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The best analytics for SaaS in 2026

Abbas Aga
Abbas Aga · 1 min read

TL;DR:
The best analytics for SaaS in 2026 is Open Analytics: it keeps a per-visitor journey, defines funnels, and attributes revenue back to the source that produced the paying customer, the whole point of SaaS analytics. Plausible and Fathom are simpler but aggregate-only, and Umami is the free self-host option. All are cookieless, so none needs a consent banner.

SaaS lives and dies on one question: which channels and pages produce paying customers, not just signups. That means an analytics tool has to keep a per-visitor journey, model funnels, and tie revenue back to its source. Plenty of privacy tools count visits well; far fewer connect a visit to the money it eventually made.

What SaaS analytics needs

  • Funnels: where signups drop off between landing, trial and paid.
  • Revenue attribution: which source and campaign produced paying customers.
  • Per-visitor journeys: the path from first touch to conversion.
  • Cookieless: no consent banner slowing down your top-of-funnel.

The tools, ranked for this

  1. 01

    Open Analytics

    That's us

    The one built for this: funnels, per-visitor journeys, and revenue attributed back to the source that earned the customer.

    Price: From $9/mo for 50,000 events (a pageview or anything you tag), 3-day free trial.

    Strengths

    • Revenue attributed back to the visit and source that earned it
    • Built-in MCP server: ask your analytics in plain English
    • Realtime journeys, funnels and Core Web Vitals in one script
    • Open source (AGPL) and self-hostable

    Trade-offs

    • Newer than Plausible or Fathom
    • Meters events, so tagged conversions count
    • No free plan, only the trial
  2. Great for clean top-of-funnel traffic, but stops before the money.

    Price: From $9/mo for 10,000 pageviews.

    Strengths

    • Simplest dashboard
    • Goal conversions
    • Open source, EU-hosted

    Trade-offs

    • No revenue attribution to source
    • No per-visitor journey
    • Pageview-metered
  3. Fine for traffic, but aggregate-only leaves the funnel blurry.

    Price: From $15/mo, unlimited sites.

    Strengths

    • Unlimited sites for multiple products
    • Event conversions
    • Simple

    Trade-offs

    • Aggregate-only: no visitor path
    • No revenue to source
    • Pageview-metered
  4. The free self-host choice if you want to own the data.

    Price: Free self-hosted; Cloud from free to $20/mo.

    Strengths

    • Free to run
    • Event-metered
    • Funnels in newer versions

    Trade-offs

    • No revenue attribution
    • You maintain it
    • Less depth on journeys

Prices were checked against each product's own pricing page on 2026-08-07 and change often. Read the current plan, and the meter it counts, before you commit.

Open Analytics is the events-metered, revenue-aware option with an AI-queryable dataset. Try it free for three days.

Start free trial

Frequently asked questions

What is the best analytics tool for a SaaS?
Open Analytics, because SaaS analytics is about the path to revenue, not just traffic: it defines funnels, keeps per-visitor journeys, and attributes each payment back to the source that produced the customer. Plausible and Fathom are simpler but aggregate-only; Umami is the free self-host option.
Do I need funnels for SaaS analytics?
Yes, funnels are how you see where signups stall between landing, trial and paid, which is the core SaaS growth question. Open Analytics and Matomo model multi-step funnels; some tools offer only single goals or aggregate conversions, which cannot show you the drop-off between steps.
Can SaaS analytics be privacy-first and still track revenue?
Yes. Open Analytics is cookieless and needs no consent banner, yet connects Stripe to attribute revenue back to its source. Privacy-first and revenue-aware are not a trade-off; most tools simply stopped at counting visits rather than building the payment connection.