricing Features Pros & Cons At a Glance FAQ Related

Pricing Intelligence

Heap Plans

Free tier available

Free0

Free

• Up to 10k sessions/mo
• Core analytics
• Autocapture

Growth

Custom

• Custom volume
• Heatmaps
• Session replay

Pro

Custom

• Advanced analytics
• Data warehouse sync
• Priority support

Full Heap Pricing Breakdown →

Plausible Analytics Plans

Paid plans only

GrowthBest Value

$9/mo

• Up to 10k pageviews
• Unlimited sites
• No cookie banner needed

Business

$19/mo

• Up to 100k pageviews
• Custom properties
• Revenue attribution

Enterprise

Custom

• Custom pageviews
• Dedicated support
• SLA

Full Plausible Analytics Pricing Breakdown →

Feature Matrix

9 differences found across 15 standardized features

Feature

Heap

Plausible Analytics

Retention Analysis

✓

✗

Cohort Analysis

✓

✗

Session Replay

✓

✗

Heatmaps

✓

✗

A/B Testing

✓

✗

Self-Hosting

✗

✓

Mobile SDKs

✓

✗

Slack Integration

✓

✗

User Identification

✓

✗

Total (raw)

Pros & Cons Face-Off

Evaluative strengths and weaknesses — not feature lists

Heap

Pros

+Automatic event capture without code
+Retroactive analysis capability
+Comprehensive product analytics
+Strong heatmaps and session replay

Cons

−Pricing not transparent
−Can be slow with large datasets
−Steeper setup for mobile

Plausible Analytics

Pros

+Privacy-first, no cookies required
+Lightweight script (< 1KB)
+Clean simple interface
+GDPR/CCPA compliant out of the box

Cons

−No user-level tracking
−Limited compared to GA4
−No free plan (only trial)

At a Glance

User Rating

4.4/5vs4.7/5

Heap

Plausible Analytics

▲

Starting Price

Free tiervs$9/mo

Heap

Plausible Analytics

▲

Feature Count

15 featuresvs15 features

Heap

Plausible Analytics

User Base

10vs12

Heap

Plausible Analytics

▲

Frequently Asked Questions

Related Comparisons

Heap vs PostHog →Heap vs Mixpanel →Heap vs Amplitude →Plausible Analytics vs Fathom Analytics →Plausible Analytics vs Metabase →Heap Alternatives →Plausible Analytics Alternatives →

Authored by ComparEdge Editorial·Reviewed by ComparEdge EditorialExpert verified·Updated May 13, 2026·Our methodology