Tag Archives: Google Analytics

Introducing the Google Analytics 360 Suite


An enterprise-class solution for a multi-screen world

Our lives are filled with micro-moments: intent-rich moments when we turn to the nearest device to find a store, buy a product or look for answers to all kinds of wants and needs. In these moments, today's consumers decide what to do, where to go, and what to buy.

If you're in marketing or analytics, you know this consumer behavior brings new opportunities to reach your customer in the right moment with the right message. At the same time, it's harder than ever to get a complete view of the consumer journey and then make sense of it all.
That’s why we’re introducing the Google Analytics 360 Suite, a set of integrated data and marketing analytics products, designed specifically for the needs of enterprise-class marketers. It all starts with understanding consumer behavior in the moment — getting the right insights, and then making your brand useful to consumers.

“The Google Analytics 360 Suite gave us the really big ah-­ha moment. When we launched our mobile app, it provided insurance quotes. But after looking at the data, we saw people were attempting to buy insurance. So, we shifted our mobile strategy to offer ecommerce. Google gave us that insight,” said Pawan Divakarla, Analytics Leader at Progressive.

Modern measurement tools that are simple to use
Sophisticated marketers who use analytics platforms are three times more likely to outperform their peers in achieving revenue goals.1 It’s no wonder enterprise-class marketers have been telling us they need more from their marketing analytics tools. Many toolsets can't cope: They're too hard to use, lack sufficient collaboration capabilities, are poorly integrated, and require hard-to-find expertise.

Several years ago, Google engineers set out to simplify marketing analytics in the same way we simplified web search with Google.com. With infrastructure that allows us to handle billions and billions of daily search queries — generating answers before users even finish typing — we set out to give enterprise marketers the same utility.

As we built the system, enterprise marketers shared what they needed with us:

  • See the complete customer journey. Marketers require full visibility and context to see what’s really happening across all customer touchpoints, devices, and channels. 
  • Useful insights, not just more data. Marketers need enormous computing power, data science and smart algorithms, all working together to quickly make sense of data for them. In other words, built-in intelligence to do the heavy lifting for marketers and make insights easy to see.
  • Enable better sharing within your organization. Marketers seek to put insights into everyone’s hands and get the whole company on the same page — resulting in stronger cross-functional goals and smarter decision-making.
  • Deliver engaging experiences to the right people. Marketers want to make their brand immediately useful to consumers. With integrations across multiple Google technologies, the suite products not only work well together, but also with other products, including AdWords, DoubleClick, and 3rd-party platforms — enabling marketers to take immediate action and drive business impact.

The Google Analytics 360 Suite is built to address these needs. Its powerful set products are unified, providing a consistent user experience and cross product data integrations, plus services. Simply put: it’s a complete measurement platform.
“Using the integrations in the Google Analytics 360 Suite, we are able to manage everything in one seamless platform,” said Khoi Truong, Director of Analytics and Media at L'Oréal Canada.

Loaded with six products, four of which are brand-new, the Google Analytics 360 Suite offers easy-to-use tools that enable sharing of data and insights throughout an organization.

  • Google Audience Center 360 (beta). This powerful data management platform (DMP) helps marketers understand their customers and find more like them across channels, devices, and campaigns. It offers native integration with Google and DoubleClick, plus it's open to third party data providers, DSPs and more.
  • Google Optimize 360 (beta). This website testing and personalization product helps marketers deliver better experiences. Marketers can show consumers multiple variations of their site and then choose the version that works best for each audience.
  • Google Data Studio 360 (beta). A new data analysis and visualization product that integrates data across all suite products and other data sources ― turning it into beautiful, interactive reports and dashboards. Built-in real-time collaboration and sharing is based on Google Docs technology.
  • Google Tag Manager 360. Built from our industry-leading tag management product, it empowers enterprise marketers to move faster and make decisions with confidence. It offers a simplified way to gather site information (all those tiny bits of code) and powerful APIs to increase data accuracy and streamline workflows.
  • Google Analytics 360, formerly known as GA Premium, will roll out exciting new capabilities throughout the next couple of months as investments continue to grow. It will serve as the measurement centerpiece by analyzing customer data from all touch-points and integrating with our ad products to drive marketing effectiveness.
  • Google Attribution 360, formerly known as Adometry, has been rebuilt from the ground up to help advertisers value marketing investments and allocate budgets with confidence. Marketers can analyze performance across all channels, devices, and systems to achieve their most effective marketing mix. 
Achieve more with your Google media

