Multi-channel merchant's customer files are changing rapidly with new information being contributed on a daily basis from Stores, Catalogs, and the Web. Even with the most strenuous efforts in place to qualify new to file transactions, the customer file continues to accumulate disparate and seemingly un-related transactions.

Merchants with strong customer recognition initiatives are looking for solutions to:

• Correctly Identify & Value The Customer
• Promote to that Customer at Their Most Current Address

Traditional address integrity and consolidation processes use character based logic and look up tables that are ill-equipped to assess the totality of a customer's name and address permutations that accumulate through multiple customer interaction channels. These processes are easily deceived by minor variations in the name and address elements.

These processes, which were first introduced in the 1970's have reached “terminal velocity” and cannot be evolved further. Structurally, they were never designed to recognize the variations in customer information created by a very mobile public, purchasing through multiple channels.

• Accurately Identify Customers By Collapsing Buying Aliases
• Improve the Performance of Selection Models By Correctly Valuing Individuals & Households
• Increase Revenue By Reaching Branded Buyers at Their Most Current Address
• Reduce Promotional Expense By Eliminating Non-Performing Promotions