SEGMENTS

Different points of view in Customer segmentation for a better strategic capability.

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ENCBEZADO
About Headshot Example POR RECENCIA
About Headshot Example POR RECENCIA

Recency Segmentation

  1. Analyze segments by recurrence behavior
  2. Identify the best segments to look for recurring purchases
  3. Visualize Customer segments in abandonment thresholds
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Frequency Segmentation

  1. Analyze the most loyal customer segments
  2. Visualize your company's least loyal customers
  3. Identify opportunities to incentivize purchases
  4. Prevent customer churn by knowing the customer thresholds

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AnniQ SEGMENTACIÓN POR FRECUENCIA ANNIQ
AnniQ SEGMENTACIÓN POR FRECUENCIA ANNIQ
AnniQ Segmentation by probability of purchase
AnniQ Segmentation by probability of purchase

Segmentation by probability of purchase

  1. Identifies segments conducive to seeking immediate sales
  2. Design strategies to encourage buying in the months ahead
  3. Visualize your Customers' likelihood to buy in the big picture
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Segmentation by Monetization

  1. Visualizes the distribution of segments from the RFM algorithm by monetization.
  2. Identifies the monetization that makes up each segment.
  3. Analyzes recency and frequency segments.
  4. Filter segments by recency and frequency. 

 

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AnniQ POR MONETIZACION
AnniQ POR MONETIZACION
AnniQ POR TICKET PROMEDIO
AnniQ POR TICKET PROMEDIO

Segmentation by Average Ticket

  1. Visualizes the distribution of segments from the average ticket variable.
  2. Identifies the probability of next purchase and its frequency.
  3. Filter by average ticket and probability of next purchase. 

 

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Segmentation by Probability of Next Purchase

  1. Analyze segments by probability of next purchase.
  2. Identify the customers you have with probability of next purchase.
  3. Visualize segments by purchase frequency.

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AnniQ POR PROBABILIDAD DE PROXIMA COMPRA
AnniQ POR PROBABILIDAD DE PROXIMA COMPRA
About Headshot Example Segmentation by churn risk
About Headshot Example Segmentation by churn risk

Segmentation by churn risk

  1. Analyze customer segments at risk of churn. 
  2. Visualize customers by recency, monetization and likelihood of next purchase. 
  3. Identify opportunities to incentivize customer purchases.
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Segment Analysis

  1. Visualizes the analysis of each segment and its behavior.
  2. Identifies the number of customers that make up each segment. 
  3. Analyzes the segments monetarily, their customers and distribution. 
  4. Visualizes a pareto of segments with 20% of customers with respect to monetization.

 

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AnniQ Segment Analysis
AnniQ Segment Analysis
AnniQ Segmentation by probability of purchase
AnniQ Segmentation by probability of purchase

Segmentation by probability of purchase

  1. Identifies historical sales, their distribution by different segments. 
  2. Visualize the sales history with a filter. 
  3. Analyze in detail the strategies applied to each segment. 
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Top 20% of segments

  1. Visualize in detail the segments composed by the top 20%.
  2. Identify customers by recency, frequency, average ticket, monetization, among others. 

 

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AnniQ Top 20% of segment
AnniQ Top 20% of segment

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