{ "ids": [ "mixpanel", "amplitude" ], "title": "Mixpanel vs Amplitude: events, limits and team fit", "deck": "Choose an event analytics workflow using a shared activation question and a realistic usage forecast.", "answerHeading": "Which workflow makes the product question easier to answer?", "answer": "Both tools offer event-based product analysis and recurring free access. Compare the ease of answering your actual activation and retention questions, the definitions behind identity and cohorts, and the plan needed by the full team. Mixpanel currently includes 1 million events per month on Free; Amplitude Free includes 2 million. These allowances alone do not determine the better operating fit.", "rows": [ [ "Core analysis", "Events, funnels, retention and cohorts", "Events, funnels, retention and behavioural exploration" ], [ "Current free event allowance", "Up to 1 million per month", "2 million per month" ], [ "Plan names", "Free, Growth and Enterprise", "Free, Plus, Growth and Enterprise" ], [ "Adjacent capabilities", "Replay, experiments and feature flags with limits", "Replay, experimentation and engagement tools with limits" ], [ "Tracking ownership", "An agreed event taxonomy and identity model", "An agreed event taxonomy and identity model" ], [ "Paid evaluation", "Volume, report capabilities and governance needs", "Event volume, advanced analysis and governance needs" ], [ "Selection proof", "Answer the team’s defined product questions", "Answer the same questions with the same data contract" ] ], "scenarios": [ { "name": "Activation investigation", "question": "Can the team isolate where new accounts fail to reach value?", "left": "Build the agreed event sequence and inspect the affected cohort.", "right": "Build the same sequence and cohort definition.", "note": "Hypothetical brief: agree the activation milestone before comparing interfaces." }, { "name": "Repeat-use question", "question": "What counts as a retained user?", "left": "Define a return event and reporting interval explicitly.", "right": "Use the same return event and interval.", "note": "A weekly sign-in and a weekly completed workflow answer different retention questions." }, { "name": "Event growth", "question": "What happens when instrumentation expands?", "left": "Model the Free allowance and paid volume using the proposed tracking plan.", "right": "Model the Free allowance and Plus or quoted plans using that same plan.", "note": "Estimate high-frequency events separately instead of multiplying all activity by an average guess." }, { "name": "Shared product review", "question": "Can the intended users investigate and agree a decision?", "left": "Check saved reports, permissions and collaboration in the required plan.", "right": "Check equivalent permissions, reports and collaboration in the required plan.", "note": "A hypothetical acceptance condition is a repeatable review that does not depend on one analyst." } ], "sections": [ { "id": "event-economics", "title": "Estimate meaningful events rather than every click", "navLabel": "Event forecast", "paragraphs": [ "List the decisions the team expects to make and the events required for each one. Separate business milestones from noisy interface interactions, and include background or server events that can materially increase volume.", "Forecast an ordinary month and an unusual release month. Add replay or experimentation as separate lines with their own units. A larger free event allowance is useful only if the required analysis, retention and permissions also fit." ] }, { "id": "cohort-continuity", "title": "Keep identity and cohort definitions stable", "navLabel": "Tracking quality", "paragraphs": [ "Write rules for anonymous visitors, registered users, account changes and merged identities. Test a sample journey through sign-up and later return with synthetic identifiers. The aim is to understand the denominator before interpreting a trend.", "Store a short explanation beside each decision report: who is counted, which event qualifies and which date range applies. This makes the product review more durable when instrumentation changes or a new team member takes ownership." ] } ], "faqs": [ { "question": "Do both products have a recurring free plan?", "answer": "Yes. Current Free plans are ongoing rather than merely trials, with event and capability limits. Mixpanel includes up to 1 million events per month and Amplitude includes 2 million." }, { "question": "Is Amplitude still priced only by monthly tracked users?", "answer": "The current public Free, Plus, Growth and Enterprise offer is described using event volume. Use the terms for the actual account or quote rather than an old MTU-only comparison." }, { "question": "Does the free event allowance cover every product?", "answer": "No. Replay, experiments, flags and other capabilities can have their own limits or commercial scope." }, { "question": "Can a funnel prove that a feature caused retention?", "answer": "A funnel can show an observed relationship. Establishing causation needs an appropriate experiment or another defensible evaluation design." } ], "id": "mixpanel-vs-amplitude", "heading": "Mixpanel vs Amplitude", "kicker": "Analytics comparison", "description": "Mixpanel vs Amplitude: events, limits and team fit. Compare free access, implementation scope, operating costs and practical buying requirements.", "checkedAt": "2026-10-15", "researchTag": "Buying requirements comparison", "researchLimit": "The buying briefs and acceptance checks are hypothetical evaluation proposals. They are not hands-on tests, performance measurements or vendor scores.", "datasetDescription": "Seven practical differences, four hypothetical buying briefs and a four-row acceptance checklist.", "type": "workflow-buying", "exampleTable": { "caption": "Hypothetical buying checklist; the conditions below are proposed acceptance checks, not measured results.", "headers": [ "Requirement", "Evidence to collect", "Acceptance condition" ], "rows": [ [ "Measurement scope", "An agreed journey, events and relevant context", "Both evaluations answer the same defined question" ], [ "Collection quality", "A synthetic journey reconciled with expected records", "Counts and missing context can be explained" ], [ "Commercial scope", "Written plan limits and operating responsibilities", "Every required capability has an owner and a budget" ], [ "Review process", "A short report and follow-up action", "The intended team can repeat the investigation" ] ] }, "sources": [ { "url": "https://mixpanel.com/pricing/", "facts": "Mixpanel: current product scope, access boundaries and operating requirements." }, { "url": "https://mixpanel.com/home/", "facts": "Mixpanel: current product scope, access boundaries and operating requirements." }, { "url": "https://www.amplitude.com/pricing", "facts": "Amplitude: current product scope, access boundaries and operating requirements." }, { "url": "https://amplitude.com/docs/pricing", "facts": "Amplitude: current product scope, access boundaries and operating requirements." } ], "relatedLinks": [ { "path": "/guides/analytics-measurement-plan/", "title": "Write an analytics measurement plan" }, { "path": "/guides/software-total-cost/", "title": "Estimate the complete software cost" }, { "path": "/guides/software-buying-checklist/", "title": "Prepare a repeatable software evaluation" }, { "path": "/categories/web-product-analytics/", "title": "Browse web and product analytics" } ] }