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Buying guide · 8 tools · prices checked Nov 7, 2026

The best product analytics platforms in 2026

Our ranked picks weigh analytics fit against disclosed pricing, plan limits, and what buyers still need to clarify.

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For most product teams, Heap is the best starting point: it offers automatic event capture, journey analysis, and a free plan. But its paid price is not published, so free access does not guarantee a predictable total cost. Contentsquare has a lower listed starting price and a focus on replay and journey analysis; Vexo is a better fit for React Native teams with modest event volume. We rank by breadth, fit, and disclosed price—not raw score alone. Ahoy is included for completeness, but it is not product analytics software.

Quick picksThe shortlist

  1. HeapBest overall · Free
  2. ContentsquareBest for journey analysis · $39/mo
  3. VexoBest for React Native · $15/mo
  4. SherlockBest for engagement scoring · $49/mo
  5. UserpilotBest for onboarding · $299/mo
  6. KeenBest for embedded analytics · $134/mo
  7. Quantum MetricBest for enterprise journeys · Custom
  8. AhoyNot a product analytics fit · $79/mo

01Compared at a glance

ToolScoreFromFree planTrial
Heap6.8FreeYes—
Contentsquare6.0$39/moYes—
Vexo6.5$15/moYes—
Sherlock6.0$49/moNo—
Userpilot6.0$299/moNo14 days
Keen6.5$134/moNo—
Quantum Metric5.8CustomNo—
Ahoy4.5$79/moNo14 days

02The picks, in detail

  1. Best overall

    Heap

    Heap ranks first for its automatic event capture and user-journey analysis, which make it a strong general-purpose choice. The pricing information lists a free plan, a useful starting point for early teams. But Heap’s paid costs and key add-ons require a quote, so check the cost of moving beyond the free plan before committing.

    What works

    • Automatic capture uses a single snippet
    • Free plan includes up to 10k monthly sessions
    • Free plan includes SSO and one project

    What doesn't

    • Paid plan prices are not published
    • Growth requires an estimate
    • Pro and Premier use custom session pricing
    6.8/10
    from
    Free
    Visit ↗
  2. Best for journey analysis

    Contentsquare

    Contentsquare combines replay and journey analysis, with a fit for ecommerce teams diagnosing friction and organizations working across multiple products. The listing shows a free plan and a $39 starting price. That entry point is worth comparing, but the real cost and data limits need scrutiny; the starting price alone does not tell you what your usage will cost.

    What works

    • Combines heatmaps, journey analysis and session replay
    • Free web plan includes up to 200k monthly sessions
    • Growth includes 13 months of data access

    What doesn't

    • Growth replay capture is limited to 15%, with a 20k minimum
    • Free web plan allows one project and one month of data
    • Pro and Enterprise prices are not published
    6.0/10
    from
    $39/mo
    Visit ↗
    Contentsquare homepage
  3. Best for React Native

    Vexo

    Vexo is the clearest fit here for React Native apps that need replays and heatmaps. It has a free plan and a listed starting price of $15, with a fit for small apps below 500K monthly events. The trade-off is usage-based scaling: check how event volume affects paid costs before choosing it for a growing app.

    What works

    • Free plan includes 500K events monthly
    • Includes session replays and heatmaps
    • Supports custom events and dashboards

    What doesn't

    • Premium event pricing increases with usage
    • Replays cost extra beyond 1,000
    • Standard plans include only two seats
    6.5/10
    from
    $15/mo
    Visit ↗
    Vexo homepage
  4. Best for engagement scoring

    Sherlock

    Sherlock focuses on SaaS product engagement, weighted engagement scores, and account-level activation monitoring. That makes it a more targeted choice than a broad analytics platform. Its listed starting price is $49, but the pricing details need clarification before you switch. Confirm what is included at that price and whether it covers the account-level views you need.

    What works

    • Scores users and accounts on a normalized 1–100 scale
    • Lets teams weight tracked events from 0 to 10
    • Ranks engaged, active, rising and falling users

    What doesn't

    • No free plan is listed
    • Annual billing prices aren't published
    • Plan details mention hosts, logs and traces
    6.0/10
    from
    $49/mo
    Visit ↗
    Sherlock homepage
  5. Best for onboarding

    Userpilot

    Userpilot brings product analytics and in-app engagement together for SaaS teams improving onboarding and managing web experiences. That combination is useful if adoption workflows matter as much as measurement. The listed starting price is $299, and some add-ons cost extra. It is a capable option, but compare the full package cost against buying analytics and engagement tools separately.

    What works

    • Combines analytics, in-app engagement and feedback
    • Tracks funnels, paths, trends and cohorts
    • Includes no-code flows, tooltips and contextual nudges

    What doesn't

    • Starter costs $299/month and caps usage at 2,000 MAUs
    • No free plan; the listed trial lasts 14 days
    • Growth starts at $849/month
    6.0/10
    from
    $299/mo
    Visit ↗
    Userpilot homepage
  6. Best for embedded analytics

    Keen

    Keen fits products embedding analytics for customers and teams that want to avoid managing streaming infrastructure. Its listed starting price is $134, and it is best suited to predictable event volumes. The drawback is value at the entry level: the plan has modest limits for the price. Check those caps against expected customer usage before choosing it.

