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Google Analytics Blog



The latest news, tips and resources straight from the Google Analytics team.



Updated: 2017-11-20T04:06:09.435-08:00

 



Google Analytics for Firebase: New Look and New Features

2017-11-17T20:53:19.731-08:00

If you use Google Analytics for Firebase to measure your apps, you'll notice something familiar today: a new look and feel that's more consistent with your Google Analytics experience.These new elements echo some of the changes we made to Google Analytics earlier this year — the updates should help bridge the gap for anyone who uses both Google Analytics and Google Analytics for Firebase. We've also added new reports and cards that will make the Google Analytics for Firebase Dashboard more timely and helpful.Real-Time Data We are now providing you with more real-time information throughout Google Analytics for Firebase to give you a better read on what’s happening in your app.Inside the Google Analytics for Firebase Dashboard, you’ll now find a real-time card, much like the one on the Google Analytics Home. It shows details on the number of active users in the past 30 minutes. You'll also see the top conversion events logged by the app. You can configure these conversions so you can track app events that are most important to your team.The new Google Analytics for Firebase Dashboard   Google Analytics for Firebase has a brand new stability card that reports on data from Firebase Crash Reporting and Firebase Crashlytics. It displays the percentage of users who have not had their app crash, so you can see just how stable your app is.Latest Release The new Latest Release report lets app developers track the adoption and stability of new app versions within a few hours of release.The report also contains a real-time card with an app version filter that lets you see which users have adopted the latest version of a release and know whether any versions have crashed in the past 30 minutes. It also lets you measure your users’ level of engagement.Same Great Analytics The updated experience is more consistent with Google Analytics, but one thing hasn't changed: Google Analytics for Firebase users still get the same great app-centric reporting and analysis they're used to for Android and iOS. Our engineers are working on developments and new features we'll share in the months to come.To see the new look and updated features, check out your Firebase project now. (Don't have one yet? Sign up!) Posted by Sukriti Singal, Product Manager, Google Analytics [...]



New tools for managing Google Analytics users

2017-11-08T11:00:16.564-08:00

Last month we announced new account management tools for businesses using Google Analytics. Today we’re thrilled to introduce another round of improvements. Over the coming months, we’ll centralize user management across a company’s many Google Analytics accounts and launching user groups to simplify the task of managing permissions for multiple teams of users. We've heard feedback from many businesses about the need for simple but powerful tools to manage access to their important analytics data and built these features help to meet these needs. Centralized user managementAdministrators can now centrally manage users across all Google Analytics accounts linked to your organization. If you have many accounts, and need to add users across them, you’ll see huge time savings. For example, if you need to give a new teammate access to 25 accounts, you previously had to visit every account to get them setup. Now you can complete this task from one place. Centralized user management for an organizationYou can also: View rich cross product and cross account details for your usersManage a user’s access across many Analytics accounts in one consoleSee new details about how a user inherits their permissionsGet clear in-product explanations of different access levels and privileges User details showing access across products and accounts If you’re just using Google Analytics, and don’t need to manage users across accounts, you’ll see many of these same improvements inside of Google Analytics. All of the navigation and documentation improvements are present in both places. User Groups in Google AnalyticsOrganization administrators often need to manage access for hundreds of users. This process can be tedious, especially when dealing with multiple Analytics accounts. Now you can more easily manage large teams of users by creating a group, placing the appropriate people inside it, and granting the groups access to the appropriate Analytics accounts. You can even place a group inside a group if you need to manage a hierarchy of teams. To get started, you’ll need to create an organization. Check out this help center article for more information. Detail for an example “IT Team” user groupCombined with existing features like the ability to centrally audit and set policies for users, these new features bring enterprise grade controls to your organization. They also pave the way for future enhancements, such as bringing centralized user management and user groups to more products. Posted by Matt Matyas, Product Manager Google Analytics [...]



Better A/B Testing with Firebase

2017-11-17T20:53:34.208-08:00

Earlier this year, the Google Optimize and Firebase teams worked together to bring A/B testing functionality to Firebase. Last week, at the Firebase Dev Summit, we announced that A/B testing is now available in beta to all app developers.This post originally appeared on The Firebase Blog. Announcing Better A/B Testing with Firebase If you're like most app developers, you know that small changes can often make a big difference in the long term success of your app. Whether it's the wording that goes into your "Purchase" button, the order in which dialogs appear in your sign-up flow, or how difficult you've made a particular level of a game, that attention to detail can often make the difference between an app that hits the top charts, or one that languishes. But how do you know you've made the right changes? You can certainly make some educated guesses, ask friends, or run focus groups. But often, the best way to find out how your users will react to changes within your app is to simply try out those changes and see for yourself. And that's the idea behind A/B testing; it lets you release two (or more!) versions of your app simultaneously among randomly selected users to find out which version truly is more successful at getting the results you want. And while Firebase Remote Config did allow you to perform some simple A/B testing through it's "random percentile" condition, we've gone ahead and added an entirely new experiment layer in Firebase that works with Remote Config and notifications to make it quick and easy to set up and measure sophisticated A/B tests. Let's take a quick tour of how it works!Getting to Know the New A/B Testing Feature With the new A/B testing feature, you can create an A/B test that will allow you to play with any combination of values that you can control through Remote Config. Setting up an A/B test allows you to define how the experiment will behave in a number of different ways, including determining how many of your users are involved with the experiment at first… …how many variants you want to run, and how your app might behave differently for each variant… ...and what the goal of the experiment is. Different experiments might have different desired goals, and A/B testing supports a number of common outcomes, like increasing overall revenue or retention in your app, reducing the number of crashes, or increasing the occurrence of any event you're measuring in Google Analytics for Firebase, such as finishing your in-app tutorial.Once you've defined your A/B test, Firebase takes over by delivering these different variations of your app to randomly-selected members of your audience. Firebase will then measure your users' behavior over time, and let you know when an experiment appears to be performing better, based on those goals you've defined earlier. Firebase A/B testing measures these results for you with the same Bayesian statistical models that power Google Optimize, Google's free testing and personalization product for websites. Using A/B Tests for Better Onboarding: A Case Study Fabulous, a motivational app for building better habits, recently made improvements to their app's onboarding by using Firebase A/B testing. When the user first starts an app, Fabulous shows them how to complete a habit, presents them with a letter about forming better habits, and then asks them to commit to a simple routine. The team suspected that if they removed a few steps from this onboarding process, more people might complete it. Some of the screens a typical user encounters when first using Fabulous.  So they ran an A/B test where some users didn't see the letter, others didn't see the request to commit to a simple routine, and others skipped both of those steps. The Fabulous team found that by removing both of these steps from the onboarding process, there was a 7% improvement in the rate of users completing the onboarding flow. More importantly, they confirmed that this shorter onboarding experience di[...]



