Thursday, 30 January 2014

Improving Remarketing with Google Analytics: A UI Refresh and List Importing

Last year, we released a new, more powerful version of segmentation, supporting more robust user-centric analysis (recap here).

Now you can achieve the full power of this enhanced segmentation in Remarketing with Google Analytics.

With this overhaul (which is rolling out over the next two weeks), you can more easily create Remarketing lists based on origin, demographics, and behavior to re-engage with your audiences like never before.

New interface under Admin > Remarketing Lists


One of our early users shared their experience so far:

“We have 8 target user segments that we engage with through Eloqua. Google Analytics provides us with a flexible environment to track the behavior of these segments across all incoming traffic channels. Now we can easily import these segments to make our remarketing spend much more effective.” --Oleg Rogynskyy, CEO, Semantria

Got lots of segments that you'd like to act on? No problem. You can now import from your existing segments in the Remarketing list builder. This includes all custom segments you’ve created, plus segments you import from the solutions gallery.


And after importing...


We're excited to release this improvement and make Remarketing with Google Analytics simpler and more powerful.  You can get started by importing the Remarketing Starter pack from the Google Analytics Solutions Gallery.

Stay tuned for more improvements in the coming weeks! 

Posted by Dan Stone, Product Manager, Google Analytics 

Monday, 27 January 2014

2014 Digital Analytics Association Awards For Excellence

It’s award season once again - Digital Analytics awards! 
The Digital Analytics Association exists to help organizations illuminate and overcome the challenges of data acquisition, exploration, deduction and application. The DAA is a not-for-profit, volunteer-powered association, and strives to help individuals become more valuable through education, community, research and advocacy. If you are involved in the analytics industry, we encourage you to check out what the DAA has to offer.

This week, the DAA announced its list of nominees for the DAA Awards of Excellence. These awards are a great way to celebrate the outstanding contribution to our profession of individuals, agencies, vendors and practitioners.

This year’s  list of nominees is chock-full of highly talented individuals, new technologies, agencies & vendors. We’re excited to see so many inspirational leaders nominated for recognition and are looking forward to the digital analytics industry growing for many years to come via their leadership.

We are also honored to see a few Googlers nominated for awards.

Krista Seiden has been nominated for Digital Analytics Rising Star and Practitioner of the Year. Our Analytics Evangelist, Justin Cutroni, our Analytics Advocate, Daniel Waisberg, and our former GACP Program Manager, Jesse Nichols, who travel the world sharing Analytics love have each been nominated as Most Influential Industry Contributor (individual). Jesse has also been nominated for Practitioner of the Year.

We’d also like to recognize the many members of our GACP network who also received nominations. We wish you all the best of luck!

If you’re a DAA member make sure you vote by January 31. Winners will be announced at the 2014 DAA Gala in San Francisco on March 18. Tickets are available now.

Posted by the Google Analytics Team

Wednesday, 22 January 2014

Learn About Analytics From Googlers At These Upcoming Events

We’re excited to be well into 2014, another year marketers and businesses will make continued investments in Analytics education for their teams. With that, conference season continues to ramp up.Things are likely moving fast for you as well, so we wanted to make sure you were updated on some of the key industry events our team members would be presenting at for the next few months. Following is a brief list. We hope to see you in-person at some of these (or on the digital discussions for our Webinars).
Googler Daniel Waisberg presenting on The Full Customer Journey in Dublin.

1/26: Search Marketing Expo Israel
Analytics Advocate Daniel Waisberg will be presenting a session on segmentation. Learn more.

1/29: Infopresse: Digital Performance in Montreal, Canada
Google’s Analytics Evangelist Justin Cutroni will be speaking on Universal Analytics. Learn more

2/6: IAB UK: Award Winning Attribution in London
Daniel Waisberg will be presenting on Attribution Modeling. Learn more.

2/11: SES London
Daniel Waisberg will be presenting on Segmenting your data to make better decisions. Learn more

2/14: Congresso E-Commerce Brasil De Search & Vendas 2014
Googler Eduardo Cereto will be presenting on using Analytics for E-commerce marketers and agencies. Learn more.

