Should you build or buy Subscription Analytics?
Subscription analytics software calculates MRR, ARR, churn, and lifetime value from billing data, then reports movement between plans so finance and growth teams can track a subscription business without building spreadsheets. Buyers are SaaS finance leads, RevOps staff, and founders who need trustworthy recurring-revenue numbers pulled straight from Stripe or another biller.
If you already have a warehouse and a data team, model subscription metrics in dbt from your billing data; if not, use Stripe's built-in analytics or a free tier before paying for a standalone tool, and buy a platform only for multi-source normalization or benchmarks you actually use.
Build it, buy it, or bridge?
When building makes sense
Building makes sense only if you already run a warehouse and a data team, and even then it is barely a build. Companies with Stripe data in BigQuery or Snowflake already run dbt models for MRR, churn, and cohort tracking in production, and Fivetran's maintained dbt_stripe package materializes 61 models to start from rather than a blank slate. The definitions are standard: Stripe's own documentation defines MRR to exclude taxes, free plans, and metered products, and every vendor uses the same movement categories. What you are really doing is skipping a subscription fee, not building something proprietary. Do this when your billing already lives in a warehouse and your team can maintain a handful of models. Do not do this to avoid paying $49 a month; use the free tier instead.
When buying makes sense
Buying makes the least sense of any B4 category right now, because the free tier already does the job. ChartMogul is free under $120K ARR, so most early-stage subscription businesses never need a paid plan. Stripe's own dashboard already reports MRR and churn without a second tool. The one reason to pay is multi-biller normalization or peer benchmarks you will actually use: ChartMogul pools data across 2,500-plus SaaS businesses and Baremetrics publishes open benchmarks from hundreds of companies to show percentile rank on churn and expansion, which a single company's warehouse cannot replicate. If you run Stripe plus Chargebee plus a legacy biller and need one clean number, a paid tier earns its keep. Otherwise a subscription for a chart you already get free is the risk this page is warning about.
The desk read
Build-versus-buy analysis for Subscription Analytics is being written. In the meantime, the framework that drives every B4 call is on the B4 Index page.
Frequently asked
Do I need to pay for subscription analytics?
No, not at first. ChartMogul is free under $120K ARR, and Stripe's own dashboard already reports MRR and churn. Pay only once you need multi-biller normalization or peer benchmarks that a single warehouse cannot produce on its own.
Can I build subscription analytics myself?
Yes, if you already have a warehouse and a data team. Fivetran's dbt_stripe package materializes 61 models over your Stripe data, covering MRR, churn, and invoice reporting, so the model layer is mostly assembly rather than invention.
What do the paid platforms actually add over a free tier or a warehouse build?
Connector breadth across multiple billing systems, peer benchmarks drawn from thousands of customers, and features like a built-in CRM or automated dunning. None of that changes the underlying MRR math, which is the same formula everywhere.
Which vendors are worth comparing?
Baremetrics, ChartMogul, Maxio, and Younium cover most needs, with Maxio and Younium adding billing and revenue-recognition features beyond plain analytics. ProfitWell Metrics, now folded into Paddle, is free and worth checking before paying for any of the others.