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OBJECTIVE:
Identify debit card users who consistently press the
"Debit" button when making purchases using
their debit card. Debit transactions typically incur a
small cost (typically, anywhere from two to twenty cents per
transaction) while "Credit" (also known as
"Swipe & Sign") transactions generate
income through Debit Card Interchange. Since it makes
no difference to users -- they pay the exact same
amount for their purchase either way -- it makes sense
to educate the debit card user so this cost point can
become
an income source. In this query, two Activity-based
data points are examined:
Here's
why these data fields are being used:
First, we want to identify all the Debit card holders
who actually use their Debit card. This query will
find all users who do at least one debit transaction per
month. Next, we refine the query by adding that their
purchases generate no Debit Interchange income. Those accounts that match
this query are debit card users who always click on
the DEBIT (or ATM) button and then enter their PIN
(Personal Identification Number).

Be sure to highlight Account Level in the upper-left
pane since this is an account-level query.

Because
this example has over 55,000 checking accounts,
6,078 accounts matching the query were found.
IDEAS: Consider some of the following
ways you might implement this tactic:
-
A
program that rewards debit card holders for using
the Credit button -- perhaps given when they reach
3 swipe & sign usages per month.
-
Provide
a cash rebate on all purchases made using Credit.
One institution offered a rebate of 1/2 of 1% on
general purchases, and 1% on institutional
purchases -- such as new checks. They saw an
immediate and substantial jump in swipe-and-sign
credit use.
-
Offer
an automatic cash reward to all new
cardholders. If the new cardholder makes at
least 5 Credit purchases by a specific date (usually 45
days or so after offer is sent), a cash reward is
automatically deposited into their account.
The amount deposited is typically in the $5-10
range.
CAVEATS:
You might include an age qualifier in your query so
you can tailor the offer to the age group. For
instance, 35 to 54 year olds may respond better to a
loyalty program such as air miles, while another age
group may prefer cash.
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