2/28: International Christian Media Convention in Nashville, TN
Analytics Advocate Adam Singer will share key metrics to measure for the mobile / apps ecosystem. Learn more

3/18: Travel Technology Initiative in London
Daniel Waisberg will be speaking on the importance of attribution for travel professionals. Learn more

3/18: Game Developer Conference in San Francisco
Googlers Russel Ketchum and Rahul Oak will be presenting a session for app developers on using data to improve their app. Learn more

3/21: Be-Wizard in Remiti, Italy
Justin Cutroni will be presenting on making data actionable with Remarketing. Learn more.

3/25: SMX Munich
Justin Cutroni will be speaking on people, process & platform: how to conceptualize your digital analytics practice. Learn more.

3/27: PRSA Big Data Webinar (Online)
Adam Singer will be presenting on how PR pros can use Google Tools to put data to work for their programs. Learn more

4/2: Social Media for PR and Corporate Communications Conference in Orlando
Adam Singer will be presenting on how to best measure and improve your social campaigns using data. Learn more.

4/7: SearchLove in Boston
Justin Cutroni will be presenting a session on best practices for cohorts and user measurement. Learn more.

4/7: Google Analytics Workshop in Washington DC
Adam Singer will be sharing a half-day workshop on using Analytics for communicators along with other trainers from PRNews. Learn more

4/16: Analytics & Optimization Summit (Online)
Googler Krista Seiden will be presenting on testing and optimization at this online digital advertising event. Learn more.

4/17: Building a Testing Culture panel at OptiCon
Krista Seiden will be presenting on a panel at Optimizely’s OptiCon conference on best practices and tips for building a testing culture. Learn more

And remember, even if you can’t make it to an event in person, you can follow Google Analytics on Twitter and Google+ where we share highlights from events.

Posted by the Google Analytics Team

Thursday, 16 January 2014

Google the Conglomerate: After Nest, No Industry is Safe

I’ve spent many hours trying to puzzle out Google’s product plans. What’s the logic behind Google Drive, how does Motorola fit in a software company, and on and on (link). But with the acquisition of Nest, I think I’m going to stop looking for a single product strategy. I believe Google’s mission statement to “organize the world’s information” is no longer a meaningful guide to its actions. To me, the company looks less and less like a unified product company and more and more like a post-modern conglomerate.

The idea behind the “Internet of Things” is that network connectivity is moving into almost everything. If that’s Google’s investment thesis, it could rationalize an investment in almost any industry. Appliances? Absolutely. Shipping and logistics? You bet. Phosphate mining? OK, maybe not that. But any category of products that have electronics in them is fair game, as are any services that rely on data management. That’s going to be most of the economy.

You’re left with no grand product plan, other than the strategy of any conglomerate: Move into hot categories where we can apply our skills and expertise.

If that’s the case, we’ll need to evaluate Google’s strengths and weaknesses differently. We should worry less about the overall grand plan, and more about the management structure of its businesses, the skills of its general managers, and the efficiency of the support staff behind them. In other words, will Google be more like GE or like HP?

Here’s the key question: Does Google know how to manage itself this way? Does it have the right culture, processes, and team strength to run a conglomerate? Does it understand its weaknesses, and have a plan to fix them? For example, maybe the acquisition of Nest is less about its products and more about getting a team that knows how to apply high technology to a low-tech device category (link).

No industry is safe. The answers are crucial to many people. Investors obviously need it to understand whether Google stock is a good buy. VCs need to understand what categories of companies Google might buy. Competitors need to anticipate what Google might do next. And more broadly, the leaders in most industries should ask whether Google is now a competitor to them.

How the Analysis Exchange is helping Non-Profits make data-driven decisions

The following is a guest post from Eric Peterson, Senior Partner at Google Analytics Certified Partner Web Analytics Demystified.

Summary: Web Analytics Demystified continues to advance the Analysis Exchange to help anyone, anywhere get “hand’s on” experience conducting analysis with Google Analytics in an effort to support non-profits worldwide. 

While thousands of non-profit organizations use Google Analytics on their websites, many have not yet been able to take full advantage of the data generated on their site’s performance. The Analysis Exchange, an education initiative developed by Web Analytics Demystified that provides free web data analysis to non-profits, offers organizations an opportunity to gain insights from web analytics to better meet their goals.

The Exchange pairs a non-profit organization with two web analysts --- one a student wanting the hands-on training and the other a mentor with years of direct experience in the analytics field. Together, they work on projects with objectives aimed at improving the non-profit’s website performance and overall use of their analytics data.

