Deep dive into PureClarity’s artificial intelligence engine, machine learning algorithms, and how AI delivers personalized shopping experiences
PureClarity is built on AI (Artificial Intelligence) and Big Data technology. It collects data about every one of your visitors, tracking their interactions with you onsite and offsite to build up a picture of their behaviour, their dislikes, likes, interests and habits.
This information is then used to present relevant and personalized results. PureClarity analyzes this data to see if there are any hidden Segments based behaviors you should be exploiting, e.g. “Camera Lovers.” You have the ability to drill down into this data; you can time slice and segment the information to get a deeper understanding of your visitors’ behavior and the performance of your site.
As visitors arrive on your site, PureClarity will change the recommended products and strategies based on their behavior during that very visit. PureClarity will show recommendations that worked on other visitors to maximize the chances of them seeing relevant results and buying on that visit.
The AI engine adapts recommendations in real-time, learning from each interaction to improve future suggestions within the same session.
For sites without much data, PureClarity makes the most of the sparse data by implementing a content-based filtering recommendation system, which has really incredible results for some of our clients already.How it works:
Analyzes product attributes and characteristics
Matches products with similar features to user preferences
With more data, PureClarity uses a collaborative filtering algorithm, which means that the large amounts of data are analyzed to find the optimal cross-sells and upsells based on what your customers are looking at and buying right now.How it works:
Analyzes behavior patterns across similar users
Identifies products frequently viewed or purchased together
Leverages the “wisdom of the crowd” for recommendations
The AI automatically switches between algorithms based on data availability, ensuring optimal performance regardless of your site’s data maturity.
The AI will never show two of the same strategies on the same page, and will work to minimize product duplication on the same page. Visitors can enjoy relevant, specific product recommendations without seeing any of the same content, guaranteed to increase your average order value and conversion rate.
Cross-sell preference: If your customers respond best to cross-sells, PureClarity will favor those algorithms
Popularity-based: If they prefer strategies which show more of the products that are popular on your site in real-time, PureClarity leans more towards that
Page-specific optimization: Every recommender is optimized to be right for the customer, the page it’s on, and the overall trends on the site
The AI continuously tests and optimizes recommendation strategies without any manual intervention required from you.
The AI can be combined with enriched personalization to enhance the user’s experience; creating Segments to present promotions and products, categories and brands to specifically targeted users based on their behavior.
Use the AI as your foundation for consistent performance, then layer on manual campaigns for specific business objectives like promoting new products or clearing seasonal inventory.
In short, what this all means is that your visitors are going to experience a completely personalized and optimized recommendation strategy that changes in real time as PureClarity collects more information about them, always optimized to maximize your conversion and average order value.