Increase Revenue with Targeted Cross Selling

Use data mining to discover patterns in your customer base. Then apply this information to your active customers to create targeted cross selling campaigns.  Combining the power of data and advanced analytics can help you increase revenue, decrease expenses and improve return on marketing spend.  Association rules explain what products lead to other products being used.

The association rules show what product is leading to usage of other products.  For example, customers who have:  ATM_USE, AutoLoan_Ind, DriveThru_Use typically have a Debit Card.  Using rules mined from you data, you can target customers to add products that best fit your overall client base.

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Use predictive analytics to target customers for cross selling opportunities

Increase Revenue

Know which products are most likely to impact the use of addition products or services.

Discover Patterns

Use your customer history to understand their behaviors and what products are used together

Data Mining

A typical project takes less than 90 days from initiation to completion to start providing value to your business.

Sample Products Used for Cross Selling

  • Checking Account
  • Saving Account
  • Credit Card
  • Debit Card
  • ATM Usage
  • Auto Loan
  • Home Loan
  • IRA
  • Money Market
  • CD
  • Vacation Club
  • Holiday Club
  • Overdraft Protection
  • Online Bill Pay
  • Signature Loan