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See our RFM Whitepaper online here.

Or, download your
RFM Whitepaper &
Case Study
here!


RFM - Recency, Frequency and Monetary Value

RFM has been practiced by marketers since 1969 (State Farm Insurance).  It is still practiced and provides great value
today for small businesses and non-profits.  As RFM became a more common strategy among large companies in the
80's, leading companies looked for another edge -- this led to the adoption of data mining as a standard today.  Both
techniques return great value, but there are trade-offs involved.  Data mining will result in greater response and sales,
but costs much more from a consulting standpoint.  Data mining also requires additional customer information that
many small businesses have not yet been collecting about their customers.   Many businesses new to marketing analytics
are best off trying RFM first and seeing real success, before making even larger investments in data mining.

RFM - what's required...

Data on each of your customer's transactions --specifically, the date of last purchase and the revenue and number of
purchases made over their lifetime with you.   Here is a look at response rates to a recent campaign based on how
recently customer's RFM graph made their last purchase.
The 1/5th of customers that made the most
recent purchasees had a response rate to a
recent marketing campaign of 3.5% -- more
than double any other group.  And, take a
look at Quintile 1 -- would you really want to
even spend money mailing or calling them?
Imagine how powerful this approach is when
extended across the other two dimensions as
well, i.e., frequency and monetary value. RFM
also supports breakeven analysis -- a way to
incorporate expected earnings from
responders, with marketing and product costs,
to determine how many customers should be
contacted to break even on your marketing
campaign -- a great small business growth
strategy!

Call or email us know to learn how you can benefit from RFM analysis, 410.280.9618 (MD), 434-325-1439 (VA).

 


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