Funnel analysis
Analyze multi-step conversion funnels to find drop-off points and friction in key user paths.
Mixpanel, Amplitude, PostHog, Heap, FullStory, June, Countly, UXCam
Best Product Analytics tools 2026
AI search ranking
Measured from 53 AI answers to questions that name no product. Questions that name a product only show each product's pros and cons and are not counted. Includes brands from those answers that are not listed here. Products at the bottom marked “Partly in this category” rank higher in another category.
| # | Brand | Share of voice | Mentioned in | Recommended in | Site cited in | Positive | Avg. position |
|---|---|---|---|---|---|---|---|
| 1 | 12.2% | 86.8% | 54.7% | 76% | 65.2% | 1.9 | |
| 2 | 12.2% | 86.8% | 58.5% | 74% | 69.6% | 2.4 | |
| 3 | 11.9% | 84.9% | 35.8% | 58% | 48.9% | 2.5 | |
| 4 | 5.3% | 37.7% | 17% | 18% | 45% | 3.4 | |
| 5 | 3.2% | 22.6% | 11.3% | 16% | 50% | 2.3 | |
| 6 | 2.7% | 18.9% | 5.7% | 6% | 20% | 4.5 | |
| 7 | 1.9% | 13.2% | 3.8% | 8% | 42.9% | 4 | |
| 8 | 1.6% | 11.3% | 1.9% | 0% | 16.7% | — | |
| 9 | 1.6% | 11.3% | 5.7% | 8% | 66.7% | 5 | |
| 10 | 1.6% | 11.3% | 1.9% | 10% | 50% | — | |
| 11 | 1.6% | 11.3% | 5.7% | 12% | 50% | 2.7 | |
| 12 | 1.6% | 11.3% | 1.9% | 4% | 16.7% | — | |
| 13 | GA4 | 1.3% | 9.4% | 0% | 0% | 0% | — |
| 14 | 1.3% | 9.4% | 1.9% | 8% | 20% | 2 | |
| 15 | 1.1% | 7.5% | 3.8% | 2% | 50% | 2 | |
| 16 | 1.1% | 7.5% | 1.9% | 2% | 25% | 1 | |
| 17 | 1.1% | 7.5% | 0% | 2% | 0% | 4 | |
| 18 | 0.8% | 5.7% | 0% | 2% | 0% | — | |
| 19 | 0.8% | 5.7% | 1.9% | 6% | 33.3% | 1 | |
| 20 | 0.8% | 5.7% | 1.9% | 2% | 66.7% | 1 | |
| 21 | 0.8% | 5.7% | 1.9% | 6% | 33.3% | 3.5 | |
| 22 | 0.8% | 5.7% | 3.8% | 4% | 66.7% | 3 | |
| 23 | BigQuery | 0.8% | 5.7% | 0% | 0% | 0% | — |
| 24 | 0.8% | 5.7% | 1.9% | 2% | 33.3% | 1 | |
| 25 | 0.8% | 5.7% | 0% | 0% | 0% | — | |
| 26 | 0.5% | 3.8% | 3.8% | 4% | 50% | 1 | |
| 27 | 0.5% | 3.8% | 0% | 2% | 50% | 4 | |
| 28 | 0.5% | 3.8% | 0% | 2% | 50% | 6 | |
| 29 | 0.5% | 3.8% | 3.8% | 4% | 100% | 5 | |
| 30 | 0.5% | 3.8% | 0% | 0% | 50% | — | |
| 31 | 0.3% | 1.9% | 0% | 2% | 0% | 4 | |
| 32 | 0.3% | 1.9% | 0% | 2% | 0% | 5 | |
| 33 | 0.3% | 1.9% | 1.9% | 0% | 100% | — | |
| 34 | House of MarTech | 0.3% | 1.9% | 0% | 0% | 0% | 3 |
| 35 | rampstackco | 0.3% | 1.9% | 0% | 0% | 0% | 4 |
| 36 | 0.3% | 1.9% | 0% | 2% | 100% | — | |
| 37 | 0.3% | 1.9% | 1.9% | 2% | 100% | 3 | |
| 38 | SoftAgility | 0.3% | 1.9% | 0% | 0% | 0% | 1 |
| 39 | ADHDecode | 0.3% | 1.9% | 0% | 0% | 0% | 2 |
| 40 | WebAnalyzerApp | 0.3% | 1.9% | 0% | 0% | 0% | 3 |
| 41 | Neptune | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 42 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 43 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 44 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 45 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 46 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 47 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 48 | Google BigQuery | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 49 | 0.3% | 1.9% | 1.9% | 2% | 100% | 3 | |
| 50 | Adobe Real-Time CDP | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 51 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 52 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 53 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 54 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 55 | 0.3% | 1.9% | 0% | 2% | 100% | 4 | |
| 56 | 0.3% | 1.9% | 0% | 0% | 100% | — | |
| 57 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 58 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 59 | Claude Dashboards | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 60 | ChatGPT's Data agent | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 61 | 0.3% | 1.9% | 0% | 2% | 100% | 5 | |
| 62 | 0.3% | 1.9% | 1.9% | 2% | 100% | — | |
| 63 | 0.3% | 1.9% | 0% | 2% | 100% | 4 | |
| 64 | 0.3% | 1.9% | 0% | 2% | 0% | 4 | |
