Archive for the ‘web analytics’ Category

Feb 13
2013

Marry Google Analytics and Voice of Customer“I…i…i…i… I’m soooo in love with you… whatever you waaaant to dooo… it’s alright with meeeee…!” – lyrics from the “Reverend of Soul” himself – Al Green.

It’s Valentine’s Day, love is in the air! So, we thought we’d shoot cupid’s arrow through this next post about data and measurement. Give it some “love”, so to speak.

If you’re heavy into Google Analytics, you might be “infatuated” with quantitative data - “views”, “visits”, “bounces”, etc. – and…ahem…”RAW” numbers. That’s only one “better half” though. That is, it’ll tell you “what” is happening on your site. However, what about the other half – “why”??? One way to answer that question is by “marrying” your quantitative analytics data with qualitative, “voice-of-customer” survey data.

“Why… why do people break up? Then turn around and make up… I just can’t seeeeeeee….”

Let’s take a statistic of love. Unfortunately, it looks like approximately 50% of marriages fail :(   [Cupid, what the hec are you shooting at?] The Reverend of Soul, Al Green stated in his immortal lyrics, that he could see “what” was happening, but for the life of him, just couldn’t see “why” people break up!!!

This Valentine’s Day, let’s pretend to try to solve this urgent matter of the heart. WHY is this happening?! Is the aforementioned statistic enough for you to take action? Doesn’t look like it.

Those of you who’ve been through a tough time in your relationship know it’s not black and white – there could be a plethora of reasons:

  • You might have grown apart
  • Stresses like money could have strained the relationship
  • Infidelity
  • Communication could be missing
  • Etc.

As any counselor would tell you, they wouldn’t just diagnose “what” is going on in a couple’s troubled relationship, then right away present solutions. In order to solve the issues, they would go into several deep counseling sessions so they can get to the nitty gritty of “why” this is happening.

Similarly, diagnosing “what” the issues are with your website is only part of the process. Voice-Of-Customer qualitative surveys could potentially give you insight into “why”, insight that may not be readily apparent from quantitative data.

“Let’s Stay Together” – Putting Voice-Of-Customer Together with Quantitative Data

You have several ad campaigns leading visitors to a landing page asking them to register for your event. As the example figure below indicates, your analytics may be telling you that your landing page is getting all the traffic you’re paying for, from Facebook/Google Adwords campaigns, etc. You’re spending good money, and your micro conversion, say an agenda for your event, is getting all the downloads you want. But according to your data, the bounce rate is really high and no one is registering for your conference. Why?!

campaign metrics googel analytics

We recently ran into a similar situation with a project our consultants were assessing, and tried to figure out the issue:

  • Was there not enough sales information? We listed all the bullet points…
  • Did clients not trust the organization/service? We listed impressive certifications and testimonials…
  • Was the registration call-to-action button not clear enough? It’s big and yellow, and it looks like people are clicking on it according to our data…Just not completing registration

At this point, even if you had all the unsampled data in the world from Google Analytics Premium, you’d still be stuck. There’s always an option of implementing A/B testing, but that would take time and coding. Plus, what do you start testing? You can make educated guesses, but you’re pretty much taking shots in the dark (like cupid).

So even before we explored A/B testing, we tried implementing Qualaroo – an awesome, quick, non-invasive survey that quietly pops up based on criteria you set (ex. 30 seconds on the page, after 2 pages have been visited, etc.). You can ask any question – open-ended, multiple-choice, etc. And after each survey is complete, get reports in the native interface or download reports into .xls for deeper crunching.

So we asked – “Second thoughts about registering? Why?”

qualaroo survey voice of customer

Sample responses were as follows:
qualaroo survey results
As you can see from the responses (after ensuring we had enough replies for an acceptable confidence level/ statistical significance…), it was pretty much unanimous – pricing was the issue!

It would have been extremely hard to conclude that with just the quantitative data. We may have stumbled upon this after some A/B testing, however, after marrying the qualitative, it pointed us towards a pretty reliable direction in a quick and efficient manner. Even if we wanted to verify using A/B testing, we now have an idea of where to start.
They lowered the pricing and registrations started rolling in!