Since its introduction, over 400 non-profit organizations have used the Analysis Exchange for more than 1,000 projects using data from Google Analytics. Among these organizations have been those involved in public media, foundations, environmental concerns, youth-focused organizations, museums, schools, and many others.

Learn more about the Analysis Exchange in this brief video:


Paull Young, Director of Digital at charity: water, has achieved success with multiple Analysis Exchange projects for his organization. He says, “I see analytics becoming central to how non-profits do business – though I don’t see that being the case right now. charity: water is one of the most digitally focused non-profits you’ll find, but we’re at the front of a trend towards online donations that is only going to increase.

Every non-profit aims to become more and more efficient, delivering maximum impact for the minimum amount of cost. Smart application of analytics will be a must to achieve this objective.”

Other organizations have gained value from Analysis Exchange projects by not only exposing ‘what happened’ on their site and what were the successes but more importantly identifying factors that led to successes on the site and how to make improvements. An example of some takeaways have been:
  • What content visitors consumed and where they came from
  • What social channels drove the most activity to the site as well as off the site
  • Factors that lead to significant increases in visits
  • Competitive benchmarks of success
  • What factors led to declines in traffic and how to correct
Analysis Exchange projects are completely free and take less than a few hours for non-profits and mentors. Google Analytics is the standard analytics tool used for all projects.  Its ease-of-use dramatically improves the non-profits ability to continue to use web analytics after projects are completed.

We’re looking for more non-profits as well as student-mentor partners to sign up to the The Analysis Exchange. You can learn more about our effort at www.analysis-exchange.com or write our Executive Director Wendy Greco directly at wendy.greco@analysis-exchange.com.

Explore the history of Pop -- and Punk, Jazz, and Folk -- with the Music Timeline



With newspapers, blogs, and websites wrapping up their Top Ten album lists for 2013, we thought we'd take a look at some favorite music a bit further in the past as well.

Today, we’re releasing a visualization to show which music has stood the test of time, and how genres and artists have risen and fallen in popularity. The Music Timeline uses aggregated data from Google Play Music to show the changes in music genres over the decades.


This visualization shows which albums from past eras are still in our music libraries today.

Dig deeper into the chart to highlight key artists in each genre and read their stories, and navigate to Google Play to hear their music. For example, by clicking on the Metal stripe, we can see the handoff from Classic Metal to Hair Metal to Alt Metal within the growth of the overall genre, as well as some of the most popular artists that composed each subgenre.


The overall shape of each major genre shows when it hit the scene and when it retreated -- for example, R&B has a long history of resurgences, but Electronica is a strictly recent phenomenon.


Delve into changes in the vocabulary used to name artists and their work -- funk may be over as a genre, but as a band or album name it seems to be timeless.


Or search for a particular artist to see the trajectory of their career -- contrast U2’s long-running reinvention and re-emergence from the ‘80s up to today, versus a one hit wonder like Los del Río’s 1995 Macarena.


For more explorations of how information visualization can make complex data accessible, useful, and even fun, check out the Big Picture project page at research.google.com/bigpicture. We expect this is the first of many collaborations with the Music Recommendations and Discovery team.

Wednesday, 15 January 2014

Piloting after school clubs to ignite interest in Computer Science



In July, Google launched a new pilot program, CS First, located in our South Carolina data center, to ignite interest in computer science (CS) for K-12 students, especially underrepresented minorities and girls.

Working collaboratively with South Carolina Lowcountry school systems and teachers, we are creating an after-school program to achieve the following goals for students:
  • Have a positive attitude toward CS, have no fear of computers, and have the confidence and curiosity to jump into a new computing experience
  • Understand that coding is used in a diverse set of jobs/hobbies
  • Are willing to persevere and have a debugging mindset
  • Collaborate - coding is social!
  • Learn and use basic coding concepts such as object creation, conditionals, variables, loops, and input/output
With these goals in mind, we began pilot programs in Berkeley, Charleston, and Dorchester counties, exposing students, with a focus on underrepresented minorities and girls, to the most promising existing content and tools. We then observed the clubs, collected survey data and iterated to improve the content and tools that worked best.

