Data Analytics Manager [DAM]™

Data Analytics Manager (DAM)

Extract Reports In Real Time With Advanced Segmentation

Data Analytics Manager [DAM]™

Real Time Data Analytics & Clustering

Data is the oil of the new economy. Loyalty programs are the price you pay for capturing valuable billing and consumer data and you earn profits from careful mining of your POS data.

Tagging billing data to each specific consumer gives you access to great insights into consumer buying behavior. Once analyzed, this can help create strong predictive models to drive much higher purchase / repeat for your business.

Multi-level views to
track & measure
business performance

Paytm m’Loyal™ engine focuses on providing deep analytics in various permutations & combinations to get to understand and create trends of your consumer behaviour.

Analyze consumer
buying behaviour

Data mining would define the future of our business in the coming years. With consumer choices exploding and his omni- channel usage, analytics would define store locations, product category innovation and above all direction / channel and theme of all marketing campaigns.

Key Features

Automated / dynamic daily views

Get daily analytics on program performance and opportunity loss in your inbox to help take corrective actions and drive much higher ROI / sales.


Executive dashboards showing overall loyalty program performance, predictive analysis and providing dynamic recommendations based on defined rules & logic.


Visual analytics / trends using charts & graphs to get a quick glance at performance ratios, store analytics, product category trends, consumer cluster performance and ROI analysis.

Quick view

Get access to vital stats on your loyalty members, loyalty purchases, repeat sales, top member contribution to business & points – earn / burn analysis.


Exhaustive customer views defining customer clusters, SKU performance, store performances, loyalty tier movement, campaign ROI, fraud checks, daily /weekly /monthly trends and much more in-depth insights.

Category wise repeat sales

% Repeat members

Among repeat members, home users have repeated most followed closely by organic food & personal care.

% Member penetration

Only 16% members have shopped organic food/personal care products.

Opportunity to cross sell these products to garment shoppers.