CASE Study
A Global Luxury Fashion Leader unlocks Hyper-Personalization on Anonymous Visitors
Enhancing online customer engagement with true hyper-personalization - “One Visitor, One Journey” by leveraging Kahoona’s predictive segmentation. The brand’s online experience team were seeking to dynamically tailor the product arrangement on PLPs (Product Listing Pages) based on the anonymous users' customer persona (their current product intent, focusing on category and style), with the goal of enhancing user engagement, boosting the overall site experience and conversion metrics.
The Challenge
The Challenge
A global luxury fashion brand, known for its luxurious and diverse product range, were struggling to effectively engage with the high volume of anonymous website visitors who displayed varied and evolving interests. They realized that their focus on identified visitors drastically limits their capabilities (in addition to cookie constraints and privacy regulations), and is not delivering bespoke experiences that aligns with the real-time user intent, in-session. This gap led to countless missed opportunities, ”one size fits all” journeys, preventing them from maximizing the revenue potential of each visit - by unlocking hyper-personalization.
Kahoona’s Innovative Solution
Kahoona implemented its solution, focusing on real-time, intent-based segmentation, allowing instant response to user category preferences. By embedding Kahoona’s technology, product listings became dynamically rearranged on PLPs in real-time, ensuring that the most relevant items unique to each user’s browsing behavior appeared prominently. This strategy did not rely on irrelevant historical data or long user interactions, making it specifically effective for engaging anonymous visitors from their very first session and early on in the user journey.
Activation Strategy
Dynamic Product Re-Arrangement
Kahoona’s AI predictive hyper-segmentation enabled prioritizing products in key categories based on each and every website visitor’s unique behaviors and affinities.
For instance, if a visitor’s behavior suggested a strong interest in luxury watches, the brand’s Product Listing Pages (PLPs) would automatically showcase curated timepieces at the top, enhancing relevance and engagement, without manual intervention.
Real-Time Adaptation
The brand could immediately adapt to shifts in user interest within a single session.
This allowed them to keep the browsing experience fluid and aligned with the user’s “in-the-moment” product intent, significantly improving the likelihood of conversion.
Engagement
bottom line
The Results
Kahoona’s AI unlocked real-time predictive segmentation translated into tangible improvements in overall site performance:
A 24.2% increase in CTR on PLPs, demonstrating the effectiveness of using Predictive Segmentation to fuel relevant category recommendations.
The number of pages visited per session rose by 19.1%, indicating increase in user interest within the product catalog.
A 12.8% rise in AOV was observed for Kahoona’s segmented visitors, driven by the strategic prioritization of high-intent, high-value products.
Conclusion
Kahoona’s AI solution exemplifies the power of real-time, predictive segmentation in the luxury retail sector. By focusing on timely category intent and delivering a personalized shopping experience from the first interaction, they enhanced user engagement but also optimized the conversion potential of each visitor.
This approach marked a shift from traditional, “garbage in, garbage out” data personalization methods to a more agile, privacy-complaint strategy that directly responds to the “Digital Body Language” of each user, determined by Kahoona, early on in the user journey.
Finally, online brands can now have an effective approach in gaining a deep understanding of each and every website visitor’s behavioral characteristics that make them unique and who they are, whether initially an anonymous visitor or not.
Ready to embrace this cutting-edge technology?
Book a meeting with one of Kahoona’s experts!
