Customer Segmentation Analysis

Active

Total Records

1,248,753

12.5% from last week

Attributes

47

8 categorical, 39 numerical

Processing Time

3.2s

AI-optimized pipeline

Model Accuracy

94.7%

Needs improvement

Customer Segmentation Clusters

Cluster 1 Cluster 2 Cluster 3 Cluster 4

Cluster Characteristics

Size 312,188 (25%)
Avg. Age 34.2 years
Avg. Income $72,450
Purchase Freq. 3.2/month

Top Attributes

Urban residents 89%
College educated 76%
Tech enthusiasts 68%
Premium subscribers 52%

Recommended Actions

Algorithm Selection

Data Preprocessing

StandardScaler, PCA

Clustering

K-Means (k=4)

Evaluation

Silhouette Score

Score: 0.72

Advanced Options

Add algorithm

Data Mining Pipeline

Data Source CSV Import Preprocessing StandardScaler Dimensionality PCA (n=5) Clustering K-Means (k=4) Evaluation Silhouette
Pipeline valid

Data Preview

ID Age Income Spending Cluster Actions
CUST001 32 $68,200 $1,250 Cluster 1
CUST002 45 $92,500 $2,780 Cluster 2
CUST003 28 $52,300 $890 Cluster 3
CUST004 38 $112,000 $3,450 Cluster 4

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