Unleashing the Power of Machine Learning: Revolutionizing Hyper-Personalized Advertising for Unparalleled User Experiences
In our last blog post, we spoke to readers about our Generative Artificial Intelligence and Creative Personalization. We’re taking things to the next level again, introducing a Machine Learning-powered Personalization System that makes scaled & cost-efficient personalization a reality.
First, some generals.
Machine learning is a subfield of Artificial Intelligence that has revolutionized how we approach data analysis and decision-making. It involves the development of algorithms and models that enable computer systems to learn from data and improve their performance over time automatically. It has found applications in finance, healthcare, marketing, and entertainment. One significant area where machine learning is profoundly impacting is personalized advertising.
Hyper-personalization refers to tailoring products, services, and experiences to individual users based on their unique preferences, behaviors, and characteristics. With the advent of big data and advancements in machine learning, companies can now gather vast amounts of information about their customers, including browsing history, purchase patterns, social media activity, and demographic details. By leveraging machine learning algorithms, businesses can analyze this wealth of data to gain deep insights into customer behavior and make personalized recommendations and offers. It benefits businesses by fostering customer loyalty and enhancing the overall user experience, empowering individuals with tailored solutions that cater to their specific needs and preferences.
By now, you know Connected-Stories has been AI since day zero, and we are evolving to extend that to Machine Learning. We’re proud to introduce pre-trained ML models into our Personalization System, making the automation & delivery of hyper-personalized ads a scalable, secure, and accessible reality. Each model is associated with an industry or vertical (fast food, telecommunications, retail, etc.) and trained on billions of fresh data points, optimizing it for efficiency and hyper-personalized ad delivery. The Machine Learning model is a probabilistic model, a shift away from a more rules-based one. Trained on billions of fresh industry data points, it manages thousands of consumer behavior signals (context, creative engagement, how the ad is built, etc.). It weighs their value to develop thousands of possible personalization outcomes.
Essentially, we took our Personalization from this:
A rules-based model hand-built to deliver pre-set creatives and impossibly manage hundreds of variations.
To this:
A pre-trained model that manages thousands of data signals and automatically develops every possible creative outcome with no manual effort or error.
So, what does activating Machine Learning mean in the context of the hyper-personalization of ads? It means game-changing benefits for advertisers like:
- Eliminating manual errors when dealing with thousands of data signals and potential personalized creative outcomes.
- Automatically optimize toward increased ad performance & consistently see lift by training the model with 1st party data.
- Generating hundreds or thousands of potential personalized creatives with no lift.
And more!
Together, machine learning and hyper-personalization have the potential to transform advertising, ushering in a new era of personalized experiences focused on the user experience.
Interested in learning more? Request a demo with us to see how our new pre-trained models work and how you can make them bespoke to your business.