Analyzing 1,250 synthetic B2B SaaS leads to identify where pipeline value was being lost and which customer segments deserved greater acquisition focus.
Which customer profile represented the strongest growth opportunity? The analysis was designed to go beyond lead volume and identify the segments producing stronger conversion, larger deals, and greater revenue efficiency.
I compared company size, industry, and region to see which account profiles consistently produced stronger commercial outcomes.
I looked beyond raw lead counts and compared win rate, won ARR, average deal size, and ARR per lead.
I analyzed acquisition sources inside the strongest segments to understand where efficient pipeline was actually coming from.
I compared the proposed ICP against all other leads across the funnel before using it as the basis for GTM recommendations.
| Segment | Leads | Wins | Win rate | Won ARR | Avg deal | ARR / lead |
|---|---|---|---|---|---|---|
| Target ICP | 50 | 10 | 20.0% | €684k | €68.4k | €13,680 |
| Other | 1,200 | 95 | 7.9% | €3.195M | €33.6k | €2,663 |
The ICP represents only 4% of leads but generates about 18% of total won ARR and more than 5× the ARR per lead.
Elixir green = Target ICP · Gray = Other
| Source | ICP leads | Win rate | ARR / lead |
|---|---|---|---|
| Referral | 6 | 50.0% | €38,250 |
| Partners | 7 | 28.6% | €24,500 |
| Organic Search | 7 | 28.6% | €17,000 |
| Paid Search | 6 | 16.7% | €10,667 |
| Outbound | 10 | 20.0% | €10,000 |
| 8 | 0% | €0 | |
| Events | 6 | 0% | €0 |
These are directional signals because the ICP channel samples are small.
Synthetic data was used for portfolio and analytical practice. The project covers funnel conversion, ARR efficiency, lead-source performance, company size, industry, region, ICP development, and GTM recommendations.