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Case Study

Commercial Analytics

Sales Funnel & Conversion

Where is conversion lost in the sales funnel, and which improvements should be prioritised?

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A complementary visual resource for a deeper view of the case.

Relevant industries

  • SaaS
  • Banking
  • Insurance
  • Telecom
  • Services
  • Retail

Approaches

  • Funnel
  • Cohorts
  • Journey Analytics
  • Experimentation

The business challenge

Which stages of the commercial process constrain conversion, for which segments and under what conditions?

A shared funnel locates friction and aligns teams. Without consistent definitions and maturation periods, rates can change because of customer mix.

Key business questions

  • What does progression mean at each stage?
  • Where do volume, time and value loss concentrate?
  • Which frictions can be addressed measurably?

Data & evidence

  • Events or states with timestamps.
  • Source, campaign, channel, product and segment.
  • Activity, time and loss reasons.
  • Revenue, margin and later quality.

How I would approach it

  1. Define population, stages and window.
  2. Validate instrumentation across systems.
  3. Analyse rates, times and paths by cohort.
  4. Prioritise bottlenecks by volume and value.

What you would get

  • Consistent funnel definition and view.
  • Conversion, time and loss by stage and cohort.
  • Bottleneck prioritisation.
  • Action and experimentation plan.

From analysis to action

Illustrative example: A drop does not identify its cause by itself. Channel differences may reflect selection and should be validated.

  • Simplify friction points.
  • Adjust prioritisation and follow-up.
  • Experiment at priority stages.

How success should be measured

  • Conversion and time by stage.
  • Value and margin per opportunity.
  • Incremental effect of changes.

Other approaches to consider

Funnels, path analysis, multi-state and survival models address linear processes or alternative paths.