Cutting-Edge Internet Marketing: SEO, PPC, & Web Analytics

Using the new Adwords Experiments Feature

Adwords has released a new feature called “Adwords Experiments”. Most people should have access in the coming weeks. I have been part of the Beta testing. I will offer some advice after some of my successful (and not so successful!) experiments.

What is Adwords Experiments?
Due to Adwords’ concepts of “account history”, you are rewarded for past performance. Thus, you must think twice about every change you make to the account as your changes have a permanent effect!
Have you ever had a “brilliant idea” that you couldn’t get your boss to sign off on? Adwords Experiments is great for cases like these. Make a change to a campaign, check it in a month, and then celebrate your great results. If your idea was horrible, “undo” the results without harming your account history!

Adwords Experiments allows you to make changes to your account that you can undo if you don’t like the results. Usually, we make changes to our accounts and then look in the account history (or our memory) to keep track of progress. This is adequate 95% of the time. For the other times, we can use Adwords Experiments.

How Does Adwords Experiments Work?
Adwords will test the control group vs your new experimental group and tell you the winner. If you want to keep the changes at the end of the experiment you just click a button and your changes are implemented. If not, your changes go back to the way they were before the experiment.

If you make a dumb decision, it will still have a negative effect on the company. It might negatively effect sales or CTR or whatever during the experiment. Using Adwords Experiments you won’t be permanently punished for trying to improve your account.
This is all that a marketer wants.

When Should I Use Adwords Experiments?
If you are making a risky change to the account, make an experiment. Testing new copy is not risky. Raising the price of a high performing keyword is not risky. Adding a bunch of new negative keywords to a campaign makes me nervous, so I would set up an experiment. Splitting up a high-performing adgroup into two makes me nervous, so I would set up an experiment.

The Positives of Adwords Experiments:
1) You can make risky changes to the account without fear of permanently damaging your account history.
2) One great feature of Adwords Experiments is that it automatically calculates statistical significance. I wonder why this has to be limited to experiments? It is such a useful feature! It would be great in many of Google’s products.
3) Certain variables can only be properly tested by using the Adwords Experiment feature. (One feature that comes to mind is determining ROI-based-on-keyword-position. Previously our testing has had to simulate this effect, or make inductions based upon time-shifting results. That is fine, and we are able to produce actionable-data, but this new way is a little better).

The Negatives- Unfortunately there are a lot of negatives. Perhaps some of them will be ironed out.
1) You can only run one experiment at a time at the campaign level. E-commerce sites tend to have tons of campaigns, so this will not be an issue for you if you are E-commerce. Lead-generation sites tend to have fewer campaigns. You may have set up your account so that you have a ton of adgroups and few campaigns. If this is the case you will be limited to one experiment at a time. (I would not recommend changing your account structure simply to get around this).
2) The interface is complex: make sure your first experiment is simple. Until you get the hang of the interface, don’t make complex experiments. Try messing around with numbers rather than keywords the first time out.
3) Remember that any changes make will have ramifications campaign-wide. A small change to one adgroup may effect another adgroup. Make sure you look for those. Some of the effects to other adgroups are non-intuitive, but that may just be an indication that I designed a poor experiment.
4) You can’t save your experiment history. If you want to save your results you will have to export them and keep a log.

To Summarize:
-Make BOLD changes to your account so that your results will be statistically significant. Bid much higher or much lower.
-Make your first experiment simple.
-Most of your testing can still be done without using this feature. You can still experiment in Adwords without using “Adwords Experiments”.

Adwords Tips: How Much Should I Spend Per Month On Pay Per Click?

“How much should I be spending?” is one of the first and most frequent questions we get from potential clients. In that question are two separate questions that the client wants to know, though they are rarely able verbalize it:

1) What should I be spending per month
2) What will my setup costs be if I don’t already have an account.

What Should I Spend Per Month?
There are several ways to answer this question. You may want to consider these answers before you hire a pay per click management team. Some popular answers to this question are “what you can afford to lose”, “it depends on the industry”, and “about whatever you think you can afford to spend”. Those are all reasonable answers for some clients.

For advanced businessmen and women I think the following answer is better: “If you could buy one dollar bills for $.99, how many would you buy?” Obviously you would want to buy as many as possible, or spend infinite amounts. Even though margins are low (in this example), the more you spend, the more you make.

Would you still be interested in this deal if you had to pay someone else to arrange this service for you? Again, the answer would be yes. While this eats into your margins (again), you are still in a position to make a ton of money if you put up the money.

Lets bring this back to pay per click. Due to advances in tracking technology, we are able to calculate the amount of money you are spending and the amount of money you are making directly from pay per click ads. If this is a positive number, it is no different than the above example, where you are buying dollar bills for $.99.

