Archive for the ‘Advertising’ Category
Sunday, June 14th, 2009
Here’s a brief introduction to the topic of affiliate marketing. We cover this in greater depth in our book, so this is a sneak peek.
Affiliate marketing is the concept of retailers or manufacturers partnering with various agents (called ‘affiliates’) who will promote the company’s products, refer potential customers, and then collect commissions from any sales coming as a result. Those affiliates could be bloggers, advertising professionals, publishers, independent sales people, or just about anyone who has an audience of people who may be interested in buying the company’s products. For a merchant, it can be a very scalable way to quickly increase the scale of a product’s promotion. As a merchant, you give up a piece of your margins and in return can get a large team of marketers to take risks and help you acquire customers.
One key aspect of all affiliate programs is tracking which customers were referred by which affiliate, and which of them resulted in sales. There are a variety of different ways to track referrals, such as:
- Browser cookies. This works great if transactions are mostly handled online (ie: the affiliate is referring customers to an e-commerce store). As the customer clicks on the affiliate’s link, a cookie is placed identifiying the affiliate, and the e-commerce store then references that whenever the customer completes a transaction. In many cases the process of placing the cookie and processing transactions is done by a third party (an ‘affiliate network’), which makes it easier for the affiliate to trust that transactions will be tracked accurately.
- Unique phone numbers or extensions. If transactions involve the customer needing to contact the company by phone, the merchant and affiliate can together setup a unique phone number for customers to call. The merchant will then know that any calls to that number will come from people referred by that affiliate.
- Promotional codes. If it’s not feasible to setup a unique phone number for each affiliate, another option is to ask people to mention a promotional code on the phone in return for price discounts, freebies, or other benefits. For example, the affiliate might advertise: “mention code ABC when you call and get a 5% price discount”. The merchant will then use that promotion code to distinguish which customers were referred by which affiliate.
The above methods are used to track referrals by affiliates. After that initial customer contact it then becomes the merchant’s responsibility to internally track which of these referrals ultimately result in sales. Sometimes for e-commerce stores this can be done in a transparent way technically, othertimes it requires that the affiliate trust the merchant.
Affiliates often bear most of the risk in these partnerships. They need to invest time and money in promoting the products and only get a return if they generate sales. Therefore, to win over a large network of affiliates, a merchant needs to convince them that the product will sell well, which can be difficult as a new company without much of a sales record yet. Some best practices:
- Provide a marketing kit to your affiliates, such as sales texts, ads, and other media to help them promote. Make it as easy as possible for them to get started.
- Find ways to quickly establish trust that you will accurately track and report sales and pay commissions on time, especially if you’re not using a third-party affiliate network. That may involve investing extra time in making your communications with potential affiliates very professional, and giving them reporting and testing features to make sure your tracking system is working properly.
To get going with affiliate marketing, you can choose between joining one of several affiliate networks or creating your own.
- Creating your own affiliate network can be relatively simple to technically implement. However, establishing trust and getting your name out to potential affiliates can be challenging and time consuming.
- Joining an affiliate network has higher up-front and transactional fees, but reduces technical overhead and is often the fastests way to gain large numbers of affiliates. One key downside: many affiliate networks don’t deliver search-engine optimization value, meaning the links placed by affiliates to your website don’t help improve your search-engine rankings because the links first pass through the affiliate network’s intermediary servers.
In our book we’ve covered this in more detail and also listed a set of criteria to consider when deciding which affiliate network to join. We offer a money-back guarantee on the digital version of the book, so if this topic interests you, give the book a shot, and if ultimately you don’t think it was worth the money, just ask for a refund and keep the book.
Tags: affiliate marketing, Promotion Posted in Advertising, Promotion | 3 Comments »
Tuesday, May 12th, 2009
This a quick summary of a more elaborate post about using Google Analytics to measure the performance of an advertising campaign. There are two steps to setup Analytics so that it can distinguish traffic based on ad version:
1) In the link from your ad to your site, add a “utm_campaign” field like this: www.mysite.com/landing-page.php?utm_campaign=yourcampaignID
2) The “Traffic Sources.Campaigns” area in Analytics will now show data for traffic landing at that URL
You can also use this Google Tool for adding yet more Analytics fields to your URL.
Tags: Advertising, analytics Posted in Advertising | 5 Comments »
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Monday, April 20th, 2009
When you track the impressions and click performance of a given page, the observed conversion rate might not accurately reflect the actual conversion rate. How do you know the unusually high number of clicks you measured might not have simply been a fluke or coincidence?
Confidence means different things to different people. Often, the consequences of an incorrect conclusion determines what level of confidence is required for a particular test. For instance, the military might require a 99% confidence level in a very tight confidence interval for weapons testing - when a cruise missile is launched at an enemy target, the commander wants to know with certainty that it won’t miss and end up hurting innocents or allies.
You’ll have to decide for yourself what level of confidence you’re comfortable with, but for website testing for a startup or small business, we believe an 85% confidence in a +/- 25% confidence interval is sufficient. That is to say, if we had observed a conversion rate of 10%, we want to know there’s at least an 85% chance that the actual conversion rate was 10% +/- 2.5% or somewhere between 7.5% and 12.5%.
Let’s walk through the math. As an example, let’s assume you’ve observed 300 impressions and 30 clicks for a conversion rate of 10%.
