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Home Use Your Data By Department: Marketing

marketing pyramidMarketing Data Analysis—Data Warehouse Technology for Database Marketing

For database marketing and click stream analysis, the challenges our customers address with illuminate can be categorized into three main areas:

  1. Customer Acquisition
  2. Growth of Customer Value
  3. Customer Retention

Customer Acquisition (Move them IN !)

illuminate helps here with marketing data analysis that provides better ways to:

  • Build better prospect profiles and target segments;
  • Combine internal and external data-sources;
  • Better fit propositions to segments defined;
  • Better measure costs and results;
  • Track indirect effects of a database marketing campaign;
  • Perform web click stream analysis;
  • Track effects in a multichannel environment;
  • Measure and analyze the results of each activity.

Growth of Customer Value (Move them UP !)

illuminate helps here with marketing data analysis that provides better ways to:

  • Build better customer profiles:
    • Combine internal and external data sources;
    • Detect patterns in buying behavior;
    • Not only use customer features known, but also all purchases, in time…
    • Define a more detailed concept of ‘best’customer.
  • Grow share of wallet:
    • Actively exploit up-sell and cross-sell opportunities;
    • Build and measure customer loyalty programs.
  • Measure and analyze the results of each database marketing activity:
    • Analyze new product launches;
    • Perform sophticated click stream analysis of web marketing campaigns and self-service tool usage;
    • Manage the use and measure the results of multichannel campaigns.

Customer Retention (Don’t let them OUT !)

illuminate helps here with marketing data analysis that provides better ways to:

  • Build more sophisticated profiles of customers suspect to leave;
  • Find patterns in churn and pre-churn behavior;
  • Not only use customer features known, but also all activities, in time;
  • Explore the best fit of type and timing of promotion to prevent churn;
  • Define ‘best’customers to decide the right effort to keep each individual;
  • Measure and analyze the results of each database marketing activity.