Conclusion

So when you’re having dinner by candlelight tonight, gazing into your lover’s eyes… slowly move in close, and whisper ever so gently… “My quantitative is incomplete without your qualitative…” <3

Feb 12
2013

Allaedin Ezzedin Top 5 Percent LinkedInOkay.  I have to say if I were wearing my ego (bragging) hat, and if no one in our office had a higher number of LinkedIn profile views than mine (ahem… Feras Alhlou), I might be more excited about the latest brilliant LinkedIn marketing email blast. Recently, they sent a blast about their 200 million members milestone.

While I appreciate the fact that my LinkedIn friends made the effort to update me about the state of their network in 2012, the message I got today about my profile, Allaedin Ezzedin, being “one of the top 5% most viewed LinkedIn profiles for 2012” is more misleading than informing.

Here’s why.

As an analyst…

As an analyst scrutinizing the data, the first question that came to my mind was, “I wonder how many of these profile viewers were…

  • …random profile stalkers?”
  • …job recruiters?”
  • …peers from the Analytics community (that is you if you are reading my post now)?”
  • …prospects who are considering hiring my firm; E-Nor?”
  • …existing clients?”
  • …blog readers?”
  • …Jasmines searching for Aladdin?” :)

target audience is worth more than profile viewers

The number LinkedIn provided doesn’t explain any of this!  In the analytics world, we call this metric “page views”, which we give an extremely low value in understanding user behavior and engagement. It doesn’t tell you “who” is viewing your page or “why” they are viewing it, which is the real actionable insight you need.

Segmentation is always essential. Each one of us has different social networking goals, objectives, and interests. Someone using social media for branding has a different target audience than someone who is searching for a job or someone who is using social media to advocate their ideologies or methodologies.

Need Help With Google Analytics? Click Here

As a marketer…

Now, as a marketer, my first reaction to the email campaign was, “Wow, no one is viewing profiles on LinkedIn!” If my profile, which is getting an average of X views per month, made it to the top 5%, then how many views are the bottom 95% profiles getting? Also, if most LinkedIn users are not socially active, then what is real value of LinkedIn as a marketing tool? What does 200 Million users mean to me? How will the new numbers impact my social marketing strategy? Shall I continue to invest on my paid campaigns in LinkedIn? Are my potential prospects on LinkedIn? Are they active? How can I increase engagement with my personal or corporate profiles? What metrics should I track in LinkedIn?

If there is one thing we learn from the latest LinkedIn email campaign is not to run after bold numbers and to have a clear objective for every marketing channel we invest in. Don’t be fooled by the marketing numbers because most of the time they are tweaked/formatted to serve marketing interests, not yours.

Conclusion

1) Disclaimer: I love LinkedIn, as it is by far my number one social network of choice when it comes to connecting to my professional circles (ex-classmates, ex-workers, the analytics community, volunteering community, partners, clients, vendors, etc.).  My critique here is solely limited to their latest marketing email blast.

2) For my friends who didn’t make it to the top 1%, 5%, or 10% profiles, I would say don’t sweat it. Your profile’s success is about how far you are from reaching 100% of your target audiences, not just any audience! :)

3) Let’s all hope that next year, the annual update from LinkedIn looks something like this…

linkedin 2013 suggested email campaign

Feb 04
2013

When Google Analytics makes changes to their platform, it’s usually a good thing, and helps users navigate through the dashboard easier, offers a more powerful data experience and overall is seen as beneficial to the user.

Google Analytics did just that this time around, as they rolled out some improved features earlier this month. We at E-Nor dove right into the changes and have been loving them.

There was a blog post on the Google Analytics blog as well as a great one by onlinemarketinginstitute.com, but a lot of our clients are still unaware of the spiffy new changes, so we wanted to pass the information along!

