Benchmark boundary: Olatech does not publish a market average without a disclosed, comparable dataset. Use the definitions below to establish your own baseline, then compare cohorts with the same rules.
Use one metric contract
| Field | Required definition |
|---|
| Name and purpose | The operating question the metric answers |
| Formula | Numerator, denominator, exclusions, and unit |
| Window | Event time, reporting timezone, and cohort period |
| Segments | Program, phase, sport, market, source, geography, and account status where relevant |
| Owner | System of record, accountable team, validation cadence, and change history |
Acquisition and activation
- Qualified demo rate: qualified demos divided by eligible organic sessions.
- Purchase conversion: completed purchases divided by eligible checkout starts.
- Activation rate: accounts reaching the documented first-value event divided by eligible new accounts.
- Time to first value: median time from account creation to the first-value event.
Challenge and customer operations
- Phase progression: accounts entering the next phase divided by accounts eligible to complete the current phase.
- Breach rate: breached accounts divided by active eligible accounts, segmented by rule and phase.
- Support contact rate: accounts creating a support case divided by active accounts.
- Resolution time: median elapsed time from first eligible contact to resolved status, excluding documented waiting states.
Payout, risk, and retention
- Payout approval rate: approved requests divided by reviewed eligible requests.
- Payout cycle time: median time from complete request to final decision and from approval to confirmed completion.
- Manual-review rate: accounts or transactions routed to human review divided by eligible events.
- Cohort retention: customers completing the defined return action in a later window divided by the original eligible cohort.
Create a defensible baseline
- Freeze definitions and event names for one measurement window.
- Audit missing events, duplicates, timezone handling, and status changes.
- Publish medians and distributions where averages hide operational variance.
- Compare like-for-like cohorts and annotate rule or product changes.
- Set improvement targets from the internal baseline, not an unverified external number.
Connect these definitions to a funded sports CRM, review the payout operating model, and map the data flow with the integration architecture.