The Google Analytics 360 Suite offers integrations with many third party data providers and platforms. It also plugs right into Google AdWords and DoubleClick Digital Marketing, our core ad technology. That means marketers can turn analytics into action by combining their own data from multiple sources ― website data, audience data, and customer data (e.g. CRM) and more ― and using it to make ads more relevant for people.

“The Google Analytics 360 Suite has a native integration with DoubleClick — that’s a game-changer. Now I can personalize my media based on website user behaviors, such as what they purchase,” said Khoi Truong, Director of Media and Data Optimization at L’Oreal Canada.

When will the Google Analytics 360 Suite launch?

The new products -- Audience Center 360, Optimize 360, Data Studio 360,  and Tag Manager 360 -- are available today in limited BETA. If you're a Google Analytics Premium or Adometry customer, you will see the products renamed in the coming months, and we'll let you know when you're eligible to join the new betas.

This is just the beginning of our ongoing  innovation in enterprise marketing analytics -- we can’t wait to share more. In the meantime, visit our website for more details or hear from directly from our customers below.
Over the coming weeks we’ll dive into the capabilities and benefits of all the new products on the newly refreshed and renamed Google Analytics Solutions blog, and on the Google Analytics Google+ and Twitter pages. We’d love your feedback.

Posted by Paul Muret, Vice President of Analytics, Display, and Video Products, Google
1 Source: Forrester Research, Inc. Discover How Marketing Analytics Increases Business Results

Source: Inside AdWords


Introducing the Google Analytics 360 Suite



An enterprise-class solution for a multi-screen world

Our lives are filled with micro-moments: intent-rich moments when we turn to the nearest device to find a store, buy a product or look for answers to all kinds of wants and needs. In these moments, today's consumers decide what to do, where to go, and what to buy. 

If you're in marketing or analytics, you know this consumer behavior brings new opportunities to reach your customer in the right moment with the right message. At the same time, it's harder than ever to get a complete view of the consumer journey and then make sense of it all.

That’s why we’re introducing the Google Analytics 360 Suite, a set of integrated data and marketing analytics products, designed specifically for the needs of enterprise-class marketers. It all starts with understanding consumer behavior in the moment — getting the right insights, and then making your brand useful to consumers.

“The Google Analytics 360 Suite gave us the really big ah-­ha moment. When we launched our mobile app, it provided insurance quotes. But after looking at the data, we saw people were attempting to buy insurance. So, we shifted our mobile strategy to offer ecommerce. Google gave us that insight,” said Pawan Divakarla, Analytics Leader at Progressive. 

Modern measurement tools that are simple to use
Sophisticated marketers who use analytics platforms are three times more likely to outperform their peers in achieving revenue goals. It’s no wonder enterprise-class marketers have been telling us they need more from their marketing analytics tools. Many toolsets can't cope: They're too hard to use, lack sufficient collaboration capabilities, are poorly integrated, and require hard-to-find expertise. 

Several years ago, Google engineers set out to simplify marketing analytics in the same way we simplified web search with Google.com. With infrastructure that allows us to handle billions and billions of daily search queries — generating answers before users even finish typing — we set out to give enterprise marketers the same utility.

