Tuesday, January 15, 2008

Should you be paying for the clicks on your brand keywords?

When you do a search on your brand name or your company name, chances are that you will have you company’s site listed as the top organic result. If it is not then you should first learn about Search Engine Optimization before reading this post (email me and I can help you with all your SEO/SEM needs).
It is also very likely that there won’t be any paid listing on the SERP (Search Engine Result Page) when you do a search on your own brand name.
If you do buy paid search listing, it is going to appear just above you’re your own organic listing. Is it a good idea to buy the paid listing and pay the money to Search engine for something you could have got for free (next listing after paid is also yours)? And visitor by searching on your brand name has shown their intent of visiting your site.
If you use an agency, I am sure that your agency is already buying your brand keywords and showing you how good your conversion is on your aggregate keyword buy. Well if a consumer is already looking for your brand name then their intent is very clear, they are ready to be converted. A lot of users use brand keyword in search to get to a particular site, they use built in search functionality in their toolbars (Google, yahoo, msn etc) which then takes them to SERP of the toolbar provider. If a user is looking for your site and you know you will be number 1 in the SERP, does it make sense to buy a keyword? Isn’t it unnecessary? Won’t you be wasting your money?
Some might argue that buying that keyword reinforces your brand name and your site in visitors mind and hence you will result in more click-through, visitors, conversion and ROI. But how can you be sure? That’s exactly what I am going to show you in this article.
The first and foremost thing is to understand what value you are getting from your search marketing efforts, paid and organic. Once you understand the complete impact of both types of Search Marketing efforts you will be able to make an informed decision. A decision that will be based on your ultimate business goals e.g. increase site traffic, increase conversion, increase ROI or a combination.
Here is my 5 step process to determine if you should buy Paid Search on your brand name keyword or not.
  1. Configure Web Analytics Tool: The first step is to configure your web analytics tool so that it can measure and report on the traffic for your brand keywords in 3 separate segments, paid, non-paid and total,. Below is a screen shot from Google Analytics showing paid, non-paid and total for a particular keyword. (I will not cover how to configure your tool since they all have different configuration. I will be able to help you if you email me).



  2. Develop Baseline: Develop a baseline for total traffic and conversion for the three segments (paid, organic, and paid and organic for your brand keywords). See how much traffic is generated by each segment and how much of that traffic is converting.

  3. Test: This is the crucial step in determining if you should buy your brand name keyword or not. If you are not currently running paid ad then this step is much easier than if you already have the paid search running. If you already have the paid search running, you have to be willing to take a chance to do this test. It might not work out in your favor but unless you try it you will never know.
    1. Paid search already running:
      Stop the paid keyword for your Brand Keywords – Stop the keyword for time enough to generate significant traffic and conversion data.

    2. Paid Search Not Currently Running:
      Start the paid search for your Brand Keywords - Start the paid search campaign for time enough to generate significant traffic and conversion data.




  4. Report the numbers: Report the new number with your baseline. Putting them side by side will help in easy comparisons (See the example below)

  5. Analyze the data: Let’s take a look at an example which will help you with analysis.


Example:
Let’s look a company, whose brand keywords generates on an average of 150 searches. Let’s assume that conversion rate on these keywords is of 50% , cost per click on paid placements in $0.50 and profit margin on each conversion is $3
A typically time period, when you have both Paid search running, results in the following data


Table 1


You get 100 click throughs, 80 from organic and 20 from paid.
* Total Profit on Paid Efforts = (Profit Margin on Conversion * Conversion resulting from Paid Search) – Total Cost of Paid Search. This calculation only uses CPC cost and does not include agency and other direct or indirect cost. Other costs associated with buying, placing and reporting will further add to total cost.
So far, it all looks good, your paid search efforts are paying off and you continue to keep buying your own Brand name keyword.
Now stop running the paid searches.
Now let’s take a look at numbers when you stop running the paid search. Using the same assumptions as above
  1. A conversion rate of 50%

  2. Cost Per Click of .50 cents

  3. Profit Margin on each conversion is $3




Table 2

* Total Profit on Paid Efforts = (Profit Margin on Conversion * Conversion resulting from Paid Search) – Total Cost of Paid Search. This calculation only uses CPC cost and does not include agency and other direct or indirect cost. Other costs associated with buying, placing and reporting will further add to total cost.