Check it out:

Improved Navigation

The first change you notice when logged into Google Analytics is there are less tabs at the top of the screen. Just the simple Reporting, Customization, Admin and Help tabs are now available here. This area had been freshened up a bit, and some of the reports here have been moved to the left sidebar. We’ve noticed this definitely makes more sense, and offers up a more unified placement for the tools. Plus, the top orange navigation bar floats as the user scrolls down the page. Pretty cool! ;)

Create Your Own Custom Dashboard

We all have our own preferences, right? So too is the case when working with Google Analytics, and the gurus at Google have figured that out! The platform now offers new enhanced personalized dashboards. Users can choose from a variety of layouts, giving them a handful of options available. This feature expands the way the dashboard is laid out, and how users can see their data.

google analytics layout options

Dashboard Additions

1. Advanced Segments
Anyone who works regularly in Google Analytic is aware of the Advanced Segments feature. Well, thanks to this most recent round of changes, this tool has been added to the dashboard. (Yay!) Users can find this button in the upper left section of the dashboard near the Audience Overview header.

google analytics advanced segments

2. New Widgets
The Geo Maps and Bars widgets are both new additions to the Google Analytics dashboards. You will also find the Geo Maps have been added for custom reports. These are available on the improved dashboard, and provide yet another set of data gathering tools that help users. The Geo Maps widget allows users to color code data by country, state and so on. The Bars widget give more advanced graphic data abilities.

Examples of Widgets

google analytics geo map
google analytics bar chart

new widgets google analytics

So if you haven’t already noticed the improvements to the Google Analytics interface, now is a good time to jump in and check them out.

We at E-Nor have found these new and/or revised features and tools highly beneficial, and love the fact that they allow us to continue to provide top-notch analytic services to our clients. We hope you enjoy the changes too!

Feb 01
2013

49er-mobileSuperbowl Sunday! GO NINERS!!!! Is mobile phone traffic on your site going to be the same during the game? During commercials? During halftime? In this post, we’ll show you how to figure that out!

Mobile is taking over! The ability to access the Internet from everywhere is so convenient – when you’re at the supermarket, gas station, even when you’re driving (don’t do that). Sometimes, I’m too lazy even open my laptop at home, it’s simpler to just pull out my mobile phone in front of my TV and connect.

And mobile use is only growing:

  • In 2013, more people use mobile than PC’s (Gartner 2011)
  • 50% of U.S. cell phone users have smartphones
  • 47% of consumers look up local information (for example, stores they want to visit)
  • 46% look up prices on a store’s mobile site
  • Etc.

(Statistics from rapidmarketplace.com)

Marketers who don’t start accounting for this trend will surely be left behind. The design and structure of your site, how your visitors use it, how visitors buy, etc. – is completely different on mobile devices vs. desktop – even vs. tablets. A mobile visitor is on the go, the screen is significantly smaller than a PC and tablet, it’s touch screen, etc. As a marketer, you need to be able to do dive deep and figure out exactly what’s going on to get insights unique to each.

Ideally, the following insights is what you want to see. You can see in this case that mobile phone and tablet behavior is different – tablet visitors are much more engaged, spend more time on the site, and view an average of one more page than phones:

Mobile Traffic Only Report - Google Analytics

“Mobile” (including Tablet)

It’s tricky. Google Analytics lumps tablets into the “mobile category”. But what if your design is responsive, and you have a different design for your mobile phone site vs. your tablet site? What if that’s impacting your traffic differently? You’ll need to separate the data.

Advanced Segment: Mobile Phones Only

Google already has a default segment to analyze ONLY “Tablet” traffic. But where’s the “Mobile Phone only” default segment? We love Google, but hint hint, cmon guys…

Have no fear – our resident analyst genius, @charlesfarina created a simple advanced segment to do this. Here’s how:

Step 1. Create a New Custom Advanced Segment
At the dashboard, choose Advanced Segment and click on “New Custom Segment”
Create advanced segment in google analytics

Step 2. Name Your Custom Segment
Name it something useful like “Phones”

Step 3. Include Mobile Traffic
Get all of mobile traffic, including Tablets and Mobile by selecting “Include” > “Mobile (including Tablet)” > containing “Yes”.

Step 4. Get rid of Tablet traffic
In order to separate mobile phones from tablets – you want [Mobile (which is mobile + tablets)] – [Tablet]
Add an “and” statement and “Exclude” > “Tablet” > containing “Yes”. This will get rid of tablet traffic.

