Best SaaS Analytics Tools for 2026

Short answer:

• Subscription revenue (MRR, churn, LTV): ChartMogul for the deepest pre-built metrics on mainstream billing systems, and Baremetrics for a simple Stripe dashboard with forecasting. Chartsy fits founders on Paddle, Polar.sh, Freemius, Creem.io or Lemon Squeezy. ProfitWell Metrics is the free option.
• Product analytics: Mixpanel or PostHog to start, Amplitude at enterprise scale, Pendo when onboarding guidance matters.
• Which channels bring paying customers: Chartsy for self-serve subscription businesses. Dreamdata or HockeyStack for sales-led B2B with a CRM.
• Web traffic: Google Analytics 4.

Prices in this guide were checked on each vendor's pricing page in October 2026. Where a vendor doesn't publish a price, we say so.

Disclosure: Chartsy is our product. It's listed first, with the same "Best for" and "Not ideal for" lines as every other tool.

A SaaS company generates data on three separate fronts:

• what visitors do on the marketing site
• what users do once they're in the product
• what happens to their subscription after they pay

Almost no team runs all three through one tool. This list covers 14 tools in three categories (subscription revenue, in-product behaviour, and acquisition and data infrastructure), each matched to the job it does best. If you only need the revenue side, see our deeper comparison of subscription analytics software.

Table of Contents

1. 1. Chartsy — The Easiest Way to Understand Your MRR
2. 2. Mixpanel — Event-Based Product Analytics for SaaS Teams
3. 3. Amplitude — User Journey and Behavioral Analysis
4. 4. PostHog — Open-Source Analytics with Session Replay and Feature Flags
5. 5. ChartMogul — Subscription Revenue Metrics and MRR Tracking
6. 6. Baremetrics — Stripe Revenue Analytics and Benchmarking
7. 7. ProfitWell Metrics: Free Subscription Analytics from Paddle
8. 8. Pendo — Product Adoption, Onboarding, and In-App Guidance
9. 9. Heap — Autocapture Analytics with No-Code Event Tracking
10. 10. Segment — Data Infrastructure and Customer Data Platform
11. 11. Google Analytics 4 — Web Traffic and Acquisition Tracking
12. 12. Kissmetrics — Person-Based Marketing Funnel Analytics
13. 13. Dreamdata: Multi-Touch Attribution for B2B SaaS
14. 14. HockeyStack: Deal-Level Attribution for B2B Go-to-Market Teams
15. Comparison Table
16. How to Choose the Right SaaS Analytics Tool for Your Stage
17. FAQ
18. Conclusion

How we evaluated these tools

We compared each tool on five points:

1. The job it does. Subscription revenue, in-product behaviour, attribution, or data infrastructure. A great tool in the wrong category answers the wrong questions.
2. Price at your stage. The published starting price and free tier, and what pricing scales with (events, users, sessions, MRR or ARR).
3. Setup. Whether it connects directly to your billing system or website, or needs instrumentation, a warehouse or a sales process first.
4. Data accuracy. For revenue tools, how MRR is calculated. For product tools, how much depends on a clean event taxonomy.
5. Revenue by marketing channel. Whether the tool can tell you which channels bring paying customers, not just visitors or signups.

1. Chartsy — The Easiest Way to Understand Your MRR

Best for: SaaS founders who want a clear MRR dashboard and to see which marketing channels bring paying customers, especially on Paddle or a merchant of record.

Chartsy is the revenue and growth dashboard built for SaaS founders. It connects to six billing providers:

• Stripe
• Paddle (Billing and Classic)
• Polar.sh
• Freemius
• Creem.io
• Lemon Squeezy

Your last 24 months of history sync automatically. Several accounts, even on different providers, add up to one MRR number.

It starts with the number that matters most: MRR and what moved it. Every month is broken down into new, expansion, contraction, churned and reactivated MRR. When revenue dips, you can see straight away whether it was a churn spike, a wave of downgrades or a slow month for new customers.