Since there is no paid search listing, all of the 100 clicks (assuming same number of clickthoughs) will go to organic. Say now instead of 100 (that you got when you had paid search running) you only get a toal of 96 and rest of the 4 go to your competitor or somebody else who shows up under your brand name in organic listing.

Now we have all the data we need, let’s put them side by side and compare



Table 3

Paid search placements result in a total of 100 (from paid and organic) while only organic results in 96. Your cost per conversion from paid is $1.00 and you are making $20 in profit from your paid search efforts. It all looks good.
Now, let’s take a look at the results in another way.


Table 4
*Assuming you have basic SEO for your brand keywords.
**Cost Per Extra Conversion = Cost for paid search/(Additional conversions you gained by running paid search)
As you see above you only get 2 more and not 10 conversions by participating in paid search.

You only get 2 more conversion by paid listings and not 10 as paid listing report was showing. You got 48 conversions when you stopped paid listings and 50 when you used paid listing. So effectively you paid $10 for 2 more conversions. That is $5 per conversion not $1.00 as you agency might have reported on your paid search listing report.


So in light of this information, here is your profit and loss statement.


As you see above you have a loss of $4.00 instead of a profit of $20 on your paid search efforts on your Brand keywords.

Note that above example in only for illustrations so you have to look at your own number and test them to see if you are making or losing money. As I showed above this issue is really significant on branded keywords but you should apply the same login to your non-branded keywords too and see if you are losing money or making money by participating in paid search.

Please send me an email if you would like the excel sheet for these calculations so that you don’t have to recreate it. Also email me if you would like a PDF version of this post.


Here is an example where, I think, the company is losing money by buying their own brand keyword.

They should probably file a complaint with Google to not sell their brand name to the ToyRMall (listed on the right hand side sponsored listing) and not but their own brand name keyword. Most of the listings on the first page of SERP point to ToysRUs site anyway.


So are you wasting money? Chime in.

Even though I have written about the brand name keyword, you should do this exercise with your top keywords to make sure you are not losing money.

Note: After I had written this post, I found out that Gary and Gary had also written post on this same topic (Thank you Jaimie Scott, for sending me these links).

Sunday, January 13, 2008

Web Analytics, SEO and Online Marketing Posts from 2007

I have compiled a list of some of the web analytics posts that I wrote in 2007. In case you missed them or want to read again, here they are:

Web Analytics

  • Understanding time spent of site - I have come across this KPI over and over again. Many of my clients want to report it on frequent basis and some even have this as one of their goals for the site. However, I am surprised to find that not many people (not even a lot of web analysts) understand how this metrics is calculated and what this is actually reporting. This post explains what time spent on site or a page means and how it is calculated.

  • Referring Domain Demystified - This two part series explains how referring domains are reported by the web analytics tools.

    1. Referring Domains Demystified - Part II

    2. Referring Domains Demystified


  • Bounce Rate Demystified – This post answers three questions about bounce rate
    1. What is bounce rate?

    2. What is the industry standard for bounce rate?

    3. What causes high or low bounce rates?


  • Are you doing Web Reporting or Web Analytics? – This post clears the confusion between Web Reporting and Web Analytics.

  • Books Recommended by Web Analysts - If you are starting a career in web analytics or are already working in this field but are looking for some good reads then this list is for you. Please note that this is not a list of recommended books by me, these are from the analysts I interviewed (except for Competing on Analytics). I have not even read most of these books yet.


Online Marketing

  • Targeting Cart Abandonment By Email - This post provides some steps that you should include into your process for using email incentives when you target users who abandon shopping cart on your site.

  • What does Website Optimization mean? - Depending on your role in the organization you might have define Optimization which might not be the same as somebody else in a different role. The people responsible for different pieces of website optimization do not understand the complete picture and are locked in their own definition of website optimization. This article explains what optimization means.

  • Do you really need a home page? - Home page has long been the focus of attention of most of the marketers. But should it be? This post shows you how you might be missing on a huge opportunity by focusing on just the home page of the site.

