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Case Study: TeePublic grew paid social revenue 161% with Simon Data segmentation

TeePublic Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
TeePublic
Industry
Retail & Ecommerce
Challenge
Scale paid social beyond Facebook lookalike modeling
Headline result
TeePublic used Simon Data engagement-based segmentation and reported a 161% increase in paid social revenue

Key results

161%
Increase in paid social revenue
21%
Increase in ROAS
121%
Increase in paid social spend

The challenge

TeePublic struggled to scale paid social because it relied heavily on Facebook lookalike modeling, could not optimize remarketing with comingled data, and could not measure incrementality through email-interaction data or lift experiments.

The solution

Simon Data integrated with TeePublic's database within 5 days and built granular segmentation from order and engagement data. This created three mutually exclusive audiences — Acquisition, Remarketing, and Re-engagement — with independent testing to confirm incrementality.

The results, in context

With engagement-based segmentation, TeePublic reported a 161% increase in paid social revenue and a 21% increase in ROAS, alongside a 121% increase in paid social spend.

Products used

Simon Data Simon CDPSimon Data Audience segmentation