The Essential Guide to

Product Management Metrics

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Which Product Analytics Tools Are Worth It in 2026?

Best Product Analytics Tools for 2026: A B2B SaaS Comparison

Most teams pick product analytics tools by comparing features and pricing tiers. They build spreadsheets, score each option, and choose the platform with the best coverage. But the most important question gets skipped: which tool helps you act on what you find?

B2B SaaS teams need product analytics tools that connect usage data to retention outcomes. Without that link, you’re building dashboards that don’t prevent churn or drive expansion. The right tool isn’t the one with the most features. It’s the one that lets your team move from insight to action without waiting on dev resources or stacking new vendors.

This guide compares the 10 best product analytics platforms in 2026. We’ll cover what each tool does well, where it falls short, how pricing works, and which team type each one fits.

Main Takeaways

• Product analytics measures post-login behavior. Web analytics tracks pre-signup traffic. B2B SaaS teams need product analytics to tie feature adoption to renewal, spot churn risk in onboarding, and flag accounts ready to expand.
• In-app guidance is the biggest capability divide in the category. Three platforms bundle it natively (Gainsight PX, Pendo, Userpilot). Two sell it as a paid add-on (Amplitude, FullStory). The rest require a separate tool.
• Pricing model matters more than headline price. Event-based, MTU-based, MAU-based, session-based, and usage-based per product all produce different invoices for the same usage pattern. Run the math on your event-to-user ratio before committing.
• You’ll likely outgrow your first product analytics tool. Plan a 2 to 4 week parallel-run period when migrating, and budget time to re-map events because schemas rarely transfer cleanly.

What Product Analytics Tools Do (and How They Differ From Web Analytics)

Product analytics tools measure what happens after someone logs in. Every click, navigation path, feature interaction, and session gets tracked. That’s a different job than what GA4 does.

Web analytics tells you where visitors came from and which pages they viewed before signing up. Product analytics picks up where that story ends. It tracks how people use your product day to day.

The user behavior analytics you get (funnel completion rates, cohort retention curves, feature adoption trends, and path analysis) give product and customer success teams real visibility. Teams can tighten onboarding, catch drop-off early, and spot accounts ready for expansion.

If you want to understand post-login behavior and improve adoption outcomes, you need a dedicated product analytics tool. The next question is which one fits your team, and that answer depends on what you’re trying to do with the data.

How B2B SaaS Teams Use Product Analytics for Retention and Expansion

The most valuable thing product analytics can do in B2B SaaS isn’t populate a dashboard. It’s answer three questions that drive renewal and expansion revenue.

Which features predict renewal? Split your accounts by renewed vs. churned, then compare feature adoption across both. Features with high usage among renewed accounts and low usage among churned ones are your retention drivers. This matters more than ever: with private SaaS median net dollar retention sitting near 101% according to KBCM and Sapphire, companies can’t grow on new logos alone.

Where do users fall out of onboarding? Map your activation funnel and cross-reference drop-off points with accounts that later churned. That link turns funnel data into an early-warning system. Onboarding friction is now a leading churn indicator, not a UX nice-to-have.

Which accounts are ready to buy more? Look for broad feature adoption, rising usage velocity, or a growing number of active users per account. These patterns flag expansion readiness and trigger CS outreach or upsell plays. Past roughly $10M ARR, expansion typically outpaces new logos as the primary growth lever.

Use these three workflows as your shortlist criteria when evaluating any tool.

The 10 Product Analytics Tools at a Glance

The table below covers 10 platforms across pricing, capabilities, and best-fit use case. Each column reflects a real cost driver, deployment trade-off, or capability gap. The Best-Fit Use Case column maps each tool to a business outcome instead of a feature list.

