Creative Customer Personas

Our Retail Client with 1000 plus products, has an engagement app, exclusively for its members. The estimated users are over 15 million with 37% active and 63% inactive members. The objective is to engage with active customers to improve the frequency and ticket size. Regarding the inactive users, how to make them active.

Key Focus of our Solution
We design successful campaigns by offering individualised shopping experiences with a targeted campaign.

Our customer centric Ai driven modeling framework creates personas from over 15 million customers. Over a 100 statistically significant attributes are identified for segmenting the personas. The virtual personas helps to gain a deeper understanding of the customers buying pattern.

Steps for an effective Customer Value Journey

Deepening Engagement by more visits
Improve Product lift with NBR
Customer Retention by Active Persistency
More Revenue with Win Back
Personalised offers by Personas
Moving up the Customer Value Chain
Sales Trends & Forecast

Improving Customer Value Journey

Our solution built an intelligent customer engagement framework that improves average ticket size and increased active users. By creating personas for personalised engagement, we could transition Aspirers to Potential Loyalists and Potential Loyalists to Highly Loyalist.

How we made Analytics Work?

CLTV Driven Value Enhancement
Winback Propensity Model to activate customers
Customer Persona Clusters to targeted campaigns
Personalized Product Recommendation for improve engagement

Effective Tech Stack

We created AWS Tech Stacks for Real Time Triggers comprising of Log Input Stream, Amazon Kenesis, Output Stream, Lambda, Amazon Cloudwatch, and IAM for providing user based NBR. Based on NBR, the Push Notification was made for re-engaging latent users by delivering to home screen. In-App Messages were also successfully delivered for higher engagement - specific to users with Rich design capabilities.

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