As we built the system, enterprise marketers shared what they needed with us:
  • See the complete customer journey. Marketers require full visibility and context to see what’s really happening across all customer touchpoints, devices, and channels. 
  • Useful insights, not just more data. Marketers need enormous computing power, data science and smart algorithms, all working together to quickly make sense of data for them. In other words, built-in intelligence to do the heavy lifting for marketers and make insights easy to see.
  • Enable better sharing within your organization. Marketers seek to put insights into everyone’s hands and get the whole company on the same page — resulting in stronger cross-functional goals and smarter decision-making.
  • Deliver engaging experiences to the right people. Marketers want to make their brand immediately useful to consumers. With integrations across multiple Google technologies, the suite products not only work well together, but also with other products, including AdWords, DoubleClick, and 3rd-party platforms — enabling marketers to take immediate action and drive business impact.
The Google Analytics 360 Suite is built to address these needs. Its powerful set products are unified, providing a consistent user experience and cross product data integrations, plus services. Simply put: it’s a complete measurement platform.

Click image for full-size version

“Using the integrations in the Google Analytics 360 Suite, we are able to manage everything in one seamless platform,” said Khoi Truong, Director of Analytics and Media at L'Oréal Canada.

Loaded with six products, four of which are brand-new, the Google Analytics 360 Suite offers easy-to-use tools that enable sharing of data and insights throughout an organization. 
  • Google Audience Center 360 (beta). This powerful data management platform (DMP) helps marketers understand their customers and find more like them across channels, devices, and campaigns. It offers native integration with Google and DoubleClick, plus it's open to third party data providers, DSPs and more. 
  • Google Optimize 360 (beta). This website testing and personalization product helps marketers deliver better experiences. Marketers can show consumers multiple variations of their site and then choose the version that works best for each audience.
  • Google Data Studio 360 (beta). A new data analysis and visualization product that integrates data across all suite products and other data sources ― turning it into beautiful, interactive reports and dashboards. Built-in real-time collaboration and sharing is based on Google Docs technology.
  • Google Tag Manager 360. Built from our industry-leading tag management product, it empowers enterprise marketers to move faster and make decisions with confidence. It offers a simplified way to gather site information (all those tiny bits of code) and powerful APIs to increase data accuracy and streamline workflows.
  • Google Analytics 360, formerly known as GA Premium, will roll out exciting new capabilities throughout the next couple of months as investments continue to grow. It will serve as the measurement centerpiece by analyzing customer data from all touch-points and integrating with our ad products to drive marketing effectiveness.
  • Google Attribution 360, formerly known as Adometry, has been rebuilt from the ground up to help advertisers value marketing investments and allocate budgets with confidence. Marketers can analyze performance across all channels, devices, and systems to achieve their most effective marketing mix. 
Achieve more with your Google media

The Google Analytics 360 Suite offers integrations with many third party data providers and platforms. It also plugs right into Google AdWords and DoubleClick Digital Marketing, our core ad technology. That means marketers can turn analytics into action by combining their own data from multiple sources ― website data, audience data, and customer data (e.g. CRM) and more ― and using it to make ads more relevant for people.

“The Google Analytics 360 Suite has a native integration with DoubleClick — that’s a game-changer. Now I can personalize my media based on website user behaviors, such as what they purchase,” said Khoi Truong, Director of Media and Data Optimization at L’Oreal Canada.

When will the Google Analytics 360 Suite launch?

The new products -- Audience Center 360, Optimize 360, Data Studio 360,  and Tag Manager 360 -- are available today in limited BETA. If you're a Google Analytics Premium or Adometry customer, you will see the products renamed in the coming months, and we'll let you know when you're eligible to join the new betas. 

This is just the beginning of our ongoing  innovation in enterprise marketing analytics -- we can’t wait to share more. In the meantime, visit our website for more details or hear from directly from our customers below.



Over the coming weeks we’ll dive into the capabilities and benefits of all the new products on the newly refreshed and renamed Google Analytics Solutions blog, and on our Google+ and Twitter pages. We’d love your feedback. 

Posted by, Paul Muret, Vice President of Analytics, Display, and Video Products, Google 

1Source: Forrester Research, Inc. Discover How Marketing Analytics Increases Business Results

*Launching March 15, 2016

From Insights to Impact: Driving Value with Analytics

At eTail West this week we were thrilled to give a joint presentation with Chris Duncan, VP of Strategic Marketing for Kohl's, a $19B+ retailer making big strides in omni-channel analytics.  Casey Carey, Head of Marketing for Google Analytics, kicked off the presentation with highlights from our new report with Harvard Business Review.  Following Casey's introduction, Chris gave the audience a glimpse into the Kohl’s Greatness Agenda, launched in 2014 with the goal of becoming “the most engaging retailer in America.”