Google Analytics 360 + Salesforce: A Powerful Combination

2017-11-17T20:53:52.144-08:00

We often hear from marketers how challenging it is to piece together online and offline customer interactions in order to see a complete view of a customer’s journey. That’s why we’re excited to share that Google and Salesforce are working together to seamlessly connect sales, marketing and advertising data for the first time, giving you the full view of what’s working and what isn’t as customers engage with your ads, websites, apps, emails, call centers, field sales teams and more. Today at Dreamforce, Google and Salesforce are announcing a strategic partnership to deliver four new, turnkey integrations between Google Analytics 360, Salesforce Sales Cloud and Salesforce Marketing Cloud: Sales data from Sales Cloud will be available in Analytics 360 for use in attribution, bid optimization and audience creation Data from Analytics 360 will be visible in the Marketing Cloud reporting UI for a more complete understanding of campaign performance Audiences created in Analytics 360 will be available in Marketing Cloud for activation via direct marketing channels, including email and SMS Customer interactions from Marketing Cloud will be available in Analytics 360 for use in creating audience lists These new connections between our market-leading digital analytics solution and Salesforce’s market-leading customer relationship management (CRM) platform will change the game for how our clients understand and reach their customers — and how they measure the impact of their marketing. These integrations are fully consistent with our privacy policies and have settings that offer privacy controls and choice on how data is used. By integrating your customer data, you can see a customer’s path from awareness all the way through to conversion and retention. And with connections to Google’s ad platforms and Salesforce’s marketing platform, you can quickly take action, engaging them at the right moment. You'll see these new integrations begin to arrive in the first half of 2018. Example of a complete customer journey funnel in Google Analytics 360 joining website data (pageviews, leads submitted) with pipeline data from Sales Cloud (lead and opportunity stages); example also shows a prompt to create a new audience segment to take actionNew insightsUntil now, businesses have not been able to connect offline interactions, such as an estimate provided by a call center rep or an order closed by a field sales rep, with insights on how customers use digital channels. With the connection between Sales Cloud and Analytics 360, soon you’ll be able to include offline conversions in your attribution modeling when using Google Attribution 360, so you’ll have a more complete view of ROI for each of your marketing channels and even more reason to move away from a last-click attribution method. This integration will also let you see how your most valuable customers engage with your digital properties, answering some important questions like, what are they looking for and are they actually finding what they need? With the integration allowing data from Analytics 360 to be visible in Marketing Cloud, you’ll gain a more complete understanding of how your marketing campaigns perform. For example, if you send an email campaign to frequent shoppers to promote your fall fashion line, you’ll be able to see right in Marketing Cloud information such as how many pages people visited when they came to your site, the number of times people clicked on product details to learn more, and how many people added items to their shopping cart and converted. Easy to take actionToday, Google Analytics allows you to create audience lists and goals that you can easily send to AdWords and DoubleClick for digital remarketing and to optimize bids. With the new connection from Sales Cloud to Analytics 360, in addition to unlocking new insights and more data for attribution modeling, you’ll be able to combine Salesforce data (such as sales milestones or conversions) [...]



Open Source Community Connectors for Data Studio

2017-11-02T14:20:53.113-07:00

More than six hundred developers have signed up for developer access to Data Studio Community Connectors since the Developer Launch. Community Connectors give developers an opportunity to come up with innovative solutions for data access and broaden the scope of data sources users can connect to.Based on community feedback, we recognized that many of you are looking to share your work on connectors with the community. Also, developers are looking for more examples to follow. With these community needs in mind, today, we are announcing the Open Source Community Connectors repository on GitHub.Use open source Community ConnectorsFor every connector that is hosted in the open source repository, the Data Studio Developer Relations team will manage a deployment for the connector’s latest code. This managed deployment will enable all users to immediately try the connector in Data Studio by simply clicking a link. Managed deployments also make it easier for developers since you do not have to deploy and maintain the connectors yourself; we’ll take care of this for you.You can try out the following Open Source connectors directly in Data Studio:npm Downloads connector: Fetch download counts for specific npm packages by dateFusion Tables connector: Fetch data from Google Fusion TablesStack Overflow Questions connector: Fetch Stack Overflow Question metadata for specific tagsExample dashboards using these connectors: allowfullscreen="" frameborder="0" height="300" src="https://datastudio.google.com/embed/reporting/0B49wAehqhYEKRC1QbzRUZ1lNcUU/page/fbYJ" style="border: 0;" width="600"> width="600" height="300" src="https://datastudio.google.com/embed/reporting/0B49wAehqhYEKUkRBeXYzYUJZV3M/page/RqpJ" frameborder="0" style="border:0" allowfullscreen>Learn about best practicesIf you want to connect to new Data Sources using Data Studio but have not yet looked into Community Connectors, now would be the best time to start since a variety of example connector code have become available. These examples will give you a head start and create a platform for you to learn and share with other community members.Initially, we are releasing these connectors in our open source repository:npm DownloadsFusion TablesStack Overflow QuestionsContribute to the communityIf want to submit your own open source connector to the repository, you can send us a pull request. Alternatively you can maintain your own repository and link to that from the official repository.This Git repository is a small start where we plan to make new additions. We have already seen other open source Community Connectors like data.world and getSTAT. We are hoping that initiative will help developers and users to create connectors to new Data Sources and thus make more data accessible in Data Studio. Developers can also collaborate with each other as well as report new issues and fix existing ones through these open source connectors.This collaboration platform gives developers the option to leverage support from the community. If you want to develop your own connector but are unable to maintain it in the long run, you can add it to our repository so that the community can support it.Visit the repository and start building your own Community Connector today!Posted by Minhaz Kazi, Google Analytics team [...]



Google Optimize now offers more precision and control for marketers

2017-11-17T20:54:06.914-08:00

Savvy businesses review every step of the customer journey to ensure they are delivering the best experience and to find ways to offer more value. Today, we’re releasing two new features that will make it easier for you to improve each of those steps with the help of Google Optimize and Optimize 360. AdWords integration: Find the best landing page Marketers spend a lot of time optimizing their Search Ads to find the right message that brings the most customers to their site. But that's just half the equation: Sales also depend on what happens once people reach the site. The Optimize and AdWords integration we announced in May gives marketers an easy way to change and test the landing pages related to their AdWords ads. This integration is now available in beta for anyone to try. If you’re already an Optimize user, just enable Google Optimize account linking in your AdWords account. (See the instructions in step 2 of our Help Center article.) Then you can create your first landing page test in minutes.Suppose you want to improve your flower shop's sales for the keyword “holiday bouquets.” You might use the Optimize visual editor to create two different options for the hero spot on your landing page: a photo of a holiday dinner table centerpiece versus a banner reading "Save 20% on holiday bouquets." And then you can use Optimize to target your experiment to only show to users who visit your site after searching for “holiday bouquets.”If the version with the photo performs better, you can test it with other AdWords keywords and campaigns, or try an alternate photo of guests arriving with a bouquet of flowers. Objectives: More flexibility and control Since we released Optimize and Optimize 360, users have been asking us for a way to set more Google Analytics metrics as experiment objectives. Previously,Optimize users could only select the default experiment objectives built into Optimize (like page views, session duration, or bounces), or select a goal they had already created in Analytics.With today's launch, Optimize users no longer need to pre-create a goal in Analytics, they can create the experiment objective right in Optimize: Build the right objective for your experiment directly in the Optimize UI. When users build their own objective directly in Optimize, we’ll automatically help them check to see if what they’ve set up is correct.Plus, users can also set their Optimize experiment to track against things like Event Category or Page URL.Learn more about Optimize experiment objectives here. Why do these things matter? It's always good to put more options and control into the hands of our users. A recent study showed that marketing leaders – those who significantly exceeded their top business goal in 2016 – are 1.5X as likely to say that their organizations currently have a clear understanding of their customers' journeys across channels and devices.1 Testing and experimenting is one way to better understand and improve customer journeys, and that's what Optimize can help you do best.>>> Check out these new features in Optimize now<<<1Econsultancy and Google, "The Customer Experience is Written in Data", May 2017, U.S. Posted by Rotimi Iziduh and Mary Pishny, Product Managers, Google Optimize [...]



