Sorry, there is no results for this query
A generic shopping experience represents a high risk for a company operating in a fashion or sporting goods industry. These are highly dynamic and fast-paced environments that do not leave any space for marketing or merchandising strategy mistakes. The digital shopping experience needs to be responsive to trends and the changing tastes of customers. It needs to appeal individually to each customer. This is where AI Optimization and Personalization come in: dynamic and individualized shopping.
Applying AI optimizations helps retailers optimize their marketing efforts and directly affect customer conversion and increase sales. For a highly competitive industry such as sports & goods retail, a generic approach is not going to be sufficient to “win” the customers and stay competitive in the long run. Every dollar in the marketing budget has to be used with maximum efficiency, and each move should be tested and evaluated to optimize the overall business strategy.
On Gymshark’s website, products, which users often click in the search results, rank higher. Behind the scenes, AI dynamically optimizes the ranking to increase conversions.
Gymshark’s success indicators:
Sports retailer Gymshark uses Algolia’s AI-generated synonyms to let users find relevant results even if they use different words for the same products.
Personalization allows retailers to deliver superior customer experience to their customers, even outperforming the in-store direct communication with a sales person. Personalization should feel effortless and useful to ecommerce shoppers, not “creepy” as it may happen with personalization strategies taken too far. Below are examples of sports & goods ecommerce retailers who successfully implemented personalization to ensure a superior user experience and satisfaction, while simultaneously improving their sales, click-through-rates, and conversions.
Decathlon Singapore analyzes users’ preferences as they browse. This enables Decathlon to personalize the user experience, making the search results and overall browsing process more relevant and engaging.
Decathlon’s success indicators:
Gymshark ensures that each shopper sees the products most relevant to their unique preferences by combining events and facet values in user profiles.
Gymshark’s success indicators:
AI optimizations unlock new opportunities and increase the efficiency of your ecommerce process, by automating and leveraging machine learning algorithms. Such innovations are essential for fast-paced industries like sports & goods ecommerce. This market is highly competitive, rapidly evolving, and continuously influenced by new trends. Therefore, sports & goods companies have to rapidly adapt and constantly improve their customers’ online experience. With well-selected and configured tools, sporting goods retailers can achieve improved relevance, better merchandising and personalization strategies, decreased bounce rates, and increased revenues, sales, click-through-rates, and conversion rates.