SEGMENTS
Different points of view in Customer segmentation for a better strategic capability.
SCHEDULE DEMO
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Recency Segmentation
- Analyze segments by recurrence behavior
- Identify the best segments to look for recurring purchases
- Visualize Customer segments in abandonment thresholds
Frequency Segmentation
- Analyze the most loyal customer segments
- Visualize your company's least loyal customers
- Identify opportunities to incentivize purchases
- Prevent customer churn by knowing the customer thresholds








Segmentation by probability of purchase
- Identifies segments conducive to seeking immediate sales
- Design strategies to encourage buying in the months ahead
- Visualize your Customers' likelihood to buy in the big picture
Segmentation by Monetization
- Visualizes the distribution of segments from the RFM algorithm by monetization.
- Identifies the monetization that makes up each segment.
- Analyzes recency and frequency segments.
- Filter segments by recency and frequency.




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Segmentation by Average Ticket
- Visualizes the distribution of segments from the average ticket variable.
- Identifies the probability of next purchase and its frequency.
- Filter by average ticket and probability of next purchase.
Segmentation by Probability of Next Purchase
- Analyze segments by probability of next purchase.
- Identify the customers you have with probability of next purchase.
- Visualize segments by purchase frequency.
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Segmentation by churn risk
- Analyze customer segments at risk of churn.
- Visualize customers by recency, monetization and likelihood of next purchase.
- Identify opportunities to incentivize customer purchases.
Segment Analysis
- Visualizes the analysis of each segment and its behavior.
- Identifies the number of customers that make up each segment.
- Analyzes the segments monetarily, their customers and distribution.
- Visualizes a pareto of segments with 20% of customers with respect to monetization.








Segmentation by probability of purchase
- Identifies historical sales, their distribution by different segments.
- Visualize the sales history with a filter.
- Analyze in detail the strategies applied to each segment.
Top 20% of segments
- Visualize in detail the segments composed by the top 20%.
- Identify customers by recency, frequency, average ticket, monetization, among others.



