Case Study

Fizz, Fun, and First-Time Buyers: How AI Sparked Engagement for Welch’s Spring Campaign

Unlocking the Elusive Gaming Audience

Refining the Fashion Frontier: Creating New Brand Loyalists

Sailing to Success: How Sequential Messaging Boosted A Cruise Brand’s Full Funnel

Helping Luxury Retailers Find New Audiences and Drive Revenue

Precision Targeting in Pharmaceutical

Steering Towards Change: Uncovering the Shift in Buyer Mindset

Soda Meets Savvy: Top Beverage Brand Increases Engagement with Gen Z

Driving New Customer Purchases and Improving Campaign Effectiveness

Streamlining Lead Generation Through Custom Algorithms

Santa Fe: A Different Approach for 'The City Different'

Style Meets Science: Driving Incremental Store Visits

Charting New Waters: Helping Cruise Line Find Ready-to-Convert Prospects

CLIENT OBJECTIVE

The luxury retail client needed to identify and engage the ideal customer, addressing the disparity in average order values between first-time and repeat buyers.

High-Level Results

88%

increase in share of repeat customers

17%

increase in ROAS

Deep Learning At Work

The model found that users that became repeat luxury retail brand customers with sequential browsing behavior and device usage, reflected a high-end shopper persona while one-timer behaviors fell much more into a “thrifty trendsetter” group.

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