To tailor your cross-selling strategy to shifting e-commerce trends, leverage data analytics to understand customer preferences and purchasing behaviors, allowing you to offer personalized recommendations. Additionally, stay agile by regularly testing and adapting your offers based on real-time feedback and emerging market trends, ensuring relevance and increased engagement.

In my previous roles, adapting to shifting e-commerce trends has been key to our overall success, at Cibo Vita, Sabra/PepsiCo, Mondelez and L'Oreal. For other CPGs, my recommendations are: - Leverage AI to personalize cross-sell recommendations based on customer behavior. - Implement up-to-date and perk-rich subscription models to boost loyalty and increase lifetime value. - Align with sustainability trends by bundling eco-friendly products. - Use social proof—reviews and UGC—to enhance the credibility of up-sell and cross-sell offers. - Ensure real-time inventory updates to keep recommendations relevant.

To keep up with evolving customer behaviors, tailor cross-selling based on customer segments (e.g., frequent buyers, first-time customers, or deal hunters). During the holiday season, cross-sell gift items, accessories, or limited-edition products as part of a package deal. Adjust recommendations based on live data. Use machine learning to understand product affinity and offer cross-sell items that have a high likelihood of being bought together based on real-time shopping patterns, not just historical data.

Analyzing data would be at the very top of my list. It really depends on the trend. Is it the economy? Did you change your product? Adjust marketing spend? First find out the source.

Firstly, you need a fully integrated CXP - a single platform can personalize Search, Categories, Content & Recommendations - with ability to segment and 1:1 individualize all elements of the store. Once you've established that, you need to mature into full utilization. - Start with analytics to determine key segments, - Build out affinity segments based behavorial data, e.g. brand affinity and color affinity, - Create AI based recommendation for PDP, Category and Checkout pages, segment them if needed (and use 1:1 personalization), - Introduce segments for Search and Category pages, and combine merchandising strategies to promote what you want to sell, - Create versions your content (banners and landing pages) based on the segment.