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Data Analytics

The Data Analysis and Learning Group at Visuality helps our clients deliver more relevant and engaging email programs through deep and accurate understanding of their customers, and how they interact with the email channel. We help our clients establish baselines and standard methodologies for monitoring program performance in order to help provide actionable insights into what works.

Email Program Analysis
We believe that program analysis should go beyond simple open rates and clickthrough analysis. Our Data Analysis team works with our clients to define program-specific success metrics up front, establish baseline results against which to compare program results based on statistical forecasting, and do in-depth ROI modeling.

Channel Optimization Research
The long-term view of email requires thinking beyond the one-off campaign, to strategies for ongoing channel optimization. Our Data Analysis team uses sophisticated modeling techniques to examine the influence of the frequency of contact and the relevancy of content on the customer’s receptivity to any particular email program.

Data and Information Audits
Our data analysis team works with our clients to help them understand opportunities for leveraging existing data elements and customer attributes, perform gap analysis to uncover areas where existing data should be augmented to address key business questions, and perform in-depth attribute analysis to review data sources for integrity, validity and adherence to business rules.

Customer Profiling and Segmentation
We work with our clients to perform primary research into customer preferences, create customer segmentation and profiling strategies, and uncover product affinity clusters for more effective up-sell and cross-sell opportunities.

Customer Scoring and Attrition Modeling
Identifying your most responsive – and least responsive customers – can lead to more effective email programs. We work with our clients to develop appropriate filter sets to identify highly profitable customer segments, as well as customers at risk for program or service attrition.
 

 
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