We use deep learning and the buying modalities framework to predict what type of ad or website content will engage an individual visitor to take action.

Discover

Our patent-pending methodology

We combine deep learning neural networks with the buying modalities framework to predict the psychological type of individual visitors and thus what ad or website content is the most relevant for them. This will generate a higher ad CTR and more qualitative leads.

Our products

01Digital ad optimization

Do you want to be able to offer your advertisers a higher CTR & ROI by showing your readers more relevant ads? Or even be able to offer them a CPA pricing model?

Are you a publisher?

sales@addrelevance.be

02Customer journey optimization

We help you optimize the CTA & content of your email campaigns, landing pages and customer journeys

Want more qualitative leads?

sales@addrelevance.be

Clients

ENGIE Electabel

Identify psychological visitor profiles for ENGIE

Challenge: Identify psychological visitor profiles Using advanced pattern recognition on their site, we'll predict the psychological type of visitor so Engie can adapt the content of their customer journeys.

Produpress

Increase the CTR of ads of Produpress’ clients

Challenge: Increase the CTR of ads of their clients Using advanced pattern recognition on Autogids.be, we predicted what ad CTA to show for each visitor.

Proximus

Identify psychological visitor profiles for Proximus

Challenge: Identify psychological visitor profiles Using advanced pattern recognition on their site, we'll predict the psychological type of visitor so Proximus can adapt the content of their customer journeys.