First, determine the Standard Deviation:
stdev = sqrt((p(1-p)/n)
stdev: standard deviation
sqrt: square root
p: observed conversion rate
n: # of impressions
stdev = sqrt((.1(1-.1)/300)) = .173 or 1.73%
To determine confidence, we want to determine the likelihood that the actual conversion rate is LESS THAN 12.5% and GREATER THAN 7.5%. To do so, we’ll effectively map the data to a normal distribution curve using a technique called a Z Transformation:
Z = (X-p)/stdev
Z: statistical variable used in further calculation
X: confidence (upper or lower) limit
p: observed conversion rate
stdev: standard deviation
Zu = (.125-.1)/.173 = 1.44 for the UPPER limit
Zl = (.075-.1)/.173 = -1.44 for the LOWER limit
In a statistics class, we would map out the distribution curve and find the area underneath the curve to determine the confidence level. But you’ll save a TON of time by using Excel’s NORMSDIST() function. In a spreadsheet, run the following formula:
conlvl = NORMSDIST(Zu)-NORMSDIST(Zl)
conlvl: confidence level
Zu: Z-value of upper limit
Zl: Z-value of lower limit
conlvl = NORMSDIST(1.44)-NORMSDIST(-1.44) = .851 or 85.1%
Now you can start to see why >30 conversions is a rule of thumb. As you adjust the inputs into the formulas to fit your needs, you’ll notice a couple of general trends.
- More conversions are required for higher confidence levels or tighter confidence intervals.
- Smaller conversion rates require a more sensitive test to detect than larger conversion rates and therefore need more data to achieve the same confidence.
In Fundamentals for Founders, we discuss statistical significance for website optimization in greater detail. When you purchase the ebook, you also get access to a tool that calculates confidence levels based on your impressions and conversions. The same tool can also be used to determine confidence levels for A/B split testing.
Posted in Advertising, Statistics | 3 Comments »
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Wednesday, April 15th, 2009
A hot new feature in the online advertising world: retargeting. It’s about showing ads specifically to people who have visited your website before. For example, someone comes to your site and views certain key pages, indicating some interest, but then doesn’t place any orders. Maybe he got distracted, had some unanswered questions, or didn’t need your offering quite yet, but maybe later. This person is now a very qualified sales lead. “Retargeting” features allow you to show ads to that person as he browses other websites.
For example, the next time he browses his favorite online magazine or news site, he may see an ad from you inviting him to come back. You know what he did the previous times he was on your site, so this ad can be very specific, maybe even include special offers to get this person to come back. Click-through and conversion rates are very likely to be much higher than for ads shown to people who’ve never been to your site.
How does this work? You partner up with a retargeting network such as fetchback.com (an aggregator of various ad networks that specializes on retargeting). As a visitor comes to your site, you’ll place a cookie that will now identify him as he browses other websites that belong to the ad network.
How is this different from advertising on Google Adwords or classic ad networks? You don’t need to specify targeting criteria. You target anyone who’s been to your site before. No need to filter it any further.
How is it priced? This depends on the ad network, but flat-rate pricing seems to be most common for relatively low-traffic sites. For example, we’ve seen introductory offers for sites with less than 20K unique visitors per month where $500 for at least 3 months will show ads to each of your <20K visitors as they browse other sites. Your actual CPM/CPC costs will vary based on the number of visitors and their browsing behavior once they leave your site. Ask your ad network what % of your visitors they expect to be able to cover (usually 50-70%).
When does this make sense to use? You’re investing a flat-fee per month in return for an increase in your conversion rate, so you should calculate what % increase in your conversion rate you need in order to justify that investment. The two most critical assumptions in those calculations are: 1) the percentage of your existing orders that come from return-visitors (depends on the business, we’re assuming 20% below), and 2) the percent increase to that rate delivered by retargeting. For the latter: Retargeting networks often see those go up by 50% or more. Let’s do the math, comparing 3 different scenarios with 3 different increases in the return conversion rate:
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Scenario 1
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Scenario 2
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Scenario 3
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Monthly Unique Visitors
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10,000
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10,000
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10,000
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Conversion %
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2%
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2%
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2%
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Total Conversions
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200
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200
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200
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% of conversions from return visitors
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20%
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20%
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20%
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Total Return Conversions
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40
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40
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40
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Average Order Profit
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$100
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$100
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$100
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Retargeting Increase in Return Conversions
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10%
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25%
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50%
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Conversions due to Retargeting
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4
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10
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20
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Retargeting Value
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$400
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$1,000
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$2,000
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Retargeting Cost
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$500
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$500
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$500
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ROI
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($100)
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$500
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$1,500
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We see now that an increase of 15% or above would be profitable for this business, and most ad networks will confidently exceed that number. So for the example above, retargeting is definitely something worth trying. Here is the spreadsheet containing the above calculations. Feel free to adapt this for your own purposes.
Posted in Advertising | 2 Comments »
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Tuesday, April 14th, 2009
Engaged in online advertising, or think you will soon? If you haven’t played with Facebook ads before, here’s a quick walk-through.
We’ll make this a practical example, where the goal of this exercise is to get more people to read this very article. We’ll start by targeting people who may be interested in reading this and try to get them to subscribe to our blog or even link to it.
Let’s brainstorm a list of characteristics for those people: They’re based in the US, are at least 22 years old, have graduated college, and have expressed some kind of interest in entrepreneurship. Even better: maybe they have their own blogs, and maybe they’ll be kind enough to link to us after reading this post. We created an ad with those targeting criteria and pointed it to this article just as we posted it. Here’s a video showing how we did it:
As a side note to all those who read this after clicking on the Facebook ad: found this slightly amusing or interesting? Feel free to subscribe on the right. Also, we know you enjoy blogging – how about a link from your blog to ours, done like this?
Hopefully we’ve shown how easy it is to get started and experiment with Facebook ads. Coming later: a post about measuring the effectiveness of an advertisement. Let’s see how to tweak the data around how many new subscribers we got based on this campaign.
Posted in Advertising | 3 Comments »
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