Conversion funnel diagnostics
See stage-to-stage conversion rates, lost volume and evidence quality without reducing the whole funnel to one headline metric.
Conversion funnel analysis & CRO prioritisation
Analyze your conversion funnel and prioritize the highest-impact CRO opportunity
Map SaaS, ecommerce or lead-generation stages, diagnose conversion drop-off, compare modeled revenue impact and turn the priority bottleneck into a structured experiment plan — without presenting an analytical scenario as a guaranteed forecast.
Deterministic
The same structured input produces the same validated calculation state.
Private by design
No website URL, email or unrestricted business text is required for the free analysis.
Transparent evidence
Rate loss, volume loss and modeled revenue impact stay separate from business certainty.
Free workspace
Build one completed funnel period
Use the same measurement window and entity definition at every stage. Template selection adds labels only — never sample volumes.
- 01Structure
- 02Volumes
- 03Revenue
- 04Analyze
Results workspace
Your deterministic diagnosis will appear here
Complete the funnel and select Analyze funnel to see baseline KPIs, transition evidence and three separate diagnostic signals. No email, website URL or payment is required.
What the analysis shows
Find the funnel bottleneck worth investigating first
A conversion funnel can have a large drop-off without being the best commercial priority. This tool separates conversion loss, lost volume, evidence quality and modeled financial impact so you can compare CRO opportunities with a clearer decision framework.
Revenue-impact prioritisation
Compare modeled upside across transitions so CRO work can be prioritised by business impact, not only by the largest percentage drop-off.
Scenario simulation
Test targeted conversion improvements and inspect how a stronger transition could change final outcomes under explicit assumptions.
Experiment planning
Turn the selected bottleneck into business-specific hypotheses and a structured experiment brief, with an optional handoff to the A/B Test Calculator.
Deterministic method
Compare conversion drop-off and revenue impact without overstating certainty
The analysis uses the versioned calculation engine for every modeled number. Rate loss, volume loss, evidence quality and revenue impact remain separate so one metric is never presented as a universal bottleneck or a guaranteed business outcome.
- 01
Map the real journey
Choose a SaaS, ecommerce or lead-generation starting structure, then rename and reorder stages to match how your funnel is actually measured.
- 02
Keep one completed period
Enter whole-number volumes using the same dates and entity definitions across every stage so conversion rates and drop-off remain comparable.
- 03
Connect revenue and costs
Add average revenue per final outcome, with optional marketing spend and targets, to compare funnel opportunities against the baseline economics.
Built for different funnel models
Conversion funnel analysis for SaaS, ecommerce and lead generation
Start with a business-specific funnel structure, then edit the stages to match your actual measurement model. The same decision framework can be used for product-led SaaS, ecommerce checkout flows, lead-generation journeys or a custom funnel.
SaaS
Trial, activation and paid conversion
Analyze the path from visit or signup through activation and paid conversion to identify where a product-led or sales-assisted funnel deserves investigation first.
Ecommerce
Product view, cart and checkout
Compare product-page, add-to-cart, checkout and purchase transitions while keeping revenue impact separate from raw drop-off percentage.
Lead generation
Visit, lead and qualified pipeline
Map lead-generation stages from traffic through form completion, qualification or booked calls and prioritise the transition with the strongest modeled opportunity.
Decision-support scope
Use modeled revenue impact to prioritise investigation — not to promise a result
Inputs, scenarios and opportunity estimates are analytical assumptions. Actual conversion and revenue outcomes depend on implementation, measurement quality, traffic mix, customer behaviour and other business conditions. The experiment plan is designed to test the opportunity rather than treat the model as proof.
From the practice
Turn this funnel opportunity into a plan
Funnel Analysis identifies where conversion loss, evidence quality and modeled financial impact point to the strongest opportunity. CRO consulting turns that signal into research, a prioritized hypothesis and a credible validation plan.
Service
Explore CRO & Experimentation
Validate the bottleneck, connect it to qualified pipeline and turn the strongest finding into an evidence-led CRO roadmap.
Case study
Read: Growth Data Infrastructure & Funnel Economics Audit
See how measurement quality and funnel economics are connected before prioritising growth work.
Insight
Read: Conversion Funnel Audit Cost
Compare funnel, CRO and analytics audit scope before choosing professional support.
Need expert support? Turn the result into a scoped analytics, measurement, CRO or unit-economics workstream.
Discuss Your Funnel & Growth Priorities