To date, CS First has run 31 after-school programs for 4th-12th grades, reaching more than 450 students. Of those students, 53% were girls, and 66% qualify for free or reduced lunch. Each after-school program lasted four weeks and consisted of eight 60-90 minute lessons using a variety of tools such as App Inventor, Scratch, Blockly, Python in Codacademy, Scheme in Bootstrap, as well as various physical gadgets like Finch Robots, Little Bits, Sphero and Raspberry Pi.

The Google Computer Science Teaching Fellows led the CS First after-school clubs and studied student engagement and preferences. The following major findings are helping to shape our programs as we iterate:
  • Students were most engaged when they had a creative outlet or where there was a big "wow-factor". They were less engaged with tools that were strongly scaffolded for learning and did not result in a creative result. In this initial set of pilots, students were most engaged with Scratch and App Inventor.
  • Club culture is as important as the tool choice for engagement levels and therefore we continue to intentionally create a social club environment.
  • Scaffolding and forward momentum are especially important in creative design-oriented tools. Students sometimes became distracted by the design aspects of Scratch and would often not code unless club structure included accountability.
We are collecting qualitative observations about CS First, as well as surveying our students and teacher sponsors. Our November programs had the following survey results (sample size of 73 students):
  • "I can create things with computer science": Students agreed with this statement 25% more after the program.
  • "If I get stuck on a computer problem, I know how I might fix it": An increase of 22% after the program.
  • "Do you like programming?": The number of “yes” responses increased 29%.
  • "Do you think computer science is cool?" The number of “yes” responses increased 26%.
  • "I don't really understand computer science": Students agreed with this statement 34% less after the program.
In November, we began working with 4 non-teacher technologists to understand the challenges of scaling through volunteers. In our January programs, we will pilot with 10 community members leading the clubs in partnership with local school districts. The outcome will be a polished kit of tested materials which teachers and volunteers can use to lead an after-school CS First club with students. The kit is designed so that a teacher with little CS experience or a technologist with little teaching experience will be able to implement it with a group of 10-20 students. The ultimate goal of CS First is to provide proven teaching materials, screencasts, and curricula for after-school programs that will ignite the interest and confidence of underrepresented minorities and girls in CS and to scale these programs through a network of teacher sponsors, volunteers and national organizations.

Monday, 13 January 2014

Wearability is Not Enough

I want to believe.

The forecasts for wearable computing are remarkable. The headline in Wired declared, “Wearable Tech Will Be as Big as the Smartphone,” but the article went even further:

“We’re...seeing an explosion of these devices on the market.... A new device revolution is at hand...wearable devices are poised to push smartphones aside.” (link)

So wearables aren’t just a new market, they’re the replacement for the smartphone.

The article acknowledges that may seem like an outlandish prediction, but argues:

“It may seem laughable to suggest that people will soon neglect their iPhones in favor of amped-up watches, eyeglasses, rings, and bracelets. But then again, 10 years ago it seemed laughable to think that people would use their smartphones to email, surf the web, play games, watch videos, keep calendars, and take notes.”

Just for the record, ten years ago the PalmOne website told people they could use their Treo smartphones to do e-mail, surf the web, play games, watch live TV, keep calendars, and yes, take notes. It didn’t work as well then as it does now, of course, but people weren’t just thinking about doing those tasks on smartphones ten years ago, they were doing them.

It makes you wonder if Wired’s editors are all under age 25 or stricken with a tragic case of group amnesia. But I digress.

I’m a gadget guy. I love devices, and I especially love the emergence of a new computing platform, because it creates so much opportunity for developers and so much innovation for customers. So the idea of getting in on another new platform is incredibly enticing to me. If you work in technology, it should be exciting to you too.

But precisely because a wearable revolution would be so enticing, we should be super-careful that we don’t get swept away by optimistic groupthink. For every computing revolution I’ve lived through, I’ve seen several others that arrived decades late or fizzled out entirely.

So while my heart wants to drink the wearable Kool-Aid right now, my head says to step back, think about it, and ask if the foundations really exist yet for a new computing revolution.

So far, my head is winning. I do believe wearable computing has a bright future, and in some vertical markets it’s already taking off. But is it the successor to the smartphone? Not now, and maybe not ever. Here’s why.


Two fatal flaws

I think there are two big problems with wearable computing today. First, the term is a catch-all, not a category. Second, even if you get the definition right, I think we haven’t yet found the killer app.