Tool	Pricing Model	Free Tier	Auto-Capture	Session Replay	In-App Guidance	Compliance	Best-Fit Use Case
Gainsight PX	Custom (contact sales)	No	Yes	Yes	Yes	SOC 2, GDPR	Adoption tracking tied to CS health scores
Amplitude	MTU-based	10K MTUs, 2M events	No	Yes (all tiers)	Add-on (Guides & Surveys)	SOC 2, GDPR	Deep behavioral segmentation
Mixpanel	Event-based	1M events/mo, 10K replays	Limited (web)	Yes (all tiers)	No	SOC 2, GDPR, HIPAA (Enterprise)	Conversion and retention experimentation
Heap	Custom session-based	Up to 10K sessions/mo	Yes	Add-on (Pro+)	No	SOC 2, GDPR	Fast, no-code adoption tracking
PostHog	Usage-based	1M events + 5K recordings/mo	Yes	Yes	No	SOC 2, GDPR	Open-source developer toolkit
FullStory	Custom (all tiers)	No	Yes	Yes	Add-on (Guides & Surveys)	SOC 2, GDPR	UX friction and drop-off diagnosis
Pendo	Usage-tiered	Up to 500 MAU	Yes (tag-based)	Yes (Core/Ultimate)	Yes	SOC 2, GDPR, HIPAA	B2B adoption tracking with in-app engagement
Google Analytics 4	Free or ~$50K/yr (360)	Yes (full)	Yes	No	No	SOC 2, GDPR	Pre-PMF acquisition funnels
Userpilot	MAU-based, from $299/mo	No	Yes (Growth+)	Add-on	Yes	SOC 2 Type 2, GDPR, HIPAA	Onboarding flows with basic analytics
June.so	Custom	No	Yes	No	No	GDPR	B2B SaaS retention at $1M+ ARR

Tool-by-Tool Breakdown

Gainsight PX

Gainsight PX is a product experience platform that pairs auto-capture analytics with no-code in-app engagements. It’s built to feed usage data into customer success workflows.

• Auto-capture product analytics with no manual tagging
• No-code in-app engagements: walkthroughs, tooltips, checklists, banners, surveys
• In-App Hub knowledge center (formerly KC Bot) for self-service support
• Web, mobile, and desktop platform support
• PX analytics feed natively into Gainsight CS health scores for unified adoption-to-retention visibility

Pricing is usage-tiered and custom (contact sales).

Best for: B2B SaaS teams at scale that need product analytics connected to CS health scores and want to close the loop from usage insight to in-app action without engineering tickets.

Closest alternative: Pendo (similar bundled platform without the native CS health score integration).

Amplitude

Amplitude is a behavioral analytics platform built for complex journey mapping and cross-platform tracking. Data-heavy teams use it to slice user behavior across segments, channels, and time windows and trace patterns across touchpoints.

• Advanced funnel analysis and pathfinder for multi-step journey mapping
• Amplitude Guides and Surveys for in-app engagement
• Warehouse-native architecture that connects to large datasets

Amplitude’s free Starter plan covers 10K MTUs and 2M events with session replay, unlimited feature flags, and web experimentation included. Plus starts at $49 per month annually (around $0.049 per MTU) and covers up to 300K MTUs or 25M events. Growth and Enterprise require custom pricing. Startups with under $10M in funding and fewer than 20 employees can apply for one free year on the Growth plan.

Best for: product teams with deep analytical needs and the engineering bandwidth to maintain manual event setup.

Closest alternative: Mixpanel (similar depth, event-based pricing instead of MTU-based).

Mixpanel

Mixpanel is an event-driven analytics platform built around conversion, retention, and experimentation. Its interface makes it easy to build reports and run tests without heavy setup.

• Interactive funnel and retention reports with real-time updates
• Session replay bundled on every tier, scalable up to 500K replays per month
• Spark AI query builder for natural language analytics
• Group analytics for B2B account-level analysis
• Feature flags and experimentation available as Enterprise add-ons

Mixpanel Free covers 1M events per month with 10K session replays. Growth starts at $0 and scales at $0.28 per 1K additional events, with up to 500K replays available. Enterprise is custom. Startups under five years old with up to $8M in funding can get one free year on the Startup plan. HIPAA compliance tools are available on Enterprise.

Best for: growth-stage teams running A/B tests and conversion experiments that want precise event control without enterprise complexity.

Closest alternative: Amplitude (similar feature depth, MTU-based pricing instead of event-based).

Heap

Heap takes a different approach: it records every user interaction on its own, with no manual tagging required.

• Retroactive analytics, so you can define and analyze events after the fact
• Auto-capture of clicks, taps, swipes, and form submissions
• Session replay available as a paid add-on on Pro and Premier tiers
• Funnel and path analysis with no-code setup

Heap has four tiers:

• Free: Up to 10K monthly sessions, 6 months of data history
• Growth: Adds 12 months of history and an AI assistant; requires installing the snippet for a quote
• Pro: Adds account analytics and the engagement matrix; custom session pricing
• Premier: Adds data warehouse integration and a dedicated CSM; custom session pricing

Session replay is a paid add-on on Pro and Premier, not bundled. Heap is now owned by Contentsquare.

