Customer analytics
We help our Clients to understand their customers better in order to drive more targeted customer retention
and revenue generation programs.
Customer segmentation
• By developing an understanding of customer demographics, and buying behavior aaum's analytical engines
are able to intelligently segment a Client's customer base thereby enabling the implementation of optimally targeted marketing programs and services.
Customer Acquisition ( acquiring new customers)
• Given the continuously increasing number of competing products, the increasing number of consumer influence channels
and varied consumer preferences, the retailer must find the most cost-effective ways of acquiring new customers.
• aaum's customer acquisition solution greatly enhances marketing efforts by using predictive analytic algorithms in conjunction
with existing customer information, demographic and geographic information to pinpoint target consumers who would have a high probability of responding to a
particular marketing offers -- thus becoming customers. This would allow retailers to implement customer acquisition programs at a lower cost and with a
higher degree of success.
Customer Retention ( retaining existing Customers):
• With intense competition in the marketplace the retailer needs to fiercely hold onto his customer base. Customer
loyalty needs to be rewarded and customer attrition needs to be minimized. Businesses tend to respond to customer attrition on a reactive basis, acting
only after the customer has initiated the process to terminate service. At this stage, the chance of changing the customer’s decision is almost impossible.
Proper application of predictive analytics can lead to a more proactive retention strategy.
• aaum allows the retailer to frequently examine a customer's past service usage, service performance, spending and
other behavior patterns. Using predictive models aaum can then determine the likelihood of a customer wanting to terminate service. At this juncture
intervention with lucrative offers can increase the chance of retaining the customer.
• Silent attrition is the behavior of a customer to slowly but steadily reduce usage and is another problem faced by
many companies. aaum's predictive analytical solutions can help organizations identify this behavior accurately and early so that the retailer can act
proactively to regain the customers loyalty to the brand.
Up-sell and Cross-sell
• A Company's database is a gold-mine of information about a customer's relationship with the company and the brand.
Organizations collect and maintain abundant data about customers (e.g. customer records, payment transactions/behavior) and exploiting the hidden
relationships in the data can provide competitive advantage to the organization.
• For Company's that offers multiple products, an analysis of existing customer behavior can lead to can lead to
valuable insights into "market baskets" which can in turn lead to profitable up-selling and cross-selling opportunities. This directly leads to higher
profitability per customer and strengthens the customer relationship. In addition aaum's predictive analytics can help analyze customer's spending,
usage and other behavior, to help cross-sell the right product at the right time!
Life time value improvement
As modern economies become predominantly service based, companies increasingly derive revenue from the creation and
sustenance of long-term relationships with their customers. In such an environment, aaum enables organizations to maximize customer lifetime value (CLV)
by using dynamic analytic frameworks that enable organizations to maintain or improve customer relationships proactively.