Category

Metrics

What the numbers actually mean — conversion value, incrementality, UTMs, payback, ROAS.

Professional header image for step-by-step guide: How to Build a Conversion Funnel for a Vibe-Coded App Wit...
Metrics

How to Build a Conversion Funnel for a Vibe-Coded App With No Historical Data

Most funnel analysis assumes you already have baseline data. If you just launched a vibe-coded app, here is a two-week cold-start playbook that gives you a directionally accurate funnel view from day one.

Professional header image for educational tutorial: SaaS Metrics Dashboard: The Seven Numbers That Replace 47...
Metrics

SaaS Metrics Dashboard: The Seven Numbers That Replace 47 Reports

Most SaaS teams drown in reports while making slower decisions. This guide makes the hard argument for a seven-metric dashboard that is genuinely sufficient for every major growth call.

Professional header image for industry analysis: User Adoption Metrics for Vibe-Coded Apps: What to Track ...
Metrics

User Adoption Metrics for Vibe-Coded Apps: What to Track After Activation to Prevent Churn

Sign-ups and DAU tell you who showed up, not who stayed for a reason. This piece makes the case for three adoption metrics that actually predict retention in vibe-coded apps.

Professional header image for industry analysis: CAC Payback Period: The SaaS Metric That Reveals Whether ...
Metrics

CAC Payback Period: The SaaS Metric That Reveals Whether Growth Is Sustainable

Most SaaS teams calculate CAC payback period correctly and still get it wrong. Here is why a 12-month payback can be a warning sign, and what to pair it with to get the full picture.

Professional header image for industry analysis: SaaS Funnel Benchmarks by Growth Stage: What Good Looks L...
Metrics

SaaS Funnel Benchmarks by Growth Stage: What Good Looks Like at $1M, $5M, and $25M ARR

Generic funnel benchmarks mislead more than they inform. Here is a stage-stratified breakdown of what strong conversion rates, CAC payback, and trial-to-paid ratios actually look like at $1M, $5M, and $25M ARR.

Professional header image for list-based article: What to Put on a SaaS Marketing Dashboard (and What to Le...
Metrics

What to Put on a SaaS Marketing Dashboard (and What to Leave Off)

Most SaaS marketing dashboards are built by adding metrics until the chart is full. This guide argues for radical subtraction — keeping only what drives a real decision.

Professional header image for educational tutorial: UTM Parameters: The Complete Guide for SaaS Teams
Metrics

UTM Parameters: The Complete Guide for SaaS Teams

Most SaaS teams use UTM parameters inconsistently, and it's silently corrupting their attribution data. This guide covers everything from naming conventions to funnel-wide governance built for growth teams.

Professional header image for industry analysis: Conversion Optimization for SaaS: Benchmarks, Gaps, and W...
Metrics

Conversion Optimization for SaaS: Benchmarks, Gaps, and What Top Performers Do Differently

The average SaaS company converts at 1.5%. Elite performers hit 8–15%. This data-driven analysis breaks down exactly what separates them and where most teams are leaving ARR on the table.

Professional header image for industry analysis: The SaaS Conversion Optimizer: Why 68% of Companies Are O...
Metrics

The SaaS Conversion Optimizer: Why 68% of Companies Are Optimizing Blindly

Most SaaS companies are leaving serious ARR on the table because they optimize without visibility. Here is what separates the top 10% from everyone else, and how to close that gap.

Professional header image for industry analysis: Why Your SaaS Conversion Rate Is Half What It Should Be
Metrics

Why Your SaaS Conversion Rate Is Half What It Should Be

The median SaaS landing page converts at just 3.8% while elite companies hit 8-15%. The gap is not a design problem. It is a funnel visibility problem, and this analysis shows you how to close it.

Professional header image for industry analysis: Conversion Rate Optimisation for SaaS: Benchmarks, Gaps, ...
Metrics

Conversion Rate Optimisation for SaaS: Benchmarks, Gaps, and Why Most Teams Optimise the Wrong Thing

Most SaaS teams optimise what they can see and ignore what's actually killing conversions. Here's what the 2026 data reveals about the gap between average and elite performers.

Metrics

Performance analytics tools: pick a decision, not a dashboard

Metrics

Ad cannibalization: when your campaigns eat each other

Metrics

UTMs: the five query params that decide your channel

Metrics

Incrementality: the conversions that would have happened anyway

Metrics

Conversion value: what it actually means (and how to set it)