Cleaning Brand Increases Targeted Reach by 44% with Sell-Side AI Decisioning

The Challenge

A leading CPG cleaning brand needed to scale multiple campaigns and product launches targeting moms, across both video and display formats.

Multi-Format Campaigns

Scale multiple campaigns targeting moms across video and display formats

Static Targeting Limits

Static PMP lists and audience segments made efficient reach at scale difficult

Precision & Context

Reach the right people in the right context while keeping costs down

Traditional approaches using static PMP lists and audience segments made it difficult to efficiently reach the desired audience at scale, while also keeping costs down. The brand required a more precise, data-driven solution to ensure its campaigns reached the right people in the right context.

The Solution

inPowered AI used the brand’s past campaign data to train a custom AI model designed to maximize reach among its target audience.

The model was hosted in Index Exchange and leveraged dozens of privacy-compliant signals, including:

Time of Day

12 pm11 am

Page URL

cnn.comfoxnews.com

Browser version

Chrome 128.0Edge 119.0

Device OS

iOS 17Windows 11

Carrier

VerizonT-Mobile

Zip Code

9581478701

Unlike static deal lists, the AI model evaluated every impression in real time. When it detected a high-value opportunity, it stamped that impression with a unique deal ID, allowing budget to be directed where it would be most effective.

The Results

By activating decisioning on the sell side and leveraging custom AI models, this cleaning brand achieved:

Smarter targeting using impression-level decisioning
Seamless activation across video and display campaigns
Better efficiency through dynamic budget allocation

Targeted Reach

CPM (Video)

CPM (In-App Display)

CPM (In-App Video)

The campaign demonstrated how sell-side AI decisioning can drive incremental reach and dramatically reduce CPMs, proving the value of impression-level intelligence in programmatic buying.