Data Studio: Richer Visualizations and Analytical Functions

2017-10-25T13:21:48.009-07:00

The Data Studio team has been hard at work launching new features to allow for richer visualization and new views on data. Today, we'll highlight some of these recent launches. Pivot Tables Pivot tables let users narrow down a large data set or analyze relationships between data points. Additionally, they reorganize user's dimensions and metrics to help quickly summarize data and see relationships that might otherwise be hard to spot. allowfullscreen="" frameborder="0" height="240" src="https://datastudio.google.com/embed/reporting/0B5FF6JBKbNJxRTM4aWtuQXc3LUU/page/4SUJ" style="border: 1;" height="240" width="800">Example Pivot Table (Help center doc here) Coordinated Coloring Coordinated coloring allows users to bind colors to specific data. When a user creates visualizations, Data Studio automatically binds colors to data, so that color:data pairs stay consistent between visualizations and when filtering. This feature is automatically turned on for all new reports, and available in old reports. allowfullscreen="" frameborder="0" height="350" src="https://datastudio.google.com/embed/reporting/0B5FF6JBKbNJxaGVjRUx3Sl8xWkE/page/RWUJ" style="border: 1;" height="350" width="1000">Example Coordinated Coloring (Help center doc here) Google Analytics Sampling Indicator Google Analytics samples data in order to provide accurate reporting in a timely manner. Data Studio now shows a sampling indicator in Data Studio reports when a component contains sampled Analytics data. GA Sampling indicator (Help center doc here)Field Reports EditingData Studio has also recently added new options to the chips in reporting. These new options allow you to: Rename fieldsChange aggregation typesChange semantic typesChange date functionsApply % of total, difference from total, or percent difference from total to a metric from within the report.Example of new field editing options (Help center doc here).Submitting and voting for new featuresThe Data Studio team will continue to introduce new features and product enhancements based on your submissions. You can view requests submitted by other users, upvote your favorites, or create new ones. Learn more here. Posted by Dave Oleson, Product Manager, Google Data Studio [...]



Smarter attribution for everyone

2017-10-20T08:51:46.512-07:00

In May, we announced Google Attribution, a new free product to help marketers measure the impact of their marketing across devices and across channels. Advertisers participating in our early tests are seeing great results. Starting today, we’re expanding the Attribution beta to hundreds of advertisers. We built Google Attribution to bring smarter performance measurement to all advertisers, and to solve the common problems with other attribution solutions. Google Attribution is:Easy to setup and use: While some attribution solutions can take months to set up, Google Attribution can access the marketing data you need from tools like AdWords and Google Analytics with just a few clicks.Cross-device: Today’s marketers need measurement tools that don't lose track of the customer journey when people switch between devices. Google Attribution uses Google’s device graph to measure the cross-device customer journey and deliver insights into cross-device behavior, all while protecting individual user privacy.Cross-channel: With your marketing spread out across so many channels (like search, display, and email), it can be difficult to determine how each channel is working and which ones are truly driving sales. Google Attribution brings together data across channels so you can get a more comprehensive view of your performance.Easy to take action: Attribution insights are only valuable if you can use them to improve your marketing. Integrations with tools like AdWords make it easy to update your bids or move budget between channels based on the new, more accurate performance data.Results from Google Attribution beta customersLast April, we shared that for AdWords advertisers, data-driven attribution typically delivers more conversions at a similar cost-per-conversion than last-click attribution. This shows that data-driven attribution is a better way to measure and optimize the performance of search and shopping ads. Today we’re pleased to share that early results from Google Attribution beta customers show that data-driven attribution helps marketers improve their performance across channels. HelloFresh, a meal delivery service, grew conversions by 10% after adopting Google Attribution. By using data-driven attribution to measure across channels like search, display, and email, Google Attribution gives HelloFresh a more accurate measurement of the number of conversions each channel is driving. And because Google Attribution is integrated with AdWords, HelloFresh can easily use this more accurate conversion data to optimize their bidding. "With Google Attribution, we have been able to automatically integrate cross-channel bidding throughout our AdWords search campaigns. This has resulted in a seamless change in optimization mindset as we are now able to see keyword and query performance more holistically rather than inadvertently focusing on only last-click events.- Karl Villanueva Head of Paid Search & Display, HelloFreshPixers, an online marketplace, is also seeing positive results including increased conversions. Google Attribution allows Pixers to more confidently evaluate the performance of their AdWords campaigns and adopt new features that improve performance. "By using Google Attribution data we have finally eliminated guesswork from evaluating the performance of campaigns we're running, including shopping and re-marketing. The integration with AdWords also enabled us to gradually roll-out smart bidding strategies across increasing number of campaigns. The results have significantly exceeded expectations as we managed to cut the CPA while obtaining larger conversion volumes."- Arkadiusz Kuna, SEM & Remarketing Manager at PixersGoogle Attribution can also help brands get a better understanding of their customer’s path to purchase. eDreams ODIGEO, an online travel company, knows that people don’t usually book flights or [...]



Better tools for teams of all sizes

2017-10-10T09:00:25.264-07:00

We’ve heard feedback from businesses of all sizes that they need simpler ways to manage the analytics products they use and the team members who use them. That’s why we’re making new controls available to everyone who uses Analytics, Tag Manager, and Optimize and improving navigation for users of Surveys and Data Studio. These new features will help you more easily manage your accounts, get an overview of your business, and move between products. Streamlined account managementWith centralized account management, you can control user access and permissions across multiple products, like Analytics, Tag Manager, and Optimize. The first step is to create an organization to represent your business. You then link this organization to all of the different accounts that belong to your business. You can also move accounts between the organizations you create. Now you have a central location where administrators for your organization can: Create rules for which types of new users should be allowed access to your organizationAudit existing users and decide which products and features they should have access toRemove users who have left your organization or no longer need access to the toolsSee the last time a user in your organization accessed Google Analytics dataAllow users to discover who are your organization’s admins and contact them for helpNew home pageSetting up an organization also gives you access to a new home page that provides an overview of your business. You’ll be able to manage accounts and settings across products and get insights and quick access to the products and features you use most. For example, you might see a large increase in visitors for a specific Analytics property, and then click through to Analytics to investigate where the visitors are coming from. Simplified navigationFinally, you’ll get a unified user experience across products. Common navigation and product headers make it easy to switch between products and access the data you need. You can view accounts by organization, or see everything you have access to in one place. We’ve also redesigned search, making it possible to search across all of your accounts in a single place. Get startedIf your business would benefit from these features, please visit this page to get started. You can also check out the help center for more info. These updates will be rolling out over the next few weeks, so please stay tuned if you don’t yet have access. Note: If you’re using the enterprise versions of our products, like Analytics 360, you already have access to these features as part of the Google Analytics 360 Suite. Posted by John Oberbeck, Product Manager Google Analytics [...]



