Product: Audience Targeting via Mobinner's Data Management Platform

The challenge

Dreamliving Interiors had always targeted broad demographic groups. As those audiences got saturated, cost per acquisition went up every quarter. The small marketing team didn't have time to keep rebuilding segments by hand.

The solution

Mobinner's DMP combined Dreamliving Interiors' own purchase data with behavioral, contextual, and intent signals. Our machine learning then built predictive audiences scored by how likely each person was to buy, and moved budget every day toward the segments converting best. Along the way, it found buyer groups the team had never considered.

The results

• Cost per acquisition fell 41% within 90 days.
• Return on ad spend rose from 1.4x to 2.6x.
• Our machine learning found three new high-performing audience segments, which the team now uses on its other channels as well.

In their words

“We thought we knew exactly who our customer was. Mobinner's system curated for us a couple of groups we never would have picked ourselves, and they've become some of our best buyers. Our CPA has gone down every month since we launched.”