We Trained a Model to Sniff Out Parental Panic

Using AWS SageMaker, we trained a machine learning model on a blend of browsing history, location, and demographic patterns—searches like “best car seats 2024” and late-night clicks on third-row SUV reviews. It was basically a radar for growing families on the edge of a lifestyle shift.

We Synced That Data into AdRoll in Real-Time

Once SageMaker told us who was likely to buy, AdRoll did the legwork—automatically populating high-intent ad audiences, refreshing them hourly, and dropping anyone who was just there to look at concept cars and dream.

Creatopy Made the Ads Fit the Moment

We used Creatopy to dynamically generate creatives. For a mom researching cargo space? We served safety stats and stroller-folding GIFs. For a dad checking towing capacity? Cue the “built for weekend adventures” ad. All personalized. All automated.

Performance Data Made the Whole System Smarter

When a campaign crushed it—or flopped—we fed that back into SageMaker. Better conversion data made better predictions. It learned who actually buys a minivan vs. who just rage-scrolls through car blogs at 2 a.m.

It Was Fully Automated. No Human Refresh Needed.

We wired the whole thing up with AWS Lambda and EventBridge. New data in? New audiences updated. New prediction? New ad generated. The entire thing ran like a sentient ad agency for suburban dads.

It’s not about the car. It’s about people.

Want to do this for pickup trucks? Electric scooters? Government fleet upgrades? We’re ready when you are.