Your advanced segment should look like this:
Mobile Phones Only Advanced Segment - Google Analytics

You are ready to slice and dice only mobile phone traffic!
Just in case, here’s a quick link for the segment http://goo.gl/TTCEM (so you can just save it to your profile automatically).

Jan 25
2013
Google Analytics is a powerful tool.

There are so many screens, features, tools, filters, searches, etc. For the heavy data cruncher, it’s always nice to have a set of shortcuts for quick execution of common tasks. In case you couldn’t find it on the Google Analytics Blog, we laid them out for you.

Here are a list of keyboard shortcuts in Google Analytics:

Google Analytics Keyboard Shortcuts

Date Range Shortcuts

d t Set date range to TODAY
d y Set date range to YESTERDAY
d w Set date range to LAST WEEK
d m Set date range to LAST MONTH
d c Toggle date comparison mode (to the previous period of whatever you are looking at.
Example, if you’re looking at 6 days, this will compare it to the 6 days before it)
d x Toggle date comparison mode (to the previous year of the period you are looking at)

Application Shortcuts

? Open keyboard shortcut help
h Search help center
a open account panel
shift + a Go to account list
s / Search reports
shift + d Go to the default dashboard of the current profile

Need Help With Google Analytics? Click Here
Some of them not working? If you’re a genius like me, it’s probably because you pressed one of the keys on accident and it took you to the search box. Make sure you are out of the search box when you try these.

Jan 21
2013

Do You See What I See?
As an analytics consultant, it’s important – strike that – mission critical, to make sure you understand how your customer uses data. Sometimes we have a tendency to assume our clients look at and interpret data the same way we do. Nothing could be further from the truth. All customers look at data differently, and uncover insights that we might consider surprising or unexpected. We owe it to our customers to ask the right questions and best understand not only what’s being measured and reported on, but how that data is being consumed and interpreted.

reCAPTCHA = evil
recapcha failA recent experience highlighted the importance of understanding how a customer looks at data.

I received a request from a customer asking me to QA some Google Analytics tracking code that had been deployed to a page. In order to test this scenario, I needed to go to the page, fill out a form and submit. If all went well in my testing, I would see a hit sent to Google Analytics via my HTTP header monitoring tool.

Seems straightforward and easy enough right? Sure… except that I wasn’t able to submit the form. Huh??? Yeah you read that right – I wasn’t able to complete and submit the form. Not once, not twice, but 30 times I tried and failed! What in the darkest depths of Middle Earth (Yes, I loved The Hobbit, and watched it recently, as you might guess), would cause this issue, you ask? The culprit was that most dreaded of all online phenomena – the reCAPTCHA!

First, let me state my complete and utter disdain for reCAPTCHA. I hate it, and consider it amongst the darkest of evils on this planet. Why do I hate reCAPTCHA so much? That’s easy :) I certainly understand the benefits gained by reCAPTCHA. It blocks spam form submissions and only allows legitimate human submissions. Yadda yadda yadda :) I’ve heard it all. Still hate it! Some of those alphanumeric combinations are so out of this world that no human could ever read them.

recapcha fail reCAPTCHA is a marketer’s worst nightmare. Web forms are sort of like Cookie Monster “More cookies…more cookies!”. All they want is for users to fill them out. Cookie Monster is cute, and simply wants more cookies. Sure, he leaves a mess of crumbs behind, but I’ve never heard him complain about the quality of the cookies he consumes.

recapcha fail reCAPTCHA takes an innocent, unassuming, cute and cuddly puppet like Cookie Monster and turns him into…the Soup Nazi! For those of you who didn’t catch the reference, or were deprived of the wonders of Seinfeld, check out this link to learn more. The Soup Nazi makes you stand in line (quietly), and only gives you a very measured amount of soup. Don’t you dare look at him the wrong way, or “No Soup for you” will echo in your ear drums. The mere presence of the Soup Nazi strikes fear into the hearts of the most brave of people, and renders them the likeness of jello – jittery and paranoid. reCAPTCHA has the same impact on web forms by making conversion significantly more complicated, and frustrating the user beyond compare.

reCAPTCHA sits at the forefront of the classic battle between IT and Marketing. Both sides have valid arguments as to it’s usefulness, and as much as I dislike it, reCAPTCHA obviously does filter out spam. At what cost though? Are legitimate customers jumping ship out of sheer frustration? Let’s see what the data has to say…

Data’s Turn to Talk
When I was unable to complete the form, I started thinking how this must be affecting other users. Surely, this must be giving other users the same headache it gave me. Luckily we were tracking all sorts of details about the form, so the answer was in the data. Time to dive in :)

In this type of analysis, it would be good to look at:

  • Percentage of users running into reCAPTCHA errors
  • How many users are receiving multiple reCAPTCHA errors?

