Case Study: Mac & Mia saves 80+ developer hours and fast-tracks analytics with Stitch

Not writing ETL scripts saves Mac & Mia weeks of time

Mac & Mia is a small online retailer of curated boutique children’s clothing that struggled with scattered data across a Heroku app and multiple advertising, sales, and customer-service platforms. Reporting was manual and time-consuming—CSV exports, Heroku Dataclips, and Excel/PPT—so the team needed an automated way to consolidate data for Looker-powered reporting without tying up developers or requiring deep analytics expertise.

They adopted Stitch for cloud-native ETL because it supported all their sources, was easy to set up, and cost-effective; Stitch had them loading millions of rows into their analytics warehouse in minutes. The result: more than 80 hours of developer time saved (plus roughly 10 hours/month of ongoing maintenance avoided), faster reporting, better documentation and support, and more time for meaningful analysis instead of data wrangling.

Mac & Mia

Alex Mohr

Data Analyst