This advice has is limitations, but not in the ways you might expect. The obvious limitation is that there is not an infinite supply of customers. This manifests itself in the following way: the more you spend, the higher the cost of acquisition, which will eat into your margins. However, if you do not yet have a solid account, you probably do not need to be concerned about this.

Setup Costs
The other limitation to this advice is that it will cost you money to get your account to a profitable state. Accounts are rarely profitable on day one. You will have to invest some money upfront in your advertising, just like all other forms of advertising. This cost varies from company to company. A pharmaceutical company that advertises to every country will pay a lot more than a mom-and-pop button-making shop that serves only San Diego.

Thus, there are two variables to keep in mind that will affect your startup costs (not to be confused with “setup costs”, which is the cost your ppc company charges you to setup the account): How competitive your industry is and how large the geographic region you want to advertise to is.

Find Your Brand’s Affiliates Using Web Analytics

Finding affiliates can be a pain. Many companies rely upon businesses contacting them with interest in their affiliate program. While this method produces many fine affiliates, there are much more proactive ways for a brand manager or marketing manager to find potential partners.

If you are stuck in the beginning phases of your affiliate marketing program, using your web analytics package might be the ticket to gathering all the “low-hanging-affiliate-fruit”. Assuming you have a website that represents your business (brick-n-mortar, or web-based, it doesn’t matter) as well as a web analytics package, keep reading.

The Web Referrals Report
Login to your analytics package. We are looking for a report called “referrals” or “web referrals by source” depending on your program. In google analytics, use the following sequence:
Traffic Sources> Referring Sites

Your report should look something like below: (clickable)

What Should I Look For In The Referral Report?
The referral report shows links and traffic to my site from other websites. It doesn’t show traffic from search engines, or emails; those are in different reports. If someone linked to your site on their site (and someone clicked that link) you’ll see that here. You can also see the different statistics comparing the quantity and quality of different sources. Click on the “ecommerce” tab if you are an ecommerce site to see which sites are bringing you traffic that results in sales. If you aren’t ecommerce, your tab will read “goals”.

That may help you select potential affiliates.

What Does This Have To Do With Affiliates?
An Affiliate is someone that drives traffic to your site in exchange for a percentage of sales or a set amount per lead. These sites on this report are already doing that! You can see which sites are bringing traffic and sales. If they are bringing you 5 sales a day without trying, imagine how many sales they could bring if you offered them an incentive.

There are other benefits to using this report to help you find affiliates: if someone takes the time to link to your site, they are already aware of your brand. That will make contacting them, and “selling” your product easier. The fact that they have a link to your site also indicates that they thought their customers might be interested in your site. They are already sold.

Looking Closer at The Report
You should not just send out a blanket email to all the sites that link to you. You will have to click on their website and see why they linked to your site. There are a couple types of links that are common, but would not be appropriate for affiliate requests:

1) Directories
2) News stories
3) Links from professional acquaintances. (Don’t ask your lawyer to be an affiliate)
4) Employees’ myspace pages

It might not seem like there will be many links left. That will depend on the size of your site and how long it has been active. At the very least this will give you an idea how to approach improving your affiliate program.

Adwords Hack Works Around Current Missing Adwords Feature

One feature that is surprisingly missing in Google Adwords (as of 2010) is the ability to allocate a different daily spend to each day of the week. Imagine the following scenario:

An advertiser spends $100 every day of the week except for Wednesdays. On Wednesdays, the company spends $250. Currently Adwords does not allow you to easily account for this scenario. The closest they come is Google offers you the ability to bid a certain percentage higher or lower on certain days.
That is not what we want.

We could wake up at 12am on Wednesday and change the spend from $100 to $250 and then change it back at midnight. However that seems like a lot of work, with not enough return.
However, there is another way. An Adwords hack, if you will. It ads a lot of complexity to the account, so I only recommend this solution for advertisers that anticipate a great discrepancy in daily spending (based on the day of the week).

Here is how it works: (We will pretend you have an account with one campaign for simplicity sake.)

1) Turn off all spending on Wednesdays by bidding on keywords at 0% on Wednesdays.
2) In Google Adwords Editor copy the campaign and repaste it. Rename the new Campaign “Wednesdays”.
3) In the “Wednesdays” campaign, turn off spending on all days except Wednesday. Set the daily spend to $250.

The result is that campaign one will bid $100/day mon, tue, thur, fri, sat, sun. Your new “Wednesday” campaign will bid on the exact same keywords on Wednesdays but the daily spend will be $250 on Wednesdays.

You can repeat this process for multiple campaigns if you have more than one.

Ideally, this seems like a feature that would be should be addressed by Google’s people. Perhaps it could be added to the interface to save time and avoid confusion.
If you need help with this procedure contact me.