Best for: teams that need to start analyzing right away without waiting on engineering to set up events. 

Closest alternative: PostHog (auto-capture plus session replay, with self-hosting and transparent pricing).

PostHog

PostHog is an open-source product analytics suite. It bundles analytics, session replay, feature flags, A/B testing, and surveys into one self-hostable platform. Developers built it for developers who want full control over their data and toolchain.

• Self-hostable for complete data ownership
• Session replay with console logs and network activity
• Built-in feature flags and experimentation framework

Pricing is usage-based with clear per-event and per-recording rates. The free tier includes 1M events, 5K session recordings, and 1M feature flag requests per month, but limits you to 1 project and 1-year data retention. Pay-as-you-go expands to 6 projects and 7-year retention.

Best for: technical teams and startups that want a single open-source platform they own end to end.

Closest alternative: Heap (similar auto-capture model, hosted only, less bundled tooling).

FullStory

FullStory centers on digital experience intelligence. Its strength is high-fidelity session replay and the ability to detect frustration signals that numbers alone can’t reveal.

• Pixel-perfect session replay with full visual fidelity
• Frustration signals: rage clicks, dead clicks, error clicks
• Auto-captured event data with retroactive search
• Heatmaps and click maps for visual analysis
• Guides and Surveys available as an add-on for in-app engagement

FullStory offers three plans (Business, Advanced, Enterprise) with custom pricing across all tiers. No public free tier. Add-ons include Mobile analytics, StoryAI, Guides and Surveys, and Multi-Org Management. Each add-on is priced separately.

Best for: UX and product teams focused on diagnosing experience friction and usability problems. 

Closest alternative: Heap (replay plus analytics in one platform, less depth on frustration signals).

Pendo

Pendo combines product analytics with in-app guidance and feedback collection in a single platform. It’s designed for product-led B2B teams that want to measure adoption and act on it without switching tools.

• Retroactive analytics with tag-based auto-capture (no code changes)
• In-app guidance: walkthroughs, tooltips, and banners
• Product feedback collection and roadmap ranking
• Pendo Listen for AI-powered feedback analysis

Pendo Free covers up to 500 MAU and includes product analytics, in-app guides, and NPS. Paid tiers (Base, Core, Ultimate) use custom MAU-based pricing. Core is the most popular tier and adds session replay. Ultimate adds Orchestrate, Listen, and Data Sync. HIPAA compliance is built into every plan. Leo, Pendo’s natural-language AI assistant, is included across all tiers.

Best for: product-led B2B teams that need analytics and in-app engagement in one place and want to centralize feature request management.

Closest alternative: Gainsight PX (similar bundled analytics-plus-guidance, tighter integration with customer success workflows).

Google Analytics 4

GA4 is Google’s free analytics platform, built mainly for web and app marketing analytics. It handles acquisition funnels and cross-platform tracking well. But its in-product behavioral depth is limited compared to dedicated product analytics software.

• Free for everyone
• Cross-platform web and app tracking
• Native integration with Google Ads and BigQuery
• Basic event tracking and funnel reporting

Standard GA4 is free for everyone. GA4 360 for enterprise typically starts around $50,000 per year and adds higher data limits, BigQuery integration, and SLAs.

Best for: pre-PMF startups or marketing teams tracking acquisition funnels. Not a replacement for dedicated product analytics once you need feature-level adoption data.

Closest alternative: PostHog free tier (covers acquisition basics and adds product analytics depth GA4 lacks).

Userpilot

Userpilot is a product growth platform focused mainly on in-app guidance, including onboarding flows, tooltips, and checklists. Analytics is a secondary function.

• In-app onboarding flows, tooltips, checklists, banners, and resource centers
• No-code experience builder
• Event autocapture on Growth and Enterprise tiers
• A/B testing and localization for in-app messaging
• Session replay available as a paid add-on

Userpilot Starter is $299 per month (annual) for up to 2,000 MAU with NPS, basic analytics, and in-app engagement. Growth and Enterprise tiers use custom pricing and add advanced analytics, event autocapture, and mobile engagement (add-on). SOC 2 Type 2, HIPAA, and GDPR compliance are included across all tiers.

Best for: teams whose top goal is user onboarding, not deep behavioral analysis.

Closest alternative: Pendo (deeper analytics alongside in-app guidance, higher price point).