It also covers ARR, churn rate, LTV, NRR, ARPU, trial conversions, and plan and country breakdowns. Custom dashboards put the numbers you check every week on one screen. On Stripe and Paddle you can break charts down by your own customer and subscription metadata.

Add one script to your website and Chartsy follows each customer from first visit to signup to payment. That gives you revenue by marketing channel, campaign and referrer. Chartsy also has a read-only MCP server with 19 tools, so you can ask Claude, ChatGPT or Cursor about your revenue.

Pricing starts at $9/month on the Starter plan. It's priced on the website visits and signups you track, not on your revenue. There's a 14-day trial with no card required.

Not ideal for:

• Teams billing through Chargebee, Recurly, Braintree or the app stores
• Teams that need automated dunning, CRM-style customer profiles or a data-warehouse export
• Paddle Classic sellers who need revenue by channel
• In-app product behaviour such as funnels, session replay or feature adoption

2. Mixpanel — Event-Based Product Analytics for SaaS Teams

Best for: Product and growth teams that need fast funnel and retention analysis without SQL.

Mixpanel tracks what users do inside your product. It doesn't count pageviews or sessions. It records discrete actions such as "User completed onboarding," "User hit the upgrade screen" or "User cancelled subscription." It builds funnels, retention curves and cohort analyses from those events.

Its retention charts are particularly strong. You can put N-day, unbounded and custom retention windows side by side, and filter by user properties to see which cohorts actually stick.

The free plan covers 1M events a month. The Growth plan includes the first 1M events, then charges by volume.

Mixpanel stores events in its own system. If your source of truth is Snowflake or BigQuery, you'll need to pipe data in or out.

Not ideal for: Subscription revenue metrics like MRR and churn. Product teams usually pair it with a separate revenue tool.

3. Amplitude — User Journey and Behavioral Analysis

Best for: Companies with a dedicated analytics function that need deep journey analysis, built-in experimentation and enterprise governance.

Amplitude maps user journeys across web and mobile, runs A/B tests, and builds behavioural cohorts. Where it earns its spot over Mixpanel is depth. You can define a behavioural cohort, such as users who finished a specific onboarding step in their first session, and compare their 90-day retention with everyone else's. You can then run an experiment against the same metric.

The Free plan includes 2M events a month, with limits on saved charts, experiments and data history. The Plus plan includes the same first 2M events, and higher tiers are priced on request.

Its power comes with complexity. Setting it up properly takes time and a clear event taxonomy upfront. Teams that rush the instrumentation end up with dashboards they can't trust.

Not ideal for: Early-stage teams without someone to own the event taxonomy. Mixpanel or PostHog will cover most of what you need for less effort.

4. PostHog — Open-Source Analytics with Session Replay and Feature Flags

Best for: Technical, engineering-led SaaS teams that want analytics, session replay, feature flags and experiments in one platform they can self-host.

PostHog bundles event tracking, session replay, feature flags, A/B testing and surveys into one open-source platform.

Session replay is especially useful for finding where users get stuck. Replays include console logs, network activity and performance data, so you can find the cause of a drop-off without leaving the tool.

Pricing is usage-based, with a free monthly allowance for each product. You can also self-host PostHog, which keeps all user data on your own infrastructure. That matters for EU companies handling GDPR, but self-hosting at scale needs real DevOps time.

Not ideal for: Marketing teams that want a no-code tool, and anyone looking for subscription revenue metrics.

5. ChartMogul — Subscription Revenue Metrics and MRR Tracking

Best for: SaaS teams that want the most complete pre-built subscription metrics and bill through one or more mainstream billing systems.

ChartMogul is purpose-built for subscription revenue analytics. It imports from 30+ billing and payment systems, including:

• Stripe
• Paddle
• Chargebee
• Recurly
• Braintree
• App Store Connect

From that data it builds MRR, ARR, churn, expansion MRR, net revenue retention and LTV, with cohort segmentation and customer profiles.

Cohort-level revenue analysis is where it shines. You can compare churn by plan, see which signup cohorts produce the most durable revenue, and track expansion by segment. It also cleans up messy billing data such as refunds, failed payments and plan changes before calculating MRR.

