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Case Studies

ALL CASE STUDIES

Media and Telecommunications

Forecasting and Planning

Personalization AI

Predictive Modeling

PREDICTIVE MODELING

B2C Subscription Organization

The company used Abacus.AI to reduce customer attrition and increase revenue using a predictive model for identifying at-risk customers

Problem

Existing models were not accurately identifying the customers likely to churn, resulting in lost revenue

Solution

The company used Abacus.AI Customer Churn solution to develop a model to accurately identify, and engage with, customers most likely to churn

Results

The company reduced customer churn, and achieved higher growth and revenue

Deployed a model that makes 5m predictions/month

4x improvement in accuracy

Reduced customer churn by 20%

PREDICTIVE MODELING

Food & Beverage Consumer Goods Company

The company used Abacus.AI to optimize marketing efforts by targeting leads with high conversion potential, significantly improving efficiency and sales outcomes

Problem

The company wanted to optimize sales and marketing resources by prioritizing leads to target over large amounts of data

Solution

The company used Abacus. AI Predictive Lead Scoring solution to develop a model to accurately determine top leads to target

Results

The company improved sales and marketing efficiency and increased conversion rates

Improved conversion rates by 7x

Trained a model on 10M rows of data

80% accuracy

PREDICTIVE MODELING

Global eSignature Company

The company used Abacus.AI to minimize customer loss by implementing an advanced churn prediction system

Problem

Existing models were not accurately identifying the customers likely to churn

Solution

Used Customer Churn solution to accurately identify and engage with customers more likely to churn

Results

Reduced customer churn and increased revenue

Reduced customer churn by 20%

Deployed a model that makes 5m predictions/month

4x improvement in accuracy

PREDICTIVE MODELING

Financial Services

The company used Abacus.AI to implement advanced fraud detection capabilities in wire transfers

Problem

A leading financial services company wanted to identify fraud in wire transfers

Solution

Used a supervised model to identify transactions that are fraudulent

Results

Increased fraud detection and improved existing models

Caught 85% of fraud

Improved accuracy of existing models by 30%

PREDICTIVE MODELING

Personal Styling B2C Company

The company used Abacus.AI to increase customer satisfaction and revenue by using predictive modeling

Problem

The company wanted to reduce costs and increase revenue by sending clothing that was more likely to be kept by their >100k subscribers

Solution

Used Predictive Modeling solution to build a custom classification model to predict the likelihood of an item being kept

Results

The percentage of items kept by customers increased

Percentage of items kept increased by 30%

Revenue increased by 18%

Shipping cost decreased by 8%

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