June.so

June.so is a B2B SaaS analytics tool focused on company-level analytics and retention. It auto-generates dashboards and connects directly to Salesforce, HubSpot, and Attio. The team positions June as a fit for companies past $1M ARR, not early-stage startups.

• Company-level analytics for B2B workflows
• Native Salesforce, HubSpot, and Attio integrations
• Custom insights with SQL and AI
• Computed traits for behavioral segmentation
• 1:1 implementation support

Pricing is custom (all-in-one plan with free trial). Setup fees vary based on implementation complexity. June’s own positioning recommends a cheaper solution if you’re earlier than $1M ARR or if your product is set-and-forget.

Best for: B2B SaaS teams past $1M ARR that want company-level retention analytics tied directly to CRM.

Closest alternative: Mixpanel with group analytics (deeper feature set, less B2B-specific positioning).

Pricing Models Explained

The same usage pattern can produce wildly different invoices depending on the pricing model. Five models dominate the category:

• Event-based (Mixpanel): You pay per tracked event. Costs stay low when event density is low. Watch for products that fire dozens of events per user session.
• MTU-based (Amplitude): You pay per monthly tracked user. User count is easy to predict. Watch for anonymous users that count as MTUs until merged, which inflates costs.
• MAU-based (Userpilot, Pendo): You pay per monthly active user. Predictable if your user count is stable. Watch for rapid user growth, since costs scale linearly with users regardless of data volume.
• Session-based (FullStory, Heap): You pay per recorded session. Costs track with traffic volume, not event complexity. Watch for products where users return multiple times per day.
• Usage-based per product (PostHog): Each capability is priced independently. Maximum flexibility, but you have to model each product separately. Watch for the bundle math working out worse than a single integrated platform at scale.

Pricing at Each Stage

If you’re an early-stage startup under 10K MAU, most tools are free or nearly free. PostHog’s free tier covers 1M events plus 5K session recordings per month. Mixpanel’s covers 1M events with 10K replays. Amplitude’s free Starter plan covers 10K MTUs and 2M events with session replay and feature flags included. GA4 costs nothing. At this stage, the most budget-friendly product analytics software is whichever one you can deploy without engineering overhead. Speed matters more than cost.

At growth stage, say 50K MAU with around 100 events per user per month (5M events total), the math diverges fast. Mixpanel Growth charges $0.28 per 1K events beyond the first 1M, so 5M events runs you roughly $1,120 per month. Amplitude at 50K MTUs sits above the Plus plan ceiling (which caps at 25M events) and pushes you into Growth, which is custom pricing. Userpilot Starter starts at $299/month but only covers 2K MAU, so a 50K MAU team is on Growth tier (also custom).

Enterprise contracts with compliance needs mean custom pricing is hard to avoid. Budget for SOC 2 attestation, data residency options, SSO, and dedicated support. Expect $30K to $100K or more per year depending on MAU, feature tier, and compliance add-ons. At this level, negotiate annual contracts and ask for usage-based scaling caps to guard against surprise overages.

Across stages, two patterns hold. Event-heavy products favor MTU-based or MAU-based pricing. User-heavy products with light per-user activity favor event-based.

Don’t Skip the Pricing Math Before You Commit

Some analytics tools are better suited to support large enterprises, while others are better suited to younger companies. Before you commit, get clear on what drives the bill. Common licensing dimensions include:

• User-based metrics (seats, MAUs, MTUs)
• Data volume (events, sessions, recordings)
• Feature tiers or separate product modules
• Add-ons (session replay, in-app guidance, compliance modules)

Do the math to estimate the cost of an enterprise-wide deployment before you invest the time to instrument your product. Check the vendor’s references of large enterprises that have scaled the product to support their needs. Watch especially for add-ons that look optional on the pricing page but are required for your actual use case.

From Insight to In-App Action: The Capability Most Buyers Overlook

Knowing that feature adoption is low or that users are dropping out of onboarding is only useful if your team can respond fast. When acting on that insight requires a separate tool, an engineering handoff, or a spot in next quarter’s sprint backlog, the data goes stale before anything changes.

The gains from closing this loop compound quickly. Teams ship onboarding fixes in days instead of sprints. Support tickets drop because contextual in-app help reaches users before they get stuck. Activation rates climb because targeted walkthroughs find the right users at the right moment. Without that loop, the same insights sit in dashboards while users churn.