Pricing:

• Free up to $10K MRR
• Starter from $69/month ($57 billed annually)
• Pro from $119/month ($99 billed annually)

Starter and Pro rise as your ARR grows.

Not ideal for:

• Merchant-of-record sellers on Polar.sh, Freemius, Creem.io or Lemon Squeezy. We found no native connector for any of them.
• Teams that want to see which marketing channels bring paying customers

6. Baremetrics — Stripe Revenue Analytics and Benchmarking

Best for: Stripe-first startups that want a polished, ready-made metrics dashboard with forecasting and optional dunning.

Connect Stripe and Baremetrics shows MRR, ARR, churn, LTV and customer counts within minutes. It also supports Braintree, Chargebee, Recurly, the app stores, Shopify and a Universal Connector.

Two things make it useful beyond basic metrics:

• Benchmarking compares your churn and growth with anonymised companies at similar revenue.
• Payment Recovery, a paid add-on, helps reduce involuntary churn from failed payments.

On monthly billing, plans run by ARR band: Launch $75/month, Growth $255/month and Scale $1,152/month. Payment Recovery and Cancellation Insights cost $129/month each on top.

Not ideal for:

• Teams on Paddle or a merchant of record. Paddle isn't listed among its integrations.
• Teams that don't want the bill to grow with ARR

See Chartsy vs Baremetrics for a direct comparison.

7. ProfitWell Metrics: Free Subscription Analytics from Paddle

Best for: Teams on Paddle Billing or Stripe Billing that want standard subscription metrics for free.

ProfitWell Metrics is now part of Paddle, and it's still free. It's included with Paddle Billing. It also reads from:

• Stripe Billing
• Chargebee
• Recurly
• Braintree
• Zuora
• Maxio
• Recharge
• a Transactions API

It covers MRR, churn, upgrades, downgrades, LTV and active customers. For a Paddle seller there's almost nothing to set up.

Two things to know:

• If you use Stripe only as a payment gateway, without Stripe Billing, Paddle's docs say you get retention and cash-flow metrics only.
• Free accounts unused for more than 12 months are deleted.

Not ideal for:

• Teams that want custom dashboards or to see which acquisition sources produced paying customers
• Sellers on a merchant of record other than Paddle

The Chartsy vs ProfitWell comparison covers the differences in detail.

8. Pendo — Product Adoption, Onboarding, and In-App Guidance

Best for: Product teams at growth-stage SaaS companies where onboarding and feature adoption are a known problem.

Pendo combines product analytics with in-app guides, onboarding walkthroughs and feedback collection. The goal is not just to measure what users do, but to guide them toward activation.

You can build onboarding checklists, feature announcements and contextual tooltips without code, and show them to the right segment at the right moment. That closes the loop between analytics (what aren't users discovering?) and product experience (show them).

Pendo also captures interactions retroactively, so you can analyse events you didn't instrument upfront.

The Free plan covers up to 500 monthly active users. Paid plans are priced on request and scale with MAUs.

Not ideal for: Early-stage teams with a few thousand users. PostHog or Mixpanel are more cost-effective until structured onboarding tooling pays for itself.

9. Heap — Autocapture Analytics with No-Code Event Tracking

Best for: Product teams that want retroactive analysis without a heavy upfront instrumentation project.

Heap records every interaction automatically: every click, tap, form submission and page view. You define events later by pointing at an element in the UI, and Heap fills in that event's history back to when capture started. Non-technical teammates can define events without filing tickets with engineering.

The free plan covers up to 10,000 sessions a month with six months of data history. Paid plans are priced by sessions, on quote.

Capturing everything creates large datasets, and there's no self-hosted option.

Not ideal for: High-traffic products watching cost, and teams with data-sovereignty requirements.

10. Segment — Data Infrastructure and Customer Data Platform

Best for: Teams already running several analytics and marketing tools that need one consistent event schema across all of them.

