Customer Intelligence

Neural Technologies enables organisations to unlock the full value of their customer base by providing powerful insights into the drivers behind their customers' decisions.

Using customer intelligence - gathering, analysing and exploiting the information contained within an organisation's customer base - Neural Technologies is able to determine factors such as customer purchasing propensity, customer profitability, customer lifetime value and risk of customer attrition.

The most, and least, profitable customers can be identified, along with new opportunities for sales growth.  Such powerful knowledge enables organisations to focus and streamline their marketing efforts for maximum return.

The following Customer Intelligence applications can be deployed at the customer site or accessed via the Cloud.

Targeted Marketing

Neural Technologies' customer intelligence solutions provide an understanding of prospective customers' motivations to ensure marketing efforts are highly focused.

• Identifying the relevant people to receive a specific offer or product
• Achieving maximum response rates for minimal effort
• Reducing mailing and acquisition costs

Cross Sell/Up Sell

Neural Technologies' customer intelligence identifies product and services affinity to capitalise on sales opportunities in the current customer portfolio.

• Exploring linkages between the products/services customers presently buy and the ones they might be persuaded to buy
• Increasing customer satisfaction by only offering products for which they qualify 
• Increasing customer retention by providing customers with more than one product or service

Customer Lifetime Value

Customer intelligence analyses the customer base as a whole to identify key customer segments and establishing a framework for different treatments and interactions, e.g. cross sell new product offerings.

• Obtaining a picture of the percentage of customers most critical to the revenue stream to ensure they are retained
• Monitoring which high-value customers are spending less in a given month and which low-value customers have started spending more to plan future customer retention and cross-selling strategies
• Using the information as justification for various customer acquisition/retention strategies and spending

Customer Attrition/Churn Management

Monitoring customer behaviour to provide advance prediction of customer attrition, along with potential reasons, to enable the formulation of effective retention strategies such as offers, discounts or enhanced credit limits.

• Profiling and analysing customer and transactional data to indentify attrition/churn indicators
• Predicting if, when and why a customer will churn
• Identifying the most valuable customers to ensure they are retained
• Getting the right message to the customer at the right time 

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