Getintent case study | Dynamic bidding to save AdOps resources

Dynamic bidding to save AdOps resources

Have a look at how Getintent helped the client spend 30% less AdOps team resources to manage campaigns

Client

European-based trading desk focused on performance marketing

Goal

Granular performance optimization based on in-house scoring algorithms

Problem

Running hundreds of campaigns (each campaign targets individual domain/geo/device) with relevant performance based bids was causing operational overload and other unnecessary errors

Solution

The Getintent Dynamic Bidding allows micro bids to be changed on domain/device/geo level within a particular campaign

Results

30% less AdOps team resources to manage campaigns 

Client’s feedback

When looking for a dynamic bidder that allowed us to access supply, there was no other choice that compared to Getintent's highly customizable API feed. Layering in our own in-house algorithms for optimization and the dynamic pricing feature, which allows us to optimize bids on a domain and even creative level, gives us the tools we need to exceed KPIs and perform.