Segment is less an analytics tool than the plumbing that connects them. It collects event data from your product and routes it to downstream destinations such as:

• Mixpanel
• Google Analytics
• HubSpot
• your data warehouse

Its value is consistency. Rename an event once in Segment and every downstream tool gets the change. Without it, different teams instrument different tools differently, and the same event name ends up meaning different things.

The free plan covers 1,000 monthly tracked users and 2 sources. The Team plan starts at $120/month for 10,000 MTUs.

Not ideal for: Teams using one or two tools. It adds a layer you'll have to maintain, and it pays off only once inconsistent data across several destinations is a real cost.

11. Google Analytics 4 — Web Traffic and Acquisition Tracking

Best for: Marketing teams tracking where website visitors come from, how campaigns perform and top-of-funnel conversion.

GA4 is free, integrates with Google Ads, and is still the default for traffic and acquisition reporting. For SaaS it answers marketing questions well, such as which channels drive signups and how organic search converts compared with paid. It isn't built for what happens inside a logged-in product or to a subscription.

In the EU, GA4 needs careful configuration to be GDPR-compliant:

• Consent Mode v2 with a default-deny state
• a Data Processing Agreement
• appropriate data settings

Regulators have acted against improperly configured Google Analytics deployments.

Not ideal for:

• Product analytics inside your app
• Subscription revenue
• Tying a paying customer's MRR back to the channel that brought them, unless you send revenue events to GA4 yourself

12. Kissmetrics — Person-Based Marketing Funnel Analytics

Best for: Marketing teams that want person-level funnel and campaign-to-revenue tracking without a warehouse.

Kissmetrics ties every action to a specific person across sessions and devices. That makes it stronger than GA4 for following individual users through a marketing funnel over time.

Its revenue attribution is the main reason to choose it over GA4. You can tie campaigns to paying customers and see which channels produce users who convert and stay, not just users who sign up.

There's a free plan for 100,000 events a month and three seats. The Growth plan starts at $99/month for 500,000 events.

Not ideal for:

• Deep product analytics, where Mixpanel and Amplitude have moved ahead
• MRR and churn reporting, which dedicated subscription tools handle better

13. Dreamdata: Multi-Touch Attribution for B2B SaaS

Best for: Sales-led B2B SaaS teams with long buying cycles and account-based marketing.

Dreamdata maps account journeys across advertising, web activity, marketing automation and CRM systems. The unit of analysis is the account, not the person. The outcome is pipeline and revenue in the CRM.

Features include:

• multi-touch and AI-based attribution
• content and revenue analytics
• company identification
• cookieless tracking options
• export to BigQuery and Snowflake

There's a free plan. The Advanced plan is priced on request.

Account-level models only hold up if your CRM structure is already in place. Any attribution model assigns credit by its own rules, so treat the output as a guide to what to investigate, not proof that one channel caused a deal.

Not ideal for: Self-serve subscription businesses without a sales team or CRM pipeline.

14. HockeyStack: Deal-Level Attribution for B2B Go-to-Market Teams

Best for: Teams with an established CRM, a paid media programme and a sales process that need marketing and sales to agree on one performance story.

HockeyStack brings marketing, sales and product touchpoints into account-based attribution dashboards, with deal-level attribution and pipeline and ARR reporting. Pricing isn't public, so evaluation goes through a demo and a sales process.

It needs a solid data foundation. If CRM records are incomplete or account identities don't reconcile, it can't produce a reliable journey, however polished the dashboards look.

Not ideal for: Small self-serve SaaS teams asking which sources bring paying customers and MRR. A lighter tool is the better first step.

Pro Tip: Before picking any analytics tool, write down the three business questions you most need to answer right now. Then check whether each tool actually answers them natively, not whether it technically could with enough configuration.