| 65 | 0.3% | 1.9% | 0% | 2% | 0% | 5 | |
| 66 | Purview | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 67 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 68 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 69 | 0.3% | 1.9% | 0% | 2% | 0% | — | |
| 70 | 0.3% | 1.9% | 0% | 2% | 0% | 2 | |
| 71 | 0.3% | 1.9% | 0% | 2% | 0% | 5 | |
| 72 | 0.3% | 1.9% | 0% | 2% | 100% | 5 | |
| 73 |  Redshift | 0.3% | 1.9% | 0% | 0% | 0% | — |
| 74 | 0.3% | 1.9% | 1.9% | 2% | 100% | 3 | |
| 75 | 0.3% | 1.9% | 0% | 0% | 0% | — | |
| 76 | 0.3% | 1.9% | 0% | 2% | 0% | 1 | |
| 77 | 0% | 0% | 0% | 0% | — | — | |
| — | 0.3% | 1.9% | 0% | 0% | 0% | — |
Questions asked
The 72 questions this ranking is measured with. Icons show the brands the answers name, most often first.
Questions that name no product (53)
- We're a small SaaS team picking a product analytics tool for the first time — what should we be looking for?
+3
- How should I compare product analytics platforms that have session replay with ones that only do funnels and retention?
+1
- Which product analytics tools work well for a mobile-first app that has both iOS and Android users?
- What do product analytics platforms usually cost for a startup tracking under a million events a month?
- Our funnel drop-off numbers don't match what we're seeing in session replays — how do I figure out which part of our product analytics setup is wrong?
- What are the main alternatives to heavyweight enterprise product analytics suites if you're a lean product team?
+6
- How do I choose between a product analytics tool with automatic capture and one that needs manual event tracking?
- Which product analytics options let us send behavioral data to our own data warehouse without locking us in?
+1
- We're a B2B company that needs account-level usage and retention reporting — what product analytics setup makes sense for us?
+2
- How do product analytics platforms deal with GDPR and privacy masking for session recordings that contain sensitive user data?
- What should a product team look for in a product analytics tool if we mainly care about funnels and retention rather than session replay?
- How much engineering work does it take to properly instrument events in different product analytics platforms?
- We're a two-person product team with no dedicated data analyst. Which product analytics tools would work well for us?
- If we only need heatmaps and session replay, what are some alternatives to full-suite product analytics platforms?
+1
- How does product analytics pricing work once you go past the free tier, and what usage metric usually drives the bill?
- Our event data is a mess and nobody trusts the dashboards anymore — how do we fix our product analytics tracking plan?
+4
- We have a B2C app with tens of millions of monthly events. Should we self-host our product analytics or buy a managed service?
- Which product analytics platforms can combine behavioral data with our warehouse data so we don't have to use two separate tools?
- How do I tell whether the AI assistant built into a product analytics tool actually gives reliable answers?
- We're switching from our current product analytics vendor. What should we check about data export and historical data before we migrate?
+2
- What's the difference between product analytics and web analytics, and which one do we actually need for a logged-in SaaS app?
- How do I compare product analytics tools when all the feature lists look the same on the pricing pages?
- Which product analytics tools are best for a mobile app where most of our users are on Android in low-bandwidth regions?
+1
- We're a 40-person B2B SaaS and our product manager wants self-serve analytics without bugging the data team every week — what should we pick?
- How is product analytics priced at scale — per event, per monthly tracked user, or per seat — and which model gets expensive fastest?