Get Your Data House in Order: Our Checklist for Useful Marketing Data

2017-10-05T14:36:18.841-07:00

Every organization has unique data needs, but leading organizations have one thing in common: They expect data to be useful. In fact, marketing leaders are 127% as likely as the mainstream to say that their data and analytics strategy is useful for decision-making at all levels.1We shared more insights about usefulness — and other findings from new Econsultancy research conducted in partnership with Google — in a recent webinar with MIT Sloan, where marketers from companies of all sizes joined to learn how organizations around the world regularly turn insights into action.It goes without saying that the word “useful” can mean different things to different marketers. As you build a data strategy that’s optimized for your business, there are a few helpful questions you can ask to frame your thinking.Use this quick checklist to get yourself on the right track — and watch the webinar to learn more about the research findings.Is your data organized? The amount of data useful to your company depends on the size of the company, but one thing is certain: only organized data is useful data.In another study, 61% of marketing decision makers said they struggled to access or integrate the data they needed in 2016.2 When gathering and analyzing data, it’s important to know how your data should be organized in order to know what to focus on. Data dispersed in different organizational silos will be difficult to sift through, let alone use to inform important decisions. Instead, get data out of silos and organize it so that it can be useful.Is your data focused on the user?In our webinar, listeners learned that a user-centric approach — and the better understanding of your audience that comes with it — helps organizations handle the ever-increasing number of touchpoints in the customer journey and deliver more relevant, engaging experiences.Nearly 90% of leaders agree that understanding user journeys across channels and devices is critical to marketing success.3 Any data that allows marketers to better understand these journeys is useful for decision-making.Is your data integrated?Our report with Econsultancy found that top companies place a greater emphasis on integrating their technology. Specifically, organizations with integrated marketing and advertising stacks are 37% more likely to say that their company uses data to support decision-making at all levels, compared to marketers without fully integrated technologies.4Ask yourself: How and where does my business use data? During our webinar, we polled the audience to see in which areas of business the participants most commonly use data and analytics. See how you compare:The live attendees of our webinar, "Get Your Data House in Order," answered the question: In what areas of your business are you using data analytics?Do you have defined KPIs? Before you truly define what “useful” data means for you, you need to set KPIs. In our Econsultancy study, 45% of all respondents say that unclear definitions of KPIs present a significant negative impact on their organizations, whereas leaders are 47% more likely than the mainstream to say that their data and analytics strategy includes how they define KPIs for paid media and (38% more likely for owned properties).5The concept is simple: If you don’t know what you’re working toward, you can’t know what’s useful to you.Does your team know how to use the data? Finally, data can only be useful if your team knows how to interpret and use it. The most effective way to ensure that data is properly shared throughout the team — and that all employees have access to effective training — is to have a documented data and analytics strategy.More than half of the mainstream marketers we surveyed said their companies do not have adequate analyst-related resources. As[...]



Access all of your data with Data Studio Community Connectors

2017-09-29T13:11:28.751-07:00

Since the recent developer launch of Data Studio Community Connectors, users have been able to easily connect to and report on data from over 250 new sources.Partners are also now leveraging Data Studio + Community Connectors as a free and powerful reporting and analysis solution for their customers, with minimal development investment.We’ve already seen a number of interesting use cases. For example, ClickInsight, a Data Studio certified partner, used Community Connectors to create interactive experiences for the weather forecast in Toronto, the NY Times most popular stories, and real time departures info for the Bay Area Rapid Transit system. They embedded these Data Studio reports in a blog post for anyone to try, Are You Ready to Get Creative with Data Studio Connectors?Try Community ConnectorsWe have been working with a growing number of partners that are making it easy for users to directly access all of their data in Data Studio. Partners such as AdStage, Analytics Canvas, CallRail, data.world, Funnel, PowerMyAnalytics, and Supermetrics have enabled easy access to 250 data sets including: Facebook Ads, MailChimp, LinkedIn, Instagram, Pinterest, Reddit, Amazon, and many more available through the Community Connector Gallery.Data Studio Community Connectors GalleryEasily build your own Community ConnectorYou can develop your own Community Connectors and use them in Data Studio reports and dashboards. Your connector can fetch data from sources such as:Platforms for social media, enterprise, search, financial, HR, advertising, etc.Public and other open data sets.Internal/Private company data....and any data source or service that can be accessed over the internet. We’ve made it easy to build your own connector by leveraging the Google Apps Script platform which provides a multitude of services and resources to quickly build and deploy connectors. To learn more about building a Community Connector visit Getting Started with Community Connectors and the Community Connector Developer Program.Share, publish or open-source your Community ConnectorThe reports you create using Community Connectors can be shared with others. In addition, you can let other Data Studio users use your connector. For example, you can directly share your connector with colleagues at your organization or make your connector available for all Data Studio users to find by publishing your connector in the Community Connector Gallery.Tell us your storyIf you have any interesting connector stories, ideas or if you’d like to share some amazing reports you’ve created using Community Connectors please let us know by giving us a shout or send us your story at community-connector-feedback@google.com.As we continue to improve the Community Connector features be sure to regularly check the Community Connector Gallery for new additions that will enable greater access to all of your data in Data Studio.Posted by Pete Frisella, on behalf of the entire Data Studio team [...]



New: Streaming Google Analytics Data for BigQuery

2017-09-20T09:00:01.371-07:00

Streaming data for BigQuery export is here. Today we're happy to announce that data for the Google Analytics BigQuery export can be streamed as often as every 10 minutes into Google Cloud. If you're a Google Analytics 360 client who wants to do current-day analysis, this means you can choose to send data to BigQuery up to six times per hour for almost real-time analysis and action. That’s a 48x improvement over the existing three-times-per-day exports. What can I do with streaming data delivery?Many businesses use faster access to their data to identify and engage with clients who show an intent to convert. For example, it's well known that a good time to offer a discount to consumers is just after they've shown intent (like adding a product to their cart) but then abandoned the conversion funnel. An offer at that moment can bring back large numbers of consumers who then convert. In a case like this, it's critical to use the freshest data to identify those users in minutes and deploy the right campaign to bring them back. More frequent updates also help clients recognize and fix issues more quickly, and react to cultural trends in time to join the conversation. BigQuery is an important part of the process: it helps you join other datasets from CRM systems, call centers, or offline sales that are not available in Google Analytics today to gain greater context into those clients, issues, or emerging trends. When streaming data is combined with BigQuery's robust programmatic and statistical tools, predictive user models can capture a greater understanding of your audience ― and help you engage those users where and when they’re ready to convert. That means more sales opportunities and better returns on your investment. What's changing? Those who opt in to streaming Google Analytics data into BigQuery will see data delivered to their selected BigQuery project as fast as every 10 minutes. Those who don't opt-in will continue to see data delivered just as it has been, arriving about every eight hours. Why is opt-in required?The new export uses Cloud Streaming Service, which costs a little extra: $0.05 per GB (that is, "a nickel a gig"). The opt-in is our way of making sure nobody gets surprised by the additional cost. If you don't take any action, your account will continue to run as it does now, and there will be no added cost. What data is included?Most data sent directly to Google Analytics is included. However, data pulled in from other sources like AdWords and DoubleClick, also referred to as “integration sources”, operate with additional requirements like fraud detection. That means that this data is purposefully delayed for your benefit and therefore exempt from this new streaming functionality. For further details on what is supported or not supported, please read the help center article here. How do I get started?You can start receiving the more frequent data feeds by opting in. To do so, just visit the Google Analytics BigQuery linking page in the Property Admin section and choose the following option:You can also visit our Help Center for full details on this change and opt-in instructions. Posted by Breen Baker, on behalf of the Google Analytics team [...]



