Fun with ROI
Jim's Note: Will the real ROI please stand up? You were
probably thinking about this one as you read the pervious page of the
tutorial; knowing what
you know now, what is the ROI of Ad #1 versus Ad #2?
ROI, or Return on Investment, is a concept from the financial world
which is frequently applied to database or customer marketing. What
people seem to forget is ROI implies the concept of time, because
"Return" happens over time. So an ROI calculation really
asks, "What was my return over time?" And without
looking at time, you can't calculate the "real ROI" of a
campaign.
Think about a bank account. The bank says if you put money in,
they will pay 2% interest. This is an yearly number; if you put in
$100 and don't do anything else, you will have $102 in your account at the
end of a year. Your annual ROI is 2%. At the end of 6
months, it's close to 1%. So ROI depends on what time frame you are
using for the calculation.
Let's go back to our example of Ad #1
and Ad #2, and look at some ROI numbers.
Ad campaigns #1 and #2 were pretty similar. The ad units were the
same and the CPM's were the same, but they ran on different sites and had
different creative. As a result, the response rates (click-throughs
resulting in purchase) were different. Here's what they look like at the end
of their campaign runs:
Parameter |
Ad #1 |
Ad #2 |
a. Cost of Campaign |
$5,000 |
$5,000 |
b. People Clicking |
2,000 |
1,000 |
c. Number of Buyers |
185 |
230 |
d. Average Price |
$90 |
$70 |
e. Product Sales |
$16,650 |
$16,100 |
f. Product Margin |
30% |
30% |
g. Net Margin (f x e) |
$4,995 |
$4,830 |
h. Campaign profit (g - a) |
-$5 |
-$170 |
i. Campaign ROI (h / a) |
0% |
-3% |
This is short-term ROI, right at the end of the campaign. It's
based on what customers first bought during and immediately after the
campaign. Ad #1 looks to be the clear winner, even though it only
broke even; Ad #2 has a negative
ROI (lost money). You might just leave it at that. But you're smarter
now. You
know about Recency and customer
LifeCycles.
Your first Recency tracking is 30 days later, and you find that 20% of
the buyers from Ad #1 have made another purchase and 15% of the buyers from Ad #2 have made a purchase (these numbers are from our original example).
The rest of the numbers from the LifeCycle
charts
are included below. Now what does the campaign ROI for Ad #1 and Ad
#2 look like?
Parameter |
Ad #1 |
Ad #2 |
1 month Repeat Buyer % |
20% |
15% |
2 month Repeat Buyer % |
15% |
13% |
3 month Repeat Buyer % |
12% |
11% |
4 month Repeat Buyer % |
9% |
13% |
5 month Repeat Buyer % |
6% |
14% |
6 month Repeat Buyer % |
4% |
16% |
j. Total Repeat Buyer % |
66% |
82% |
k. Original # of Buyers |
185 |
230 |
l. New Purchases (j x k) |
122 |
189 |
m. Average Price (d above) |
$90 |
$70 |
n. Product Sales (m x l) |
$10,989 |
$13,202 |
o. Product Margin |
30% |
30% |
p. New Net Margin (o x n) |
$3,297 |
$3,961 |
q. Initial Margin (g above) |
$4,995 |
$4,830 |
r. 6 Month Margin (q + p) |
$8,292 |
$8,791 |
s. 6 Month Profit (r - a) |
$3,292 |
$3,791 |
t. 6 Month ROI (s / a) |
66% |
76% |
Surprised? These ad campaigns at 6 months have ROI numbers many
times higher than they did at 30 days. And, Ad #2 has emerged as the winner because at 6 months, it
has passed Ad #1 in profits
and ROI. If you recall the LifeCycle chart,
at the 6 month point, Ad #1 is going downhill fast while Ad #2 is still
climbing. Looks like the spread in profits and ROI is going to get
even wider still over time.
Now, is this the best and most accurate way to determine the true
ROI? No, it's a "down
and dirty" approximation of campaign ROI you can make on the spot, a
"back of the napkin" kind of idea. You're looking for
trends and comparisons in order to get a feel for what's working.
But it is a heck of a lot better than just looking at conversion to first
purchase though.
For this example, we don't know how many of the repeat customers may have made multiple purchases in a month - we only know they
made "at least one." And we're using "average
price" from the original campaign; this has probably changed. The point
of this example is making comparisons between the potential value of
customers generated by different ad campaigns, and using these comparisons
to make more money with your advertising. Once you see important
trends emerging, you can decide whether it's worth spending the time and
resources to take ROI down to the last penny.
Could the customer LifeCycle for Ad #2 suddenly turn down and undercut
the customer LifeCycle for Ad #1? Sure, it's possible, but not
likely. This late in the LifeCycle,
when a group of customers is moving in a certain direction, they tend to
keep moving in the same direction.
Good customers tend to remain that way (until they leave you) and poor
quality customers tend to remain as they are. That's one reason
there is so much money wasted in customer
marketing; marketers are not targeting using the LifeCycle,
and as a result they're making untargeted offers at the wrong times to
most customers.
Early in the LifeCycle, it can be difficult to tell if a customer will
become profitable or not. That's why it is so critical to track
trends like this from the beginning; later on, it becomes less important
as the customers tend to remain either profitable or unprofitable.
There's no reason to guess though, is there? You'll be
tracking these LifeCycles, because that is what smart marketers do.
Next in Tutorial:
8 Tips for Customer-Focused
Marketing Promotions Read
advanced version of this topic
Extensive coverage of ROI tools, measurement techniques, and formulas
for increased campaign profits are found in
the Drilling
Down book.
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