Mixpanel Pricing 2026: Plans, Per-Event Cost
Mixpanel is one of the few product analytics tools with a public per-unit rate. Here is every plan, what the $0.28 per 1,000 events actually covers, which capabilities are paid add-ons, and how to estimate your bill before you talk to sales.
By the UserInsight team
July 2026 · 8 min read
Mixpanel has three plans. Free is capped at 1 million events a month with 5 saved reports per seat and 10,000 session replays. Growth starts at $0, gives you the first 1 million events free and then charges $0.28 per 1,000 events. Enterprise is quoted. That published per-unit rate makes Mixpanel unusual in this category: you can multiply your tracking plan by a real number and produce a budget today, without a sales call. The figures below were read directly off mixpanel.com/pricing in July 2026.
How much does Mixpanel cost?
Here is the whole public rate card, as Mixpanel publishes it:
| Plan | Published price | Monthly events | Session replays | Saved reports |
|---|---|---|---|---|
| Free | $0, no credit card | Capped at 1M | 10K per month | 5 per seat |
| Growth | Starts at $0, then $0.28 per 1,000 events | First 1M free, up to 20M with volume discounts | 20K free, customizable to 500K | Unlimited |
| Enterprise | Quoted by sales | Unlimited, up to 1T | 20K free, customizable | Unlimited |
| Startup Plan | First year free if you qualify | Growth allowances | Growth allowances | Unlimited |
The Startup Plan is worth checking before you pay anything. Companies founded less than five years ago that have raised $8 million or less get their first year free. For a seed-stage team that is a full year of Growth-tier analytics at no cost, and it is the single cheapest way into a serious product analytics tool right now.
Is Mixpanel free?
Yes, and it is a permanent plan rather than a trial. You get 1 million events a month, 10,000 session replays and 5 saved reports per seat, with no card required. A focused product with a disciplined tracking plan can run on it indefinitely.
In practice the report cap bites before the event cap does. Five saved reports per seat sounds generous until two teammates each want a funnel, a retention curve and a weekly dashboard saved, and someone starts deleting reports to make room for new ones. The 1 million event ceiling arrives later, but it arrives for everyone, because event volume grows on two axes at once: more users, and more of the product instrumented. The upgrade is gentle though. Growth also starts at $0 and bills from the first event past the free million, so there is no cliff where a plan price suddenly appears.
How does Mixpanel's pricing model work?
Mixpanel bills for events, not for seats and not for users. An event is a single tracked action: a page viewed, a button clicked, a file uploaded, a subscription started. You decide which actions get tracked when you write your tracking plan, which means you have direct control over the bill in a way that per-user pricing never gives you.
That is the opposite of how Pendo bills against Mixpanel, and the difference decides which one is expensive for your product. Pendo counts monthly active users, so a consumer or freemium product with a large casual audience gets costly even if you only track a handful of actions. Mixpanel counts actions, so a small user base doing a great deal each is the expensive case. Neither model is better in the abstract. Run both against your own numbers.
Seats are unlimited on every plan, which matters more than it sounds. There is no per-analyst tax, so you can give the whole product, design and support team access without a budget conversation each time someone new wants to look at a funnel.
What counts as an event in Mixpanel?
Any action you explicitly send to Mixpanel counts as one event. Properties attached to that event, such as the plan name or the device type, do not count separately, so a richly described event costs the same as a bare one. Identifying a user does not cost an event either.
This is where most bill surprises come from. Teams instrument generously during a build, ship a few high-frequency events like scroll or hover or a poll that fires every few seconds, and then find their volume is dominated by actions nobody ever analyzes. Before you estimate anything, audit what you are sending. The usual finding is that a small number of noisy events account for the majority of volume and answer no question anyone has asked. Cutting those is the cheapest optimization available, and unlike most cost work it also makes the reports easier to read.
What are the Mixpanel add-ons?
