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
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
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,
variable marketing costs can over shadow sales revenues by orders of magnitudes. Unfortunately, unlike
saying in
movie Field of Dreams, "If you build it, they will not come!" Luckily,
industry has learned this lesson; some
hard way, and others in spite of
losers. Dot-coms are clearly not
darlings of
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
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
sale. The process of creating
site, signing up
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
word "gifts". The word gifts is searched for 49,000 times per day! We figured we would have a good flow of visitors and
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
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
site. Not a winning business model. However, taking this information, we can assess which marketing techniques can work best for
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
Numbers
Putting this all together, you can create a formula for estimating
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,
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
type of campaign, all of
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
ad itself.