What is wearable computing, really? The term is kind of self-referential: wearable computing is computing gear that you wear. It attaches to your body or clothing, like a pair of glasses or a watch or a brooch. But those are extremely different form factors. I’m a Google Glass user and I’ve followed smart watches ever since Fossil worked on its late, lamented Palm OS watch in the early 2000s. Watches and glasses are completely different beasts, with different usage patterns and very different strengths. Grouping watches and glasses together in a single category makes as much sense as grouping together missiles and cargo planes and calling them flyable devices. The label is factually correct but meaningless in terms of predicting how the market will develop.

So rather than talking about a wearable revolution, we should be asking if there’s a smart watch revolution or a smart glasses revolution coming. When you look at the world that way, it gets a bit less exciting, because you see the weaknesses in each category of product.

Will wearables eat the smartphone? The tech industry is always full of predictions that some new type of device is about to swallow another one. It’s called convergence, and I’ve been hearing about it ever since the late 1980s, when Apple strategist Ken Lim started talking about it.

But there are always many more convergence predictions than actual convergence events. In an example of successful convergence, home stereo systems used to consist of separate modules: disc player, amp, tuner, etc. They eventually converged to a single unit for many buyers.

On the other hand, for decades many computer manufacturers predicted the imminent merger of the printer and personal computer. Converged computer/printers were promoted heavily in Japan, and several prominent efforts were made to bring them to Europe and the US. They all failed. Today PCs and printers are still separate devices.

Why do tech products sometimes converge and sometimes not? The general pattern is that devices converge only when the merged product is a fully-functional substitute for the devices being replaced. So smartphones rapidly killed the PDA because they could do everything a PDA could. Printers and PCs never converged because making a combined PC and printer required some pretty heavy compromises on the quality of the printer. Instead, printers merged with scanners and fax machines, which did not require major compromises. The only place where converged PC-printers got serious traction was Japan, where desk space is sometimes at such a premium that people were willing to accept a lower-quality printer in exchange for a smaller footprint.

So, for smart glasses or smart watches to replace smartphones, they have to be able to take over all of the functions of smartphones, without a major loss in functionality. Can they do that? Absolutely not.  The screen is too small on a watch to browse, and smart glasses lack the touch controls that would let you control a browser or sophisticated app.

Even more importantly, neither device has the battery power needed to function as your full-time phone. In fact, today most of them rely on the smartphone to give you wide-area connectivity when you’re on the go. In other words, they are smartphone accessories, not replacements.

I can imagine a future wearable product that could do a lot more. You could browse the web or run a complex app if the glasses or watch had a full gesture-driven interface (something like Leap Motion, not the awkward stem-swiping interface of Glass). And eventually batteries will become powerful enough that a small one fitting in a watch or glasses could power a cellular radio for a full day. But that will require at least several years of development, plus a significant breakthrough in battery chemistry that can’t be forecasted. We’ve been waiting for it in smartphones for more than a decade; don’t hold your breath. By the time it happens, we’ll have bendable screens, and we’ll be able to create smartphones that collapse down to the size of a roll of LifeSavers candy.

So the real competition to a smartphone-replacing watch or pair of glasses is probably a smartphone so small that you can wear it on a cord around your neck or wrist. Everything eventually gets small enough that it’s wearable, and yeah I guess you can call that a wearable computing revolution. But it won’t happen this year, it won’t happen next, and we may all be quite a bit older and grayer before it becomes practical.

Where’s the killer app? If glasses and watches can’t replace a smartphone in the foreseeable future, the other way they’ll get broad adoption is if they do something else that a smartphone can’t do at all, or cannot do as well. This is the way most major computing platforms get started: They enable something new and compelling, people buy them for that purpose, and the devices then branch out into other usages. Mainframes started as military calculators. PCs started as word processing and spreadsheet machines, BlackBerry started as an e-mail pager, and the iPhone started as a phone that could also browse well and play music.

What’s the compelling, broadly appealing usage that could drive adoption of a smart watch or glasses? So far I don’t think there is one.

