Personalized advertising

Data modelling leads to personalization at scale

What is it and why it matters?

Personalized advertising means delivering relevant ads to your potential clients. Using it can increase your CTR and conversion rates significantly. In practice, there are the 4 main things you have to do if you want to offer a personalized ads experience to your potential customers:

Gather data: Start by collecting data on your clients’ behavior, preferences, and interests. This can include website analytics, social media engagement, and customer surveys. The more data you have, the better you can tailor your ads.

Segment your audience: Once you have data, segment your audience into specific groups based on common characteristics. This can include demographics, interests, location, or behavior. By targeting specific segments with personalized ads, you can maximize relevance and effectiveness.

Use dynamic content: Dynamic content allows you to create ads that automatically adjust based on each individual’s profile and behavior. For example, you can show different products or offers based on browsing history or purchase history.

Test and optimize: Personalized advertising requires ongoing testing and optimization to ensure it’s delivering the best results. Continuously analyze performance metrics and adjust your strategies based on what’s working and what’s not.

And of course, we saved the best for last. At BrandIQ, we can do all of the things above and much more for you. We provide comprehensive services across programmatic, social, search, TV, audio, radio, and DOOH channels through strategic integrations and partnerships.

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Predictive models rely on a set of initial conditions to set them in the right direction. We see this in various settings, including weather models, flight simulations, differential equations in physical systems, and of course advertising.

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