Analytical module of the loyalty program

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Analytical module of the loyalty program

Analytical module of the loyalty program The analytical platform of the XRM Loyalty solution with flexible scenarios for using BI tools, data mining methods, integration with social services, and offline analytics tools allows you to maximize the profile of the client and its behavior (not only purchases, but also actions, moving in the trading floor). form trends, build hypotheses for the formation of an adequate loyalty program, the system of trade marketing and communications policy

Data Mining

Form a portrait of a loyal customer

Analysis of behavior models using data mining algorithms provides effective mechanisms to stimulate sales (including cross-sale and up-sale) and customer retention, including identification of the possible last purchase.

Analysis of purchase chains (with details to check lines) reveals trends in customer behavior for making appropriate decisions and introducing retention mechanics or customer development.

The outflow analysis allows: to identify clients who are prone to withdrawal, for proactive actions; conduct appropriate actions aimed at retaining clients and differentiate these shares for different segments of customers; predict the losses caused by the outflow of customers.

Tracking and analytics in the trading floor.

Mobile location analytics allows users to collect and interpret data (cellular, Wi-Fi and Bluetooth devices) by a number of parameters in order to analyze conversion paths for their optimization: quantitative and qualitative data on the behavior of visitors within the trading floor (shopping center) for effective interaction with them.

Identification of the visitor can also be done using an RFID tag scanner or an active mobile application on the device.

Mood analysis and data enrichment

Microsoft Social Engagement allows you to monitor the level of loyalty to the products, brands or competitors of the company in social networks, and analyze the current situation in the market in real time.

The "social engineering" module allows you to automatically retrieve public data from your customer profiles in popular social networks to enrich the customer's card with socio-demographic data and further use for customer segmentation purposes.

Business Intelligence

Reporting (more than 60 reports available) using a wide range of algorithms, methods and metrics of sales analysis, segmentation and clustering of clients, including:

"Leaky Bucket", Customer Life Cycle, RFM Analysis, NPS Analysis, CLV (Customer Value), CSI (Customer Satisfaction).

With the dynamic reporting system in XRM Loyalty, you get a complete cut of information for a timely response to changes in customer behavior.