Three platforms bundle this natively: Gainsight PX, Pendo, and Userpilot. Each one lets you segment users by behavior and deploy targeted walkthroughs, tooltips, or checklists without writing code or filing an engineering ticket. Amplitude and FullStory sell in-app guidance as a paid add-on (Guides and Surveys), which means you can build the same workflow but you’re stacking line items and managing the integration. Mixpanel, Heap, PostHog, and June.so all require a separate engagement or digital adoption tool to act on what they surface. That’s not a flaw. It’s a design choice. But if the gap between insight and action is your team’s biggest barrier, native bundling beats add-ons, and add-ons beat stitching tools together.

How to Choose the Right Product Analytics Platform for Your Team

Four practical questions narrow your shortlist fast: How will events get captured? Is session replay bundled or separate? Which compliance certifications are non-negotiable? And which team type does the tool actually serve? Run them in roughly that order. Compliance often eliminates options before pricing does, and the auto-capture decision shapes how much engineering time you’ll spend in year one.

Compliance and Data Governance

Four certifications belong on your checklist: SOC 2, GDPR, CCPA, and HIPAA. If you serve EU customers, GDPR posture and data residency options aren’t optional. EU DPAs issued over €1.2 billion in fines in 2024, according to the EDPB Annual Report.

On the HIPAA side, HHS OCR’s March 2024 guidance clarified that session replay scripts recording user activities can apply to HIPAA when PHI is involved. Regulated entities must ensure tracking vendors have signed a Business Associate Agreement (BAA). If you handle PHI, self-hosting (PostHog) or HIPAA-certified vendor-managed platforms are your options. For GDPR, confirm data residency, consent management, and whether the vendor’s SOC 2 Type II report covers your specific deployment.

Auto-Capture vs. Manual Event Tracking

This is a staffing choice as much as a feature decision. Auto-capture platforms like Heap and Gainsight PX deploy faster, collect retroactive data you didn’t plan for, and keep your engineering team out of the setup process. Manual tagging with Mixpanel or Amplitude gives you tighter control over event rules and cleaner data models. Both have added some auto-capture for web, but the bulk of their event model still favors deliberate instrumentation. Every new event still means an engineering ticket.

That cost is real. Developers reported spending more than 57% of their time firefighting performance issues in a 2024 Cisco survey. If your engineering team is stretched and you need answers within days, auto-capture is the faster path. Teams with dedicated analytics engineering and a need for precise data governance will get more control from manual tagging.

Session Replay: Bundled or Separate?

Session replay gives you visual playback of each user session. You see exactly where someone paused, rage-clicked, or left a workflow. It turns drop-off numbers into a clear picture of why users leave.

Session replay is now bundled on most major platforms. Amplitude, Mixpanel, PostHog, FullStory, and Gainsight PX include it on their standard or free tiers. Pendo bundles it on Core and Ultimate. Heap and Userpilot treat it as a paid add-on. GA4 doesn’t offer it.

If you’re choosing between platforms in 2026, the question isn’t “does it have replay?” but “how many recordings does the free or starter tier include?” Replay volume caps are where the real cost differences show up. PostHog gives you 5K free recordings per month. Mixpanel gives you 10K. Amplitude bundles replay across all tiers without volume specifics published. Heap and Userpilot bill replay separately, which adds up fast at scale.

Recommendations by Team Type

• Non-technical product teams: Heap or Pendo. Auto-capture and visual interfaces mean you don’t need engineering for everyday analysis.
• Technical or data engineering teams: Amplitude or PostHog. Manual tagging and warehouse-native architecture give full control over data models.
• Startup founders (pre-PMF): GA4 or PostHog free tier. Zero cost, fast setup, enough depth to validate early ideas.
• B2B SaaS product and CS leaders: Gainsight PX or Pendo. Analytics connected to in-app guidance and (for Gainsight PX) CS health scores let your team act on usage data the day it surfaces, not next sprint.

Use these team-type recommendations alongside your compliance and pricing-model decisions to narrow to a shortlist of two or three platforms.

