8Leads Seeda Site

Tina M Copenhagen Boosts CTR by 68% and Trims CAC by 40% Using Seeda's Predictive Audience Targeting

Industry:

Fashion E-commerce (Boutique Hats)

Location:

Australia

Product:

Seeda's Predictive Audience Targeting Platform

68%

CT Boosts

40%

CAC Trims

The Challenge

Tina M Copenhagen was struggling with:

Low click-through rates on digital ads
High and rising customer acquisition costs
Difficulty in personalizing offers across diverse customer segments
Ineffective retargeting strategies

The Seeda Solution

Reform Digital adopted Seeda's advanced Marketing Mix Modeling (MMM) solution to revolutionize its approach. This integration enabled them to:

Extract insights from years of cross-channel marketing data
Measure exact ROI across their entire client portfolio
Generate data-backed spending projections
Structure their marketing investments for optimal client outcomes

The Knockout Results

After implementing Seeda's predictive targeting strategies:

68% increase in Click-Through Rate (CTR)
40% reduction in Customer Acquisition Cost (CAC)
70% improvement in customer retention rate
90% boost in average purchase frequency

‍

Key Insights:

UV index forecasts strongly influenced hat style preferences, varying by region

Users who engaged with sun protection education content had 3x higher purchase frequency

Time-based targeting improved CTR by 80% for upcoming outdoor events and holidays

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