Google Data Studio: quicker and broader access to data

2017-09-06T11:57:15.047-07:00

Over the past 6 months we’ve launched over 25 new features in Google Data Studio including: making the product free and available globally, adding support for PostgreSQL and MySQL, and providing many new report layout options. Overall feedback has been great!Now we’re adding new features to make it quicker to access your data.Community Connectors Developer LaunchWe want to make it easy to access all your data within Data Studio. Today we are launching a new Data Studio “Community Connectors” developer program allowing you to visualize data from any source.Community connectors are created using Google Apps Scripts and are easy to build! (our UX team even built one to monitor bitcoin prices). Once created, a connector can be shared with other users, who can use the connector to access their own data.Today we have over 10 partners who have built connectors to over 200 sources and we’re excited to welcome more developers and data providers to the Data Studio community.  Check out the Community Connector Gallery to explore what our partners built.Data Studio Community Connector GalleryEmbedded ReportsMany customers want to bring Data Studio reports into their workflows or publish Data Studio reports on their own website. Now you can embed Data Studio reports in your websites and apps using simple iframe embedding. To see your report in your site, edit it, select Report > File > Embed report, then put the HTML code snippet into an iframe. Embeds can be fully interactive, and support both private, public, and non-logged in access, giving you fine-grained control over who can see your data.This new capability will allow you to share compelling data stories through your public websites and blogs, or share critical insights using your own business applications for no additional cost. align="center" allowfullscreen="" frameborder="0" height="300" src="https://datastudio.google.com/embed/reporting/0BxrvbpOtsqQJclJlVXhMcGxkVW8/page/XHvH" style="border: solid 1px #ccc;" width="400">Data ControlLarge organizations and agencies often have access to many accounts; for example, thousands of AdWords accounts, or hundreds YouTube channels. To simplify reporting, the new data control allows you to reuse a single report across all your accounts, dramatically reducing the time it takes to view data in a report. The data control can also be used to templatize reports, allowing viewers to see their data in a report without having to create anything in Data Studio. The data control supports the following connectors: AdWords (Account & MCC), YouTube Analytics, Search Console, DoubleClick Campaign Manager, and Google Analytics. We plan to add support for more connectors in the future.Data Studio report with AdWords, Search Console, YouTube, and DoubleClick Data ControlsAnd a few other updatesWe’ve also added a couple of additional capabilities. You can now export any chart data directly to Google Sheets. We added a new Google Cloud Storage connector, making it easy to use Data Studio with your data in Google Cloud Storage. We’ve added SSL support for the MySQL connector. We’ve added the ability to see the totals in the table visualization. And finally, we’ve made the product available in Russia.These announcements make accessing your data within Google Data Studio easier than ever. We’re excited to see what people do with them. For more information, check out:Community Connector GalleryCommunity Connector Developer ProgramReport Embedding help center Data Control help centerGoogle Cloud Storage Connector help centerThanks!Posted by Nick Mihailovski, on behalf of the entire Data Studio team [...]



Google Analytics is enhancing support for AMP on cache

2017-09-05T14:53:39.256-07:00

With users getting more and more impatient with slow mobile pages, developers are increasingly investing in a faster web experience with solutions like Accelerated Mobile Pages (AMP). Billions of AMP pages have been published by all kinds of mobile sites – from news to recipes to e-commerce. With so much AMP content being published every week, Google Analytics continues to evolve to support those of our customers who have adopted AMP.Today we are excited to be the first supporting vendor to announce a new service, Google’s AMP Client ID API, that will enable the same benefits for AMP pages displayed via Google surfaces. In May of this year we launched a solution to help you better understand your customers’ journeys across AMP and non-AMP experiences that were hosted on your own domain. Google’s AMP Client ID API will enable the same benefits for AMP pages displayed by Google such as in Google Search.How will this work? This solution works by allowing your web pages, which may be partially served on Google platforms and partially on your domain, to communicate with each other. This communication happens via a newly introduced Google API and with Google Analytics such that it can understand if a user on your non-AMP pages had ever visited an AMP page displayed by Google. When true, Google Analytics can help you understand user behavior across these two page types as a single cohesive experience.  To get started you’ll have to opt-in to this solution via a code change. The small code change is required on both your AMP and non-AMP websites to enable this as well as an acknowledgement of the new Google Analytics terms for usage of this API.When will this happen? The ability to opt-in to this solution is available today and you can find code instructions and new terms here. Please review the documentation and opt-in when you are ready.Are there any other implications of this change? Once you opt-in to this solution you will notice changes to some of your metrics. Your user and session metrics will drop down to more accurate counts as formerly distinct users are recognised as the same person, as well as related metrics that will also become more accurate (such as Time on Site and Bounce Rate). And New Users may rise temporarily. This is a function of the product more accurately counting your users. It's a one-time effect that will continue until all your users who have viewed AMP pages in the past return to your site (this can take a short or long period of time depending on how quickly your users return to your site/app). To get more detail about what may change, please read our help center article.Opt into this new feature today to get deeper insight into how users are interacting with your AMP pages.Happy Analyzing! Posted by the Google Analytics team [...]



Marketing with a Heart of Data

2017-08-24T12:07:25.421-07:00

At top companies, data drives strategies and daily decisions. Our new research with Econsultancy shows that 60% of leading marketers routinely take action based on analytics, and are also 48% more likely than mainstream marketers to say their strategy is strongly data-driven.1So, how can you help your organization feel data in its pulse? Move beyond instinct and intuition and put data at the heart of your marketing strategy to drive smarter decisions and produce better results.  Get over your gut — and take data to heartAs a confident decision-maker, it’s natural to trust your gut. But unless your instincts are right every time, why not consult another source? According to our report, nearly 60% of leading marketers agree that decisions made with data have better outcomes than those made with gut instinct or experience, compared to just 36% of mainstream marketers.2Data tells us things we may not want to hear. For example, maybe you thought last quarter’s campaign strategy would work again, but the data tells a different story. That’s why it’s important to take data to heart — in other words, to accept and trust what your analytics tell you. Marketing with a heart of data also means being comfortable enough with change to act on those insights. Leading marketers are 44% more likely than mainstream ones to say their company is “quite open to change.”3 Is yours?Let data flow freelyIt’s not enough for you to trust your data. For your data-driven marketing strategy to succeed, everyone’s heart has to be in it. Companies that invest in data and analytics at every level empower their marketing organizations to make more informed choices and provide better customer experiences.But this alignment is impossible if only analysts have access to data. The solution? Help get everyone comfortable with using data in their decision-making. When data flows freely and everyone understands how to use it, analytics can pump insight and value into every decision, strategy, and team.It’s no wonder 93% of survey respondents agree that collaboration across marketing and analytics teams is essential to driving results.4 In organizations where data is valued and accessible, anyone — and everyone — can uncover insights and drive the business forward.Don’t forget your headEven when your marketing organization has a healthy core, you’ll need the support of the C-suite to succeed and lead. After all, what good is a heart of data without a head of marketing?To secure executive buy-in, bring data insights to your meetings, calls, and conversations — use data to back up everything from big-idea budgets to email campaign optimizations. When executives receive recommendations based on analytics, they start to expect it.Two-thirds of survey respondents at leading companies say that being a more data-driven organization is a top goal for their CEO, compared to just half of respondents at mainstream organizations.5 While your C-suite can set the right beat to propel innovation and collaboration, you can help keep the systems functioning to ensure data remains at the heart of your strategy.Download the full Econsultancy research report here to learn how to build a truly data-driven culture.1-5 Econsultancy/Google, "Customer Experience is Written in Data", May 2017, U.S. (n=677 marketing and measurement executives at companies with over $250M in revenues, primarily in North America; n=199 leading marketers who reported marketing significantly exceeded top business goal in 2016, n=478 mainstream marketers (remainder of the sample)Posted by Casey Carey, Director of Platforms & Publisher Marketing, Google [...]