I’ve been playing with Glass for weeks now, and have put a lot of apps on it. It’s a bold experiment, I applaud Google for trying it, and there are some things I really like about it. I had tried camera glasses before, but without a screen you couldn’t tell where the camera was pointed. People often move their eyes rather than their heads, so a camera focused straight ahead often doesn’t show what the user is looking at. Because there’s a screen in Glass (and a surprisingly bright, readable screen at that), you can see exactly what you’re photographing. The sound playback also works surprisingly well (sound recording sucks in a noisy environment).

But for me, the negatives outweigh the positives. Battery life is very short, and the user interface based on swiping the stem of the glasses is alarmingly nonintuitive and limited (it’s like trying to have a conversation where you can only say “yes” or “no”). The spoken commands work a bit better, but I’m not comfortable speaking to my glasses in public, and I doubt most other people will be either.

But the biggest problem is that none of the apps I’ve seen so far makes me want to wear Glass on a regular basis. The apps are vaguely interesting, and the geek in me enjoys playing with them. But I’m not getting the sort of big revelatory feeling I had when I first used PageMaker on the Mac, or when I first browsed the web on an iPhone.
   
We have seen some traction for wearable devices in vertical markets, especially sports and health. Smart watches and other wearable fobs are a great way to track your exercise, and sports goggles are a cool way to make videos of your ski runs. It’s very telling that these devices have sold well on their own, without any need for hype or even a heavy marketing budget. That’s what happens when you find the right app -- it takes off on its own.

Unfortunately, fitness is too narrow a vertical to carry a platform to the takeoff point. You may get nice sales for the company that made a device, but the installed base of devices won’t get big enough to attract a large group of third party developers who then create the apps that take the device horizontal.

The main horizontal usage for wearables that’s being advocated today is notifications. You can configure Glass to show incoming messages, and most of the smart watches can display things like caller ID for your smartphone. The idea is to let you consume (and send) small amounts of text and images without taking out your smartphone. To save a few seconds per notification, you have to pay for a separate device, learn to use it, and remember to recharge it every night.  Will the benefit exceed the cost and hassle for tens of millions of people?

It’s been tried before. Does anybody remember Spot, the smart watch platform Microsoft promoted in the mid-2000s? You could configure the watches to give you notifications, headlines, and messages, and they didn’t even require a smartphone because they received notifications from sideband FM broadcasts. Despite a hefty Microsoft investment and several licensees building devices, Spot went splat in the market.

That does not mean notification wearables are destined to fail forever. Many tech product categories fail repeatedly before they succeed. But Spot did prove, very decisively, that just adding notifications to a wearable device won’t drive demand. There’s some additional step of clever software, improved user interface, or integration with other products that’s needed to make the app a killer.

If it can become a killer at all.

So the reality is that today’s forecasts of a wearable explosion are based on faith, not analysis. If you believe a wearable killer app is coming, then it’s easy to convince yourself that many millions of these things will be sold. I want to believe that too. But I think I need to see the app first.

