1.Triggers on new club activity
Integrate Strava and analytics tools to detect new club activity and start the structured row workflow.
Log club activity records into a central analytics sheet
Automatically monitor new club activity logs across Strava and analytics tools. Create and update rows when new club activity is logged, pace text is detected, or start timestamp is capturedβso you can normalize pace values, resolve athlete IDs, and update analytics rows without manual row entry.
How this automation updates your analytics sheet rows
When new club activity is logged, inconsistent pace and dates can break reporting and slow downstream modeling. This automation normalizes pace text and formats reporting dates, finds athlete IDs, and updates your analytics sheet row by rowβso your team can keep insights current.
Stravaor swap with your favorite app
2.Normalizes pace into numeric value
Integrate Formatter by Zapier and data parsing tools to convert incoming pace text into a numeric friendly pace value for the sheet.
Formatter by Zapieror swap with your favorite app
3.Formats reporting date consistently
Integrate Formatter by Zapier and date formatting tools to convert the activity start timestamp into a consistent reporting date.
4.Finds athlete record by full name
Integrate Airtable and database lookup tools to search by athlete full name and return a linked athlete ID or no match.
Airtableor swap with your favorite app
5.Increments counter for row index
Integrate Zapier Tables and row indexing tools to increment a configured counter record and produce a destination row number.
Zapier Tablesor swap with your favorite app
6.Updates central analytics row
Integrate Google Sheets and spreadsheet updates tools to update the analytics worksheet columns with mapped activity fields.
Google Sheetsor swap with your favorite app
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