Three Ways to Get Data Out of Silos and Into Your Marketing Strategy

2017-08-10T07:00:27.754-07:00

There are a lot of ways to organize information. And the bigger a company is, the more complicated it can be for employees to find the right data, let alone know how best to use or share that information to make more-informed decisions.Chances are that some data is “hidden” in silos across your company. According to new research from Econsultancy in partnership with Google, 86% of senior executives agree: eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.1 If teams don’t talk, or if your organization doesn’t have an integrated data strategy to harness marketing, customer, and advertising data, information and ideas won’t flow freely. Here are three ways to break down data silos and get your organization on the path to a more collaborative, data-driven culture.1. Make data accessible — to everyoneIf you have work to do to get your data house in order, you’re not alone: 61% of marketing decision-makers struggled to access or integrate data they needed last year.2The first step to making data more accessible is to outline a data strategy that identifies data owners and key points of contact for each information source. Next, define how to integrate data and related technologies, and provide standards and processes related to data security and privacy. Include guidelines for sharing data internally.Democratizing access to data and insights enables employees at all levels to check their gut — and that leads to better results. The same Econsultancy study found that marketing leaders are 1.6X as likely as their mainstream counterparts to strongly agree that open access to data leads to higher business performance.3Watch our on-demand webinar featuring new research and best practices in marketing data and analytics strategy from Google and MIT Sloan School of Management. 2. Champion the value of data-driven insights over gut feelingsOnce data is made available to marketing managers and business decision-makers, make sure you champion a data-first mindset with your team. Using data effectively is a key differentiator for marketers who are ahead of the curve.While a documented data and analytics strategy can provide a guide for all employees, support from the top helps set the tone. Nearly two-thirds of leading organizations say that their executives treat data-driven insights as more valuable than gut instinct.4C-suite buy-in and other champions across the company help reinforce a data-driven culture by giving teams stuck in silos a nudge to collaborate and share analytic insights. Even better, this environment should give teams the incentive to align or share goals since data is core to campaign plans and marketing strategy.3. Educate stakeholders on how to interpret the dataHaving access to data is great, but if employees don’t know how to use it, the insights will remain isolated and unused. Consider this: 75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.5If a team is empowered with the right learnings, it will proactively integrate data rather than push it aside. Set up brown bag sessions or internal trainings, or provide employees access to self-paced learning modules.Finally, consider pairing the “data evangelists” and data storytellers within your organization with different team members to identify areas of focus based on relevant business goals and the biggest opportunities.Download the Econsultancy report, “The customer experience is written in data,” to learn how successful brands put data at the center of their mar[...]



Sigma Sport spins up 28% higher revenue with Google Optimize 360

2017-09-07T11:29:20.757-07:00

If you’re a road cyclist or triathlete, chances are you know Sigma Sport. This global retailer sells bikes, clothing, energy bars, anti-chafe balm and everything else you need to power your way through your next big event — or just enjoy your next friendly ride in the country.Recently Sigma Sport set out to address a vital need: to find more customers with high potential lifetime value. “Growth with high-value customers is key to our success,” says Nik Hill, the company’s Head of Digital. “We knew we needed to change our website experience to better engage these customers.”To reach its goal, Sigma Sport turned to its agency, the digital conversion specialists Merkle | Periscopix. And together they turned to Google Optimize 360, part of the Google Analytics 360 Suite.Using Optimize 360, Merkle | Periscopix created an experiment where they replaced Sigma Sport’s homepage carousel with brand-specific images of the site’s three top-performing brands: Castelli, Specialized, and Assos. Then they targeted the experiment to the audiences they had already built in Analytics.This allowed Merkle | Periscopix to serve personalized experiences to fans of each brand. “We used the Analytics audience targeting feature in Optimize 360 to serve bespoke experiences to subsets of users,” says Shahina Meru, Associate Analytics Lead at Merkle | Periscopix. “We created three distinct Analytics audiences who had earlier bought or interacted with the top three brands, then used these as targeting rules in Optimize 360. Anyone who had looked at or bought a Specialized bike in the past, for instance, now saw Specialized products in their carousel.” When Sigma Sport tested its new personalized home page, they saw right away that it was a hit with users. The experiment drove a 28% rise in revenue and a 32% increase in e-commerce conversion rate during the experiment. In fact, Sigma Sport saw uplift across the entire customer journey with a 90%+ probability to beat the baseline.The bottom line: Personalization worked, both for bike-shopping customers and for Sigma Sport. Now Merkle | Periscopix is looking for more ways to enhance user experience with personalization from Analytics and Optimize 360.>>Read the full case study here<



Now Optimize users can innovate in 37 new languages

2017-08-28T15:00:23.472-07:00

It just got a whole lot easier to share Google Optimize with your teams around the world.Optimize is now available in 37 new languages. Got a team in Thailand? No trouble. Cross-functional partner in Croatia? You're covered. You'll find the full list of supported languages here.We're always glad to bring our products to more of the world. But in this case, we're extra excited about the way this will help teams collaborate and innovate not just across the office but across the globe.In this data-rich world, everyone in your company needs to be part of building a culture of growth: a culture that embraces testing and analytics as the best way to learn what customers like most and to improve their experience day by day. Optimize opens the door for innovators at every level to explore how even tiny UI changes can improve results.  Often those innovators take the form of a small "X-team" — maybe an analyst, a designer, and an engineer working together and totally focused on testing and optimization. With Optimize, a group like that can create changes in minutes instead of days, and they can more easily share that growth mindset and inspire others across their organization.Now with 37 more languages in play, Optimize makes it possible for many more local teams to take on the role of optimizers, innovators, and culture-changers.If you have team members who have selected one of the 37 new languages in their Google Account preferences, they'll see Optimize in that language whenever they next sign in. (If you’d like to select a language preference just for Optimize, you can do so in your Optimize user settings at any time.) And if you're happy with your current Optimize language, you're fine: No action is needed.To learn more about your global language options, visit our help center. Happy optimizing!Posted by Rotimi Iziduh, Product Manager, Google Optimize [...]



Google Data Studio: New Feature Roundup

2017-07-27T14:29:05.660-07:00

The Data Studio team is constantly working on new features to improve the user experience for both report creators and viewers! In this blog post we’ll highlight some recent launches that you may have missed.Filter controls: search Filters give report viewers a powerful way to slice data by specific segments. But filters with hundreds or even thousands of possible values to choose from were previously difficult to use, requiring scrolling through very long lists of filter items. We recently added a search feature within the filter component, letting users quickly find and select or deselect specific items. allowfullscreen="" frameborder="0" height="607" src="https://datastudio.google.com/report-framed/reporting/0B_U5RNpwhcE6dnlOTGVsR3FsLWs/page/XlgG" style="border: 1px solid #bbb;" width="500">Filter controls: single-select There are also scenarios when it only makes sense to filter a report on a single value, as filtering on multiple values would return confusing or nonsensical data. Report creators now have the ability to configure filters to allow for single-selection only. allowfullscreen="" frameborder="0" height="607" src="https://datastudio.google.com/report-framed/reporting/0B_U5RNpwhcE6dnlOTGVsR3FsLWs/page/d8gG" style="border: 1px solid #bbb;" width="500">Combo chartsNew Combo charts allow users to create a line chart with a non-time-based dimension on the X-axis (previously only time-based dimensions were supported). The new component can plot a single dimension with up to 5 metrics, or 2 dimensions with a single metric. Learn more about Combo charts here. allowfullscreen="" frameborder="0" height="607" src="https://datastudio.google.com/report-framed/reporting/0B_U5RNpwhcE6dnlOTGVsR3FsLWs/page/j9gG" style="border: 1px solid #bbb;" width="500">Links in tabular data Tables in Data Studio reports can now display clickable links! This feature introduces a new type of interactivity, as viewers can now be redirected to to relevant content outside the report. To use this feature, report owners must use a data source containing a column of URLs. Data Studio will detect this column and assign it to the URL field type (if automatic detection does not work data source owners can also set the field type to URL manually). Learn more about this here. allowfullscreen="" frameborder="0" height="607" src="https://datastudio.google.com/report-framed/reporting/0B_U5RNpwhcE6dnlOTGVsR3FsLWs/page/S8gG" style="border: 1px solid #bbb;" width="500">Submitting and voting for new featuresThe Data Studio team will continue to introduce new features and product enhancements. Have a feature request? You can view requests submitted by other users, upvote your favorites, or create new ones. Learn more here.Posted by Alon Gotesman, Product Manager, Google Data Studio [...]



