Connect Metricool to Snowflake
Send Metricool brands, facebook competitors, facebook stories and 18 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema metricool
brandsfacebook_competitorsfacebook_storiesfacebook_postsfacebook_reels- 16 more data types
How to connect Metricool and Snowflake
5 steps. You can preview the Metricool data in Coupler.io before anything reaches Snowflake.
Step 1 of 5
Connect Metricool
Enter your Metricool user token and user ID. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Metricool data you want in Snowflake.
Show 13 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Metricool export.
Step 4 of 5
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Metricool data.
Step 5 of 5
Choose a write mode and schedule
Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.
Each run deletes the existing rows in brands and loads fresh Metricool data.
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21 data types, including Brands, Facebook competitors, Facebook stories, Facebook posts and Facebook reels.
With your Metricool user token and user ID, entered once when you add the connection.
Yes. Set the start date and end date to cover the period you need.
Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.
Yes. Append adds new rows to brands on each run, while Replace swaps in a fresh copy. With Append, add new Metricool columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example Instagram Insights or Facebook Page Insights, and join or append them before the data reaches Snowflake.
