Click Here
for more articles |
|
|
How Much Should You Pay for a Click |
by:
Andy Quick |
Title: "How Much Should You Pay for a Click?"
Copyright © 2002
Author: Andy Quick
Contact Author: mailto:andy@findmyhosting.com
Website: http:// http://www.findmyhosting.com/web-
resources/Articles/howmuch.htm
Publishing Guidelines: You have permission to publish this article
electronically or in print, free of charge, as long as the resource box
at bottom is included. No notification required.
How Much Should You Pay for a Click?
Andy Quick
You have a web site ready for action. Your product catalog, order
tracking, credit card payment system, and fulfillment process are all
in place. Now all you need is traffic! Many web entrepreneurs have
learned that the magic nut to crack is attraction: get a steady flow of
customers who explore your site and eventually purchase goods. The
overhead costs of most web businesses are minimal relative to brick and
mortar stores. However, the variable marketing costs can over shadow
sales revenues by orders of magnitudes. Unfortunately, unlike the
saying in the movie Field of Dreams, "If you build it, they will not
come!" Luckily, the industry has learned this lesson; some the hard
way, and others in spite of the losers. Dot-coms are clearly not the
darlings of the capital markets any longer; however, there is still
money to be made! If you plan to start a web business or already have
one but are not sure how to increase traffic and make money at the same
time, you should consider a science-driven approach. What does that
mean? Read on
How to Lose $500 in 12 Hours
One weekend, my business partner and I created an affiliate commerce
site. The site comprised a list of links to other online retailers.
People go to our site, pick a link to a jewelry store for example, buy
something, and in turn we receive a commission from the sale. The
process of creating the site, signing up the affiliate agreements, and
turning it on was a cinch. The cost was virtually nothing. We, being
new to this whole web business concept, thought we had an incredibly
smart marketing idea: pay to have our site come up in an ad box on a
major search engine (Google) every time someone searched on the word
"gifts". The word gifts is searched for 49,000 times per day! We
figured we would have a good flow of visitors and the money would start
rolling in. For certain, we would at least break even. We sunk $500 in
one day and let it rip. Here's what happened:
Our investment in Google - $ 500
Number of times our ad was displayed (impressions) - 36,964
Number of times people actually clicked on our ad when they saw it
(click-throughs) - 429
Number of times a person visiting our site made a purchase - 10
Our total sales revenue- $ 77
Our total gross profit - $ (428)
The whole process took less than 12 hours. At least we learned a lesson
quickly at a relatively low cost. Let's look at this event from a
slightly different perspective, putting the costs in terms of number of
visitors:
Our investment in Google - $ 500
Number of times our ad was displayed (impressions) - 36,964
Number of times people actually clicked on our ad when they saw it
(click-throughs) - 429
Ad cost per visitor - $ 1.17
Number of times a person visiting our site made a purchase - 10
Average sale per purchase - $ 7.70
Average revenue per visitor - $ 0.18
Average gross profit per visitor - $ (0.99)
We were basically giving $1 away for each visitor that came to the
site. Not a winning business model. However, taking this information,
we can assess which marketing techniques can work best for the
business. Let's add 2 additional critical data points to our table:
Our investment in Google - $ 500
Number of times our ad was displayed (impressions)- 36,964
Number of times people actually clicked on our ad when they saw it
(click-throughs) - 429
Percentage people who clicked on our ad (click-through rate)- % 1.16
Ad cost per visitor - $ 1.17
Number of times a person visiting our site made a purchase - 10
Percentage of visitors who purchased something (conversion rate)-% 2.3
Average sale per purchase- $ 7.70
Average revenue per visitor- $ 0.18
Average gross profit per visitor- $ (0.99)
Running the Numbers
Putting this all together, you can create a formula for estimating the
gross margin per visitor for a specific marketing campaign:
Average Gross Margin per Visitor = Average revenue per visitor -
Advertising Cost per Visitor
Advertising Cost per Visitor = Campaign Costs /(Impressions x Click-
through rate)
Average revenue per visitor = Conversion rate x Average sale per
purchase
Putting it together:
Average Gross Margin per Visitor = (Conversion rate x Average sale per
purchase) (Campaign Costs / Impressions x Click-through rate)
Using our Google example, the average gross margin per visitor would be
calculated as:
Average Gross Margin per Visitor = (0.023 x $ 7.7) - $500 / (36,964 x
.016) = (0.99)
Remember, this formula can only be used for a single type of campaign.
Depending upon your target audience and the type of campaign, all of
the above variables can change. When we launched our Google campaign,
we used impression-based advertising, that is, we paid Google a certain
amount of money for every 1,000 impressions of our ad (about $15 per
1,000 impressions in our example). However, just because our ad was
displayed inside someone's browser did not mean they would click on the
ad itself.
Enter pay-per-click advertising. This advertising model allows you to
pay for an ad only when a person actually clicks on it. In this model,
you are guaranteed to get visitors. However, the cost per click is
usually much higher. Let us assume we ran our same Google campaign
except we used pay-per-click advertising. Pay-per-click also factors in
position which will drive the amount you pay per click (the higher the
ad position on the screen, the higher the price per click will be).
