---
title: "Amplitude Alternatives: Product Analytics at Every Price Point | Kitbase Blog"
description: "Amplitude alternatives compared on cohort depth, experimentation, session replay, pricing and the AI-era acquisition data none of them collect."
canonical: https://kitbase.dev/blog/amplitude-alternatives
---

**Amplitude is deep and priced for enterprises, so most teams looking at alternatives want comparable analysis for less.** A smaller group wants something outside product analytics entirely, because their growth constraint is discovery rather than retention.

We build Kitbase, which is in the second group.

## Comparable depth, lower cost

### PostHog

The strongest value in the category: product analytics, session replay, feature flags, experiments, error tracking and a data warehouse, on a generous free tier, with an open-source core you can self-host as a ceiling on cost. Broader than Amplitude, slightly less refined on behavioural modelling. **Best for** most teams leaving Amplitude.

### Mixpanel

The long-standing peer, strong on cohorts and funnels, generally cheaper at mid volumes. No experimentation suite to match Amplitude's. **Best for** teams who want focused product analytics.

### Heap

Autocapture-first, collecting events retroactively so you can analyse behaviour you didn't think to instrument. **Best for** teams with instrumentation debt.

### Statsig

Experimentation-first with analytics attached, on notably generous pricing. If Amplitude's experiments are what you use most, this is the direct swap. **Best for** experiment-driven teams.

### June

Simple, opinionated reports rather than a query builder. **Best for** small B2B SaaS teams.

## Privacy-first, simpler

### Matomo, Plausible, Fathom and Umami

Web analytics rather than product analytics, all cookieless, all much cheaper. If your Amplitude usage is really traffic and conversion reporting rather than cohort analysis, these cover it for a fraction of the price. Worth checking honestly before migrating to another product analytics tool. **Best for** teams who over-bought.

## Outside product analytics

Every tool above measures what happens after someone arrives. None see how discovery is changing.

Two blind spots they share. AI crawlers don't execute JavaScript, so GPTBot, ClaudeBot and the rest read your site without appearing in any of them. And AI referrals arrive badly labelled, with a meaningful share landing in direct because copied links carry no referrer.

### Kitbase

Kitbase covers cookieless web analytics with autocapture, custom events, funnels, journeys, retention, page durations and rage and dead click detection, plus two server-side layers.

[AI crawler detection](https://docs.kitbase.dev/crawler-detection) resolves forwarded requests from your server or edge to named crawlers and verifies each against published identity, with per-path crawl frequency.

[AI visibility](https://docs.kitbase.dev/ai-visibility) covers up to ten answer surfaces, with presence rate splitting brand mentions from domain citations, share of voice with a dense rank across every tracked brand, cited pages classified by ownership and source type, and per-mention sentiment, recommendation status and list position.

**The honest limitation:** basic cohorts, no experimentation, no replay. **Best for** the acquisition side rather than the product side.

## At a glance

| Tool | Cohort depth | Experiments | Replay | Free tier | AI crawler data |
|---|---|---|---|---|---|
| **Amplitude** | Deepest | Yes | Yes | Limited | No |
| **PostHog** | Deep | Yes | Yes | Generous | No |
| **Mixpanel** | Deep | No | No | Limited | No |
| **Heap** | Deep, autocapture | No | Yes | Limited | No |
| **Statsig** | Moderate | Yes, core | No | Generous | No |
| **June** | Moderate | No | No | Yes | No |
| **Plausible / Umami / Fathom** | None | No | No | Varies | No |
| **Kitbase** | Basic | No | No | Trial | Yes, verified |

Confirm pricing on the vendor's own site.

## Check what you actually use first

Before migrating anything, list the reports someone opened in the last quarter. Amplitude migrations are painful, and a large share of them turn out to be unnecessary once the usage is examined.

Three common findings. Most of the value came from three or four saved charts, which almost any tool provides. A big share of tracked events were marketing-site pageviews that never needed to be in a product analytics tool at all. And the deep behavioural modelling that justified the contract was used once, during evaluation.

If that's the pattern, the cheapest fix is splitting: a smaller product analytics tool for in-app events, and web analytics for the marketing site. That's also where the AI layer belongs, since crawler and citation questions are acquisition questions.

If instead you genuinely use cohorts, pathing and experiments weekly, PostHog is the realistic alternative and everything else on this list is a downgrade.

## FAQ

**What is the best Amplitude alternative?**
PostHog for breadth and value, Mixpanel for focused product analytics, Statsig if experiments are the main use.

**Which has the best free tier?**
PostHog, clearly, in this category.

**Do any of them track AI crawlers?**
No. They're JavaScript and SDK-based, and AI crawlers don't execute JavaScript.

**Can web analytics replace product analytics?**
Only if your questions are about traffic and conversion rather than in-app cohorts and feature adoption.

**Should marketing-site traffic go into a product analytics tool?**
Usually not. It inflates event volume and costs, and the questions are better answered by web analytics.

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