  • 10 steps for measuring online advertising success – This post shows my 10 steps process for measuring the online advertising success, nothing fancy, a simple straight forward process that will improve your bottom line.



SEO

  • Relying too much on SEO? Think Again. - A lot marketers are getting too obsessed with traffic driven to their sites from Google, Yahoo, Live (MSN), ASK etc without thinking about the consequences of dropping off from search engines rankings. I understand that it is relatively cheaper (notice I did not say Free) than paid inclusions, banner ads, affiliates etc. And ranking high on search engine is something to be happy about and proud of, ranking high on search engines provides you competitive advantage. But Free comes with risks.

  • Follow the Search - Search is a powerful (relatively free) way to generate site traffic. However it also results in huge bounce rate, this article talk about a simple way to engage these users and decrease the bounce rate which increasing the conversion.


      Saturday, January 12, 2008

      Global Thoughtzis - A new marketing blog

      Global Thoughtz is a new marketing blog designed by Manoj Jasra and Jody Nimetz featuring the perspective of international bloggers. This new blog features online marketing strategies, search engine market share, technology, social media and much more ALL from different countries from around the world. If you are interested in contributing send them an email: globalthoughtz@gmail.com

      Currently Global Thoughtz features the following countries:


      Australia
      Canada
      Greece
      Germany
      France
      India
      Japan
      Russia
      Scandinavia
      United Kingdom

      Tuesday, January 08, 2008

      Web Analytics and Behavioral Targeting Predictions for 2008

      Last year I made 5 predictions about Web Analytics and Behavioral Targeting. I was pleased to find that all of them came true by the middle of the year.
      Now it’s a New Year and time to make fresh prediction about Web Analytics and Behavioral Targeting. So here are the 5 predictions for 2008


      1. Offsite Analytics – With proliferation of Widgets and Rich Media ads a need to measure, understand and optimize the user interaction with widgets and Rich Media ads will become important. Web Analytics will include offsite measurements i.e. user interactions with widgets and Rich Media Ads

      2. Google Analytics – Google Analytics will mature further and start taking customers from other analytics tools like Omniture, WebTrends, Clicktracks etc. The configuration will become little complicated (and hence need for Google Analytics Expertise will grow) and Google will also expose more APIs to allow companies to pull and merge different kinds of data with Web Analytics Data.

      3. Mobile Analytics – Mobile sites and mobile advertisings gains momentum. Mobile Analytics will be become a requirement to understand how the sites and advertising is performing. Currently you can either use log files, WAP gateway logs if you are one of the mobile carriers (this is what I did back in 2001 -2002) or use services from Amethon. This year we will see more players in mobile Analytics. The reporting will become better than what has been offered to date.

      4. Online and Offline Data Integration – A need for integrating offline data and web analytics data will become a priority. ZeroDash1 founders saw this need in the market and hence started this company. More companies will push in this direction including web analytics vendors. Oracle bought a Web Analytics companies (I predicted this also). I can see them integrating CRM and Web Analytics into one package.

      5. Behavioral Targeting – Behavioral Targeting will continue to grow this year, however, there will be greater push for protecting consumer privacy. The privacy concerns will result in two things:

        1. Clear instructions (or links) on Behaviorally Targeted Ads that will allow behaviorally targeted visitors to opt-out of Behaviorally Targeted advertising

        2. Opt-in system – Some networks (maybe new ones) will move towards opt-in rather than opt-out (I favor opt-in over opt-out as I wrote in past. So I am making this prediction that this year networks will pay attention to it). A new types of networks or services might come up which will allow users to be an active participant in BT and control who can use their online behavioral data and how they can use it.




        What do you think?

        Sunday, January 06, 2008

        Amazon and ToysRUs sharing visitor behavior data?

        Just before holidays a colleague of mine asked me if Amazon and Toys"R"Us were involved in behavioral targeting. He told me that he did search for Lego on ToysRUs and few days later when he visited Amazon, he saw Lego featured on the home page. He said that he had never did any search for Lego on Amazon.
        I looked at the code on ToysRUs and did not find anything that looked like it is sharing data with Amazon.
        To see if there was any data sharing going on I decided to give it a try myself. Before I did anything I went to Amazon and made sure there were no Lego related products on the home page, they had recommendation and featured products for me but none of them were Lego. I refreshed the page few times to make sure I am not missing anything. Then I went to Toys"R"Us, did Lego search and came back to Amazon but nothing there. I visited Amazon for next few days but nothing there and I forgot about it. After holidays my colleague again asked me about this issue. So I checked again and voila this is what I saw.




