Comparison 6 min read · · Last updated:
By Mark Ashworth · Founder, ChurnTools

How to Choose a SaaS Metrics Tool (2026 Guide)

Most SaaS teams overpay for metrics. The right tool depends on 4 things: billing system, scale, complexity, and team. Here's the framework.

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TLDR: Four questions determine the right SaaS metrics tool:

  1. Billing system: Stripe-only vs non-Stripe vs multi-system
  2. Revenue scale: Under $1M ARR vs $1M-$5M vs $5M+
  3. Complexity: Flat-rate vs multi-currency vs custom contracts
  4. Team capability: Founder-led vs data engineer available

Most SaaS teams overpay for metrics tools. ProfitWell's free tier covers what 80% of teams need. The case for paying $129/month is real but narrow — it's about specific use cases, not feature completeness.

Question 1: What's your billing system?

  • Stripe-only: ProfitWell free covers it. Don't pay yet.
  • Stripe-only but want polished UX: Baremetrics ($129/mo).
  • Chargebee, Recurly, or Braintree: ChartMogul ($129/mo). Best non-Stripe accuracy.
  • Multi-system (Stripe + others): ChartMogul.
  • Custom billing system: ChartMogul if you can wire it. Custom build otherwise.

See full breakdown at ProfitWell vs Baremetrics and Baremetrics vs ChartMogul.

Question 2: What's your revenue scale?

  • Under $500K ARR: ProfitWell free or Stripe Dashboard. Don't pay yet.
  • $500K-$5M ARR: ProfitWell free for most. Pay only for specific needs.
  • $5M-$25M ARR: Baremetrics, ChartMogul, or start building custom.
  • $25M+ ARR: Custom data stack (dbt + Snowflake + BI tool) typically wins.

Question 3: How complex is your billing?

  • Simple flat-rate, Stripe-only: ProfitWell or Baremetrics handle this perfectly.
  • Multi-currency: ChartMogul. Best multi-currency support in the category.
  • Frequent plan changes, prorations, refunds: ChartMogul edges out on edge case accuracy.
  • Custom enterprise contracts: ChartMogul or custom build.
  • Usage-based pricing: ChartMogul, or pull metrics from your billing platform (Chargebee) directly.

Question 4: What's your team capability?

  • Founder-led, no data engineer: ProfitWell or Baremetrics. Don't try to build custom.
  • One data analyst, no engineer: ProfitWell or Baremetrics. Custom builds need engineers.
  • Dedicated data engineer: Custom build on Snowflake + dbt becomes viable.
  • Full data team: Custom build outperforms any vendor tool. Build it.

Putting it together: matrix of picks

Your situationPickCost
Pure Stripe, under $5M ARR, basic needsProfitWellFree
Pure Stripe, want polished UXBaremetrics$129/mo
Chargebee or Recurly billingChartMogul$129/mo
Multi-currency SaaSChartMogul$129/mo
Mobile B2C subscriptionsRevenueCatFree under $10K MTR
$5M+ ARR with data engineerCustom (dbt + BI tool)Engineering time
Just need headline numbersStripe DashboardFree with Stripe

The upgrade triggers that justify paying

If you're on ProfitWell free and considering paying for Baremetrics or ChartMogul, the only three triggers that justify the spend:

  1. You spend 5+ hours/week in the tool. UX time savings compound for daily users.
  2. You need cohort analysis ProfitWell can't do well. Baremetrics is meaningfully better here.
  3. You have non-Stripe billing where ChartMogul's accuracy matters. Complex edge cases get more right.

If none of these apply, stay on ProfitWell. Paying for prettier dashboards isn't a real reason.

The custom-build threshold

Once you're past about $5M ARR and have a dedicated data engineer, building custom usually wins:

  • Stack: Stripe + Snowflake/BigQuery + dbt + Metabase or Looker
  • Time investment: 4-8 weeks for v1
  • Ongoing maintenance: ~10 hours/month
  • Benefits: Full control, custom segmentation, deeper accuracy on edge cases

Open-source dbt revenue models cover most of the heavy lifting. Don't reinvent MRR calculation from scratch.

What about the bundled retention products?

