RedPill Analytics is an end-to-end marketing service to create ROI from customer data. This is a technology-agnostic and returns-focused solution to increase your customer value. Analytics provides a systematic approach for maximising the value from any marketing initiative like:
Developing segmented offers
Reducing churn
Attracting and retaining high value customers
Creating targeted promotional campaigns
Identifying key marketing challenges and operational issues
Most major companies have identified "increasing customer value" as a strategic priority. Consequently, they have invested millions in CRM technology, business intelligence, data warehousing and related technologies.
However, many of these investments are yet to result in positive ROI. Organisations face a few key issues in achieving this goal:
Data is not available in one place. Even when available, it is of questionable quality.
Business users are not comfortable with the IT systems as these processes are not integrated. Sometimes they get overloaded by information that is not relevant to them.
Much of the information and reports do not reach the analysis stage and very rarely does any decision-making happen based on this information.
The conventional answer to the problems above has always been a further investment in technology, without any assured increase in returns.
What is Analytics?
Our Analytics model is meant to address each of these issues and still find a way to generate insights and hence customer value. It transforms data into dollars today, while simultaneously creating long-term differentiation for the organization.
The 5 step holistic approach is focused on maximizing the returns from data analytics:
We start with business issues & opportunities, to avoid any technology/operational limitations
Analysis & mining are done on existing data that is relevant to the business opportunities
All relevant insights from analysis are converted into implementable 1-to-1 programmes
While the organisation is being mobilised for programmes, pilot programmes are implemented to test assumptions and evaluate value
Metrics for tracking programme performance are put in place to refine and improve the program effectiveness
Does Analytics Pay?
There is increasing evidence of companies using analytics for decision-making and creating customer value. (Click to see examples)
How is Analytics different?
Our approach focuses only on 'creating customer value'. It's distinctiveness can be highlighted in 5 key aspects:
Further, we have customisable analytical tools like i-Opener that help companies standardise and track their business performance continuously. i-Opener, a 'CEO Dashboard', is a performance analytics tool assisting the CEO and the senior management to keep a pulse on their business.
i-Opener helps you by:
Deciding the key performance indicators that would help translate the vision into strategy enabling quick and effective decision making
Providing consistent and regular information (and trends) linked to their most important KPIs
Flagging key issues and providing drill-down to the root cause of these issues through well-linked operational measures
The model is powered by our proprietary analytical framework that consists of:
Dynamic Behavioral Segmentation Model
Customer Portfolio Maps
A series of Customer Scores and Analytical engines
Based on the analysis/segments generated by this system, we develop and run 1-to-1 marketing campaigns. Finally our tracking loop ensures the client is able to measure lifts and build constantly refinable response models.
Most major companies have identified "increasing customer value" as a strategic priority. Consequently, they have invested millions in CRM technology, business intelligence, data warehousing and related technologies.
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