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Tommy Hilfiger, a global icon in the fashion world, was looking for sharper techniques to improve its online shopping experience.
The brand faced three main challenges:
- Distinguishing shoppers ready to buy from those likely to abandon their carts
- Boosting sales for sales for targeted product lines
- Increasing the visibility of their promotional campaigns
To tackle these obstacles, Tommy Hilfiger partnered with Quin AI to harness predictive audience analytics and create personalized shopping experiences that genuinely connected with their customers.
This partnership delivered incredible results: A remarkable 17X return on investment, a 24% boost in incremental revenue, and a 51% increase in conversion rates – clear proof that predictive analytics driven by generative AI can make a world of difference in elevating enterprise-level e-commerce strategies.
Tommy Hilfiger’s results:
- 17X ROI
- 24% boost in incremental revenue share
- 51% increase in conversion rate
Challenge #1: Pinpointing the right shoppers to incentivize
Tommy Hilfiger had difficulty determining which shoppers were ready to buy and which were likely to leave their carts without purchasing. Without that insight, they offered discounts to everyone – even customers who would have bought without the extra push.
This one-size-fits-all approach ate into profits and didn’t do much to stop cart abandonment. To turn things around, Tommy Hilfiger needed a better way to spot at-risk shoppers and offer incentives that would re-engage them.
How Quin AI helped
Using Quin AI’s predictive insights, Tommy Hilfiger identified shoppers who were about to leave their website without making a purchase. By understanding their real-time behavior, the fashion giant was able to offer tailored incentives at just the right moment in their shopping journey to keep them engaged.
This thoughtful approach led to a 51% surge in conversions, cutting down cart abandonment and boosting profitability.
Challenge #2: Increasing underperforming product category sales
Tommy Hilfiger set out to boost sweatshirt sales to meet their KPIs but ran into a roadblock. Shoppers who showed interest in the sweatshirts often left the site without ever visiting the page showcasing the products' unique benefits. Without capturing their attention at the right moment, the brand struggled to create a strategy to convert these potential buyers into customers and meet their sales goals.
How Quin AI helped
Tommy Hilfiger used Quin AI’s sophisticated algorithm to identify shoppers interested in sweatshirts but likely to leave the site without buying. This triggered a personalized pop-up directing them to a page highlighting what made the sweatshirts special, making the shopping experience more relevant and engaging.
The sweatshirt product category saw a 27% boost in conversion rate, well above the site average, leading to a clear boost in sales. It’s a great example of how a more personal and focused approach can really connect with customers and drive profitable results.
Challenge #3: Unlocking the full potential of discount campaigns
Tommy Hilfiger periodically ran discount campaigns on their site but struggled to get them in front of the right customers. They also had trouble identifying which shoppers would be interested in the offers and timing them for maximum impact. As a result, the campaigns missed opportunities to connect with potential buyers and boost conversions.
How Quin AI helped
Using Quin AI’s real-time audience insights, Tommy Hilfiger gained a deep understanding of visitor behavior as it happened. Armed with this valuable data, they could time their offers perfectly, showing them to shoppers when they were most likely to engage. This smart strategy made the banners on Tommy Hilfiger’s site far more impactful, driving a 40% increase in conversions.
A bright future ahead for Tommy Hilfiger and Quin AI
Tommy Hilfiger’s partnership with Quin AI has already proven to be a turning point in refining their e-commerce strategy, and the results are evident. With a 17X ROI, a 51% increase in conversion rates, and a 24% boost in incremental revenue, it’s obvious that predictive analytics powered by generative AI is allowing Tommy Hilfiger to launch more personalized, engaging shopping experiences that deliver tangible results.
Looking ahead, Tommy Hilfiger plans to continue collaborating with Quin AI, potentially launching new campaigns in 2025. While the specifics of these future initiatives are still in the works, the success of their current efforts lays a strong foundation for refining their approach to boost customer engagement further and drive sustained growth. We’re excited to see what’s next!