ProfitWell sells two paid add-ons: Recover (dunning) and Retain (engagement). Most teams should not buy these.

Keep ProfitWell free for metrics. Use specialists for the action layer.

Common mistakes to avoid

  • Paying for Baremetrics when ProfitWell free covers it. The $1500/year adds up for marginal benefit.
  • Using ChartMogul for simple Stripe SaaS. Overkill. ProfitWell or Baremetrics fit better.
  • Building custom too early. Below $5M ARR, ROI on engineering time is rarely positive.
  • Trusting vendor accuracy claims. Validate with your billing data. Edge cases trip up every tool.
  • Buying for the metrics tool's retention products. Specialists in dunning and CS beat bundled add-ons.

The decision process

  1. Day 1-2: Sign up for ProfitWell free. See if it covers your needs.
  2. Week 2-3: If not, trial Baremetrics and ChartMogul. Compare on your real data.
  3. Week 3: Decide based on the 4 questions above.
  4. If custom-build candidate: Engineering scoping work, then v1 build.

How I built this framework

I run ChurnTools and have helped 20+ SaaS teams pick metrics tools in 2025-2026. This framework comes from the patterns that consistently produce good outcomes.

Next steps

Frequently asked questions

What is the best free SaaS metrics tool?

ProfitWell (now Paddle). Core metrics product is genuinely free.

When should I upgrade from ProfitWell?

Three triggers: daily heavy usage, cohort analysis needs, non-Stripe billing accuracy.

Do I need a metrics tool if I have Stripe Dashboard?

For basic numbers, no. For cohorts, segmentation, forecasting, yes.

Can I build SaaS metrics in-house?

Over $5M ARR with a data engineer, yes. Below that, buy.

Should I use ProfitWell's paid retention products?

No. Churnkey beats Recover. Vitally beats Retain. Use specialists.

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Frequently asked questions

Answers to the questions I get most often about this topic.

What is the best free SaaS metrics tool?

ProfitWell (now part of Paddle) is the best free SaaS metrics tool. Its core metrics product is genuinely free and covers MRR, churn, LTV, cohort retention. For Stripe-based businesses, it covers 80% of what most teams need.

When should I upgrade from ProfitWell to a paid tool?

Three triggers justify paying $129/month for Baremetrics or ChartMogul: (1) you spend 5+ hours/week in your metrics tool and UX matters, (2) you need cohort analysis ProfitWell can't do well, (3) you have non-Stripe billing where ChartMogul's accuracy advantage matters.

Do I need a SaaS metrics tool if I have Stripe Dashboard?

Stripe Dashboard covers basic MRR, churn, and LTV. If that's all you need, you don't need a dedicated tool. If you need cohort analysis, segmentation, forecasting, or any non-Stripe data, dedicated tools start paying off.

Can I build SaaS metrics in-house instead of buying?

For teams over $5M ARR with dedicated data engineering, often yes. The standard stack: Stripe + Snowflake/BigQuery + dbt + Looker/Metabase. Open-source dbt revenue models get you most of the way. Below $5M ARR or without a data engineer, buying is cheaper.

What's the difference between Baremetrics and ChartMogul?

Baremetrics has cleaner UX and stronger cohort analysis. ChartMogul has better data accuracy for complex billing (multi-currency, non-Stripe, custom contracts) and stronger enterprise reporting. For simple Stripe SaaS, Baremetrics. For complex billing, ChartMogul.

Should I use ProfitWell's paid retention products?

Recover (dunning) and Retain (engagement) are fine but specialists do better. Churnkey beats Recover by 10-20% on recovery rates. Vitally or Custify beat Retain on CS depth. ProfitWell is excellent for free metrics, less so for paid retention products.

How accurate are SaaS metrics tools?

For simple Stripe-based SaaS, ProfitWell, Baremetrics, and ChartMogul are all accurate to within 1-2% on headline metrics. For complex billing (refunds, plan changes, prorations, multi-currency), ChartMogul is more accurate than ProfitWell or Baremetrics.
MA

Written by Mark Ashworth

Founder of ChurnTools. I spend my time studying how SaaS companies lose customers and building tools to help them stop. Previously worked in SaaS growth and retention across multiple B2B products.

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