Know Your Customer
Conventional methods for understanding customer motivations fail in two ways:
Choiceplex solves these problems through dynamic segmentation. In contrast to demographic, behavioral or attitudinal segmentation, dynamic segmentation provides category-specific answers to specific marketing challenges, ranging form customer acquisition to loyalty.
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The data used by Choiceplex to make complex business forecasts and decisions generally falls into one of four categories:
We integrate data from a variety of third parties into one consistent view of your customers and products.
Act With Insight
Simply knowing a relevant, predictive customer segmentation isn't enough. The segmentation needs to be actionable. Marketing, sales and customer service organizations need to "operationalize" these customer perspectives to efficiently and effectively grow revenue.
Based on concrete data, Choiceplex delivers segment-specific strategies, messages, tactics, and ROI forecasting to guide your marketing plans.
Conventional methods for understanding customer motivations fail in two ways:
- Traditional customer segmentation is too static. Segments are frequently identified as part of a strategic marketing plan and can be essential for high-level guidance. However, they cannot adapt to changing circumstances and specific marketing goals on an ongoing basis.
- Advanced analytics is too opaque. Sophisticated data modeling is difficult for marketers to grasp without training in statistics. Without transparency, many marketers don't trust the results nor get guidance on how to act.
Choiceplex solves these problems through dynamic segmentation. In contrast to demographic, behavioral or attitudinal segmentation, dynamic segmentation provides category-specific answers to specific marketing challenges, ranging form customer acquisition to loyalty.
Get Answers
The data used by Choiceplex to make complex business forecasts and decisions generally falls into one of four categories:
- Demographic – Where do customers live? How old are customers? What is the average income of our potential customers? Are customers male or female? The majority of the data necessary to answer demographic questions comes from the US Census Bureau, but data compilers such as Acxiom and Experian can provide additional details which may be used to make complex decisions.
- Psychographic – Much like, “birds of a feather flock together,” customers who share similar attitudes and life experiences often behave similarly too. Companies like Neilsen have segmentation criteria such as PRIZM that provide guidance here, but internally developed models can provide greater insight for product/service-specific variations.
- Behavioral – What are our customers really doing? This data generally comes from customers but may also come from our own consortia of customers who securely share data with us to create cross-industry perspectives that guide us in better understanding these challenges. All projects are privacy-safe. We take data in but we only share the resulting predictive models and not unique customer details.
- Social – Which of our customers are influential? Who are they engaging with or interacting with? This data comes from a variety of sources including Twitter and Facebook. We work to understand the network of connections that a customer has and how influential the customer is.
We integrate data from a variety of third parties into one consistent view of your customers and products.
Act With Insight
Simply knowing a relevant, predictive customer segmentation isn't enough. The segmentation needs to be actionable. Marketing, sales and customer service organizations need to "operationalize" these customer perspectives to efficiently and effectively grow revenue.
Based on concrete data, Choiceplex delivers segment-specific strategies, messages, tactics, and ROI forecasting to guide your marketing plans.