IDP delivers data-driven marketing solutions such as retention analytics with a focus on ‘invasive’ data management and deep-dive data mining.

The most successful weapon to fight customer attrition is a personalized customer experience unique to the individual. — Business2Community, Nov 2015

There are countless ways competitors lure loyal customers. So marketers count on retention analytics to anticipate behaviors, engage customers, reward loyalty and retain loyal customers longer.

Retention Analytics — Benefits

With retention analytics, marketers track customer visits and their purchase frequencies. Retention AnalyticsThey identify purchase patterns, anticipate shopping behaviors and engage customers with relevant offers before a visit. And if a customer hasn’t visited when expected, then marketers tempt that individual with an offer she can’t refuse.

With greater amounts of data being collected about customers, we are seeing segments of one being developed. These are segments of individual customers with unique preferences that can be used to offer individually personalised marketing messages. — Econsultancy, Oct 2015

Retention analytics lets marketers engage customers with offers on items they care about. It not only tempts a customer to make that next purchase, it adds the feeling of special treatment customers expect. Marketers engage customers at unexpected times, with offers on items that complement items purchased. And even reward loyalty with a discount or promotion on specific items, encouraging subsequent purchases.

In addition to combating churn, customer experience management creates new income streams. Understanding subscriber experience drives new revenue. As you understand your customers better, you can run really effective campaigns for selling new services. Over time, you improve your business model, revenue and customer satisfaction. — RCRWireless News Aug 2016

Retention Analytics — Challenges

Retention analytics are not rocket science. The sales data holds the details. And the analytics can be tailored to customer segments or even individuals. The data management and data mining, however, are complex and require a deep dive into transactions and complex joins with customer and product data.

A problem marketers run into is that they don’t have the skillset to understand and manage data, along with properly running tools to analyze and gather data… you have to be able to take this data and make it into a story… — Forbes, Oct 2015

Many business analysts don’t engage in retention analytics because they lack data management skills. They aren’t trained in deep-dive analytics; they can’t manage complex data, or disparate data sources. So analysts create incomplete or error-filled reports. Marketers don’t get the customer picture they need and lose confidence in both reporting and data.

Retention Analytics — IDP

Retention AnalyticsAt IDP, we know that the most critical part of marketable analytics is accurate, reliable data. But your data is challenging and you have limited resources.

We remove the requirement that business analysts manage large and complex data volumes — bridging the gap between data management and analytics — so analysts focus, not on data, but on making recommendations from statistics.

We manage those large data volumes with complex structures and we integrate disparate data sources. And we always collaborate with marketers to generate analytics that produce marketable results.


When the supporting data is rock solid, then Retention Analytics become much, much easier!