Blog Archive

Archive for the ‘Analytics’ Category

Google Analytics Makes Goals Easier

Wednesday, May 22nd, 2013

Measuring the success of marketing campaigns is essential to the way we evaluate our campaigns. Today, Google Analytics announced changes to how you create Goals to measure conversion activity, making it even easier to determine whether or not your marketing activities are successful.

The biggest change is the addition of goal templates. These templates are dependent on the industry category you’ve selected in your Property Settings. Templates are organized into Revenue, Acquisition, Inquiry, and Engagement goals.

Google Analytics Goals

Furthermore, Google has added twenty additional industry categories you can select from. Your data are made anonymous and then used to create benchmarks for your industry category. These new categories are aligned with Google’s standard for industry vertical classification.

Peter Quale, VP of Technical Search Marketing at Nina Hale, commented on the change favorably, saying, “I just used [the new goal setup] this morning. It worked pretty well and saved me ten minutes!”

Attribution Across the Path to Purchase

Friday, May 10th, 2013

Attributing the Consumer Journey

The Consumer Journey is a hot topic in our cross-platform, digital marketing world. Understanding how consumers move throughout the path to purchase is a necessity for the digital marketer. Between awareness, consideration, intent to buy, and actual purchase, we sure don’t have an easy task in learning how our media channels work with one another! Beyond that, we also need to know what gets consumers to re-engage and become brand loyalists. As we learned at a recent Nina Hale educational event, tracking and attributing conversions across the path to purchase is something many companies struggle with.

Google’s Think Insights recently released a new tool that uses anonymized data from its Google Analytics accounts to set benchmarks for assisting and last interaction conversions across industries. It examines the roles that media channels play in encouraging a consumer to buy. “Assisting Interaction” channels are more helpful as awareness vehicles, while “Last Interaction” channels more directly influence a purchase. Using the ratio of “Assist/Last Interactions,” we can plot tactics along our journey to determine whether they drive awareness or conversion.

We played around with the data a bit and plotted our own clients’ data along Google’s benchmarked journey. You can do this yourself by pulling the “Assist/Last Interaction” ratio from your Google Analytics Assisted Conversions report (under Conversions -> Multi-Channel Funnels -> Assisted Conversions) and comparing it to the journey mapped in the Think Insights tool. It gave us a lot of insight into how our marketing activities currently work toward driving acquisitions and purchases. We also learned a lot about how we might change our media strategy in order to target consumers at specific points throughout his or her journey.

How does your attribution model relate to the consumer journey? Have you been surprised by your data versus Google’s benchmarks? Let us know.

Google Analytics Expands Universal Analytics into Public Beta

Friday, March 22nd, 2013

Last fall, Google Analytics launched Universal Analytics in response to the evolving cross-device consumer journey. Today, it expanded its offering into a public beta, making the features of Universal Analytics available to everyone.

As the accessibility of data grows, analytics is becoming about a lot more than just site-side measurement. It’s being incorporated into a suite of tools whose ultimate purpose is to generate insights and determine whether or not our initiatives are satisfying business objectives. In short, analytics is growing beyond its foundations as a tactic and serving us more in constructing and evaluating strategy. From this, the demand for Universal Analytics was born.

Universal Analytics integrates Google Analytics across devices and enables more efficient, cross-tactical analysis. First, it introduces a new analytics.js tracking code and allows for more customization of data. The snippet officially waves goodbye to cookies and instead relies on universal tracking IDs. Ideally, this allows us to track consumers throughout his/her journey. This pairs well with another new feature – we can now collect and send incoming data from any digital device to the Analytics account, allowing us to track data from multiple devices – phones, tablets, laptops, etc.

Additionally, Universal Analytics allows for easier customization of configuration settings. We now have the opportunity to import other data sources into our Google Analytics accounts. The possibilities here are endless; we could include offline sales, call center data, third-party data, store visits. Another feature that Universal Analytics enables is the creation of custom dimensions and custom metrics to track data that Google Analytics doesn’t track automatically. The opportunities here are exciting; we’ll either be able to create new metrics and dimensions to better understand the data we import into Google Analytics or we’ll be able to create new dimensions and metrics based on the data that Analytics already tracks.