The headline event rate is not the whole quote. Mixpanel sells a set of capabilities as paid add-ons across plans, and several of them are things teams assume are included:
| Add-on | What it does | Why it matters to the quote |
|---|---|---|
| Experiment reporting | Analysis of A/B and feature tests | Amplitude bundles experimentation into every tier, so compare on the total, not the rate |
| Feature flags | Roll features out to segments | Often already covered by a separate flagging tool you pay for |
| Data pipelines | Export events to your warehouse | The line teams forget when planning a warehouse-first stack |
| Monitoring and alerts | Notify on metric movement | Assumed to be standard by most buyers, and it is not |
| Anomaly detection | Flag unusual changes automatically | Sold separately from monitoring |
| Metric Trees | Model how input metrics roll up into headline ones | Newer add-on, easy to miss when comparing an old quote |
| Slack shared channel, faster SLAs | Support upgrades | Usually bundled into an Enterprise negotiation |
None of this makes Mixpanel expensive. It makes the published rate an incomplete picture, which is worth knowing before you present a number to finance and then revise it upward two weeks later. Price the add-ons you actually need at the same time as the events.
How do you estimate your Mixpanel bill?
Multiply your monthly active users by the number of tracked actions an average user performs in a month, subtract the free million, then divide by 1,000 and multiply by $0.28. Three worked examples on the published Growth rate:
| Product shape | Monthly events | Billable events | Growth cost per month |
|---|---|---|---|
| 5,000 users, 200 tracked actions each | 1,000,000 | 0 | $0, inside the free allowance |
| 50,000 users, 100 tracked actions each | 5,000,000 | 4,000,000 | $1,120, about $13,440 a year |
| 200,000 users, 100 tracked actions each | 20,000,000 | 19,000,000 | $5,320 at list, before volume discounts |
Those are our own calculations against Mixpanel's published rate rather than quotes, and the third one in particular is a ceiling rather than a real price, because Mixpanel offers volume discounts approaching 20 million events and most teams at that scale are in an Enterprise conversation anyway. Use the arithmetic to decide whether the tool belongs on your shortlist, then negotiate. The useful part is that you can do this before anyone calls you, which you cannot do with Pendo's pricing, where no rate card exists above the free tier.
One more thing worth doing while you are modeling this. If your events already land in a warehouse through the pipelines add-on, a fair number of the one-off questions people bring to an analytics seat can be answered by asking the raw tables a plain-English question instead, which keeps your Mixpanel usage focused on the recurring reports that justify the per-event cost.
How does Mixpanel pricing compare to Amplitude and Pendo?
| Mixpanel | Amplitude | Pendo | |
|---|---|---|---|
| Billing unit | Per event | Per event | Per monthly active user |
| Free tier | 1M events, 10K replays | 2M events, 10K replays | 500 MAU |
| Public rate above free | $0.28 per 1,000 events | None published above Plus | None at any paid tier |
| Experimentation | Paid add-on | Included on every tier | Predict is a paid add-on |
| In-app guides | Not offered | Included on every tier | Included on every tier |
Read the middle column carefully, because it changed recently and most comparison pages have not caught up. Amplitude bought Command AI, launched Guides and Surveys, and now bundles session replay, experimentation and in-app guidance into every tier including the free one. On a pure feature-per-dollar basis that makes Amplitude a stronger free tier than Mixpanel, though its paid tiers are the least transparent of the three, as the plan by plan Amplitude pricing guide sets out. Mixpanel's counter is forecastability and speed: it is the easiest of the three to budget, and product managers consistently find it faster to self-serve. The sharpest test of that argument is against PostHog, which publishes rates roughly five times lower per event and bundles feature flags and experimentation rather than charging for them, so Mixpanel versus PostHog on price is worth working through, as is the full PostHog rate card with costed examples. The wider field is covered in our product analytics tools comparison.
Is Mixpanel worth it?
If you need behavioral analytics and you want a number you can defend to finance before you commit, Mixpanel is the most straightforward purchase in the category. The free tier is real, the rate is public, seats are unlimited and the Startup Plan can carry an early team through a full year at no cost.
The honest limit is scope. Mixpanel tells you what happened with precision and tells you nothing about why. It does not collect feedback, run surveys, read support tickets or watch reviews, so when a funnel step drops eight points the tool that found the drop cannot explain it. That gap is why most teams end up buying a second thing, and it is worth budgeting for deliberately rather than discovering it in month three. If you are weighing whether Mixpanel is the right tool at all, our Mixpanel alternatives breakdown covers where it wins and where it does not, and what product analytics actually is is a good starting point if this is your team's first tool in the category.
UserInsight sits on the other side of that gap. It runs alongside Mixpanel rather than replacing it, joining the behavioral signal you already trust to the tickets, reviews and survey replies from the same users, so a drop-off arrives with candidate causes attached and every finding links back to the evidence behind it.
See UserInsight surface the why
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