The science of leads, step by step.
A data-driven methodology for lead generation: establish a baseline, develop the strategy, then apply controlled experiments and scale what works.
Each stage is measured against the last.
Standard methods
Where most campaigns are today: traffic in, leads out, and limited visibility into why some sources work and others don't.
Strategy development
Tracking is repaired, the funnel is mapped, and a ranked test plan replaces guesswork.
Applying the QS method
Continuous, controlled experiments across traffic, pages, and offers, with budget following the evidence.
What happens inside the method.
Observe
Audit the current funnel: sources, pages, tracking, compliance, and costs. Record the baseline numbers.
→ Baseline report
Instrument
Fix tracking so every click, lead, and sale is attributed to its source, placement, and creative.
→ Verified tracking
Hypothesize
Rank the biggest leaks and write a testable hypothesis for each, with a success metric.
→ Test backlog
Experiment
Run controlled tests one variable at a time, with enough data to make a call.
→ Test results
Scale
Shift budget to what wins and keep testing. Stop-loss rules protect against drift.
→ Scaling plan
The loop never really ends
Winning tests become the new baseline. Markets, platforms, and audiences change, so the method keeps running.
What makes a good test.
One variableChange the headline or the form, not both, so the result has a clear cause.
A success metric set in advanceCost per qualified lead, not just click-through rate.
Enough dataWe wait for a meaningful sample before calling a winner.
Quality checksA cheaper lead that never answers the phone is not a win.
DocumentationEvery test is logged, so learning compounds instead of getting lost.
The metrics that matter.
| Metric | What it tells you | Why we track it |
|---|---|---|
| Cost per lead | Ad spend divided by leads | The starting point, but never the only number |
| Contact rate | Share of leads you actually reach | Reveals bad data and weak consent fast |
| Cost per qualified lead | Spend divided by leads that meet agreed criteria | Aligns marketing with what sales values |
| Conversion rate by step | Where visitors drop out of the funnel | Points the test plan at the biggest leak |
| Earnings per click | Revenue divided by clicks | Compares offers and sources fairly |
| Return on ad spend | Revenue relative to ad spend | Decides where budget goes next |
Let's establish your baseline.
Every engagement starts the same way: measuring where you are today.