New Data Studio Data Control

2017-07-25T09:17:45.275-07:00

Today we’ve made it dramatically easier to view your Google Analytics data in Data Studio using the new Data control. When a report is created using the Data Control, all viewers can see their own data in the report, without creating anything.Check out these quick video to see this feature in action allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/-2BRwPOO3Uk" width="560">Try it out now! We added the Data control to these templates so you test it out with your data:  Overview ReportEcommerce TemplateThis feature is great if you:Are an agency or large organization with access to many Google Analytics views and do not want to create a Data Studio report for each view. For example, if you have a set of charts and data you monitor every day, you can now build a report in Data Studio with those charts and data, add the Data Control, and quickly go between any of the views you have access to, allowing you to monitor your entire business very fast.Are a large organization with many websites across: different brands, different regions, or different business units, and want to unify reporting and KPIs across your entire organization. Now you can build a template report in Data Studio, add the Data Control, and share the report across your organization. Every user will be able to see their data, in your curated report.The data control is public for all users.Read the Help Center for more details on how to use it.If you build an exciting report, please submit to our gallery, so we can showcase it.Posted By Nick Mihailovski, Product Manager, Data Studio  [...]



Ask a question, get an answer in Google Analytics

2017-07-18T09:19:09.133-07:00

What if getting answers about your key business metrics was as easy as asking a question in plain English? What if you could simply say, "How many new users did we have from organic search on mobile last week?" ― and get an answer right away?Today, Google Analytics is taking a step toward that future.  Know what data you need and want it quickly? Just ask Google Analytics and get your answer. This feature, which uses the same natural language processing technology available across Google products like Android and Search, is rolling out now and will become available in English to all Google Analytics users over the next few weeks. The ability to ask questions is part of Analytics Intelligence, a set of features in Google Analytics that use machine learning to help you better understand and act on your analytics data. Analytics Intelligence also includes existing machine learning capabilities like automated insights (now available on both web and the mobile app), smart lists, smart goals, and session quality.How it WorksWe've talked to web analysts who say they spend half their time answering basic analytics questions for other people in their organization. In fact, a recent report from Forrester found that 57% of marketers find it difficult to give their stakeholders in different functions access to their data and insights. Asking questions in Analytics Intelligence can help everyone get their answers directly in the product ― so team members get what they need faster, and analysts can spend their valuable time on deeper research and discovery. Try it! This short video will give you a feel for how it works: allowfullscreen="" frameborder="0" height="360" src="https://www.youtube.com/embed/Y_NrnMETM3c" width="640"> “Analytics Intelligence enables those users who aren’t too familiar with Google Analytics to access and make use of the data within their business’ account. Democratising data in this way can only be a good thing for everyone involved in Google Analytics!”Joe Whitehead, Analytics Consultant, Merkle | Periscopix Beyond answering your questions, Analytics Intelligence also surfaces new opportunities for you through automated insights, now available in the web interface as well as in the mobile app. These insights can show spikes or drops in metrics like revenue or session duration, tipping you off to issues that you may need to investigate further. Insights may also present opportunities to improve key metrics by following specific recommendations. For example, a chance to improve bounce rate by reducing a page's load time, or the potential to boost conversion rate by adding a new keyword to your AdWords campaign.To ask questions and get automated insights from Analytics Intelligence in our web interface, click the Intelligence button to open a side panel. In the Google Analytics mobile app for Android and iOS, tap the Intelligence icon in the upper right-hand corner of most screens. Check out this article to learn more about the types of questions you can ask today. Help us LearnOur Intelligence system gets even smarter over time as it learns which questions and insights users are interested in. In that spirit, we need your help: After you ask questions or look at insights, please leave feedback at the bottom of the card.Your answers will help us train Analytics Intelligence to be more useful.Our goal is to help you get more insights to more people, faster. That way everyone can get to the good stuff: creating amazing experiences that make cust[...]



MercadoLibre uses unique audience insights from Analytics 360 to raise ad RPMs by 60%

2017-06-14T08:00:23.669-07:00

Washing machines and welding masks, comic books and baby strollers: just about everything is for sale on MercadoLibre. It's one of Latin America's biggest e-commerce sites, with 130 million registered users and an average of 4.6 purchases made every second of the day. What better place for an advertiser to reach a huge audience with sure-fire purchase intent?To help their advertisers improve their programmatic direct campaigns, MercadoLibre used Google Analytics 360, part of the Google Analytics 360 Suite, to turn their first-party data into tailored audience segments."We want to help our advertisers do well," says Valeria Vinitski, Advertising Business Unit Director at MercadoLibre. "So we made use of our biggest media asset: our data. With over 150 million users, we have unique insights into the shopper journey. Integrating with DoubleClick for Publishers and Google Analytics 360 helped us create precise audience segments that are perfect for our clients' campaigns."MercadoLibre started by creating audience segments for popular product lines like cell phones, cameras, and cars, and then made those Analytics 360 segments available to advertisers. Advertisers using DoubleClick Bid Manager could then negotiate the impression volumes they wanted at fixed CPMs for each of their priority segments.With these Programmatic Guaranteed deals, advertisers are guaranteed reach and precision, as their ads are targeted to well-defined audiences that are more likely to buy their products. Ads can be tailored for each segment, boosting their effectiveness even more.The results have been a win-win all around. The new campaigns have produced revenue per 1,000 sessions (RPMs) that are 60% higher than standard campaigns. Thanks to this new premium audience strategy, programmatic deals now account for 35% of MercadoLibre’s programmatic revenue.MercadoLibre’s clients are also seeing great results. Magazine Luiza — one of the largest retailers in Brazil — found during a recent multi-publisher campaign that 23% of all its conversions could be attributed to MercadoLibre, and more than 25% of all revenue generated was from audiences exposed to the targeted Programmatic Guaranteed ads on MercadoLibre. The campaign drove a great deal of new customer acquisition for Magazine Luiza, with 40% of those new customers being first-time visitors."If we want to deliver better ad experiences, we need to use all our capabilities, data, and ad formats, no matter the sales channel," says Valeria. "Programmatic deals help us optimize our resources and save time while reaching marketing budgets from main brands that we otherwise wouldn't be able to gain."Your site may not have 150 million users (yet), but whatever its size, Analytics 360 can help you boost revenues. Curious to learn more? See the full MercadoLibre story.Posted by The Google Analytics 360 Suite team [...]



