Marketing & Customer Analytics

In difficult and uncertain business environments when the axe first falls on the marketing budget; marketing managers are expected to demonstrate the maximum ROI from their campaign spends. Good analytics require management astuteness in identifying the most loyal, and profitable customers, to anticipate and incite their most desirable buying behaviors while better managing customer lifecycles.

Analytics helps you determine profitable cross selling and bundling of different products and services thereby increasing the lifetime value of each customer.

Our team’s expertise in uniquely utilizing a combination of advanced statistical, econometric and business strategy tools helps companies answer some of your most pressing questions:



	Who are buying my products and why? How to target? Create customer segments based on different combinations of needs, attitudes and behaviors? Which customers purchase most often, most recently and spend the highest?

Customer profiling, segmentation, RFM analysis



	How can we track and measure our campaign effectiveness? What factors drive campaign results, increase response rates ? How can I compare individual campaign results based on ROI? How can I achieve a better campaign response rate? What will be the response rate to each campaign?

Campaign performance analytics & Response modeling



	How can I leverage consumer behaviors to cross/up-sell? What is the propensity to purchase bundled products? What products are better suited for which segments?

Bundling, Cross/Up selling & Market basket analytics



	Who are my loyal customers? Why are my customers leaving and what is the switching cost to them? What should I do to reduce customer attrition? What loyalty program is best for my target audience?

Loyalty management & Churn analytics



	How to determine out-of-pocket price and margins based on customer, product, channel, plant, and sales territory? How to monitor pricing performance and market conditions? What is the best time to make an offer and at what price point?

Customer profiling, segmentation, RFM analysis



	Who are buying my products and why? How to target? Create customer segments based on different combinations of needs, attitudes and behaviors? Which customers purchase most often, most recently and spend the highest?

Pricing analytics