Kohl’s has seen the growing effect of micro-moments on their business in recent years and has used measurement and analytics to gain key insights:
  • They had more visits on digital devices last year than in all stores combined.
  • Most of their sales are driven by people who have engaged with more than one marketing channel.
  • Customers who engage online are spending more in-store.
Kohl’s has taken action, finding better ways to engage consumers across channels.  They combined direct mail with digital display to make their direct mail dollars go further, they blended email marketing with social media to increase app downloads by 180%, and they got hyper-local with digital display and paid search.  In other words, they used their insights to drive action.

The Google Analytics team is all about turning insights into action, which is why we commissioned a study with Harvard Business Review—we wanted to understand how great companies are using insights to drive customer value.  The findings are compelling:  some companies who capture the full customer journey with integrated data are generating up to 8.5x higher shareholder value.


We invite you to read the full report to learn how great companies like Kohl's are analyzing and acting to create value for their customers and for themselves.

Posted by:  Jocelyn Whittenburg, Product Marketing Manager

Mumzworld reaches 300% ROAS with Google Analytics

From rattles to diapers to playhouses, Mumzworld sells everything for babies and children to hundreds of thousands of online shoppers in the Middle East each year. The company advertises on many platforms and works hard to engage consumers with the best possible product catalog. 

For Mumzworld, the challenge was to spend those ad dollars wisely, with full insight into ROI and product availability. The company wanted to increase online sales and repeat buyers while keeping user acquisition cost low. They also wanted a platform to help them manage on-site inventory better and lower out-of-stock product views.

For help, Mumzworld turned to InfoTrust, a Google Analytics Certified Partner that specializes in ecommerce data integration. Together, Mumzworld and InfoTrust implemented Google Analytics Enhanced Ecommerce for deeper shopper insights, product inventory tracking and leveraged InfoTrust’s data integration tool, Analyze.ly, to import cost-related metrics from non-Google platforms into GA. 

Through remarketing and automated reports for out-of-stock products day-over-day, Mumzworld was able to see growth in total conversions, conversion rate and maintain a ROAS at 300% across top channels. Read the full case study.
Click image for full-sized version

“InfoTrust cleaned up our Google Analytics account and helped us better capture key data in dashboards, so we could dissect the information that helps us make our business better. It showed us key KPIs to watch for and created automated reports so we could measure and react to these KPIs.” —Mona Ataya, CEO and Founder, Mumzworld FZ-LLC

To learn how Mumzworld and InfoTrust worked together to achieve these results, download the full case study. 

Posted by Daniel Waisberg, Analytics Advocate

Introducing Autotrack for analytics.js


The web has changed a lot since the early days of Google Analytics. Back then, most websites actually consisted of individual pages, and moving from one page to the next involved clicking a link and making a full-page request. With sites like this, it's possible to track the majority of relevant user interactions with a single, one-size-fits-all JavaScript tracking snippet.

But the web of today is much more complex and varied than it used to be. In addition to traditional, static websites, we have full-featured web applications. User interactions aren't limited to clicking links and submitting forms, and a "pageview" doesn't always mean a full-page load.

The web has changed, but analytics implementations have stayed pretty much the same. Most Google Analytics users copy and paste the default tracking snippet and that's it. They know there's more they can do with Google Analytics, but taking the time to learn is often not a priority.

Autotrack for analytics.js is a new solution to this problem. It attempts to leverage as many Google Analytics features as possible while requiring minimal manual implementation. It gives developers a foundation for tracking data relevant to today's modern web.

Features


The autotrack library is built as a collection of analytics.js plugins, making it easy to use the entire library as-is or to pick and choose just the plugins you need. The next few sections describe some of the features autotrack enables.

