ORIGINAL ANALYTICAL MODEL · SIMULATED DATA

Why improving conversion may outperform generating more leads

By Revised edition published Professional profileOriginal first-publication date not documented.

Comparing two commercial interventions using a simple sales funnel.

Professionals reviewing business research and reports
Type of evidence: illustrative simulation

The figures are hypothetical and independently calculated. They do not represent a survey or actual client results.

Analytical question

Should an SME invest first in more leads or in better conversion of existing demand? The answer depends on acquisition costs, lead quality and the capacity of the sales team.

Scenario comparison

IndicatorBaselineAlternative
Leads received1 0001 000
Conversion8%11%
Closed sales80110
Average deal value1 500 €1 500 €
Estimated revenue120 000 €165 000 €

Swipe horizontally to view all columns.

Sales = Leads × Conversion rate

Assumptions

We model an annual funnel of 1,000 leads with an 8% conversion rate. Each sale has an average value of €1,500. We then assume conversion improves to 11%, holding lead volume and deal value constant. Incremental costs and margins are not modelled.

Calculations and findings

Initially, 1,000 × 8% generates 80 sales and €120,000 in revenue. At 11%, the same leads generate 110 sales and €165,000: 30 additional deals and €45,000 of potential revenue. Keeping conversion at 8% would require 1,375 leads to obtain 110 sales, or 375 more leads.

Interpretation

This comparison helps explain why funnel analysis may precede increased advertising spend. The practical challenge is identifying response-time delays, poor qualification, weak proposals and avoidable lost opportunities.

Recommended metrics

Track conversion by channel and funnel stage, time to first response, proposal win rate, deal value and acquisition cost. Use adequate sample sizes before drawing conclusions.

Limitations

The rise from 8% to 11% is an assumption, not a forecast. More sales do not automatically yield more profit; actual performance depends on margins, staff, operations and the cost of process improvements.