Pick the right tool. Honestly compared.
Twelve side-by-side comparisons, useful whichever way you decide. Some tools do things we don't, and we say so.
What does it answer, and how much work before you get the answer?
That is the real difference between analytics tools. Here is how the usual shortlist compares.
Swipe the table for Google Analytics 4, Mixpanel and Hotjar.
| Criterion | Kissmetrics | Google Analytics 4 | Mixpanel | Hotjar |
|---|---|---|---|---|
| Counts people across devices and visits | Yes, by default | Partly, aggregated | Yes, with ID merge | Limited, session-based |
| Ready-made reports for your biggest questions | Yes | Pageviews at once, the rest after custom events | After an event taxonomy is agreed and instrumented | No |
| Campaign, signup and revenue on the same person | Yes, first or last click | Partly, aggregated, e-commerce revenue only | Partly, revenue needs custom events | No |
| Who builds the reports | They come built | You, in Explorations or BigQuery | You, each board by hand | Not applicable |
| Free plan | Yes, 100k events a month, no card | Yes, free | Yes, up to 1M events a month | Yes, basic features |
Heatmaps and session recordings: Hotjar has them, Kissmetrics does not. Competitor details as published on their sites in September 2026. Tell us if something changed and we will fix it: help@kissmetrics.io.
Pick the tool that was built for your job.
Every tool on this page is good at something. Kissmetrics is made for marketers and the people who decide where the budget goes. The question is what you need it to do.
PostHog
Engineering teams that want analytics, recordings, feature flags and experiments in one stack they wire themselves.
Google Analytics 4, Plausible Analytics and Matomo
Traffic counts, free or cheap (Fathom is another option here): visits, pageviews and sources, without revenue per person.
Kissmetrics
Ready-made reports for your biggest questions, built on data about people. No analyst needed to build them.
Browse the twelve.
- vs Google Analytics 4Visits against people, and why that changes the answer.Web Analytics
- vs MixpanelA blank canvas against ready-made answers.Product Analytics
- vs AmplitudeWhere the two overlap, and what an enterprise contract buys you that you may not need.Product Analytics
- vs HeapEvery click recorded to sort later, against a short list of named events tied to revenue.Product Analytics
- vs PostHogBuilt by engineers for engineers, against built for the people who decide.Product Analytics (Open Source)
- vs PendoGuides, feedback and roadmaps against campaigns and revenue.Product Experience
- vs HotjarHow a page feels against who became a customer. You can run both on the same site.Heatmap & Session Recording
- vs FullStoryRecordings first against people first.Digital Experience Intelligence
- vs Adobe AnalyticsDepth for teams with analysts, against answers for teams without.Enterprise Web Analytics
- vs SegmentA pipe against a place to ask questions. They can work together.Customer Data Platform (CDP)
- vs Plausible AnalyticsSimple traffic counts against people and revenue. Different jobs.Privacy-First Web Analytics
- vs MatomoHosting it yourself against opening a report.Web Analytics (Open Source)
Already decided to leave a tool? Start from the alternatives pages. Not down to two yet? Read the category surveys: Product analytics platforms, Web analytics tools, Marketing attribution software, Marketing analytics tools and AI analytics tools.
The fastest comparison is your own data.
Start free, keep your current tool running, and see in a week which one answers the question you actually have.
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