        Not sure if this was a chance or really there is some data transfer going on between Amazon and ToysRUs (they both are Partners I think).

        ToysRUs site’s “Privacy Policy” says:
        “With our Service Providers: "R" Us Family members may share your personal information with service providers who provide services for or administer activities on behalf of the "R" Us Family (such as, but not limited to, authorization of credit card and check transactions, order fulfillment, sweepstakes and contests, and co-branded or joint product and service promotions). The "R" Us Family may share your information with service providers who develop, host or maintain the "R" Us Sites on behalf of a member or members of the "R" Us Family. The "R" Us Family may also share your information with service providers who warehouse product, personalize product and perform order fulfillment services on behalf of a member or members of the "R" Us Family. These service providers are granted access to some or all of your personal information as necessary and may use cookies (as defined below) on our behalf, but are contractually restricted from using your personal information in any manner other than as may be necessary to perform their services. We may also utilize service providers to assist us in aggregating customer information. We may then share such aggregated information with prospective marketing partners and advertisers.” (I bolded the last sentence to show that they do mention the data sharing in their privacy policy)

        Again, I am not sure if there is any data sharing going on or not but me and my collegue noticed it so I decided to write about it. It is very likely that Amazon was just promoting Lego and had nothing to do with me searching those on ToysRUs. But knowing how Amazon is so advanced in personalization and targeting there seems to be a mini behavioral targeting network between Amazon and ToysRUs. Additionally, I have never ever searched for Lego on Amazon (even on any other site) except for this time when I was doing this testing.

        If I were really in the market for Lego, I really like the ease of going to Amazon, who knew what I am in the market for even me without searching there and showing me those products. This is the kind of thing I talked about in my post on Behavioral Targeting and Affiliate Marketing.

        I think this is a brilliant idea. If what I saw (Lego Targeting) just a chance, I won’t be surprised if Amazon and other will create their own min Behavioral Targeting networks in near future. eBay is another company which has a huge eco-system and can create a powerful behavioral targeting network.
        Have you noticed something similar on Amazon and Toys"R"Us? Any other sites?

        Friday, January 04, 2008

        Forrester Research names ZeroDash1 in their report

        ZeroDash1, was one of the Web Analytics consulting companies named in a Forrester Research’s latest report by Megan Burns, titled "Where to Get Help with Web Analytics."

        Who is ZeroDash1?

        According to ZeroDash1: ZeroDash1 was founded in response to the industry void that has evolved between reporting and analytics.”

        “Historically, Marketers looking for analytics have instead been given reporting. At Zerodash1 we distinguish ourselves by bridging the gap between reporting and analytics. Our goal is to bring to the table both the technical (reporting) AND the analytics (insights). While many of our counterparts spend a lot of time manually putting the different data pieces together, ZeroDash1 strives to automate most of the data pulling and reporting thus allowing analysts to focus their time analyzing the data. The end goal being, marketers and business users have actionable data that they can make accurate business decisions with.”

        “Data that companies collect reside in various places e.g. web analytics tools, CRM databases, ad serving platforms, email databases and Google Adwords to name few. Our team helps aggregate all these data points to one place so that you get one comprehensive view of the data rather than having to look at different places”. For example: One of our customer had several data points of a conversion funnel scattered along a SQL Server Database, SQL server OLAP cube, MySQL database and Omniture. As a result, they were only getting a partial picture since some data was available daily, monthly and some after a few days. Our solution pulled all the data capture points together and provided them with a complete funnel. ZeroDash1 automated this entire process, which negated their team having to manually pull these data points. As a result, they now have more time to concentrate on optimizing the conversion process versus getting to the data.”

        “Our work empowers the marketing professional."


