As industry frontrunner, Jobrapido is shaping a new standard in online job searching to revolutionize the way people get jobs.
Jobrapido wanted to test new ways and strategies to enhance high value users acquisition. The challenge was to generate value over time from the job seekers interactions and maximize the optimization of the acquisition investments without negatively affecting the user experience and the way job seekers interact with job offers.
The project goal was therefore to better maximize the ROAS of paid visits, focusing on automation solutions and leveraging on the predicted LTV of the subscribed user.
Jobrapido, in collaboration with Making Science as a technology partner, has implemented Gauss Smart Advertising, a machine learning model that predicts the 90-day LTV of new qualified subscribers. Jobrapido imported the predicted LTV values in Google Ads, activating a tROAS strategy to enhance high value users acquisition.
The approach has been validated with a Geo Test. The control Geos were optimised towards tROAS without LTV bidding while the test campaign were optimised to tROAS leveraging the LTV values.
We use our own and third-party cookies to analyse the use of the website and to show you advertising related to your preferences based on a profile of your browsing habits (e.g. pages visited).
Cookie Policy.
These are the cookies we use on our website. You can set your preferences and choose how you want your data to be used for the following purposes