Outbound link and form tracking

When a user clicks a link that points to another page on a site, that other page typically sends a pageview hit once the user arrives. Because there's a series of pageviews, Google Analytics can figure out on the back end where the user navigated to (and from). But if a user clicks a link or submits a form to an external domain, that action is not captured unless you specifically tell Google Analytics what happened.

Historically, outbound link and form tracking has been tricky to implement because most browsers stop executing JavaScript on the current page once a new page starts to load. Autotrack handles these complications for you, so you get outbound link and form tracking for free.

URL change tracking for single page applications

If you're building a single page application that dynamically loads content and updates the URL using the History API, the default tracking snippet will not suffice -- it only tracks the initial page load. Even if you're sending additional pageviews after successfully loading new content, there can still be complications.

Autotrack automatically detects URL changes made via the History API and tracks those as pageviews. It also keeps the tracker in sync with the updated URL so all subsequent hits (events, social interactions, etc.) are associated with the correct URL.

Declarative event tracking

Sometimes it's easier to declaratively add an event to the HTML than to manually write an event listener in JavaScript. Tracking simple click events is a prime example of this. To track click events with autotrack, you just add data attributes to your markup.

<button data-event-category="Video" data-event-action="play">Play</button>

When a user clicks on the above button, an event with the corresponding category and action (and, optionally, label and value) is sent to Google Analytics.

Media query tracking

Most sites today use responsive design to update the page layout based on the screen size or capabilities of the user's device. If media queries are used to alter the look or functionality of a page, it's important to capture that information to better understand how usage differs when different media queries are active.

Autotrack allows you to register the set of media query values you're using, and those values are automatically tracked via custom dimensions. It also tracks when those values change. (Note that media query tracking requires you to set up custom dimensions in Google Analytics. The process only takes a few minutes, and the instructions are explained in the mediaQueryTracker plugin documentation.)

These are just a few of the features you can enable when using Autotrack. For a complete list of all plugins and instructions on how to use them, refer to the Autotrack documentation on Github.

Who should use autotrack?


While anyone could use and benefit from autotrack, the library is primarily geared toward sites that do not customize their current analytics implementation and would like to take advantage of the features described in this article.

If you're just using the default tracking snippet today, you should consider using autotrack. If you already have a custom implementation of Google Analytics, you should first check the documentation to make sure none of the autotrack features will conflict and no data will be double-counted.

Next steps


To get started using autotrack, check out the usage section of the documentation. If you're curious to see what the data captured by autotrack looks like, the Google Analytics Demos & Tools site uses autotrack and has a page with charts showing the site's own Google Analytics data.

If you want to go deeper, the autotrack library is open source and can be a great learning resource. Have a read through the plugin source code to get a better understanding of how many of the advanced analytics.js features work.

Lastly, if you have feedback or suggestions, please let us know. You can report bugs or submit any issues on Github.

By: Philip Walton, Developer Programs Engineer

Enable better decisions with Data-Driven Attribution

The following was originally posted on the DoubleClick Advertiser Blog.
Consumers see a lot of different ads as they make buying decisions. Some ads have a huge impact on the final purchase, others help the process along, and still others contribute absolutely zero. The trick, of course, is knowing which ad does what.
Today we’re introducing Data-Driven Attribution to all DoubleClick accounts. It's a new tool that helps you give the right credit to each and every advertising touch point ― and shows you the optimal combination for your marketing.
Powered by Adometry, Data-Driven Attribution uses a modeling methodology developed by Google engineers and grounded in advanced statistics and economic principles. It assigns credit accurately and automatically to all your digital media ads served through DoubleClick.
Click image for full-size version

Turbocharge your campaigns
DoubleClick Digital Marketing already has a strong attribution foundation with Multi-Channel Funnels and the Attribution Modeling Tool. Now it's even easier to make decisions about how to best allocate your digital media budget. Data-Driven Attribution is:
  • Actionable: The contribution made by each marketing channel is clear (in both converting and non-converting paths), so you can make better data-driven marketing decisions.
  • Accessible: Just choose your goals (such as e-commerce transaction or email signups) and Data-Driven Attribution will show you the contribution made by each of your digital campaigns.
  • Comprehensive: No need for new tags, just turn on the feature and you’ll see data for your campaigns.