Comparison Table

Tool	Category	Best for	Starting price (Oct 2026)	Free tier	Revenue by marketing channel
Chartsy	Subscription revenue	Founders on Stripe, Paddle or a merchant of record	$9/mo	14-day trial, no card	Yes, built in
Mixpanel	Product analytics	Funnels and retention without SQL	Growth plan includes first 1M events, then usage-based	1M events/mo	Not built in
Amplitude	Product analytics	Deep journeys and experiments at scale	Plus plan includes first 2M events, then usage-based	2M events/mo	Not built in
PostHog	Product analytics	Engineering-led teams, self-hosting	Usage-based	Monthly free allowance	Not built in
ChartMogul	Subscription revenue	Deepest pre-built subscription metrics	$69/mo	Up to $10K MRR	Not documented
Baremetrics	Subscription revenue	Stripe dashboard with forecasting	$75/mo (monthly billing)	Free trial	Not documented
ProfitWell Metrics	Subscription revenue	Free metrics on Paddle or Stripe Billing	Free	Free	No
Pendo	Product adoption	Onboarding and in-app guidance	On request	Up to 500 MAUs	Not built in
Heap	Product analytics	Retroactive, autocaptured events	On request	10K sessions/mo	Not built in
Segment	Data infrastructure	One event schema across many tools	$120/mo (Team)	1,000 MTUs, 2 sources	No
Google Analytics 4	Web analytics	Traffic and acquisition	Free	Free	Only with revenue events you send
Kissmetrics	Marketing analytics	Person-level funnels	$99/mo (Growth)	100K events/mo	Yes, from tracked revenue events
Dreamdata	B2B attribution	Account-based, CRM-linked attribution	On request	Free plan	Yes, CRM pipeline and revenue
HockeyStack	B2B attribution	Deal-level attribution for sales-led teams	Not public	No	Yes, CRM pipeline and revenue

How to Choose the Right SaaS Analytics Tool for Your Stage

The SaaS analytics market clusters into three groups:

• Subscription revenue: Chartsy, ChartMogul, Baremetrics, ProfitWell Metrics
• Product behaviour: Mixpanel, Amplitude, Pendo, Heap
• Infrastructure and acquisition: Segment, GA4, PostHog for self-hosted teams

Choosing the wrong cluster means you're answering the wrong questions.

Team / Stage	Primary Question	Best Starting Tool	When to Add a Second Tool
Founder, early-stage (Stripe, Paddle, Polar.sh, Freemius, Creem.io, Lemon Squeezy)	What's my MRR, what moved it, and what's my churn?	Chartsy	When product behavior questions outnumber revenue questions
Product team (any stage)	Where do users drop off in onboarding?	Mixpanel or PostHog	When you need A/B testing or in-app guidance (add Amplitude or Pendo)
Finance / RevOps	What's our net revenue retention by cohort?	ChartMogul or Chartsy	When you need to join revenue data with CRM pipeline
Growth / Marketing	Which channels produce paying customers?	Chartsy, or GA4 + Kissmetrics	When channel-to-revenue attribution requires a warehouse layer
Engineering-led team	Can we self-host and own the data?	PostHog	When you need subscription revenue tracking alongside product analytics
B2B sales-led team	Which touchpoints influence pipeline and closed deals?	Dreamdata or HockeyStack	When you need MRR and churn detail beyond what the CRM shows
Scale-stage company	How do all our data sources connect?	Segment as infrastructure	When BI reporting crosses CRM, product, and billing data

A few rules apply to any tool on this list:

• Check which limit you'll hit first on the free tier: event volume, MAUs or MRR.
• Settle GDPR and CCPA requirements before you instrument anything in production, especially for EU users.
• If you're planning the next stage of growth, SaaS founders often find SaaS mastermind onboarding checklists useful for seeing which metrics and tooling decisions matter at each stage.

Before committing, write down four decisions:

• Billing source: whether you rely on Stripe, Paddle Billing, Paddle Classic, or another system.
• Attribution rule: which tracked relationship gets credit for a customer, and what that rule can't prove.
• Required events: the signup, activation, upgrade, downgrade, cancellation, and payment events you need to trust.
• Reporting owner: the person responsible for maintaining definitions and reviewing anomalies.

Most early-stage SaaS companies need exactly two tools:

• One for subscription revenue: Chartsy, ChartMogul, Baremetrics or ProfitWell Metrics, depending on your billing provider
• One for product behaviour: Mixpanel or PostHog

Everything else comes later, when a specific gap makes the extra tool worth its cost.