When to Switch Tools: A Lifecycle Guide by Company Stage

Most teams move through three distinct product analytics stages as they grow:

• Pre-PMF (under 10K MAU): GA4 or PostHog free tier. You’re figuring out whether anyone uses the product at all. PostHog bundles analytics, session replay, and feature flags free. Amplitude’s free Starter plan is a third option with a more polished interface.
• Post-PMF growth (10K to 100K MAU): Mixpanel or Amplitude. You need deeper funnel analysis, cohort retention, experimentation, and session replay, all of which both platforms now bundle. This is the stage where GA4’s in-product limits become obvious and event-level detail becomes essential. It’s also where the event-based vs MTU-based pricing decision starts mattering, so run the numbers on your event-to-user ratio before committing.
• Scale-up B2B SaaS (100K+ MAU or enterprise accounts): Pendo or Gainsight PX. You need analytics connected to in-app guidance, CS workflows, and compliance infrastructure. The tool must support account-level segmentation, not just individual users.

Four signals tell you it’s time to migrate:

1. You’re manually tagging every new event and it’s eating engineering sprints.
2. Your bill has scaled past $1,500 per month but you’re still on a startup-tier plan with limited support.
3. You can’t segment by account or connect usage data to renewal outcomes.
4. Your compliance team is requesting certifications your current tool doesn’t carry.

Most platforms support data export, but historical event data rarely transfers cleanly between tools because event schemas and taxonomies differ. Plan for a 2 to 4 week parallel-run period where both platforms capture data at the same time. Budget time to remap events in the new system.

The switching cost is real but manageable when you scope it as a project, not an afterthought. Staying on a tool you’ve outgrown costs more in missed retention and expansion insights than any migration ever will.

Common Mistakes to Avoid

Avoiding common mistakes can save you time and money. Here are three to check off your list.

Bottom-Up Instrumentation

If done haphazardly, instrumenting page views, clicks, and feature interactions can take weeks or months. Instead, start with the end goal and use a top-down approach when planning instrumentation. For example, identify a business problem, such as improving self-service onboarding. Then isolate the user journey within five minutes of sign-up, and concentrate only on the features found along that path.

Some auto-capture tools simplify this with AI-driven page mapping. Gainsight PX’s Product Mapper is one example, using AI to instrument pages in a hierarchical tree model.

Mixing Staging and Production

Always separate the implementation of product analytics in production and non-production environments. If you don’t, events triggered during testing can skew the metrics that track actual customer behavior. Set up clear environment flags and confirm they’re working before any new release.

Skipping the Pricing Plan Audit

Vendor pricing pages rarely tell the full story. Run your actual event volume, MTU count, or session count through each vendor’s pricing calculator before signing. Ask for an annual contract with usage caps to prevent overage surprises, especially for event-based and session-based pricing models.

Choose Your Product Analytics Tool with Gainsight PX

By now you have a clear framework for judging product analytics platforms against the retention and expansion outcomes you own, not feature checklists. Ask whether a tool helps you close the loop from usage insight to in-app action. Then ask whether it connects product data to the workflows your CS, product, and revenue teams actually use.

Gainsight PX bridges that gap by pairing auto-capture product analytics with no-code in-app guidance. Usage data feeds directly into CS health scores. Every account gets consistent adoption support without engineering tickets. Your CS and sales teams see which features drive retention with data they can act on in real time.

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FAQs About Product Analytics Tools

What is the best product analytics platform for web services?

The best platform depends on your audience. For consumer or PLG web apps, Mixpanel or Heap deliver fast funnel analysis and conversion tracking. For B2B web services, Pendo or Gainsight PX provide account-level segmentation and feature adoption analytics that connect to customer success workflows.

Can I switch product analytics tools without losing historical data?

Most platforms support data export. But historical event data rarely transfers cleanly because event schemas and taxonomy models differ. Plan a 2 to 4 week parallel-run period where both tools capture events at the same time. Budget time to re-tag or remap events in the new platform.

Do I need HIPAA compliance for product analytics if I handle PHI?

Yes. If your analytics or session replay scripts touch PHI, HIPAA applies and your vendor needs a signed Business Associate Agreement (BAA). Self-hosting with PostHog or HIPAA-certified platforms with signed BAAs are your compliant options.

Do I need session replay alongside product analytics?

Session replay isn’t required, but it shortens the path from “users are dropping off here” to “here’s why.” Most major platforms now bundle replay natively (Gainsight PX, Amplitude, Mixpanel, PostHog, and FullStory). Pendo bundles it on Core and Ultimate tiers. Heap and Userpilot treat it as a paid add-on. GA4 doesn’t offer it. If you’re choosing a new tool in 2026, native replay is essentially table stakes. The real question is how many free recordings the tier includes.