        ZeroDash1 offers the following marketing services:

        Data Reporting Services
        • Aggregation of disparate databases

        • Bridge the gap between legacy databases, web reporting, new reporting, etc

        • Dashboard/Scorecard/Reporting System Development, Implementation and Automation


        Web Analytics Consulting
        • Web Analytical framework & KPI development

        • Analytics Best Practices evaluation

        • Online ROI Calculations

        • BI Executive summaries

        • Web analytical tools selection

        • Implementation of web analytical tools including but not limited to Omniture, Webtrends, Coremetrics and Google Analytics

        • On-going data analysis and recommendation to improve the user experience and conversions

        • Email analytics


        Search Engine Marketing Services
        • SEO (Search Engine Optimization)

        • Pay Per click campaign implementation and management



        Website Optimization
        • Landing Page Optimization

        • A/B and Multivariate testing

        • Tool recommendation and implementations

        • Conversion path and funnel analysis and optimization


        Behavioral Targeting
        • Beahvioral Targeting Process Development for Onsite as well as network

        • Behaviroal Targeting Vendor Selection

        • ROI models calculations

        • Segment Selection and creation

        • Ongoing analysis and optimization


        3rd party Ad Serving Expertise
        • Campaign Management/Implementation/Reporting

        • Action Tag Implementation/Strategy

        • Extended Data Collection/Custom Reporting and Analytics

        • Behavioral Targeting


        Full Disclosure: I work for ZeroDash1. If you want to know how we can help you please feel free to email me at batraonline at gmail.com

        Tuesday, January 01, 2008

        Web Analytics Salary Survey 2007

        Web Analytics has become one of the hottest career fields in past year. This is exactly what I predicted in January of 2007 when I made the predictions for 2007

        Recently an article on WISTV.com says
        Companies everywhere are allocating resources to developing effective Web sites, says O'Donnell. [GL1] She points to Web analytics as a specific, cutting-edge job choice. "Companies need people who can make their sites easy to navigate and visually impactful, so Web analysts need to understand human psychology and also be slightly obsessed with the Web," she says.

        As people make a decision about their career one of the questions that everybody has on their mind is “What can expect in terms of money?” To answer this question I conducted a salary survey a few months back. In this post I am going to post the result of that survey. I would like to thank all of you who participated in this survey.

        I had total of 102 responses from web analysts around the world. I did not have enough data to show salary results for any other country except US. In future I will conduct a survey for a longer period of time to get more data from other countries as well. Every position except the Director had siginificant number of respondents. So when you look at these numbers keep that in mind that salary for Director level might not be a true representation of the actual salaries.

        Average and Median Salary by Title

        Average salaries and bonus for web analytics positions ranged from $31,000 to $212,000. Most of the people with Analyst titled had 0-2 years of experience. It appears that as these Analysts get more experience and transition into Sr. Analyst their salaries jump significantly (+42% on average).

        Base Salary by Job Title





        Base Salary and Bonus by Job Title




        Average Base Salary and Bonus by Job Title





        Over 57% of the respondent had bonus along with the base salaries. Bonus was a component of total package at all the positions.
        Sr. Managers seem to have higher bonus than people with Director Title. Since there were very few “Directors” who participated in the survey I am not confident that these numbers truly represent the current market salaries. (I encourage you to participate in next survey that I will conduct to make sure we have enough data points).


        Salary based on Total years of Experience

        Base Salary by total years of experience



        As expected salaries increased with the years of experience. Median salary of “7 and Above” year was below median salary of 5-7 year of experience. I think the cause of this was that a lot of people with experience in other fields made a move to Web Analytics. Their salary in web analytics is higher than what they were making in their previous jobs but still below that of others who have been working in web analytics or marketing fields.

        Base Salary and Bonus by total years of experience



        Average Base Salary and Bonus by total years of experience





        % of compensation in bonus grows with the number of years of experience.
        People with 0-2 years of experience make an average of 6% of their base in bonus
        People with 2 -5 years of experience make an average of 13% of their base in bonus
        People with 5-7 years of experience make an average of 16.5% of their base in bonus
        People with 7 and above years of experience make an average of 17.9% of their base in bonus

        So do you fall in this range? What would you like to see in future surveys? Leave anonymous comments if you don’t want to disclose your name?

        Please contact me at batraonline at gmail.com to get a PDF copy of this report.