Tuesday, 7 January 2014

Richer Insights For B2B Marketing With Google Analytics

The following is a guest post from Google Analytics Certified Partner Feras Alhlou, Partner & Principal Consultant at E-Nor Inc.
Marketers and sales professionals want to know who’s visiting their site, what content the target audience is consuming and what converts site visitors to paying customers. 
In a B2B environment -- where long sales cycles and multiple stakeholders affect sales decision -- “knowing who’s coming to your site” takes on another dimension. 
Say you’re in charge of marketing an eLearning system, and your target market includes telecom, hi-tech/software companies and universities. Your sales cycle could span several months, and there are multiple personas/stakeholders who will evaluate your company and your product. 
Some key personas include:
  • Trainers, professors and teachers evaluating user experience and ease of uploading curricula and content 
  • Management/administrators evaluating your company, pricing, client testimonials, case studies, etc.
  • IT assessing technical aspects of products, maintainability, your technical support processes, etc. 
As a marketer, your job is to ensure your site addresses the needs of each stakeholder, while realizing that the interests/questions each group of stakeholders are likely to be different. It’s critical that the message and content (that you invested so much in creating) “sticks” with the unique personas in each market segment. 
Easier said than done; measuring and optimizing all the above isn’t for the faint of heart.
But don’t fret. Integrating Google Analytics with Account-Based Marketing and Firmographic data has come to the rescue. 
B2B Measurement Framework
Let’s walk through a typical scenario and highlight key performance indicators (KPIs). The measurement framework our eLearning marketing manager has in mind includes (and yes, they follow GA’s ABC!):
Acquisition
    1. What percent of my traffic comes from industries I target
      1. Telecom
      2. Hi-tech/software companies
      3. .edu’s
    2. Percentage increase or decrease in traffic from industries I’m not targeting 
    3. Traffic volume and frequency from organizations our sales team targets offline
Behavior
    1. Landing page stickiness by industry and organization
    2. What content is very popular
    3. What content is most shared
    4. All the above segmented by the three targeted industries
Conversion
    1. Number of whitepaper downloads by industry and company
    2. Number of demo requests
    3. Sales follow-up call requests 
    4. All the above segmented by the three targeted industries
If your site visitors aren’t providing you with company and industry data, it’s not possible to report on this data in Google Analytics. Hello Insightera, a marketing personalization platform, enables your to enrich customer’s onsite journey with firmographic data in a seamless integrated fashion (note, another product in the Google Analytics app gallery offering similar functionality is Demandbase).
Rich Firmographic Data in Google Analytics
Insightera’s firmographic data is organized by 1) deriving information from site visitors by identifying their ISP 2) determining that organization’s information, including location, industry (and soon company size and company revenue will also be available). 
With easy-to-navigate firmographic readily available, analytics data takes on a new dimension; advertising dollars can be better targeted, and you have the ability to customize a visitor’s experience in several new ways.
Here’s a few examples of the rich and super cool data you have access to with Insightera, nicely integrated in the Google Analytics Reports (in Custom Variables):
1- Traffic Distribution by Industry  
Within the GA interface you have a nice presentation your traffic by industry. Telecom seems to be strong (24.1% of traffic) in the report below, while Education could use some love from your marketing team. 

2- Engagement By Industry
You can also report on your KPIs by industry (e.g. see how “Education” is the number 2 industry in the report below)

3- Traffic & Engagement By Organization
This report below shows the platform’s ability to take data segmentation a step further, and highlights specific organizations within the industry visiting the website (e.g. Yale University)

With firmographic data integrated into Google Analytics, it is possible to optimize paid campaigns such as Google AdWords, LinkedIn, banner ads, etc., and pinpoint how many companies from a specified list visited your site, which industries and what size companies visited the site. It provides the opportunity to then target paid campaigns to those visitors and channels, or increase efforts to reach untapped segments of a targeted audience. 
Technical Considerations 
Not a whole lot of considerations. Insightera makes it easy to plug and play. In your ‘Admin’ interface, select your Custom Variables slots for the ‘Industry’ and ‘Organization’ -- and let the rich data flow. Double check that the selected custom variable slots are empty and that you’re not already using them for something else in your Google Analytics implementation. 

Content Personalization
Equipped with this new data, you can automate and personalize remarketing efforts and create targeted ads based on any given criteria. In the example above, the education-specific whitepaper can be presented to your higher-ed visitors, while hi-tech/software related content can be presented to your hi-tech/software visitors. 
Insightera’s recommendation engine filters visitors by location and industry, content preferences and CRM data and digital behavior patterns. This process then predicts which content or channel works best for each visitor.
Increase the Value of Universal Analytics with more User Centricity 
If you’re an early adopter of Universal Analytics or planning to migrate to Universal Analytics, Insightera will soon have you covered. The same method described above can be applied and firmographic data can be integrated into Custom Dimensions. 

With some additional customization, and if you are (and you should be) user-centric, you can take up your implementation a notch up and report on visitors, not just visits, across web, mobile and other devices. Examples include where you have premium/gated content behind registration, user logins or when users self-identify. In these examples, a user-id is associated with each authenticated visitor and stored in a Custom Dimension. Measuring user behavior across multiple sessions and across multiple devices will then be available and you’ll be able to stitch data from different data sources including Insightera as well CRM systems such integrating GA with SalesForce.

Conclusion
As advertising and remarketing efforts reach new levels of focus, site owners have the most relevant information to meet their needs thanks to account-based marketing. Combining the power of Google Analytics with the new scope of firmographic data allows a new level of Performance Analytics. This set of tools offers deeper analytic insights into who your potential customers are, what they do, where they come from and what they consume.
Posted by Feras Alhlou, Principal Consultant, E-Nor, a Google Analytics Authorized Premium Reseller