- Our dashboards show different numbers than our backend database — how do we figure out whether the problem is tracking, identity resolution, or the analytics tool itself?
- What are the alternatives to full-suite product analytics platforms if we only need funnels and cohort retention?
+6
- How do we evaluate whether a product analytics tool's AI assistant gives trustworthy answers rather than hallucinated numbers?
- We're migrating off our current product analytics vendor — what should we check about historical data export and event schema portability before we switch?
- For a startup tracking under 500k events a month, is it cheaper to buy a managed product analytics tool or self-host an open-source one?
- Which product analytics tools handle multi-step funnel analysis well when the funnel spans both web and mobile app steps?
- How do product analytics platforms differ in how they map user journeys and compare the paths that lead to conversion versus drop-off?
- Which tools let me build behavioral cohorts and reuse them across reports, targeting, and messaging without having to rebuild them each time?
- How do product analytics tools calculate retention differently, and why do two tools often give you retention curves that disagree?
- Which product analytics platforms have heatmaps that work on mobile app screens, not just web pages?
- How do product analytics tools handle privacy masking for session recordings and heatmaps so sensitive fields never get captured?
- Which product analytics tools capture events automatically without manual tagging, and how reliable is that automatic capture for custom UI components?
- Which product analytics platforms combine feature flags and A/B testing with behavioral analytics in one place so I don't need separate tools?
- How do product analytics tools resolve identities across devices and anonymous sessions, and what breaks when identity resolution is done poorly?
+4
- Which product analytics tools can measure adoption and failure rates of AI agent features inside our product?
- Which product analytics tools are best for tracking custom client-side and server-side events without having to do a huge instrumentation project?
- How do product analytics platforms differ in the SDKs and APIs they offer for mobile, web, and backend services?
- Are there product analytics tools where I can roll out features with feature flags and then measure their impact in the same place?
- Which tools can run in-app NPS and CSAT surveys and tie the responses back to behavioral cohorts?
+3
- How do product analytics platforms handle targeted in-app guides and messages to specific user segments, and which ones do it well?
- Which product analytics tools let AI agents access their data through MCP, and how usable is that integration right now?
+4
- Which tools group exceptions and crashes into issues and link them to the affected users and sessions?
- How do product analytics platforms handle syncing behavioral data to a warehouse like Snowflake or BigQuery, and which ones make it easiest?
- Which product analytics tools are best for tracking usage and retention at the account and company level in a B2B product?
- Which product analytics platforms have solid web analytics for traffic and conversion, and how do they compare to dedicated web analytics tools?
- Which product analytics tools are best at showing where users get stuck in a multi-step onboarding flow, and how do they differ in how they surface that drop-off?
- How do session replay tools differ in how much of a user's session they actually capture, and which ones handle single-page apps and mobile apps without breaking the recording?
- What should I look for in a tool for building shareable dashboards that non-analysts can self-serve from, and which ones make it easiest to keep metrics consistent across teams?
+1
Questions that name a product (19)
- Does Heap's automatic capture actually pick up clicks and form submissions inside a React single-page app, or do we still need to tag events manually?
- Which product analytics tools support MCP so our AI agents can query product data? Does PostHog or Countly have a usable integration today?
- In a React single-page app, does Heap's automatic capture reliably track clicks and form submissions, or do we still need to tag custom events manually?
- Does UXCam cover mobile session replay, heatmaps, and funnel analysis all in one SDK, or do we need to pair it with something like Mixpanel for product analytics?
- Does PostHog's session replay work reliably on React single-page apps and native mobile apps?
- Does Countly support data warehouse export and self-hosting? We want to keep our behavioral data in-house.
- Does PostHog's session replay work well on native iOS and Android apps, or is it mainly built for web?
- Does Countly support self-hosting and data warehouse export so we can keep behavioral data in-house?
- Does Pendo handle in-app guides and NPS surveys well enough that we could drop our separate messaging tool?
- Can June's automatic event capture replace manual tracking for a B2B SaaS product, or do we still need to instrument events ourselves?
- Does Countly's self-hosted edition include the AI analytics assistant, or is that only on the cloud plan?
- Do PostHog's feature flags and A/B testing work well enough to replace a separate experimentation tool, or do teams usually still pair it with something else?
- Is Pendo's AI analytics assistant reliable enough that product managers can just ask questions in plain English instead of writing reports?
- Does Countly's self-hosted version include the AI analytics assistant and MCP support, or are those only available in the cloud version?
