RFM Analytics Module
iMIS RFM Analysis turns flat, transactional
data into a ranked result set that can be used within your target
marketing efforts. iMIS RFM Analysis makes it
easy to look at every transaction within iMIS
and rank it into the Recency, Frequency and Monetary value buckets that
you require. You have complete flexibility to determine which
transactions will be ranked and for what population of constituents.
RFM Analytics Features include:
Plan and Create
- Create RFM models and definitions
- Define categories for ranking each definition, such as recency,
frequency, monetary, combined (calculated), and total (calculated)
- Define population and transaction queries
- Generate segments that divide the population into categories based
on RFM criteria
- Create groups, such as quintiles, that reflect the relative ranking
of customers according to all RFM measurements
- Generate lists of potential customers for marketing
campaigns
Analyze
- Establish multiple RFM analyzes
- Define different customer population and transaction queries to
include in each analysis
- Record a customer's first, last, and highest transaction amounts and
the dates of the first and last contact
- Rank and organize your customer population into specific groups
manually or automatically
- Query the list of customers to use for analysis
- Query the set of transactions to consider for analysis
- Store a combined ranking and a total ranking score
Measure
- Generate RFM analysis results
- Query the results of the analyzes
- Analyze transaction patterns to accurately predict future
behavior
- Rank customer groups according to the relative recency, frequency,
and monetary scores of their transactions
- Generate target lists of probable customers for marketing
campaigns
- Identify the results you want in an analysis
- Predict a customer's response to a marketing campaign based on the
customer's transaction history
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