Make the numbers
easier to trust.
Practical, source-backed explanations of revenue analytics. Published guides appear here; private drafts stay private.
Website analytics for SaaS: measure decisions, not dashboard noise
Build a practical SaaS measurement plan: acquisition, activation, verified payments and data quality, with a worked example and a weekly review template.
Read guide →Revenue attribution: connect website visits to payments
Learn how revenue attribution joins visits to verified payments, chooses a credit rule, and keeps missing sources, refunds and currencies honest.
Read guide →Direct vs Unattributed: why your revenue source is missing
Diagnose Direct visits and Unattributed payments separately. Use a practical decision tree without guessing sources or rewriting your history.
Read guide →A UTM naming convention a small SaaS team can actually keep
Build a practical UTM naming system with consistent sources, campaign examples, safe link testing and clear limits on revenue attribution.
Read guide →SaaS conversion funnels: count the same people in the right order
Define an ordered SaaS funnel, choose fair cohort windows and diagnose drop-offs without confusing event totals with customer conversion.
Read guide →Why your analytics revenue differs from Stripe—and how to reconcile it
Reconcile analytics with Stripe using payment IDs, refund states, consistent currencies and dates, without confusing receipts with payouts or MRR.
Read guide →MRR vs cash collected: what SaaS founders should report
Separate recurring run rate from cash collected, annual prepayments and lifetime deals, using a worked SaaS example and a simple reporting contract.
Read guide →Website analytics installation checklist: test the whole journey
Verify an analytics installation with browser requests, consent states, SPA navigation, deduplication and a separate authoritative payment check.
Read guide →Search Console vs web analytics: why clicks and visits differ
Reconcile Google Search clicks with website visits using scope, timezone, canonical pages and freshness—without inventing exact keyword revenue.
Read guide →How to measure AI referral traffic without counting bots as buyers
Separate AI-source visits, answer citations and crawler requests. Build an honest AI traffic report and connect eligible visits to verified outcomes.
Read guide →