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Avior Drive Success of Loyalty Program with Data Science

A data management platform that stitches data together to provide insights on creating an omnichannel loyalty program experience for the right audience.

Avior provides relevant rewards based on flexible loyalty programs to customers. It focuses on ensuring that every customer has a seamless multi-channel experience that reduces customer service issues.

Avior Screen

Business Overview

Business Overview Illustration

We were hired to help our client in identifying key areas where customer loyalty can be increased with targeted customer rewards. We innovatively re-designed the thinking of customer loyalty programs by developing Avior.

Created exclusive event invitations with premium eligible purchasing memberships that build personalized experience and devotion within customers. We leveraged the power of loyalty marketing.

Developed effective data management systems that review the customer behaviour background and creates a personalized custom fit with outstanding rewards.

The Challenge

We had to build an intelligent customer software that understands customer behaviour patterns to maximize the loyalty program conversion potential.

Collecting, storing, organizing, and disseminating customer intelligence data to improve customer participation in buying promotional items.

Measure and evaluate all the objectives set regarding customer satisfaction, ROI, and monitoring customer retention metrics.

Challenge Illustration

Our Approach

Used predictive analytics to increase customer engagement and maximize return on customer loyalty. We built Avior in such a way that it functions with predictive modeling. Match customer profiles with appropriate retail outlets and loyalty programs through automated calibration of predictive modeling.

Data Consolidation

Data Consolidation

Used historical transactions to create loyalty data that provides automated data increments to build a customer-centric loyalty data warehouse.

Recommendation Engine

Recommendation Engine

Influence customer recipients by compiling customer behaviour and using collaborative filtering to provide targeted recommendations

Predictive Modelling

Predictive Modelling

Used gathered data to predict customer value to improve customer alignment, their needs and to ensure no loyalty programs are overlooked

Personalized Rewards

Personalized Rewards

Created personalized dashboards that provide appropriate data reports and alerts about necessary loyalty campaigns to provide customer rewards

Loyalty Analytics

Loyalty Analytics

Provided a data roadmap that helps in enforcing categories and creates visibility to priority customers to enhance customer churn rate with data analytics

Systematic Modelling

Systematic Modelling

Built a points-based system and a tier system that provides customers with initial loyalty rewards that encourage them to make more purchases

Project Highlights

  • Avior devises new customer engagement programs by providing insights and analytics on customer loyalty.

  • Automated reporting helps in creating appropriate loyalty programs based on customer transactions.

  • Provides a single view of the customer by consolidating existing customers with new loyalty programs.

Results – A journey from Ideas to Success

Automatically segment customers based on target metrics

Track loyalty campaign performance

Technologies we used

Microsoft Dynamic 365
Microsoft Dynamic 365
Apache Spark
Apache Spark
Tensor Flow
Tensor Flow
Python
Python