Preventing customer port-outs

Port-Out Model

Obtain a crucial advantage by identifying high-risk customers prone to switching to competitors.

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Propensity Scores

Customer propensity scores to port-out their service, including deciles and centiles

An increasing gauge
Top Model Predictors

Understand the key predictors of customer port-out

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Model Impact

Performance assessment and ROI simulation

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Insights Session

Empower your port-out retention strategies with precision targeting

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Preventing customer port-outs

Prediction Window Choices

This describes how far ahead in the future this model can be trained to predict. Ideally, the historical data available for training would be 2-3 times longer than the prediction window.

Weekly
Monthly
Quarterly
Six-Month
Yearly
2+ Years
model pricing

Empower your business to proactively retain customers.

one time purchase

$50K

Identify at-risk customer segments likely to port-out.

Propensity scores, including deciles and centiles
Top model predictors
Model impact and ROI analysis
Insights session
ongoing service
Popular

$45K

Month

Implement preemptive strategies that keep your customers loyal through customized engagement.

Everything from One Time Purchase
Tracking top model predictors
Seamless model refresh with market trend changes
Quarterly deep-dive strategy session
10% discount on full model price

Typical timeline.

A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.

Setup
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(1 week)
Determine scope and business requirements
Establish engagement date
First payment invoice sent (10%)
Building
Electrons orbiting an atomic nucleus
(2-3 weeks)
Access required data sources and conduct data assessment
Model training and performance tuning
Second payment invoice sent (40%)
Delivery
A magnifying glass over data insights
(1 week)
Present model deliverables
Model performance analysis
Insights session and recommended next steps
Final payment invoice sent (50%)
ai agent integration

Improve acquisition with AI agent priming.

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Preventing customer port-outs

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