The Different Types of Personalization

Here are the different types of personalization that Shopify Store Managers can utilize.

1. Audience Personalization: This type of personalization tailors the shopping experience based on who the customer is. For example, if you’re shopping from New York on your phone, you might see a different set of products or promotions than someone browsing from California on their laptop. The store can adjust these displays either manually or automatically using a personalization tool.

2. Lookalike Personalization: The most widely used technique among Shopify personalization tools, this approach leverages cohort analysis or collaborative filtering to identify similar users based on shared purchase history. By recognizing patterns across similar user groups, it offers personalized recommendations that align with what others with similar tastes have purchased.

3. Rule-Based Personalization: This is the simplest form of personalization. It’s like setting up a series of “if-then” rules. For example, "If a customer has previously bought shoes, then show them more shoe options." Store managers set these rules to decide what products or recommendations appear, based on certain conditions.

4. Predictive Personalization (Hyper-Personalization): The most advanced personalization technique available today, predictive personalization uses machine learning, deep learning, and/or generative AI to predict which products a visitor is most likely to purchase. The system constantly learns and adapts in real-time, aiming to guide the visitor toward conversion in as few clicks as possible. This technique is primarily offered by major tech companies like Amazon, Walmart and a select few providers.

Frenzy AI takes personalization to the next level by using advanced deep learning and generative AI technology to deliver predictive personalization. What makes Frenzy AI special is its ability to combine predictive personalization with rule-based, audience-based and lookalike merchandising, providing Shopify store managers with unparalleled flexibility. Also, by collecting millions of data points—far beyond what Shopify and typical metafields offer—Frenzy taps into its proprietary data network to create the most sophisticated and effective personalization experience on the market.

Regardless of the personalization method you choose, we always recommend conducting thorough A/B testing across different personalization types to identify the strategy that maximizes your revenue and conversion rates.