AB Tasty and Interflora: AI Enhances Personalization
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AI: A Transformative Lever for Marketing Personalization
Personalization has long been a cornerstone of marketing strategies, yet it is often perceived as inadequate by consumers. In fact, 60% of them consider their experiences to be poorly personalized, highlighting a major challenge for brands: to offer truly tailored journeys without complicating their operations.
AB Tasty, in collaboration with Interflora, is hosting a webinar to demonstrate how artificial intelligence (AI) is redefining personalization. The goal is to show how this technology enables marketing teams to gain speed, precision, and performance.
Interflora: A Concrete Success Story Thanks to AI
Kévin Fatiguet, UX Lead at Interflora, will present during the webinar how his team managed to increase the successful testing rate from 25% to 60% thanks to AI. This significant improvement is based on concrete cases aimed at boosting conversions.
The webinar will address three key operational challenges: the practical cases deployed by Interflora to enhance conversions, strategies for effectively aligning UX and merchandising teams, and advanced analysis of visitor behaviors based on their emotional profiles.
Towards Immediate and Accessible Personalization
Beyond the example of Interflora, this topic illustrates a broader transformation of digital strategies. With the AB Tasty Personalization solution, brands can create targeted and personalized experiences to optimize every step of the customer journey. This approach allows for the adaptation of experiences based on visitors' behaviors, preferences, and context.
The aim is to make personalization easier to activate, faster to deploy, and directly performance-oriented. In an environment where every interaction counts, delivering the right message, the right offer, or the right journey at the right moment becomes essential for improving engagement and conversions.
AI: The Engine of Digital Optimization
Personalization is entering a new era: it is becoming less static, more dynamic, and increasingly driven by data and behavioral signals. AI enables faster analysis, reveals less visible insights, and creates individualized journeys at scale.
For marketing, UX, and merchandising teams, the challenge now is to personalize more quickly and precisely, with a measurable impact on performance.
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