Which Revenue Tools Work With Your Billing Platform

A revenue analytics tool is only useful if it connects natively to the platform you bill through, so check that first. For a full comparison of the revenue tools, see Best Subscription Analytics Software for SaaS.

• Stripe only: ChartMogul for depth, Baremetrics for a preset dashboard with forecasting, ProfitWell Metrics if you use Stripe Billing and want free, and Chartsy for revenue by marketing channel.
• Paddle: ProfitWell Metrics for zero setup. Chartsy for revenue by channel or for Paddle Classic. ChartMogul also imports Paddle.
• Polar.sh, Freemius, Creem.io or Lemon Squeezy: Chartsy connects to all four natively.
• Chargebee, Recurly or Braintree: ChartMogul, Baremetrics or ProfitWell Metrics.
• Pre-revenue or very early: Your payment provider's built-in dashboard is enough until you start asking questions it can't answer.

FAQ

What's the difference between product analytics and subscription analytics?

Product analytics tracks what users do inside your app. Subscription analytics tracks what your revenue does.

• Product analytics (Mixpanel, Amplitude, Heap) covers clicks, feature usage, onboarding steps and drop-off.
• Subscription analytics (Chartsy, ChartMogul, Baremetrics) covers MRR, churn, expansion, LTV and cohort retention.

Most SaaS companies need both, because they answer different questions from different data.

Is Google Analytics 4 good enough for SaaS?

Only for acquisition. GA4 is good at showing where visitors come from and how campaigns convert. It isn't built for product analytics inside a logged-in app or for subscription revenue metrics, so most SaaS teams pair it with a product or revenue tool. In the EU, it also needs careful GDPR configuration.

Can I track SaaS revenue metrics without a data warehouse?

Yes. Chartsy, ChartMogul, Baremetrics and ProfitWell Metrics connect directly to your billing platform and calculate MRR, churn, LTV and cohorts without a warehouse or SQL. You need a warehouse only when you want to join billing data with CRM pipeline, ad spend or product events.

How is SaaS MRR calculated accurately?

Accurate MRR uses the amounts actually billed for each subscription, normalized to a month. It also:

• excludes free trials, usage charges, prorations and one-time purchases
• applies discounts
• keeps past-due subscriptions while payment is retried
• removes a cancelled customer when their paid access ends

Tools that calculate from list prices or subscription state often overstate revenue. Check a tool's definitions before you use its numbers for investor reporting.

What SaaS analytics tool is best for a solo founder?

For revenue, Chartsy if you bill through Stripe, Paddle or a merchant of record, or ProfitWell Metrics if you want free and you're on Paddle or Stripe Billing. For product behaviour, PostHog, whose free allowance covers event tracking, session replay and feature flags without a team to maintain it.

Do I need to worry about GDPR when adding analytics to my SaaS product?

Yes, especially for EU users. Most client-side analytics tools collect IP addresses and use cookies, which need consent under GDPR. That means:

• a consent management platform
• a Data Processing Agreement with each vendor
• correct configuration, such as a default-deny consent state

Cookieless tools like Plausible avoid most of this but give you less detail.

How much should an early-stage SaaS company spend on analytics tools?

Very little at first. Mixpanel, Amplitude, PostHog and GA4 all have free tiers that cover most early teams. On the revenue side:

• ChartMogul is free under $10K MRR.
• ProfitWell Metrics is free.
• Chartsy starts at $9/month with a 14-day trial.

Start paying when the decisions you're making cost more to get wrong than the tool costs to run.

Conclusion

Pick by the question you need answered:

• What moved your MRR: a subscription revenue tool. Chartsy if you're on Paddle or a merchant of record or want revenue by channel. ChartMogul or Baremetrics for the deepest pre-built metrics on Stripe and mainstream billing systems. ProfitWell Metrics if free matters most.
• What users do in your product: Mixpanel or PostHog.
• Where visitors come from: GA4.

Start with one tool for each question you actually have, and add the next one when you hit a question it can't answer.