Table 10 User characteristics in a fictitious two-sided dating market
From: Network effects in two-sided markets: why a 50/50 user split is not necessarily revenue optimal
Variable name | Description | Group 1: men (m) | Group 2: women (w) |
|---|---|---|---|
Prob m /prob w | Basic probability to become a paying user | 6 % | 2 % |
Fee m /fee w | Avg. fee per paying user | €100 | €100 |
CNE m /CNE w | Positive CNEs on other user group’s revenue per user | €0.02 | €0.06 |
SNE m /SNE w | Negative SNEs on same user group’s revenue per user | −€0.015 | −€0.01 |