AI Customer Intelligence

Dashboard

Last updated: --

Average CLV

$0

Portfolio average customer lifetime value

High Value Customers

0%

Share of customers in VIP segment

At Risk Customers

0%

Customers with elevated churn probability

Revenue Projection

$0

Expected 12 month projected revenue

CLV Distribution

Churn Risk Mix

12 Month Revenue Forecast

Customer Profile Inputs

Prediction Output

Awaiting prediction

Prediction API • Machine Learning Model v1

Predicted CLV

$0

Customer Segment

-

Churn Risk

-

Confidence Score

-

Recommended Business Action

Run a prediction to generate a recommendation.

Customer ID Predicted CLV Segment Churn Risk Recommended Action

Conversion Rate by Age

Analyze how customer age affects purchasing behavior and conversion rates.

Total Visitors

0

Visitors within selected filters

Total Purchases

0

Converted visitors who completed purchase

Overall Conversion Rate

0%

Purchases divided by visitors

Best Performing Age Group

-

Highest conversion segment

Filters and Controls

Conversion Rate by Age Group

Purchase Distribution by Age

Age vs Purchase Probability

AI Marketing Insights

Click Generate Insights to get data-driven marketing recommendations for each age segment.

01

Frontend Dashboard

Prediction Studio and KPI dashboards collect user input and visualize CLV outcomes.

02

Machine Learning Model

ML model estimates customer lifetime value and churn risk from behavior and profile features.

03

Prediction API

Single prediction interface serves outputs to the app regardless of selected model engine.

04

Customer Analytics

Predictions feed dashboard analytics, customer insights, and conversion intelligence modules.

Active Model and Dataset

Machine Learning Model v1

Linear ML model (trained offline on the included dataset) for CLV and churn probability.

Training Dataset

File path: data/customer_clv_training_dataset.csv

Download Dataset

Why the AI predicted this value

Run a prediction in Prediction Studio to generate a personalized explanation.

Monthly Spend 0%
Engagement Score 0%
Tenure 0%
Purchase Frequency 0%

Scenario Controls

Projected CLV Impact

Baseline CLV

$0

Scenario CLV

$0

Potential Uplift

0%

Increase engagement and purchase frequency to lift long-term customer value.

CSV Data Upload

Upload customer rows and ValuePulse AI will run CLV and churn predictions automatically.

Expected columns: customer_id, monthly_spend, tenure, support_tickets, last_purchase, engagement_score, plan_tier, purchase_frequency

Use sample_customer_upload.csv to test uploads.

No file uploaded yet.

Customer ID Predicted CLV Segment Churn Risk