Consumer Dissatisfaction:
42% of online shoppers give product discovery experiences a "C" grade or lower.
68% say search functions on retail websites need improvement.
44% of shoppers take at least 3 minutes to find products, 21% take at least 8 minutes.
41% of shoppers frequently or always reformulate search queries.
44% feel treated like strangers with generic recommendations.
Only 32% find product discovery enjoyable.
Mobile and GenAI Adoption:
61% do at least half of their online shopping on mobile, 21% do all shopping on mobile.
51% have tried GenAI tools, up from 29% last year.
Challenges and Opportunities:
80% of shoppers are often unsure what to buy when they visit e-commerce sites.
32% find it difficult to find the right items when unsure.
61% would be willing to let an AI shopping assistant help them when unsure.
Key Takeaways:
Retailers need to improve product discovery and search experiences.
Personalization is crucial to avoid treating customers like strangers.
Mobile optimization is essential, as a majority of shoppers use mobile devices.
GenAI presents an opportunity to assist shoppers who are unsure what to buy.
Trends:
Increasing consumer expectations for seamless and personalized online shopping experiences.
Growing adoption of mobile devices for online shopping.
Rising interest in GenAI tools to assist with product discovery.
Consumer Motivation:
Find products quickly and easily.
Receive personalized recommendations.
Get assistance when unsure what to buy.
Driving Trends:
Advancements in technology, including AI and mobile devices.
Shift towards online shopping, accelerated by the pandemic.
Increasing competition in the e-commerce space.
Target Audience:
Online shoppers in the U.S. and the U.K.
Age range not specified in the summary, but 44% of those 60+ are open to AI assistance.
Product/Service:
E-commerce platforms and retail websites
Conclusions:
Retailers have significant room for improvement in product discovery and search.
Investing in personalization and AI-powered tools can enhance the shopping experience and drive sales.
Mobile optimization and GenAI adoption are key trends to watch.
Implications for Brands:
Prioritize improving search and product discovery functionalities.
Invest in personalization to provide tailored recommendations.
Explore the use of AI to assist shoppers and offer a more guided experience.
Optimize websites for mobile devices.
Implications for Society:
Potential for increased online shopping and reduced reliance on brick-and-mortar stores.
Increased expectations for personalized and efficient online experiences.
Potential for AI to play a larger role in shaping consumer choices.
Implications for Consumers:
Improved shopping experiences with better search and personalization.
More assistance in finding products, especially when unsure what to buy.
Potential for increased exposure to targeted advertising and recommendations.
Implications for the Future:
Continued growth of e-commerce and mobile shopping.
Increased adoption of AI-powered tools for product discovery and personalization.
Higher expectations from consumers for seamless and enjoyable online shopping experiences.
Consumer Trend:
Demand for personalized and efficient online shopping experiences
Consumer Sub Trend:
Growing openness to AI-powered shopping assistants
Big Social Trend:
Shift towards online shopping and reliance on technology for product discovery