Google’s shift to Universal Analytics indicates that analytics departments should continue to be challenged to move beyond reporting and analysis. To learn how you can implement Universal Analytics, visit Google’s Developer Guide.  

Facebook Personal Analytics by Wolfram Alpha

Friday, March 22nd, 2013

Wolfram Alpha has continued its expansion into the data analytics space with analytics for FacebookWolfram Alpha is a “computational knowledge engine” developed by Wolfram Research. Most recently, Wolfram Alpha has released a way to let Facebook users use personal analytics to get a detailed picture of their social media data, including activity, post statistics, check-in statistics, app activity, photo activity and a detailed analysis of your friend network. Right now, the report is a pretty straightforward analysis. This is just the start of Facebook personal analytics, Wolfram said more features will be added in coming months. When accessing Wolfram Alpha Personal Analytics for Facebook for the first time, you will be prompted to authenticate the Wolfram Connection app in Facebook, and then sign in to Wolfram Alpha. After that, Wolfram Alpha will generate your report from the data it can get about you through Facebook. Best of all, it is free!

When you type “Facebook report” at WolframAlpha.com or access the “Facebook report” through Wolfram Alpha Facebook Analytics, Wolfram Alpha will generate your “Facebook report” which will be broken into a number of sections, with all sorts of data and information about your activity on Facebook. 

Here’s an example of the report by Stephen Wolfram:

 Full Scan

 

Below, an example of the gender distribution report:

Gender Chart

 

Below, an example of different friend and interest graphs:

FB Array

 

Below, an example of friend hometown distribution:

 Friend Hometowns

 

Below, an example of the friend age distribution:

Friends Age

 

 Below, an example of a chart showing activity over time: 

Activity

Wolfram Alpha has allowed anyone to explore the power of analysis and now gives you the power for all sorts of Facebook personal analytics.

 

Screen shots have been sourced from: Wolfram|Alpha Personal Analytics for Facebook

NHI Presents at #BigDataMN Conference

Monday, January 28th, 2013

The Nina Hale Analytics Team battled the 5 below temperatures on Monday to attend and present at #BigDataMN, one of Minnesota’s first big data conferences. Alongside 700 attendees we learned about what lies at the intersection of data, programming, analysis, business, and communication. The event was organized by the local analytics professional organization, MinneAnalytics, and was held at the Carlson School.

The day commenced with the Carlson School announcing its newest program from the Social Media and Business Analytics Collaborative (SOBACO), which aims to educate more data and analysis professionals. It is encouraging to see academic institutions acknowledging data as a necessity within business studies. The proliferation of data requires that we build our talent pool, educating more people on how to collect, make use of, and understand our data.

presenting at big data conference

Alongside Chris Malone, Professor of Statistics at Winona State, I co-chaired a room devoted to discussing the question of how we develop, find, hire, and retain talent within the data field. My panel discussion consisted of HR representatives from large Minnesota corporations, a professor from the Carlson School, and a third-party recruiter for SMBs. Our conversation was rich, demonstrating an increased need for academic preparation for the data profession as well as a method to measure the performance of and retain practicing data specialists. We seemed to agree that there is no distinct definition of what data scientist does, which makes the job of recruiters and HR professionals extremely challenging.

#BigDataMN was a fantastic opportunity to observe the interdisciplinary nature of an emerging field. Because of the breadth of applications for data, it was enriching to learn from people across a multitude of professions. Data is forcing a marketing renaissance; time to get ready and ride the wave.

Google Analytics Updates User Interface

Friday, January 18th, 2013

On January 16, Google Analytics updated its User Interface. These updates to top navigation and dashboards will simplify and improve functionality and user experience.

Top Navigation

Fewer tabs in top navigation create a more streamlined user experience. “Standard Reporting” and “Custom Reporting” have been consolidated into one “Reporting” tab, and “Real Time Reporting” has been elevated in importance and consolidated into “Standard Reports.” Additionally, Adwords now lives within “Traffic Sources” under “Advertising,” a more logical navigational position.

 before after

Dashboards

The ability to create different dashboard layouts in the new interface will make it easier to visually organize information. Advanced segmentation will allow users to segment their dashboard in a few clicks. The Dashboard also includes two new types of widgets! 

