Suppliers
United States
Octane AI
Overview
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Octane AI |
United States | |
San Francisco | |
2016 | |
Private | |
< $10m | |
11 - 50 | |
Open website |
IoT Snapshot
Technology Stack
Case Studies
Number of Case Studies16
Personalizing Customer Experience: How florence by mills Doubled Their Shopify Sales Conversion Rate
Florence by mills, a skincare and beauty brand, faced a unique challenge in October 2021. The brand noticed a disconnect between the person transacting on their website and the end-user of the product. Often, it was a parent or family member buying products for a younger relative instead of someone purchasing for themselves. This presented a challenge in terms of engaging and converting both Gen Z consumers and their parents. The brand needed a solution that would guide both the end consumer and the gift-purchaser throughout their shopping journey, ensuring that the right products were recommended to the right customers. |
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Buckle Me Baby Coats: Reducing Returns and Exchanges by 95% with a Size Finder Quiz
Buckle Me Baby Coats, a company that designs children's coats for car seats, faced a significant challenge with high return and exchange rates. The company's founder, Dahlia Rizk, identified two main issues contributing to this problem. The first was the inconsistency in sizes across different coat lines, which confused customers and led to a high number of returns. The second issue was the lack of a tool to educate customers about the correct coat size to purchase, leading to frequent exchanges. The seasonality of the winter coats business also posed a challenge, as it created fluctuations in demand and return rates. |
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Increasing Revenue through Personalized Customer Engagement: A Case Study on Cake
Cake, a Shopify brand with a mission to make sex more fun and destigmatize sexual health, faced a significant challenge in understanding their customers' preferences and needs. The brand's Director of Marketing, Will Allen, expressed the need to gain a better understanding of their customers' preferences in the bedroom. Like many marketers, Will wanted to know who was interacting with their website, their likes and dislikes, so that Cake could offer products that are genuinely desired. Given the personal nature of sex, it was crucial for Cake to be as specific as possible in their product suggestions to enhance their customers' sex lives. |