Here’s what I found: (all data referenced below is for a period of one month)

# of times the form was viewed: 2,174,325
# of times the form was submitted: 241,803
Unique # of times a recaptcha error occurred: 184,318
# of times multiple recaptcha’s were encountered: 270,969

What stands out from looking at the data above?
1. There were more reCAPTCHA errors (270,969) than submissions (241,803)!!! That means the problem is very widespread, and means that a majority of people are running into this problem. In fact many are hitting multiple reCAPTCHA errors.
2. 76% of form submissions resulted in reCAPTCHA errors!!! This was nothing short of shocking for me. 76%??? That’s insanely high! I happily wrote an email to my customer, full of excitement at what I’d found. I received a prompt reply thanking me for the analysis. The marketing team was also flabbergasted by these results and understandably wanted the reCAPTCHA removed.

Wait…A Different Perspective?
A few days later I received a call from an IT manager in the same organization. First he asked to verify how I had come up with this data. Upon confirming its validity, he also thanked me and said this data was immensely useful for them. He then went on to point out that their reCAPTCHA error rates are inline with industry standards and he wanted to make this a monthly report that he could trend with the intent of making sure the rate isn’t going down. Not going down??? What? You see he was in IT, and his focus was to make sure the reCAPTCHA was doing what it’s designed to do. The harder it is to read those ridiculous patterns, the more effectively it must be working. I thought they would be motivated to remove the reCAPTCHA, and instead they want to make it harder!!!

Always understand how your client will use data. It’s of critical importance and helps you provide meaningful insight, and ensure that data is actually being used to impact the business.

Thoughts, comments? I’d love to hear your perspective!

Dec 28
2012

Update 1/23/2012 – As the commenters have pointed out you will need to delete the analytics.dat file from the program download in order to authenticate successfully.  Will update blog post/files soon.

Update 1/24/2012 – Link to github - https://github.com/CharlesFarina/Google-Analytics-Cost-Data-Upload–Python-

free-download-upload-cost-click-data-button

As the year closes, I wanted to make you aware of a feature in Google Analytics that has amazing potential.  This will tie in with all of your New Year resolutions around making better marketing decisions.   In October at the Google Analytics Certified Partner Summit we attended, Google announced the new cost data upload feature.  For the first time we can measure the return on investment for all of our paid advertising campaigns.  You can segment and dive into this data to find what aspects of each paid traffic source or the overall campaign are under or over performing and optimize accordingly.  This feature allows you to upload non-AdWords cost data for Bing, Facebook, LinkedIn and any of your other paid traffic sources.  What we are trying to create is the report below:

You can now make decisions on your marketing campaigns based on ROI inside of Google Analytics!  It is very apparent in the above report that we need to reevaluate or do optimization for the cnn.com campaign, since we are making less than what we are spending with an ROI of -1.43%.  This is the type of insight I want to help you find.

Use This Program or an API?

The first thing you should do is check to see whether the traffic source you want to upload cost data from has an API. Many popular services like  Facebook and Bing have an API that you can leverage to save you a significant amount of time and effort.  E-Nor has leveraged this with many of our clients like OEMPCWorld.  If your source has an API, you can use a tool like ShufflePoint In2GA and work with them to establish the connection.  This connection will upload all of your historical cost data as well as upload your new cost data each day.  This means you don’t have to do anything on your end outside of creating/paying for an account with ShufflePoint.

