Marketing 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:
- Customer Acquisition
- Growth of Customer Value
- Customer Retention
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.
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.
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.
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