Results / Customer-data pipeline
US ECOMMERCE STORE · MARKETING OPERATIONS

A current customer list for win-back email.

For the same US ecommerce store as the sales-response automation case study, customer data for reactivation email was exported, cleaned, and uploaded manually once a week. We replaced that weekly process with a daily Extensiv-to-Klaviyo pipeline.

The problem

Each week, a team member exported shipped-order customers to CSV, cleaned the file, and uploaded it to the email platform. The process took about an hour and left the marketing audience up to six days behind current order data. Marketplace orders from Amazon, Walmart, and similar channels also contain relay addresses that must be excluded from marketing lists.

What we built

We built a scheduled pipeline that retrieves shipped orders from Extensiv, applies the client's customer-record cleaning rules, and updates the Klaviyo list used for the store's win-back audience.

EVERY NIGHT, 3 AM · UNATTENDED
Extensiv
Clean & dedupe
Klaviyo list
~1 hrweekly work removed
0manual touches / run

Each run is archived for audit. A morning report records the imported records and any failures, giving the team a clear exception list to review.

What changed

The recurring weekly CSV process was removed, and the reactivation audience is now refreshed daily. Win-back flows operate from more current customer data, with the manual cleaning and upload work removed from the team's schedule.

Is manual data handling slowing down your marketing operations?

We can review one recurring data process, its source and destination systems, the controls it needs, and the time it could return to your team.

Discuss your workflow