Optimize Your Retention Strategies with Future Customer Lifetime Value
Pinpoint your highest and lowest lifetime value customers across every segment so you know where to direct your spend and efforts.
Go Deeper with Advanced Customer Segmentation Options
Divide your customer base into micro-segments based on characteristics derived from their customer lifetime value.
High Value Customers: Split by frequency and basket size: Keep your high-frequency buyers happy with consistent messaging, and time your retargeting carefully to avoid annoying seasonal buyers, infrequent shoppers, and resellers.
Medium Value Customers: Split by probability of churn: Reduce churn by identifying less active buyers and reaching out with targeted promotions.
Lowest Value Customers: Split by potential value: Offer your best promotions to customers with the highest potential lifetime value.
Execute on Segment Insights
Once you have retrieved your predictive data, you can act on it with Zodiac’s integrated toolsets, which include Facebook, Google, marketing automation, and business intelligence capabilities.
Apply additional attributes (app or content downloads, loyalty program participation, demographics, etc.) to retarget any segment.
Find “Falling Angels” (declining high-value customers) and re-engage them before they churn.
Find “Underachievers” who could be spending more according to those with a similar persona.
Retarget potential customers when they are in the market for a purchase.
Seamlessly integrate Zodiac’s CLV data into your CRM or BI tool to streamline workflow. Automatically populate retargeting lists for export into any campaign system.
Related Customer Acquisition Resources
As you build your 2018 marketing plan, you are probably looking to optimize for traditional marketing metrics like CPA, ROAS, and overall conversions. While those are certainly important measures, they become infinitely more valuable and meaningful with the addition of Customer Lifetime Value.
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Want to get a “reading” from Zodiac? Talk to us about running a pilot with existing data so we can show you just how accurate our models are.