Interact Insight™ applies cutting-edge analytical models to disparate marketing data to help you predict customer behavior and optimize your multichannel marketing efforts accordingly. Its open data architecture enables you to consolidate all your marketing response data, purchase and usage history, and other third-party data into a unified data mart – so it can work off the most relevant customer information. It then analyzes that information and provides intelligent projection models for marketing success factors related to segmentation, planning, and optimization:

Segmentation models: Distinguish the most relevant groups of customers based on your specific criteria, such as:

• Response: Identify customers most likely to respond to your campaigns.
• Lifetime value (LTV): Develop a profile of your highest-value customers and predict ROI over time.
• Propensity: Define customer segments based on their likelihood to respond or behave in a certain way, such purchase or churn.
• Tactical: Create customer segments based on the tactics to which they are most likely to respond, including channel, offer, creative, and frequency.

• Contact strategies: Get a tactical plan for each customer segment that details how many times to contact, at what frequency, which offers to use, which creative, which channel, etc.
• Test planning: For every tactical recommendation, receive a comprehensive test plan that defines test and control cells and calculates optimal sample sizes.
• List cuts: Create target customer lists in the most useful, usable formats.
• ROI: Estimate the return on investment for each planned marketing campaign or program and allocate budget accordingly.

• Accurately predict which segment profiles represent the soundest marketing investment for maximum profitability
• Continuously optimize future direct marketing results over time
• Don’t overspend on unprofitable segments

Learn more about Interact Insight: download the data sheet or contact us today.