Discover Your Customer Lifetime Value (CLV)
We have successfully predicted the indivual-level Customer Lifetime Value (CLV) for your customers! Here's an analysis of what our model found:
Median Total CLV
Key Metrics (Feb 28, 2017 - Jan 26, 2020)
- Number of Customers Analyzed: 32,143
- Avg. value per customer: $437.49
- Avg. days between orders: 15.03
Download your per-customer Total CLV data:cloud_download Download
trending_up Smart Acquisition via Facebook
Retina's per-customer CLV scores can be used to reduce acquisition costs, and increase the long-term value of the customers who are acquired.
Use your labeled data to generate a Facebook Value-Based Lookalike Audience . Then use this audience for your Facebook campaigns. Retina's labeling will capture both the past and future value of your customers, resulting in better targeting for each customer's actual customer journey.
Manually download your Value-Based Audience Seed and upload it to your Facebook Asset Library
Why is predicted LTV important?
Predicted Customer Lifetime Value captures the entirety of your customers' expected future behavior with your brand. Given that the typical LTV of your customers is $360, your cost of acquisition (CAC) should be no more than 1/3 of that amount, adjusted for costs.
How did we compute this?
We looked at your orders and customer buying patterns and built a customer behavior forecast at the individual level.
Your data had 32,143 customers over the period of 2017-03-01 to 2018-10-25 with 136929 total transactions.
How can you use this data?
Acquisition Strategy: Use this with Value Based Lookalike tools to reduce your Customer Acquisition Cost. We have seen our customers reduce CAC by 17-25% with this strategy.
Retention Strategy: Use the segments and notifications to engage your customers based on their predicted segments: Champions, At Risk, Lost, etc.