40% of people are more likely to spend more than planned if they find their shopping experience to be personalized. This guide shares 20 product recommendation examples to help shoppers make the right buying decisions faster. Examples include recently viewed items, expert recommendations, recommendations based on quiz answers, and personalized bundle recommendations.

This post breaks down an example of a checkout abandonment A/B test that tested a delay of 1 hour vs. 2-3 hours when sending the first follow-up email. Brands will often focus on one metric, which is the number of placed orders for the first email. The 1 hour test version will always win — but the truth is this doesn’t paint the full picture of what’s happening. A proper test would split the following into 2 cohorts, tag 50% of the profiles as 'control' and the other half as 'test', and capture the flow start date. Segments to pull include the number of people in each cohort in the last month, discounts used by cohort, placed orders by cohort, and unsubscribed by cohort.

Almost 85% of ecommerce site visitors remain unidentified, which hinders retailers' ability to engage them effectively. Identifying visitors is key, as businesses with the highest identification rates experience 53% higher repeat purchases. The lack of information prevents retailers from personalizing their communication and retargeting customers which is critical to compete with discount marketplaces like Amazon.

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Retailers are facing a significant shift in the ecommerce landscape as Google evolves its search results to resemble Amazon-style category pages. This transformation necessitates that retailers adapt their SEO strategies, placing greater emphasis on optimizing product pages rather than traditional category pages. Over the past year, Google has implemented several updates to its ecommerce search results. These changes include the introduction of product grids that display products directly, the addition of search filters, and the integration of local search elements. Most recently, Google has begun to showcase product results within AI Overviews, further enhancing the visibility of products in search results. Collectively, these updates have created a new ecommerce search experience that prioritizes product visibility. When users search for items like "espresso machines," they are now greeted with product grids at the top of the search results, often before any organic listings. This new layout allows users to refine their searches directly within the results, selecting specific features to narrow down their options. The right-side sidebar provides detailed product information, including images, pricing, and descriptions, all without needing to click through to a retailer's website. This shift indicates that Google is attempting to replicate the traditional category page experience within its search results. By prioritizing product pages, Google is effectively positioning itself as a competitor to Amazon, which has historically dominated product searches. The implications for retailers are profound; as Google continues to enhance its product-focused search results, category pages are losing their prominence. The competition between Google and Amazon for ecommerce market share has intensified, with a notable decline in Google's product search market share over the years. As a result, retailers must now focus on optimizing their product pages to align with Google's evolving search algorithms. This includes updating title tags, H1s, and product data to ensure that key features are highlighted effectively. Moreover, the importance of product data cannot be overstated. Google emphasizes the need for accurate and comprehensive product feeds, which play a crucial role in how products are displayed in search results. Retailers must ensure that their product data is optimized for search engines, reflecting relevant keywords and providing complete information. As Google continues to act as a de facto category page, there is a growing opportunity for brands that focus on long-tail queries. Smaller brands that optimize for specific, less competitive queries can gain visibility in search results that were previously dominated by larger retailers. This shift allows them to compete more effectively in a landscape that is increasingly driven by product-focused search results. However, these changes also pose challenges for affiliate sites, which are finding it harder to compete in a search environment that prioritizes direct product listings. As Google enhances its product features, affiliate sites may struggle to maintain their visibility and traffic. In conclusion, the evolution of Google's search results is reshaping the ecommerce landscape. Retailers must adapt their strategies to prioritize product pages and optimize their product data to remain competitive. As Google continues to refine its search experience to mirror that of a category page, understanding these changes will be crucial for retailers looking to thrive in the digital marketplace.