# Recommendations strategies Welcome to the Go Reco Module, where intelligent recommendations are elevated to an art. Within this module, a spectrum of finely tuned recommendation strategies awaits, each designed to cater to diverse user behaviors and preferences. * **High Probability Purchase Recommendations:** Pinpoint products with the highest likelihood of conversion, ensuring users encounter items tailored to their purchase history and interests, boosting the chance of a successful sale. * **Similar User Recommendations:** Uncover products favored by users with similar tastes, creating connections between like-minded individuals and enhancing the sense of community. * **Similar Products:** Highlight items akin to the one in focus, broadening users' choices by showcasing alternatives aligned with their current interests. * **Frequently Viewed Together:** Explore combinations frequently explored together, guiding users towards comprehensive and relevant purchasing decisions. * **Frequently Bought Together:** Showcase product sets commonly purchased in tandem, suggesting convenient bundles and enhancing users' shopping convenience. * **Popular Products:** Present a curated selection of crowd-pleasers, showcasing trending items and enticing users with products that capture widespread attention. * **Products Viewed Recently:** Refresh users' memory by displaying products they recently viewed, providing a seamless shopping experience and encouraging revisits to potential purchases. * **Similar Products to Viewed Recently:** Extend the product discovery journey by suggesting items akin to those recently viewed, enriching the user experience with relevant choices. * **Similar Products to Added to Favorites:** Curate selections resembling items users have favorited, ensuring their preferences are at the forefront of the shopping experience. * **Similar Products to Purchased Recently:** Encourage repeat purchases by offering products akin to those recently bought, fostering brand loyalty and customer satisfaction. * **User Affinity:** Personalize recommendations based on users' affinities, honing in on their specific interests and preferences, thereby enhancing user engagement and satisfaction. * **Complete the look: E**nhance user experience by suggesting products that complement or complete a customer's selected item. Incorporate these recommendation strategies seamlessly into your user journeys, web/app personalizations, and live shopping events, creating a cohesive and tailored user experience that resonates with every individual. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://academy.gopersonal.ai/en/admin-ui/personalizations/recommendations-strategies.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.