Geomap Widgets: This world map tool (no surprise), by continent or subcontinent. 

map

 

Bars Widgets: This bar graph tool pivots and displays data, allowing categorical variables to be compared in a new and exciting method that was previously impossible to display visually.

 

bar 1

 

bar 2

Coming in for a LANDING page!

Friday, November 16th, 2012

Whether managing just one search engine marketing account or many, one thing that is certainly always recommended are custom landing pages.

Plane Landing

 A landing page or lead capture page is where one is directed once they have clicked on a search ad. 

Custom landing pages are always recommended and you should do whatever you can to make them available. The reasons they are so important starts with goals and conversions. Custom landing pages convert better than website pages, messaging can be more direct and controlled than website pages, they help out your paid ads by boosting quality score, and they are easier to test and optimize than a website page. The landing page will usually display sales copy that is an extension of what has been written or read in the ad copy. Depending on the goal, most marketing professionals choose to use a website homepage, ‘contact us’ page, product detail page, email capture page, pretty much whatever is available to then without going that extra step of developing a custom landing page. Most common reasons a client or search manager will go the direction of using the website vs. a landing page for search ads usually are not enough resources (developers), not enough money in the budget, not enough time, not enough communication and strategy.

With that in mind, below I have included 12 landing page recommendations for your enjoyment! 

LANDING PAGE RECOMMENDATIONS:

1)      Deliver relevance

If visitors to your landing pages have clicked through from your ad, then they will have a specific goal in mind, so you need to convince them that your landing page is relevant to the goal. Give the visitor clear headlines to show that a page is relevant and encourage them to scan down the page. Make relevant messages easy to read. This means nice clear, large fonts.

2)      Make sure your page is logical

Your landing page should tie up with the ad that sent customers there in the first place, so if you have enticed visitors to your site in with an ad for a specific product then they should be seeing a picture of the product together with a clear call to action, rather than a generic category page.

3)      Give detail for decision making

You need to give customers enough detail on the landing page so that they can make an informed decision about whether to purchase the product / service or not. 

4)      Assist users with their purchase or sign-up

The next step the visitor needs to take to sign up or purchase should be made clear to them on the landing page. Every extra step taken to complete a transaction will reduce the response. If they have to go to another page to complete a purchase, then include multiple calls to action to leave them in no doubt where to click. If a multiple pages is necessary, draw people in with easier questions upfront.

5)     Keep the number of steps and effort in mind

Content should fit on one page that doesn’t require any scrolling, but a longer page may be necessary to be able to contain all the information. Provide just enough information, while ensuring that information and calls to action are placed above the fold.

6)      Images

Graphics should be consistent with the campaign and appealing to users. 

7)      Consider menu options

Removing menu options can increase conversion rates since users have a smaller choice of where to click. One option is to limit the menu to top level options only.

8)      Consider ‘flow’ in design

For landing pages, a controlled, fixed design will often work best and is most common.

9)      SEO and Analytics

If your PPC strategy is linked to an offline campaign then make sure it matches the brand that people will search for in response to your ads. Set up tracking, and conversion code for optimization.

10)   Provide options 

You may have created the perfect landing page, but some people will still not respond, so give them options. Provide a clear phone number, email form or live chat option in case they prefer to purchase in this way, and links. 

11)   Review Review Review

Landing pages should be tested frequently to see if improvements can be made to increase conversion rates. The only way to be sure of what works for your audience and your market is to conduct structured tests such as usability studies, A/B testing or MVT testing.

12)   Take down old landing pages

Some landing pages are used for short term campaigns, and links to these should be removed so customers don’t see out of date offers. Using a custom 404 error page is a good way to manage this problem.

———————————————————

Holidays are coming up, make sure your landing pages are good to go!

Happy Searching!

Luncheon with Matt Cutts from Google – PubCon 2012 Las Vegas

Thursday, October 18th, 2012

While attending PubCon 2012 Las Vegas, we got to hear Matt Cutts (the Distinguished Engineer at Google) provide an overview of what Google, from a search and webmaster perspective, rolled out over the last year.

Below are the items Matt detailed in his “the last year in more detail:”

In addition, he also announced the release of the new (and “improved” – you had to be there!) tool.

