Solution example · For SaaS and mobile apps
I turn payments, product events and crashes into metrics the whole team trusts — from the CEO to the engineers.
ExplainedChurn dropped after the onboarding tour launched: users reach their “aha” moment two days sooner.
SaaS & apps
Finance, product and marketing all calculate it differently and argue in meetings.
The user has already left, though the signals were in the data weeks earlier.
Nobody sees how much revenue a new Android bug is costing.
Solution example
A starting set of metrics for this industry. We finalise the list during the audit.
Solution example
«Are we growing or flat?»
A weekly MRR breakdown: new, expansion and churn.
«Where do users drop off during onboarding?»
Screen analytics: paths, a Sankey and exit points.
«What should we fix first?»
Top crashes with the number of users affected and platforms.
Headline KPIs compared with the previous period, plus trends.
DAU, sessions, sign-ups and audience activity.
User paths between app screens, a Sankey diagram and a screen table.
iOS / Android / web, device models and audience split.
Firebase Crashlytics: crash trend, top issues, platforms and affected users.
Answers questions about your metrics and explains changes in plain language.
Scenario
MRR came from a spreadsheet of Stripe exports, product looked at Mixpanel, engineers at Crashlytics. Monthly numbers never matched.
One model in BigQuery: MRR movements, cohorts by plan, and crashes weighted by the paying users they hit.
Typical effect: churn is visible 2–3 weeks earlier and bugs are prioritised by revenue.
A generalised scenario based on typical projects; impact depends on your data.
«Which cohort churns fastest?»
The March cohort on Basic churns fastest: 31% cancel before day 30. Cause: most never connected an integration. Recommendation: add an integration step to onboarding.
Daily digest
MRR: $48.2k (+5.3%)
⚠ 3 new crashes on Android 14
Typical sources:
Plans
Start with a micro-dashboard on your spreadsheets, a ready-made template for this industry, or analytics built entirely around your processes.
Lowest-cost start
A static report from your existing data and spreadsheets (Excel, Google Sheets, CSV or a database) — hosted on GitHub Pages or Vercel. A strong fit for entrepreneurs, sole traders and individuals.
A proven template for your industry, connected to your own data.
Reports, models and ongoing support built around your questions.
FAQ
Yes — I connect the GA4/Firebase BigQuery export and Crashlytics for your project.
I connect them per project via API — I’ll scope it on the first call.
Let’s discuss that as part of done-for-you analytics.
Tell me about your stack and I’ll show how it would look on your events.
Or reach me directly:
Open the demo →
