Our research methodology
We combine automated search protocols with structured human verification to ensure your reports are accurate, traceable, and objective.
How we collect data
Competitive data in the sports industry changes constantly. Operators shift open play hours, launch peak season rates, or test new formats monthly. To deliver reliable statistics, we use a multi-phase data validation pipeline.
Automated map discovery
We check local search registries, Google Maps, and municipal licensing directories to list every active or proposed pickleball venue in your target zip codes.
AI-assisted research and synthesis
Our custom query scripts extract court rental rate tables, membership tiers, open play sessions, and clinic timetables from public competitor sites.
Structured human review
A research analyst manually verifies the key extracted numbers. If court rates or guest access policies are ambiguous, we contact the club to confirm standard terms.
Every entry in the competitor directory sheet features an associated source URL or verification timestamp log, ensuring complete transparency. We do not use anonymous, unreferenced estimations.
Data confidence labels
Every competitor metric in our database is tagged with one of four confidence ratings to prevent operators from acting on assumptions.
Verified
Data has been manually cross-checked by our research team, either through direct facility confirmations, call verifications, or verified employee statements.
Public source
Extracted directly from active public websites, booking portals, court schedules, or official marketing channels. Highly reliable, with timestamps of extraction.
Estimated
Derived from user reviews, historical reports, or nearby averages when pricing is hidden behind a call-wall. Marked clearly to alert operators of assumptions.
Needs review
Identified conflict between different public sources, such as an outdated rate sheet versus an active booking widget. Flags a priority research item for the team.