Customer acquisition costs (CAC) are rising across eCommerce. Getting new shoppers is more expensive than ever. In this environment, sustainable growth depends less on how many visitors you attract, and more on how effectively you convert them and keep them coming back. That’s why forward-thinking online shops are doubling down on personalization as a key revenue driver.
Two pillars of product discovery, recommendations and search, play a critical role in this strategy. When they work together, the results can be transformative for both conversion and retention.
AI-powered product recommendations have become a staple for modern eCommerce. By surfacing relevant products that shoppers might not have found on their own, recommendations drive impulse purchases, increase average order value (AOV), and keep shoppers engaged throughout their journey.
Personalized recommendations come in many forms, such as cross-sell, upsell, “You may also like,” and smart bundles. These tools help shoppers discover more of your catalog, often leading to bigger baskets and happier customers.
While recommendations are great for inspiring discovery, many shoppers arrive with a clear intent. For these customers, search is the go-to tool. Effective search helps users find exactly what they want, quickly and without friction. When search falls short by delivering irrelevant or generic results, shoppers get frustrated, bounce, and sales are lost.
Traditional search is often slow, inaccurate, and treats every visitor the same. This approach misses a huge opportunity for deeper personalization and higher conversion.
The real magic happens when personalized search and recommendations are combined. This synergy unlocks more revenue in several ways.
First, search results can be personalized to each user’s behavior and preferences, showing the most relevant products first. Second, shoppers can start by searching for what they want and then seamlessly use personalized recommendations on product pages to explore related or complementary items. This creates a continuous discovery experience, making it easy for users to navigate, discover, and buy more. Third, both search and recommendations can be aligned with your business goals, whether you want to promote new arrivals, clear inventory, or highlight high-margin products via merchandising rules.
The result is a seamless and intuitive journey for shoppers. They find what they want faster, discover more products, and are more likely to return for repeat purchases. For stores, this means higher conversion rates, increased average order value, and improved retention.
Today’s shoppers expect relevant, fast, and intuitive discovery across the entire store. Brands that optimize both search and recommendations deliver a superior experience and consistently outperform the competition.
The future of product discovery is seamless, personalized, and intelligent. At Aqurate, we are committed to helping eCommerce brands unlock more revenue by bringing these pillars together in new and innovative ways.
Stay tuned as we continue to push the boundaries of what’s possible at the intersection of search and recommendations.