The Problem
Lost Revenue from Inactive Customers
Every global retail brand is sitting on a goldmine of customer data—but most of it remains untapped. Millions of potential buyers have interacted with your brand but have gone silent. Traditional marketing focuses on acquiring new customers, but what about the ones who already know and love your brand?
The Data-Proven Problem
- On average, 60% of a brand’s revenue comes from returning customers, yet most marketing efforts prioritize new customer acquisition and fail to capitalize on reactivation opportunities.
- Only 28% of customers place more than one order—meaning 72% of potential lifetime revenue is lost after the first purchase..
- Customer acquisition costs (CAC) have risen by over 60% in the past five years, making customer retention and reactivation more cost-effective than ever.
THE SOLUTION
Imagine if every one of your inactive leads had a personal stylist guiding them back to your brand—reminding them why they loved your products in the first place. AI-driven customer reactivation allows brands to offer that high-touch, tailored experience at scale.
AI-POWERED CUSTOMER REACTIVATION
How It Works
- AI identifies the best leads to re-engage based on past behavior, purchase history, and interest signals.
- Each customer receives a personalized conversation, not a generic marketing blast. AI adapts its tone and messaging dynamically.
- Customers feel personally guided back to a purchase, just as they would in a luxury retail store with a personal stylist assisting them.
Why This Works
- Unlike marketing emails that get ignored, this creates real, human-like engagement that feels like a one-on-one shopping experience.
- AI allows brands to scale personal attention in a way that was never before possible.
- Instead of relying on one-size-fits-most promotions, customers get recommendations that feel custom-tailored.
THE RESULTS
AI-driven reactivation has already transformed how brands engage past customers, leading to significant revenue growth without increasing acquisition costs
What They Are Already Seeing
Key Outcomes from Past AI Implementations
- 5x increase in outreach effectiveness compared to traditional sales & marketing efforts.
- Significant revenue upside recovered in revenue from previously abandoned leads for an eCommerce brand with an $80 AOV.
- Projected 2.8% conversion rate on inactive leads, leading to millions in recovered sales for global brands.
What This Means for You
- If your brand has a database of inactive customers, you’re sitting on millions in unrealized revenue.
- AI-driven reactivation can significantly increase revenue in eCommerce sales alone.
- No additional infrastructure or ad spend needed—just smarter customer engagement.