    What works

    • Managed event streaming and persistent storage
    • Real-time analytics through the Compute API
    • White-labeled dashboards for embedding

    What doesn't

    • No free plan listed
    • Team starts at $134/month with annual billing
    • Team includes 250,000 events and 5,000 queries
    6.5/10
    from
    $134/mo
    Visit ↗
    Keen homepage
  7. Best for enterprise journeys

    Quantum Metric

    Quantum Metric is aimed at large digital-property teams investigating journey friction and measuring the revenue impact of fixes. That focus can suit organizations that need to connect experience problems with business outcomes. Pricing is not published, so buyers cannot compare its total cost from the available information. Request a quote and clarify scope before shortlisting it on value.

    What works

    • Captures behavioral, technical, experience, and business context
    • Identifies struggles, causes, affected sessions, and possible next actions
    • Ranks issues by revenue at risk

    What doesn't

    • Custom Enterprise pricing; starting price not published
    • Session limits are set by agreement
    • Overage rates are not published
    5.8/10
    from
    Custom
    Visit ↗
    Quantum Metric homepage
  8. Not a product analytics fit

    Ahoy

    Ahoy is a professional community, not a product analytics platform. Its listed starting price is $79, and its stated strengths are peer feedback, shared design workflows, and live learning. Those may be useful for practitioners, but they do not match the core job of measuring product behavior. We include it for completeness, not as a buying recommendation for analytics.

    What works

    • Industry channels span several professional topics
    • Portfolio reviews offer a group-critique format
    • Case studies cover workflows from concept to completion

    What doesn't

    • Not a product analytics tool
    • No free plan is listed
    • Starter costs $99 per seat monthly
    4.5/10
    from
    $79/mo
    Visit ↗

03How we chose

We compare Keen, Contentsquare, Userpilot, Heap, Ahoy, Quantum Metric, Vexo and Sherlock against the same buying questions: what user behavior they help teams understand, how feature adoption is measured, and whether the published pricing and plan limits fit the intended use. We use product documentation and Reddit comments as evidence, not as substitutes for clear plan terms. We do not claim hands-on testing. When a price, limit or capability is not stated in the material available to us, we mark it as not published rather than infer it.

04Start with the product decision you need to make

Choose a platform around the decisions your team needs to make, not the longest feature list. Start by naming the questions: where users drop off, whether a feature is being adopted, or which behavior precedes a desired outcome. Then check the documentation for how each product defines and reports the events or behaviors you need. Compare Keen, Contentsquare, Userpilot, Heap, Ahoy, Quantum Metric, Vexo and Sherlock against that same list; we do not assume they offer identical methods or coverage. Confirm that the people who need the data can access it, and that your team can collect the required data under its privacy and governance rules. If a key capability is not described in the docs, ask the vendor before you commit. A platform is a poor fit if it cannot answer your priority questions clearly.

05Compare the full cost and switching burden

Do not compare subscription prices without checking what each plan includes. Review the pricing page for billing units, usage allowances, feature restrictions and any published plan caps. If a price or limit is not published, treat it as unknown and request written terms; do not assume it is included. Before switching, list the data and reports you need to preserve, then check the docs for export options, retention details and any migration guidance. Ask whether historical data can move, or whether the new setup starts a fresh measurement period. Those answers affect the real cost: engineering time, reporting gaps and overlapping subscriptions can matter as much as the listed fee. Compare all eight tools using the same expected usage and must-have requirements. If those requirements exceed a plan's documented limits, price the next tier or remove that option from the shortlist.

Questions people ask

What is product analytics software?

Product analytics software helps teams examine how people use a digital product, measure behaviors such as feature adoption, and use those findings to guide product changes. Capabilities and data collection methods vary by platform, so check each product’s documentation against the questions your team needs to answer.

How do we choose a product analytics platform?

Start with your priority questions, required data, users and budget. Compare documented capabilities, pricing units, plan limits, privacy requirements and export options across the shortlist. If pricing, a limit or a needed capability is not published, ask the vendor for written confirmation rather than treating it as included.

How much does product analytics software cost?

There is no price we can state for these products from the material available here. Check each vendor’s current pricing page and confirm billing units, usage limits and plan restrictions. Where pricing is not published, request a quote and compare it against your expected use, not just the entry plan.

Can we switch product analytics platforms without losing historical data?

Do not assume historical data will transfer. Check the current and prospective platforms’ documentation for export, retention and import options, then ask both vendors about any gaps or format restrictions. Plan for the possibility that reporting across the switch date may need separate treatment.