AI optimization of your personalized experiences performance

Based on our extensive practice with numerous businesses, we have observed the three levels of executing personalization.

Many companies limit themselves to the first and the most basic level, running an AB-test, selecting the most successful experience, with overall traffic being their only consideration, and scaling it for all users.

Some teams go beyond that and test different experiences for various audiences: for instance, on checkout page, a male audience may be served with recommendations of shavers while women may receiverecommendations for tights.

With Gravity Field, you can elevate to the third and the most advanced level of personalization. Using Gravity’s predictive AI, you can take a deep dive into the performance of each experience for each of your key audiences individually.

For instance, the same experience may increase revenue for new users while reducing it for returning users, boost average order value for women while deteriorating it for men, and plummet conversion rates for B2C customers while skyrocketing them for the B2Bs. This is a fantastic source of insights to build personalized exp that aretthat are smart and sometimes totally unpredictable.

Benefit from the data-driven personalization opportunities at scale with Gravity Predictive Targeting engine. Our engine goes beyond traditional targeting methods and is capable of discovering the best matches between the running experiences and your specific audiences. It takes advantage of machine learning algorithms to predict the impact of scaling these matches.

Moreover, after successfully scaling the right experiences to the right audiences, Gravity Field allows you to continue experimenting and AB-testing separately within those specific audiences rather than only AB-testing your hypotheses for the whole traffic. This level of granular personalization ensures that you deliver the most relevant and engaging experiences to each audience, rather than relying on a one-size-fits-all approach.

Maximizing the impact of your personalization efforts is essential. By earning the best uplifts for each of your key audiences, you drive exceptional results and stay ahead of the competition.

Utilize the power of AI algorithms, such as dynamic allocation, to provide the most relevant experience to each user while optimizing your campaign performance for your specific goals, simultaneously.

Dynamic allocation, based on so-called “Multi-Armed Bandit” or “Contextual Bandit” machine learning algorithms, performs numerous AB-tests in an automated manner, continuously learning from user interactions in real-time. It makes data-driven decisions on which experience to serve for each user at any given moment, optimizing customer interactions to achieve your individualized goals.

With Gravity Field’s AI-driven dynamic allocation engine, you can automatically combine personalization and optimization, fine-tune specific targeting or business rules in addition to any recommendation the algorithm provides, thus allowing you to achieve exceptional results, maximizing revenue generation,and conversion rates.