There’s no room for guesswork in attribution ― and when you’re not guessing, you’ll see greater ROIs and better performances.

“Mindshare helps brands get the most of their digital marketing. To do that we need meaningful insights on the consumer path to purchase across both display and search. We have been testing Data Driven Attribution in DoubleClick and we have seen tailored recommendations that allow us to take fast action for greater impact and better ROI. In some campaigns we have been able to improve budget allocation and have seen CPA improve by 25%.”
-Karen Nayler, CEO, Mindshare Canada

How to get started
You'll find the Attribution interface in the Reporting and Attribution section of your DoubleClick account. You can activate Data-Driven Attribution for all your floodlight tags and once you start collecting data, you'll see a new recommended model appear after seven days.
Learn more about Data-Driven Attribution.
Posted by Luke Hedrick, Product Manager, DoubleClick


Measuring Super Bowl 50’s Top TV Ads with TV Attribution

Each year, hundreds of millions of us gather around TVs to watch America’s big game — the Super Bowl. And for many, the TV commercials are at least or maybe even more interesting than the game itself. Companies annually spend millions of dollars trying to entertain us or tug at our heartstrings. For these advertisers, it is straight up, unabashed brand advertising. Not that there’s anything wrong with that.

However, other advertisers are looking to accomplish something much different. The goal of their ads is to pique your interest, get you to find out more about the product, and yes, maybe even make a purchase. In a word, their success is based on creating “intent.” Unfortunately, understanding the impact of TV advertising based on consumer response has historically been difficult at best.

Enter the second screen. According to a recent report by Accenture, 87% of consumers use a second screen device (laptop, tablet, phone) while watching TV. The result is a direct connection between TV commercials and digital activity including search queries, search clicks, and direct website visits. Adometry TV Attribution uses machine-learning techniques to model this minute-by-minute response data and estimate the incremental impact of each unique TV spot at very granular level. In essence, it allows you to measure TV just like digital.

So, how did the TV ads from Super Bowl 50 fare when measured by Adometry TV Attribution? From a response perspective, this year’s top TV commercials are:


A much different list than that of AdvertisingAge’s top rated commercials based on creative. For a complete rundown of the TV Attribution results, check out the full article on Think with Google which includes a complete list of the top ten Super Bowl commercials, along with response volume by quarter and device. 

The takeaway? For those investing in TV advertising with the goal of creating intent, you also need an effective strategy to capture and engage consumers on their second screens. In doing so, your consumers will have a much better experience and you’ll see even bigger ROI.

Posted by Casey Carey, Google Analytics team

Announcing GA Support for Accelerated Mobile Pages (AMP) Analytics

When Google was a few years old, we wrote up a list of Ten things we know to be true. The list includes items like “Focus on the user and all else will follow” as well as “Fast is better than slow.” It would be tough to say that much of the mobile web has adhered to these principles. Users often get frustrated by poor experiences in which sites load slowly or will lock up trying to load resources that clog their data connections.

The Accelerated Mobile Pages Project (AMP) is an open source initiative that aims to address these problems by enabling content to load instantaneously and provide a better web experience for all. AMP introduces a new format that is a flavor of HTML. It’s built to prioritize speed and a fantastic user experience. One way that AMP provides reliably good page loading performance is by restricting the ability to add custom JavaScript to pages and instead relying on built in, reusable components.

Today, the AMP team announced the launch of an analytics component that will enable measurement on AMP pages. The Google Analytics team is committed to helping our users measure their content wherever it appears. So, for publishers looking to use AMP to provide an improved user experience, we’ve released Google Analytics measurement capabilities for Accelerated Mobile Pages. AMP support in Google Analytics makes it easy to identify your best content and optimize your user experience.

