Acquire and prioritize the customers who will be worth the most
Revenue Radar builds proprietary predictive models to anticipate the lifetime value of every shopper and captures new high-value leads through automated social media campaigns.
Not every customer is worth the same, yet they are all chased the same way
Without a model of future value, the marketing team spends the same budget on a one-off buyer as on a customer who will keep coming back to the store or the online shop.
Generic acquisition
Social media campaigns target the general public, without telling apart which profile will generate more value in the long run.
Unknown future value
The team cannot tell which customer will buy once and which will become a recurring, high-ticket customer.
Misallocated budget
Without a lifetime value prediction, the acquisition budget is split evenly between high- and low-potential leads.
Value prediction and acquisition in a single solution
It combines a proprietary customer value model with automated campaigns that look for that same profile on social media.
Proprietary lifetime value model
Builds a predictive model trained on in-store and online purchase history to anticipate the future value of each customer.
Automated social media campaigns
Launches and tunes campaigns on Meta, TikTok or Instagram aimed at the highest predicted value profile.
Lead prioritization
Ranks incoming leads by their estimated lifetime value so the sales team knows which to follow up first.
Continuous optimization
Retrains the model with every new purchase to sharpen the prediction and the campaign targeting.
From historical data to a campaign that captures value
The solution learns from your customer history and uses it to steer acquisition on social media.
It connects to your customer data and your campaign platforms
It does not replace your CRM or your ad platforms: it connects to them and adds the predictive layer they lack.
CRM, sales and social media
CRM, in-store and e-commerce purchase history and ad platforms such as Meta, TikTok or Instagram.
Revenue Radar
Predicts each customer's lifetime value and points automated campaigns at the highest-value profile.
Prioritized leads and live campaigns
Sends value-scored leads to the CRM and automatically adjusts running campaigns.
The marketing team validates the target profile and the budget; the solution executes and prioritizes.
Where the impact is most noticeable
E-commerce and multichannel retail
Prioritizes the leads most likely to become recurring, high-ticket customers.
Fashion and lifestyle retail
Focuses social media acquisition on the shopper profile with the highest estimated lifetime value.
Loyalty programs
Shifts campaign budget towards the audience segment with the best lifetime value.
A retail chain that spent the same budget on every lead, whatever it was worth
A real example of the kind of situation this solution solves.
The marketing team spent the same budget per lead across all its social media campaigns, without telling apart which profile would buy once and which would become a recurring customer.
Acquisition cost was identical for a high-value customer and for a one-off buyer, diluting the real return of every campaign.
Revenue Radar built a lifetime value model from the customer history and redirected the campaign budget towards the highest predicted value profile.
Social media campaigns started bringing in a higher share of leads that matched the recurring customer profile, and sales followed them up by estimated lifetime value.
Win the customers who will be worth the most
We will show you, with your own data, how Revenue Radar predicts lifetime value and steers your acquisition campaigns.