Solving the enterprise attribution challenge

2017-06-01T11:55:24.048-07:00

On Tuesday, we announced Google Attribution, a new free product to help marketers measure the impact of their marketing across devices and across channels. Our goal is to help every business, large or small, solve the attribution challenge and better understand if their marketing is working. To meet the needs of our largest advertisers, we’re also introducing an updated version of our enterprise attribution product, Google Attribution 360. Google Attribution 360Just like with the free product, Attribution 360 is easy to set up, works across channels and across devices, and makes taking action easy. Both products also offer data-driven attribution, which uses machine learning to determine how much credit to assign to each step in the consumer journey. In addition, Attribution 360 is designed to be highly customizable and can measure ads from DoubleClick Campaign Manager. This means that you can get a view of your marketing performance that matches up with how you view your business. The new version of Attribution 360 is currently in beta, and will launch more broadly later this year. Here’s how Attribution 360 is designed to solve the enterprise attribution challenge: Fast setupAttribution 360 offers seamless integrations with Google Analytics, DoubleClick Campaign Manager, DoubleClick Bid Manager, and DoubleClick Search. You’ll get all your marketing event data in Attribution 360 with no need for retagging and no data loss between systems. You simply link your accounts and reports will usually be available within 48 hours. “The setup process for Attribution 360 reduced the time to first data from 3 months to just a matter of weeks. Using Google Analytics data was so much easier, we already had our GA tags onsite and validated. It just made life so much easier.” - Eric Bernhard, Marketing Innovation Manager at DixonsFlexible dataAttribution 360 has a rich set of features to simplify the challenge of importing and managing your external data sources. You can ensure that your data is complete and correct with enhanced preview capabilities, in-product data quality reporting, and the ability to reprocess your data if you make changes to your setup. Measures TVThe TV Attribution feature within Attribution 360 helps businesses integrate digital and broadcast data to understand their cross-channel performance. Good news: TV Attribution is now included in Attribution 360 with no extra cost and is available directly in the Attribution 360 UI. Easy to take actionOf course the insights you get are only valuable if you can put them into action. Here are two ways Attribution 360 makes it easy: The in-product Digital Optimizer lets you explore a variety of optimization scenarios to inform future marketing investments and make your media more effective and efficient.Programmatic connectors send results directly to bidding platforms so your media buys use the most accurate attribution data.Here’s how one of our customers, Confused.com, uses Attribution 360 to improve their search advertising. Confused.com increases paid search conversions by 28% with Google Attribution 360Launched in 2001, Confused.com was the first insurance comparison site in the United Kingdom. This 100% e-commerce company helps people save money on car insurance and related services. Paid search is a critical part of Confused.com’s acquisition strategy. CEO Martin Coriat challenged his marketing team to improve paid search with data-driven insights. To [...]



Google Optimize and Surveys 360 Join Forces with AdWords

2017-08-28T15:00:48.283-07:00

Meet two new ways to understand and better serve your customers Here's good news for marketers: as you heard yesterday at Google Marketing Next both Optimize and Surveys 360 will soon be integrating with AdWords. The Surveys 360 integration is now live in the U.S. and Canada; the integration with Optimize will be available in the coming weeks.Optimize is an A/B testing and personalization tool that makes it easy to see which changes to your web pages work best for your users and your business. Surveys 360 is a market research tool that helps enterprises gather fast, reliable insights from real people online and on mobile.Why the new integrations? To make it easier than ever to understand and better serve your potential customers. Here's some detail on both.Better landing pages, better results Advertisers naturally spend a lot of time thinking about their ads. What gets people to click? Will the words "free shipping" sell more than "10% off"? AdWords has always made it easy to create many different ad campaigns to see which performs best. But the ad is only part of the experience.The new integration between Optimize and AdWords makes it easier than ever to take the next step: to improve and personalize the landing pages those ads lead to. The integration gives marketers a fast way to create and test custom landing pages based on the keyword, ad group, or campaign associated with an ad – with no need to deal with destination URLs or messy query parameters.It's worth it. 90% of organizations that invest in personalized consumer experiences agree that they contribute significantly to more business profitability. 1Suppose a hotel wants to improve its landing page for the keyword family friendly hotels. Using Optimize, the hotel can create and test a new variation of the landing page, one that features an image of a family enjoying themselves at the hotel pool, instead of a generic image of the hotel exterior. If the new page leads to more reservations, they've got a win. Then it's easy to keep testing headlines and images that might also do well. Target any combination of your AdWords account, campaign, ad group, and keywords directly in Optimize.The AdWords integration will be available for both Optimize and Optimize 360 and will be available to start using in the coming weeks. If you haven’t tried Optimize, you can get started for free here.Why not ask your customers? We all need faster insights these days. That's one reason we added Surveys 360 to the Google Analytics 360 Suite last year. Surveys 360 lets you ask questions directly to a pool of 15 million real people as they browse the web or use their smartphone. The results arrive in days, or sometimes in just hours.Now, what if you could combine that kind of speedy real-world feedback with the wealth of data that you already have in AdWords? Then you could understand both what users do and why they do it.  That's what we're announcing today: remarketing lists published in AdWords are now available in Surveys 360 for surveys targeting. That means you can survey the users on your remarketing lists to find out what worked best for them (or didn't).Want to know why shoppers abandoned their shopping carts? Ask them! Curious about how many customers converted due to your new free shipping offer? Ask them! Easily target your survey to remarketing audiences published in AdWords.Then change your marketing message on the spot to matc[...]



Making marketing easier with new tools for productivity

2017-05-24T09:56:38.555-07:00

This post originally appeared on the Inside AdWords blog.Mobile continues to raise the bar for marketers - as consumers increasingly reach for their smartphones to get things done, they expect fast and frictionless assistance. And to help them in these moments with more useful and personalized ads, you need scalable, easy-to-use tools that allow you to manage your marketing in smarter ways.This morning at Google Marketing Next, we shared the next generation of AdWords, DoubleClick and Google Analytics tools, each of them shaped by your feedback and built to help you work as productively and efficiently as possible.Below is a round-up!The new AdWords experience will be available to all advertisers by the end of the yearThe new AdWords experience marks the most powerful change we’ve made to how advertisers visualize and manage their campaigns in over 15 years. The redesign makes AdWords significantly easier to use to help you reach your unique marketing goals and get things done.Earlier this year, we previewed a few of the new tools and features in the new AdWords experience. This includes the new Overview page, which automatically surfaces relevant insights about your performance so you can take action more quickly.Here are some other new things to check out:Campaign creation                                   Build campaigns designed around your marketing goalsPerformance estimates                                                                              View performance estimates to help plan your display campaigns    Landing page report                               See how your landing pages are affecting campaign performanceSince rolling out the new AdWords experience, we’ve seen some inspiring results. We see that pages load much faster -- on average, 20% faster. Customers like iProspect North also reported that the new design and layout saves them 30% more time when completing everyday tasks.Starting today, we’re rolling out the new experience to millions of additional AdWords accounts and it will be available to all advertisers by the end of the year. Get started by reviewing our Best Practice guide.Better together: Google Optimize and Google Surveys 360 integrate with AdWordsYour marketing workflows should be seamless and integrated, from managing media to optimizing your site and collecting performance insights. This allows you to easily apply learnings from one step to another and take action faster. With new integrations for Google Optimize and Google Surveys 360 with AdWords, you'll be able to test landing pages and gain insights about your ads more efficiently.Available globally to all advertisers at no cost, Optimize helps marketers test and deliver custom site experiences to improve performance. With the Optimize and AdWords integration, you can quickly and easily create new versions of your landing pages and then apply them to any combination of AdWords campaigns, ad groups, and keywords – no coding or webmaster required. For example, on a summer beachwear campaign, test whether [...]