How Google Analytics Support Works

Analytics on AMP is handled by an open source, reusable component that the Google Analytics team helped build. The <amp-analytics> component can be configured with Google Analytics specific configuration parameters to record pageviews, events, and even custom dimensions. That configuration works hand in hand with a global event listener that automatically detects triggers like button presses. As a result, there’s no need to scatter custom JavaScript throughout your page to detect actions that should trigger events and hits. Instead, you can define which actions should trigger hits within the configuration section and let the magic of AMP do the rest.

How to Get Started

Before you get started with AMP Analytics, you’ll need to get started with AMP itself. The AMP website contains a great introduction to getting started. Once you have an AMP page up, it’s time to start thinking about how you’d like to measure its performance. 

We recommend that you use a separate Google Analytics property to measure your AMP pages. AMP is a new technology that’s going to mature over time. As such, some of the functionality that you’re used to in web analytics won’t immediately be available in AMP analytics right away. AMP pages can appear in multiple contexts, including through different syndication caches. Because of that, a single user that visits an AMP version of a page and a HTML version of a page can end up being treated as two distinct users. Using a separate Google Analytics property to measure AMP pages makes it easier to handle these issues.

Once you have your AMP page and new Google Analytics property set up, you’ll want to reference the requirements for using Analytics on AMP pages as well as the developers guide for instrumenting measurement.

What’s Next

Multiple technology partners, including Google Search, Twitter, Pinterest, and LinkedIn have announced that they’ll start surfacing AMP pages in the coming months. The Google Analytics team is excited to support AMP from day one and look forward to growing our offering as AMP’s capabilities expand.


Posted by Dan Cary, Product Manager and Avi Mehta, Software Engineer

Data-Driven CMOs: Leaving the Information Age

Originally Posted on the Adometry M2R Blog

Remember the so-called “Information Age”? Once a catch all for all things technological, over time the term came to refer to the transition to a society in which individuals had access to a wealth of information to aid in decision-making – a global democratization of knowledge. From a marketing perspective, the Information Age also came to represent a fundamental shift for data-driven CMOs away from simple push tactics to a dynamic, real-time ebb and flow of information between brands and customers.

With this transition has come all sorts of complexity. An argument can be made that demands on marketers have never been higher; yet, in some respects the evolution towards data-driven marketing has simplified or even solved some of the profession’s biggest pain points, such as:
  • Gaining an ability to track performance at a granular level
  • Understanding consumer behaviors within the marketing funnel
  • Gleaning insights about how marketing impacts consumers’ inclination to make a purchase decision
In short, the Information Age now has less to do with access to information as it does with the ability to utilize it effectively.

Moving from Information to Insights

In a previous interview with CMO.com, I was asked what I now know that I wish I had known earlier in my marketing career. My response?
“Today’s marketing leaders are a combination of creative, technologist, analyst and strategist. Success in modern marketing is predicated on being agile, having great vision and being able to effectively manage change across the organization. To be clear, the advice would not be to blindly chase shiny new objects. Rather, it would be to proactively set aside the time and resources to foresee, evaluate and test opportunities on the horizon.”
So how do marketers manage change across their organizations? It starts identifying where marketing can offer unique value by transforming raw information into insights.

“Big data really isn't the end unto itself. It’s actually big insights from big data. It’s throwing away 99.999% of that data to find things that are actionable.”

The comment above was made previously by Bob Borchers, Chief Marketing Officer for Dolby Laboratories, at a Fortune Brainstorm Tech conference. It should go without saying...but to reiterate; data isn't the same as knowledge. Data without context is no more useful than knowing your current driving speed without understanding which direction the car is headed.

Another way to think about this is to consider the difference between building a data-driven marketing culture and a truly data-driven organization. We’re already witnessing this maturation happening within organizations that were early adopters of “big data”. Led by marketers who invested in foundational elements – attribution measurement and analytics, cross-channel allocation and alignment, etc. – these organizations are now taking the next step to integrate marketing with other disciplines, such as finance. In doing so, discussions about marketing performance start to sound less like functional assessments of campaign efficacy and more like part of a strategic, holistic business plan. Now impression and click-stream data can be discussed through the lens of media costs (online and offline) and supplier value, linked directly to sales.

