Head to head
Heap vs Amplitude Feature Experimentation
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
50/100Higher score | 45/100 | |
|---|---|---|
| Category rank | #2 | #13 |
| Confidence | High confidence | High confidence |
| External Reputation | 85 | 62 |
| AI Authority | 6 | 5 |
| Web Authority | 49 | 49 |
| Expert Assessment | 53 | 69 |
| TOP10 User Score | — | — |
| Pricing | Not published · free tier: A "Start for free" entry point exists on the Contentsquare Heap page, but its limits are unverified | Plus: "Starts at $0" — first 2M events/month free, credit card required, scales to 70M events · free tier: Free plan: 2M events/month forever, no credit card required, includes limited experiments, Guides & Surveys and 10K monthly session replays |
| Pricing model | Custom | Freemium with custom event-based pricing and paid add-ons |
| Best for | Product or growth teams that want quantitative analytics plus qualitative session replay, heatmaps and surveys from one vendor, prefer autocapture over rigorous event schemas, and are comfortable buying into Contentsquare's wider experience-intelligence suite. | Mid-market product and engineering teams already committed to Amplitude analytics whose main need is safe flag-gated releases plus a small number of high-value experiments measured against existing event data — and who will negotiate experimentation add-ons into the initial contract. |
| Avoid if | You specifically wanted independent, engineering-first Heap, or you need published self-serve pricing you can budget against without talking to sales. | You are a high-velocity CRO team running many simultaneous tests, a marketing-led team wanting no-code page testing (that is the separate Web Experimentation SKU), a buyer needing budget certainty before a sales call, or you need bandits and holdout groups as standard rather than add-ons. |
| Markets | Product teams, UX/design teams, eCommerce, Digital marketing, Enterprise | Mid-Market, Enterprise, Startups, Product & Engineering teams |
| Founded | — | — |
| Headquarters | — | — |
A higher TOP SCORE means more of the evidence favours that platform on this methodology — it is not a recommendation, and it does not account for your specific requirements. Advertisers are never declared the winner of a comparison.