It is very likely that you will also have sources that don’t have an API.  This could be affiliate networks, banner ads, e-mail lists, and the like.  You could also decide you don’t want to pay someone to establish an API connection, so the following instructions could apply to Facebook and Bing as well.  The instructions below will allow you to upload cost data from any .csv files on a Mac to Google Analytics.  These files can be created in Microsoft Excel, Google Docs, iWork, or any of your favorite spreadsheet tools.  I tried to make these as detailed and easy to understand as I could, so that anyone could use it.  The best part about this tool is that it is free and will be a great way to end the year or kick off the new year with new insights.

Disclaimer:  These instructions are for Mac only.  If you are familiar with programming languages, getting it to work on Windows shouldn’t be difficult.  I can also not be responsible if anything breaks or your computer explodes, this is a free tool after all =)

Here are the six steps:

1. Create Project and Obtain OAuth 2.0 Client ID

a. Go to Google API’s page and click the blue “Create project…” button

 b.  Slide “Analytics API” to On

c. Agree to the terms of service
d. Click on “API Access” in the left navigation

 

e. Click the blue “Create an OAuth 2.0 client ID…” button

f. Fill in “Product name” field with “Cost Data Upload Program”.  Leave rest of form blank and click grey “Next” button.

g. For Application Type select “Installed application” radio button.  Leave installed application type defaulted to “Other.”  Click grey “Create client ID” button.

  h. Find and click the “Download JSON” link in the Client ID for installed applications section on the right side of page

2. Download and Install Cost Data Program

a. Place the downloaded “clients_secrets.json” file from step 1h on your desktop.
b. Download the “e-nor cost data upload program” to your desktop.  Select file then download to download entire zip, instead of each file individually.
free-download-upload-cost-click-data-button
c. Unzip the download and make sure it is on your desktop.
d. Drag the “clients_secrets.json” file (step 1h and 2a) from your desktop into the unzipped “e-nor_costdataupload” folder (step 10-11) on your desktop.  Select “Replace” when prompted.
e. Login to Google Analytics and go to the profile you want to upload data to


f. Click “Admin” Button in top-righthand corner
g. Record the provided Property ID: UA-XXXXX-XX
h. Click “Custom Definitions” Tab
i. Click “New Custom Data Sources (Beta)” Button
j. Enter a name, description and select profiles to send data to and click “create”

k. Record the UID

  

l. Open the “e-nor_costdataupload” folder and open the “upload_csv_file.py” file

m. Scroll to the bottom and replace the accountId, webPropertyId and CustomDataSourceID with what you recorded in steps 2g and 2k.  The accountId is the same as the webPropertyId, just with the beginning and end removed.  If you recorded UA-123456-1 in steps 2g.  You will put UA-123456-1 as the webPropertyId and 123456 as the accountId.

n. Save and close the files

3. Installing Google Analytics API files through Easy Install

a. Download the Easy Install files here and place file on desktop
b. Click spotlight in top right hand corner of your Mac and type in “Terminal” and open it.

c. In Terminal type or paste: cd Desktop

d. Type or paste: sudo sh setuptools-0.6c11-py2.7.egg

e. Enter your password and you should see the below message if successful

f. In terminal type or paste: sudo easy_install –upgrade google-api-python-client

g. If successful you will see this message

4. Creating Cost Data Files

There are 17 different dimensions and metrics you can upload, but only 5 are required: cost, impressions, clicks, source and medium.  In the e-nor_costdataupload/October-Cost-Data folder you can find examples of the fields and formatting that is required or view the image below.

You will need to create a file per day for your cost data.  If you want to upload the month of November you will have one file per day of data.  You can create this using your favorite spreadsheet software (Excel, iWork, Google Docs, etc).  The only requirement is they have to be saved as “Comma Separated Values” which are the .csv file extension.  There are templates/examples in the cost data program provided.

5. Uploading Cost Data

You will now be uploading a cost data file.  You need to first create and save the file as explained in step 4.  We will now upload one day of data using the following command: ./upload_csv_file.py {yyyy-mm-dd} ~{cost-file-location}

If we are trying to upload the example files included with the program we would enter the following in terminal:

a. Open Terminal and type or paste: cd Desktop/e-nor_costdataupload
b. ./upload_csv_file.py 2012-11-01 ~/Desktop/e-nor_costdataupload/October-Cost-Data/2012-11-01.csv

6. Viewing Cost Data in Google Analytics

This is the hardest part of all!  You will need to be patient and wait for up to 12 hours to see the cost data appear in Google Analytics.  In my experience on average it took about 30 minutes.  You will find it in the Traffic Sources Section as “Cost Analysis”.  You can also create custom reports to add in metrics such as revenue, transaction and to apply various advanced segments or filters.