Using a data-driven attribution measurement solution offers additional clarity by showing exactly how individual channels, publishers and creatives contributed to revenues. By looking beyond simple metrics and getting a more complete view of performance across channels, marketers suddenly have a sense for how to proactively manage towards overarching business objective (e.g. top-line growth) while also maintaining a sense for costs and ROI.

So is this still the Information Age or something else? What’s clear is that simply gathering and organizing information is no longer the endgame, it’s only the beginning.

Posted by Casey Carey, Google Analytics team

Google Apps Script: Tracking add-on usage with Google Analytics

The following was originally published on the Google Developers Blog.

Editor's note: Posted by Romain Vialard, a Google Developer Expert and developer of Yet Another Mail Merge, a Google Sheets add-on.

Google Apps Script makes it easy to create and publish add-ons for Google Sheets, Docs, and Forms. There are now hundreds of add-ons available and many are reaching hundreds of thousands of users. Google Analytics is one of the best tools to learn what keeps those users engaged and what should be improved to make an add-on more successful.

Cookies and User Identification

Add-ons run inside Google Sheets, Docs, and Forms where they can display content in dialogs or sidebars. These custom interfaces are served by the Apps Script HTML service, which offers client-side HTML, CSS, and JS with a few limitations.

Among those limitations, cookies aren’t persistent. The Google Analytics cookie will be recreated each time a user re-opens your dialog or sidebar, with a new client ID every time. So, Analytics will see each new session as if initiated by a new user, meaning the number of sessions and number of users should be very similar.

Fortunately, it’s possible to use localStorage to store the client ID — a better way to persist user information instead of cookies. After this change, your user metrics should be far more accurate.

Add-ons can also run via triggers, executing code at a recurring interval or when a user performs an action like opening a document or responding to a Google Form. In those cases, there’s no dialog or sidebar, so you should use the Google Analytics Measurement Protocol (see policies on the use of this service) to send  user interaction data directly to Google Analytics servers via the UrlFetch service in Google Apps Script.

A Client ID is also required in that case, so I recommend using the Apps Script User properties service. Most examples on the web show how to generate a unique Client ID for every call to Analytics but this won’t give you an accurate user count.

You can also send the client ID generated on client side to the server so as to use the same client ID for both client and server calls to Analytics, but at this stage, it is best to rely on the optional User ID in Google Analytics. While the client ID represents a client / device, the User ID is unique to each user and can easily be used in add-ons as users are authenticated. You can generate a User ID on the server side, store it among the user properties, and reuse it for every call to Analytics (both on the client and the server side). 

Custom Dimensions & Metrics
In add-ons, we usually rely on event tracking and not page views. It is possible to add different parameters on each event thanks to categories, actions, labels and value, but it’s also possible to add much more info by using custom dimensions & metrics.

For example, the Yet Another Mail Merge add-on is mostly used to send emails, and we have added many custom dimensions to better understand how it is used. For each new campaign (batch of emails sent), we record data linked to the user (e.g. free or paying customer, gmail.com or Google for Work / EDU user) and data linked to the campaign (e.g. email size, email tracking activated or not). You can then reuse those custom dimensions inside custom reports & dashboards.

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Once you begin to leverage all that, you can get very insightful data. Until October 2015, Yet Another Mail Merge let you send up to 100 emails per day for free. But we’ve discovered with Analytics that most people sending more than 50 emails in one campaign were actually sending 100 emails - all the free quota they could get - but we failed to motivate them to switch to our paid plan.

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As a result of this insight, we have reduced this free plan to 50 emails/day and at the same time introduced a referral program, letting users get more quota for free (they still don’t pay but they invite more users so it’s interesting for us). With this change, we have greatly improved our revenue and scaled user growth.

Or course, we also use Google Analytics to track the efficiency of our referral program.

To help you get started in giving you more insight into your add-ons, below are some relevant pages from our documentation on the tools described in this post. We hope this information will help your apps become more successful:
Posted by Romain Vialard, Google Developer Expert. After some years spent as a Google Apps consultant, he is now focused on products for Google Apps users, including add-ons such as Yet Another Mail Merge and Form Publisher.