Segmentation Unlocked.
Target valuable customer groups, enhance retention and boost sales– no data science skills needed.







Discover Simple Yet Powerful Customer Segmentation
Effective customer segmentation is essential for eCommerce and retail success. By dividing your customer base into distinct groups, you can tailor your marketing efforts, product offerings, and retention tactics to boost sales, satisfaction, and long-term growth. Daasity supports key segmentation strategies such as:
By Value
Segment your customers by order value or value segment metrics like AOV and High-Value Customers.
By Retention
Segment customers through retention metrics such as LTV, repurchase rates, and RFM analysis.
By Time
Use time-based segments metrics like time between orders and time cohorts to further segment customers.
Uncover Deeper Customer Insights
Segment your customers by their behaviors to understand what resonates with different groups, enhancing retention and driving stronger relationships.
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First SKU Purchased
Increase the likelihood of repurchase with targeted offers based on the first product purchased and Daasity’s product affinity analysis.
First Purchase Channel
Allocate budget to the most effective channels based on where customers first engage with your products.
Advanced Segmentation
Deliver tailored messages by segmenting your audience into specific cohorts, such as discount versus full-price purchasers and subscribers versus non-subscribers.


Maximize Results through Better Segmentation
Drive improved business outcomes with strategic segmentation for eCommerce and retail.



Powering Some of the Fastest Growing Brands
Izzy Chafkin, VP of Operations and Finance

growth over multiple years
by catching warehouse shipping errors

Josh Knopman, Director of Growth & Digital Product

increase in new SKU pricing
increase in blended SKU

Lanny Chui, VP of Analytics and Business Intelligence
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connected data sources
Daasity’s transform code, accelerating analytics

Dave Olivia, Senior Manage, eCommerce Growth

increase in LTV in top 4 segments
per week saved on manual data work

Curtis Howland, Director of Marketing

saved in fulfillment overcharged
per week saved on manual data work

Get Greater Customer Insights
with Daasity Today.
