Sales Strategy · Fictional simulationSimulated case: improving B2B conversion without price cuts
How a hypothetical SME could increase monthly orders from 24 to 30 with the same proposal volume, without cutting prices.
1. Business challenge and objective
A hypothetical B2B equipment distributor prepares 120 qualified proposals a month. Only one in five becomes an order. Its sales team wants to improve needs discovery, response times and proposal follow-up without cutting list prices.
This simulation evaluates the potential effect of raising conversion from 20% to 25%, while keeping proposal volume, average order value and contribution margin unchanged. A scenario is not a guaranteed forecast.
2. Baseline data and assumptions
| Monthly metric | Baseline | Illustrative scenario |
|---|---|---|
| Qualified proposals | 120 | 120 |
| Conversion rate | 20% | 25% |
| Orders won | 24 | 30 |
| Average order value | €2,500 | €2,500 |
| Contribution margin | 32% | 32% |
| Monthly fixed costs | €14,000 | €14,000 |
Contribution is sales less variable costs, before fixed costs. We assume the operation can fulfil six extra orders without higher fixed costs, lower pricing or a change in average order value. A real business would need to test this assumption.
3. Reproducible calculations
Baseline conversion: 120 proposals × 20% = 24 orders. Scenario: 120 × 25% = 30 orders. Monthly sales would rise from €60,000 to €75,000, an arithmetical 25% increase if all assumptions hold.
Simplified operating surplus: €60,000 × 32% − €14,000 = €5,200; in the scenario, €75,000 × 32% − €14,000 = €10,000. The difference is +€4,800 per month, or approximately 92.3% above baseline. This is not EBITDA, net profit, an observed outcome or the measured impact of a real engagement. Implementation costs, taxes, depreciation and capacity changes are excluded.
4. Illustrative 90-day action plan
- Days 1–30 · Diagnose. Segment proposals by product, salesperson and lead source; review lost-deal reasons; validate the definition of a qualified proposal and the accuracy of CRM records.
- Days 31–60 · Controlled experiment. Test discovery questions, proposal structures, response targets and follow-up cadence with a defined group, without changing prices.
- Days 61–90 · Evaluate. Compare matched groups, conversion, contribution and sales-cycle duration; verify extra costs before considering broader adoption.
5. KPIs and decision criteria
| KPI | Baseline | Scenario |
|---|---|---|
| Qualified-proposal conversion | 20% | 25% |
| Monthly orders | 24 | 30 |
| Monthly revenue | €60,000 | €75,000 |
| Simplified monthly surplus | €5,200 | €10,000 |
In practice, additional indicators should include response times, sales-cycle length, proposal origin, returns, repeat orders and contribution by segment. Higher conversion creates value only if order economics and delivery capacity are protected.
6. Risks and limitations
If proposal volume falls, average order value changes, discounting is introduced or new staff are required, outcomes will differ. The six extra monthly orders might not materialise. Annualising an extra €4,800 per month without reviewing seasonality, capacity, churn, implementation costs and persistence would be inappropriate.
What this case illustrates: how to connect sales activity, conversion rates, contribution and management decisions. What it does not establish: results achieved by a business or evidence from actual customers.