- How does FullStory's privacy masking handle sensitive fields in session replays, and is it strong enough to meet GDPR compliance?
+3
- Does PostHog's automatic capture work reliably inside a React single-page app, or do we still need to tag custom events manually?
- Can Pendo's in-app guides and surveys replace a separate messaging tool, or do teams usually end up keeping both?
- Is Smartlook's mobile analytics and session replay actually good for native iOS and Android apps, or is it mainly meant for web?
- Does Heap automatically capture clicks and form submissions in a React single-page app, or do we still have to tag custom events manually?
Features in this category
Found on each product's own website.
Product analytics
Analyze user behavior and engagement across web and mobile to understand what users do and where they get stuck.
Mixpanel, Amplitude, PostHog, Heap, Pendo, June, Countly
Session replay
Record and replay individual user sessions to see exactly what users experienced and why they behaved as they did.
Mixpanel, Amplitude, PostHog, Heap, FullStory, Pendo, UXCam
Journey and path analysis
Map and compare the paths users take through the product and their impact on conversion and engagement.
Mixpanel, Amplitude, PostHog, Heap, FullStory, Countly, UXCam
Cohorts and segmentation
Group users into behavioral cohorts and segments for analysis, targeting and reporting.
Mixpanel, Amplitude, Heap, FullStory, June, Countly, UXCam
Retention analysis
Track how users return over time and identify what keeps customers coming back or causes them to churn.
Amplitude, Heap, FullStory, June, Countly, UXCam
Heatmaps
Visualize click, tap, scroll and attention patterns on pages and screens to spot engagement and friction.
Mixpanel, Amplitude, PostHog, Heap, FullStory, UXCam
Dashboards
Build and share dashboards that group charts and metrics for self-serve reporting and monitoring.
Mixpanel, Heap, FullStory, June, Countly, UXCam
AI analytics assistant
Natural-language AI assistant that answers questions about product data, builds reports and surfaces insights.
PostHog, Heap, FullStory, Pendo, Countly, UXCam
Data warehouse and export
Sync or export behavioral data to data warehouses and cloud storage, and query warehouse data alongside product data.
Mixpanel, Amplitude, PostHog, Heap, FullStory, Pendo
Mobile analytics
Track and analyze user interactions and feature usage in native and cross-platform mobile apps.
Mixpanel, PostHog, Heap, FullStory, Pendo, UXCam
Event tracking
Capture user actions and events, including custom client- and server-side events, for behavioral analysis.
Mixpanel, PostHog, Heap, FullStory, June
Privacy masking and compliance
Mask or block sensitive data and support privacy regulations such as GDPR and CCPA.
Mixpanel, Heap, FullStory, Countly, UXCam
SDKs and APIs
Provide SDKs and APIs for instrumenting products and sending or accessing data across platforms.
Amplitude, PostHog, Heap, June, Countly
Automatic capture
Automatically capture views, clicks, taps and other interactions without manual event tagging.
Heap, FullStory, Pendo, UXCam
Feature flags
Roll out, target and control product features safely with feature flags.
Mixpanel, Amplitude, PostHog, Countly
Experiments and A/B testing
Design, run and analyze A/B and multivariate tests and experiments alongside analytics.
Mixpanel, Amplitude, PostHog, Countly
Surveys and feedback
Collect in-app and email survey responses and customer feedback, including NPS and CSAT.
PostHog, FullStory, Pendo, Countly
AI agent analytics
Measure adoption, performance, failures and outcomes of AI agents and AI features.
Mixpanel, Amplitude, Pendo, Countly
In-app guides and messaging
Deliver targeted in-product guides, tours, messages and announcements to specific user segments.
Amplitude, Pendo, Countly
Identity resolution
Resolve user identities across devices, platforms and sessions into unified profiles.
Amplitude, Heap, Countly
MCP support
Expose product data and actions to AI agents and LLM tools via the Model Context Protocol.
Mixpanel, PostHog, FullStory
Account and company analytics
Analyze usage and retention at the account or company level for B2B products.
Heap, Pendo, June
Error and crash analytics
Group exceptions, crashes and stack traces into issues and link them to affected users and sessions.
PostHog, Countly, UXCam
Web analytics
Analyze website traffic, engagement and performance from first click to conversion.
Mixpanel, PostHog
The ranking reflects measured AI answers, not our opinion. Listings have not been checked individually, and inclusion is not an endorsement.