Need Help With Google Analytics? Click Here

Closing Thoughts

I love this new feature, but as you can tell if you aren’t leveraging an API tool it can be quite a bit of work to get the data into Google Analytics.  Two improvements I have planned are first to have a way to batch upload buckets of files at one time and also for a script in Excel to create multiple files from a master spreadsheet based on date.  Ideally, I would like to be able to create one spreadsheet with all of the dates/data I need and have the program parse and upload it from memory.  The source code for the program is given to you, so I encourage one of you to do it and let me test it =)

Related Posts:

  1. Google Cost Data Announcement
  2. Cost Data Development Goodies
  3. E-Nor / OEMPCWorld Use Case
  4. E-Nor Cost Data Announcement 

 

Nov 21
2012

Turkey Google Analytics
We have been hard at work over the past few months doing what we can to share analytics tips, best practices and the latest from the trenches relevant to the measurement industry and those on their road to becoming analysis ninjas :) . We have had the pleasure of connecting with some influential media outlets and thought it would be beneficial to share some of our recent published pieces with our blog followers. Feel free to click through these links to review the entire piece.

Take a Moment to Get Feras’s M.O.

E-Nor’s Co-Founder and Principal Consultant, Feras Alhlou was recently featured on MO.com, a website highlighting entrepreneurs from all industries and all around the world. This online publication examines what makes entrepreneurs tick and shares with readers their habits, strategies and business philosophies. Feras’s feature begins with a quote that encapsulates his drive to make E-Nor successful, “Delivering and measuring results, then sharing those results with our clients, along with demonstrating the positive impact on their bottom line was (and still is) very satisfying to me.”

Web Marketing Today

A lot of what E-Nor does day-in and day-out is focused on web marketing today. So what better place to provide editorial content then a publication titled just that! Web Marketing Today provides articles, video and webinars on current industry-related topics such as Advertising, Analytics & Testing, Lead Generation and more. E-Nor contributes material relevant to our analytics consulting services that Web Marketing Today’s readers are interested in learning more about. Check out Analytics in an Hour, our four-part series on Understanding Google Analytics, Google Analytics Real Time: Instant Analysis and our most recent article, Using Google’s In-Page Analytics.

E-Nor on the Google Analytics Blog! Campaignalyzer and Cost Data Import!

CampaignAlyzer- Our first feature on the Google Analytics blog was for our tool, CampaignAlyzer, which was the proud winner of the Social Media Favorite Award at the latest GAUGE conference held in Boston.

The competition was fierce, but CampaignAlyzer, a web-based solution that acts as a central repository platform where organizations can store their marketing campaign values in one database, caught the love of the audience and social world! The application streamlines campaign tagging into a process that is efficient, timely, accurate, adaptive, value-added and business critical.

Cost Data Import- Ever wanted to measure return on investment from multiple digital channels? Import data from multiple channels and review them in a custom report for cost analysis of traffic sources. See how all your digital marketing channels are performing compared to each other, so you can make better decisions about your marketing programs. E-Nor was featured on the Google Analytics Blog as a partner who implemented the cost data import successfully for a client (OEMPCWorld).

Timely Analytics for the Holiday

The PR team at E-Nor always tries to keep content timely and current, which is why we released an article just this week on Data Analytics for a Profitable Holiday Season through Independent Retailer’s online publication. This article provides valuable information to retail store owners and marketing managers on what and how to measure digital data just in time for Black Friday and Cyber Monday. We shared tips, suggestions and resources to ensure you have a profitable holiday season.

Talk About Analytics

Feras spoke on a number of different occasions this fall, one of which was at the Conversion Conference last month in Fort Lauderdale, Florida. As a speaker at the event, Feras touched on the topic of Big Data’s Perfect Storm: Actionable Customer Insights from the Cloud. Here, conference attendees learned about the “magic powers” of Big Data and data integration to provide the 360 view of customers and stitching data from multiple sources (campaign costs, CRM, web analytics data) to produce insights on reducing lead acquisition costs and overall cost per qualified lead.