Let's say we pay google $0.50 per click and based on Google's traffic
for the word gifts, we receive 170 clicks per day (or visitors), or in
total 1000 visitors over the life of the campaign (we still only put in
$500, so $500/$0.50 = 1000). Using our same ratios, let us re-compute
our Average Gross Margin per Visitor, modifying our formula slightly
(notice the formula is simpler):
Average Gross Margin per Visitor = (Conversion rate x Average sale per
purchase) (Campaign Costs / Visitors)
Plugging in the numbers:
Average Gross Margin per Visitors = (.023 x $ 7.7) - ($500 / 1000) =
(0.32)
If we used a pay-per-click advertising model, we could have saved $100.
Either way, we would have lost money, but imagine if we had started
with $5,000 instead of $500. The nice feature of pay-per-click is that
you know ahead of time how many visitors you will receive. If you know
your conversion rate and your average sale, you can modify the formula
to determine the most you should pay for a pay-per-click campaign:
Max Pay-per-click = (Conversion rate x Average Sale per purchase)
In our Google example, our maximum pay-per-click should be $0.18. For
every penny we pay less than our maximum pay-per-click, we're making
money! Unfortunately, as of this writing, the minimum pay-per-click
cost for the word "gifts" on Google is $0.37. The ultimate lesson is
that for this particular site, the Google marketing campaign will not
generate sales revenues. But is that really true? We could increase our
conversion rate and our average sale per purchase. We could increase
our conversion rate by optimizing the design of the web pages. We could
increase our average sale per purchase by entering affiliate agreements
that offer higher commissions. Let's say we used the $0.37 pay-per-
click model on Google for our gift site. In order to make money we
would have to get our average revenue per visitor to at least $0.38. If
we just focused on our conversion rate, we would need to increase the
percentage of visitors who make a purchase to 4.9%. If we left
conversion rate alone, we would need to increase the average sale per
purchase to $16.50. Alternatively, we could try and increase them both.
Not All Ad Models Are Created Equal
Using the same model, let's look at a different type of campaign:
newsletter advertising. This form of advertising involves placing an ad
embedded in a newsletter that is distributed to a subscriber base via
email. The model for calculating average gross margin per visitor is
exactly the same as impression based, except your target market is
different. For example, let us say we spend $1,000 to place an ad in an
email newsletter about shopping tips. And let's say the newsletter
reaches 500,000 subscribers. If we used the same click-through rates
and conversion rates, our average gross margin per visitor would be:
Average Gross Margin per Visitor = (.023 x $ 7.7) $1000 / (500,000 x
.0116) = $0.004
We're making money!! (not much, but the margin is positive).
Translation: this campaign brings us under a half a penny per visitor.
Another helpful ratio is to calculate the return on your advertising
dollar:
Return of Advertising = [(Impressions x Click-through rate x Conversion
rate x Average sale per purchase) Campaign Cost] / Campaign Cost
Or in our case:
Return of Advertising = [(500,000 x .0116 x .023 x $ 7.7) $1000] /
$1000 = 2.7%. Translation: you're making 2.7 cents in gross revenue
for every dollar of advertising you spend. Also keep in my mind that
this newsletter reaches a different target audience. While people on
Google may casually look for gifts, the recipients of a shopping
newsletter may have a higher tendency to buy (i.e. your conversion rate
may be higher). If your conversion rate were higher, let's say 3%, your
new average gross margin per visitor becomes $0.05!! or a 34% return on
our dollar.
The Bottom Line
Using formulas to compute the success of marketing plans is extremely
helpful and reduces the risk of throwing away precious advertising
dollars. However, understand that each marketing campaign will differ
based on cost per click, conversion rates, target audience, and average
sales per purchase. I encourage you to track all the data available
about your marketing campaigns so you can realize profits instead of
losses.
Marketing on the web can be difficult. Predicting the behavior of
surfers is an art unto itself. Before you begin spending a lot of money
on advertising, experiment with different types of campaigns, track all
of the results, and make future marketing decisions based on real
customer behavior. Also keep in mind that there are other, free forms
of advertising. Writing articles, participating in newsgroups, print
advertising, and email marketing are other examples. Remember that all
of these marketing techniques will have different click-through rates,
conversion rates, and revenues per visitor.
Andy Quick is co-founder of Findmyhosting.com (www.findmyhosting.com),
a free web hosting directory offering businesses and consumers a hassle
free way to find the right hosting plan for their needs. Feel free to
contact Andy at andy@findmyhosting.com in case you have any questions
or comments regarding this article.
ABOUT THE AUTHOR
Andy Quick is co-founder of Findmyhosting.com (www.findmyhosting.com),
a free web hosting directory offering businesses and consumers a hassle
free way to find the right hosting plan for their needs. Feel free to
contact Andy at andy@findmyhosting.com in case you have any questions
or comments regarding this article.
|
|
