Automated Product Recommendations

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Ad Targeting with AI
With the phase-out of third-party cookies looming, marketers must seek strategies to learn about what people want and serve relevant ads instead. Data can be utilised to empower campaign performance, and conversion APIs are the most effective solution for them.

Whereas cookies only offer a narrow view of data, a conversion API can enable marketers to use zero-party and first-party information, much of which they’ve collected in-house. By layering this data upon ad platforms, marketers have more accurate segmentation data, leading to best-in-class targeted and effective advertising campaigns.

Look at Starbucks. The coffee giant creates refinement ads with conversion belgium phone number list APIs and AI. It does this via strategic targeting, utilising customer purchasing patterns to reach people who are most likely to purchase premium beverages or engage with new product launches. This ensures a highly accurate return on ad spend, producing higher conversion rates.

Based on AI to Boost Average Order Value (AOV)
Consumers want personalised recommendations based on their needs today. Studies show that 78% of consumers say they’re more likely to purchase again from a brand that gives them AI personalised experiences by better understanding their preferences. Therefore, an eCommerce brand needs to eavesdrop on what the customer might be seeking. It’s done (in a legal manner) by suggesting products based on their browsing history (what the user has seen) and information about the previous purchases and user preferences. Just like the famous beauty brand Sephora does it.

Sephora uses its AI chatbot to make recommendations based on a shopper’s browsing and purchase history. A customer browsing skincare products might receive personalised suggestions for serums or moisturisers, resulting in larger basket sizes or higher AOV and a superior shopping experience.