Case Study: Jobrapido achieves +10% Profit and +6% ROAS with Making Science's pLTV Bidding

A Making Science Case Study

Preview of the Jobrapido Case Study

Jobrapido boosts ROAS by 6% with Making Science

Jobrapido, a global online job search platform, wanted to enhance its acquisition of high-value users and maximize the return on ad spend for its paid visits without negatively impacting the user experience. They partnered with vendor Making Science to address this challenge.

Making Science implemented its Gauss Smart Advertising machine learning model to predict the 90-day lifetime value of new subscribers. This data was used in Google Ads with a target return on ad spend strategy. The solution resulted in a +6% ROAS, a +10% increase in profit, a +27% growth in conversion rate, and a -9% decrease in cost per click for Jobrapido.


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