LTK Case Study
LTK (LIKEtoKNOW) is a global community of 700+ team members, hundreds of thousands of the world’s premium Creators, 7,000 retailers, and 1 million brands across more than 160 countries. Pioneering a proprietary ecosystem of innovative technology, strategic growth consulting, global brand partnerships, and expansive shopper distribution, we’ve done more than just monetize Creator Marketing—LTK created the industry and are defining the next decade. With over $4 Billion in annual online sales, LTK is leading the online fashion charge.
Problem
LTK was seeking a solution to help build a marketing and product recommendation tool for their thousands of customers. This personalized approach strengthens the bond between brands and their clients as well as boost LTK’s bottom line.
Result
LTK’s use of Weaviate and AWS is a game-changer in marketing personalization. LTK uses Weaviate to thoroughly analyzes customer data, including purchasing behavior and preferences. This data-driven approach allows for the creation of highly personalized marketing content, ensuring it resonates with each individual. Artificial intelligence predicts engaging content, boosting marketing effectiveness and conversions.
Deploying Weaviate on AWS, Weaviate has the ability to adapt and learn from customer interactions. This allows for refining the personalization process over time. Continuous improvement ensures that marketing content remains relevant and impactful. The precision in predicting marketing content has significantly impacted LTK’s bottom line.
90% faster search – The amount of time it takes to receive a search result has been reduced from taking an average of 10 seconds to less than 1 second. This improvement allows LTK customers to accurately find products more efficiently.
1000X more data objects stored - Compared to their original database, LTK has increased the number of data objects stored in their Weaviate database by a factor of 1000 while improving query response times. LTK doesn’t have to worry about their vector database scaling as their customer base continues to grow.
Utilizing AWS Elastic Kubernetes and Weaviate, LTK analyzes customer preferences, purchase history and browsing behavior to make product recommendations. Such personalization boosts the chances of conversions and raises levels of clients’ satisfaction. Additionally, deploying Weaviate on AWS has helped scale across their platform to their thousands of customers in identifying cross-selling and upselling opportunities.