E-Nor was featured on PUNCH Media & Marketing Made Easy radio show 1220 a.m. KDOW, The Wall Street Business Network, where Feras spoke on the topic of Web Analytics & Marketing Optimization. Listeners gained knowledge on measuring online marketing activities with email marketing campaigns, website offers and social media measurement. (Archived episodes aired October 6, 2012.)

A brief talk on Quantitative and Qualitative Insights was also posted on Webmaster Radio earlier this month. Feras spoke on how to uncover and diagnose conversion problems.

We have several other editorial pieces in the works, so watch for E-Nor popping up the media or at an upcoming industry event!

Leave us a comment if you have any feedback or suggestions on future topics.

Happy Reading and Happy Thanksgiving!

Oct 30
2012

Disparate data sources are common and problematic when trying to integrate and analyze all relevant marketing and business metrics into an impactful executive dashboard that trends data over time and gives insight to the client. In order to help combat an issue such as this, and as just announced on the official Google Analytics blog, E-Nor recently participated in early beta with the Google Analytics team and our partners at ShufflePoint, which developed the feature In2GA on their existing platform.

google-analytics-custom-data-import

Fig 1: Client’s Adwords Data and Date have been blurred out.

E-Nor brought long-time client OEMPCWorld into this exciting development to help them overcome the stumbling blocks of varying data sources. OEMPCWorld Founder and President Michael Rosito shared:

“Using the ‘In2GA’ cost data import tool from Shufflepoint, enables E-Nor to analyze the performance of our paid search channel more efficiently.This translates into quicker insights comparing campaign metrics, ad effectiveness, and keyword performance at one glance instead of logging into multiple systems. Any application or feature that streamlines data collection for analysis, ultimately impacting the bottom line positively, is welcomed. Thanks for the continued innovations and look forward to more.”

In2GA is an extension to the ShufflePoint report automation platform which supports automated, scheduled transfer of ad performance metrics from ad platforms such as Bing Ads and Facebook into Google Analytics via the Cost Data Import feature. This awesome new capability was just announced at the Google Analytics Partner Summit yesterday. It will be rolled out over the next month.

Contact one of our Google Analytics Data Integration Specialists to learn more about leveraging this new feature!

Oct 29
2012

Universal Analytics - Google Analytics Parterns Summit

Today at the Google Analytics Summit, product sessions began with the announcement and introduction of Universal Analytics. These new capabilities will help users integrate their own data into Google Analytics, across multiple devices (including offline!) and allow for a complete 360 degree overview of their entire marketing through this single portal.

Today, marketers are relying on multiple channels to convey and monitor their marketing efforts. With the introduction of Universal Analytics, the task of measuring these efforts is made simple. Now, you have the ability to see the effectiveness of advertising campaigns, sales, retention, etc. in one program, thus giving you a more clear insight into customer experiences.

Universal Analytics is offered through the new Google Analytics Measurement Protocol. This new protocol allows you to send your own digital customer data directly to your Google Analytics account, and shows how users interact with your brand through various platforms like laptops, tablets, smartphones, etc. It also accepts the integration of mobile data from Google’s already developed Mobile App Analytics tool. Another benefit of Universal Analytics is the ability for cross-channel measurement that lets you sync your own data from various marketing channels, thus showing the relationship between the channels that drive conversions and sales. You too can customize the metrics you want leveraging this data integration and develop key reports from this data.

Beyond The Web (and Mobile and Social) Analytics Capabilities:

Universal Analytics

  • Much simplified code and usage of client-side cookies
  • Transition from session based measurement to true visitor measurement
  • Ability to upload your own user ID data (e.g. from CRM systems)
  • Custom Dimensions: ability to upload and associate external data with your GA data

Want more information and benefits of Universal Analytics? We have been beta testing some of these features, so let us know and will be happy to discuss how we can help you leverage these capabilities to impact your business.

And stay tuned to the E-Nor blog for more information about this and other Google Analytics announcements coming this week!