|
|
|||||||||||||||||||||
![]() |
![]() |
||||||||||||||||||||
|
|
|||||||||||||||||||||
![]() |
|
||||||||||||||||||||
|
Calculating your rate of return
|
|
||||||||||||||||||||
|
|
|
||||||||||||||||||||
|
|
|||||||||||||||||||||
|
When the question of how to calculate a
rate of return on a marketing program is posed, the average
cleaner I talk with is completely in the dark. They
haven’t a clue how to define or gauge a good response.
While some are happy with two percent, others I know have
actually dropped programs which brought them returns of nearly
50 percent.
That’s a natural and necessary
concern. After all, before it’s over, they will very
likely spend a lot of money promoting their business, so
it’s important to know that every dollar is working as
hard as it possibly can.
With each inquiry, I wish I could look
into a crystal ball and give them an accurate answer, but I
can’t. It would be a wild guess on my part because there
are so many variables at play.
The most important variable is the list.
The decisions you make regarding the
criteria for selecting your list can ultimately determine the
overall effectiveness of an entire marketing program. The list
determines who will receive your message and, as such, can be
defined as the market itself.
When choosing a list, there are many
considerations to make. For example, is it a house list of
current customers that’s up to date and clean? Is it a
compiled list or is it a brokered list that you've never tried
before?
The list you select will have a huge
impact on the return you get. Your house list, for example,
should easily beat out a prospect list by a wide margin. But
without having experience with a specific list, you’re in
the dark!
Another key factor affecting response is
the offer you use to attract interest. Rewarding your prospects
with a FREE widescreen HD TV will likely bring a high
percentage of responses whereas a free report outlining the
advantages of cleaning garments in water versus chlorinated
solvent probably will not.
A third major factor affecting response
is the creative format you employ. Your “creative”
factor is the way you present yourself to your target consumer.
It not only represents your service but it also reflects your
corporate image… so it must be presented in the best
possible light.
If you want to reach prospects in your
neighborhood and draw them into your drycleaning plant with a
mailing piece, your choices are many.
You can go with a postcard, a multi-fold
self-mailer, a letter, etc. It can be four-color, two-color, or
straight black. You can use photography, illustration,
cartooning, or go with all types. It's hard to make a guess
about response rates until you know exactly what format you're
using!
These are the major variables affecting a
response rate on a direct mail campaign. In fact, it’s
generally accepted that these three factors taken together
account for approximately 80 percent of the expected response.
Other variables include the price of your
service, your positioning with regard to your competition
(i.e., are you a full-price cleaner or a discounter), the
competitive climate itself (is your competitor an aggressive
marketer), the time of year (summer will not bring as good a
response as the fall season will) and so on.
In short, because so many variables can
affect the final outcome of your direct mail project it’s
a very difficult task, at best, to guess what your return rate
will be.
So what’s the answer? How is one to
gauge a response before blindly embarking on a costly marketing
program? Is there an alternative to simply guessing what we
think the response rates will be?
Actually, there is. The answer is to do a
break-even analysis.
First of all, figure what your total
costs will be. This is not a number you have to guess at. You
can actually compute it accurately. Simply add up all of your
costs including printing, creative, postage, list rental, etc.
Next, based on your average size order,
calculate how many responses you’ll need to break even.
Let’s say on a postcard mailing to 500 prospects your
total cost is $275 and your average size order is $22. That
means your break-even (including any discounts) will be 12.5
orders.
Now that you have the response rate
required to break even in front of you, you should have a good
feel for whether this rate seems achievable. This makes a lot
more sense than just guessing at response rates in the dark.
Going one step further, if you want to
get a handle on rate of return and be able to improve your
response factor, you have to be willing to test. Testing is
vital and should include such components of your mailing as the
list, the offer and the creative, just for starters.
Ultimately, it's better to test than to guess. Rigorous, and
aggressive testing requires resources and commitment, but it's
the way to make money!
|
|
||||||||||||||||||||
|
|
|||||||||||||||||||||
![]() |
|||||||||||||||||||||
|
|
|||||||||||||||||||||
![]() |
![]() |
||||||||||||||||||||
![]() |
|||||||||||||||||||||
![]() |
|||||||||||||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
| ||||||||||