The new disavow links tool was created for Webmasters to disavow “problem” links coming to their site that can’t be cleaned up by normal means. We should state that many speakers, including Matt Cutts, stated most sites should not use this tool. It should only be used if:

  • Received a message in Webmaster Tools about “unnatural links” pointing to your site
  • Done as much as you can to remove the problematic links, but there are still some links you just can’t get removed

Before using the tool, read Google’s blog about the disavow tool.

Google Tag Manager: Tracking Made Easy

Monday, October 8th, 2012

Whether you are running a large e-commerce site, struggling to keep the proper tracking code snippets on the proper pages, or whether you are an agency dealing with client-side IT department backlog, the Google Tag Manager is a long awaited tool. If you are at all familiar with DART container tags, then you will be right at home with the Google Tag Manager. The Tag Manager allows you to disperse only one universal tag throughout an entire site.  This container tag will allow you to place any and all tracking code inside it, without having to actually edit anything in a CMS or site code.

Here is a sample container tag code snippet:


<iframe src=”//www.googletagmanager.com/ns.html?id=GTM-LS4V”<br />height=”0″ width=”0″ style=”display:none;visibility:hidden”></iframe>


// <![CDATA[
(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],
j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
'//www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);
})(window,document,'script','dataLayer','GTM-LS4V');
// ]]>

In layman’s terms, this code snippet references any of the tracking scripts that have been placed inside this container tag, inside Google Tag Manager.  Again, this requires one single involvement from the IT team, after which all tracking code changes can be done inside the Tag Manager environment. After adding the container tag, you can add any of the available tracking code templates, or custom free-form tags.

Google Tag Manager Template Tags

You can then create rules to place certain tags on certain pages, and not on others.

Google Tag Manager Tag Placement Rules

The will be great for the following situations:

  • Adding new tracking tags, whether they be from a new channel or a new analytics tool
  • Updating your current tracking code (e.g. updating to the asynchronous version of the Google Analytics tracking code)
  • Creating tracking code customizations (e.g. cross-domain tracking)

There are several other benefits to using the Tag Manager:

  • If you have many tracking code snippets, this tag will sever these tracking scripts asynchronously, making sites that much faster
  • It will decrease code bloat on each page, which again will slightly improve page speed

Condensing Avinash Kaushik

Monday, September 24th, 2012

I just spent some of the morning reading the newest post on Avinash Kaushik’s blog Occam’s Razor. Avinash is the Digital Marketing Evangelist for Google, and while he doesn’t post frequently, it is always interesting and thought provoking.

Today he wrote about how to measure Facebook advertising results and how to prove the value of Facebook to upper management. I won’t lie to you – it’s a LONG post. Avinash doesn’t  maintain a blog as much as he writes novellas.

I’ll try to summarize his wonderful post today in hopes that you will go to his site to read more.

1. Facebook is huge and young, and not many people know how to use it

2. Facebook can be used effectively and well beyond the general “show an ad to an audience” formula

3. Questions raised: Why is it so hard to measure/prove the value of Facebook, especially to upper management?

4. Measurement isn’t the only problem, it’s what you do with the information.

5. The path to analytics enlightenment (does not apply to Facebook)

  • obsess about the wrong things (impressions)
  • bounce rates, page views, time on site
  • macro and micro conversion rates, visitor loyalty
  • multi-channel analytics, offline value, etc

6. Most ads on FB are to drive likes and engage a temporary audience, not traffic to website

  • this is the main difference between Google/Bing/AOL and FB; you are spending money to build an audience on FB in the hopes that they will like you enough to recommend you to a friend and buy something down the road.
  • You now measure the effectiveness of building an audience (# of likes and everything else happening on FB)
  • If you are trying to measure bottom line metrics like conversion rates, you are missing the point of FB

7. You must convice management that FB is a value

8. Avinash will hate you if you measure likes to show value. Report instead on metrics that show interaction – Engaged Users and Virality)

9. FB offers a treasure trove of data, most of it needs deeper analysis to be useful

10. Run controlled experiments to get enhanced understanding of impact of FB

11. Create products that easily drive social activity

12. Social media success doesn’t guarantee business success

Again, this is a very condensed verison of a very awesome post from Avinash. Do yourself a favor and read the whole thing! 

 He has evangelist in his title for a reason.