brown cookies decorated with various facial expressions

Experimenting with AI for e-commerce success

This article was based on the interview with Stefanos Loukakos of Connectly by Greg Kihlström, AI & Marketing keynote speaker for The Agile Brand with Greg Kihlström podcast. Listen to the original episode here:

In a cookieless world, the need for one-to-one conversations with customers becomes more important, making the use of AI technology crucial for retailers to continue targeting the right customers effectively.

In the podcast interview, Stephanos Loukakos, co-founder and CEO of Connectly, discusses the importance of retailers experimenting with AI technology to stay agile in the evolving retail landscape. He emphasizes the potential of AI to bring amazing results to customers at a lower cost, highlighting the opportunity for retailers to improve their business by embracing AI.

From a brand and retailer perspective, embracing personalized end-to-end retail experiences requires a shift in mindset towards prioritizing customer engagement and personalization. Brands need to focus on owning their customer data, understanding customer preferences, and leveraging AI technology to deliver personalized recommendations and interactions. This approach not only improves customer satisfaction but also enables brands to gather valuable data that can be used for retargeting and personalized marketing campaigns.

Measuring success in personalized end-to-end retail experiences can be done through a combination of traditional customer satisfaction metrics, such as Net Promoter Score (NPS) and Customer Effort Score (CES), as well as retail-specific metrics like order value and conversion rates. However, in addition to these metrics, brands can also measure success by looking at customer engagement, repeat purchases, and the level of personalization achieved in customer interactions. Ultimately, the goal is to create a seamless and personalized shopping experience that drives customer loyalty and increases brand advocacy.

Personalized end-to-end retail experiences have the potential to revolutionize the retail industry by offering customers a more personalized, convenient, and engaging shopping experience. Brands that prioritize customer-centric strategies, leverage AI technology, and focus on delivering personalized interactions are likely to see increased sales, customer satisfaction, and brand loyalty in the long term. By embracing this approach, brands can differentiate themselves in a competitive market and build lasting relationships with their customers.