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Introducing the new Google Analytics

December 2, 2021 No Comments

Millions of businesses, large and small, rely on Google Analytics to understand customer preferences and create better experiences for them. With more commerce moving online and businesses under increased pressure to make every marketing dollar count, insights from digital analytics tools are even more critical.

But with major shifts in consumer behavior and privacy-driven changes to longtime industry standards, current approaches to analytics aren’t keeping pace. In a survey from Forrester Consulting, marketers said that improving their use of analytics is a top priority, and that existing solutions make it difficult to get a complete view of the customer and derive insights from their data.

To help you get better ROI from your marketing for the long term, we’re creating a new, more intelligent Google Analytics that builds on the foundation of the App + Web property we introduced in beta last year. It has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms. It’s privacy-centric by design, so you can rely on Analytics even as industry changes like restrictions on cookies and identifiers create gaps in your data. The new Google Analytics will give you the essential insights you need to be ready for what’s next.

Smarter insights to improve your marketing decisions and get better ROI

By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data – like products seeing rising demand because of new customer needs. It even helps you anticipate future actions your customers may take. For example, it calculates churn probability so you can more efficiently invest in retaining customers at a time when marketing budgets are under pressure. We’re continuing to add new predictive metrics, like the potential revenue you could earn from a particular group of customers. This allows you to create audiences to reach higher value customers and run analyses to better understand why some customers are likely to spend more than others, so you can take action to improve your results.

Google_Analytics_predictive_metrics.png

Churn probability in the Analysis module

With new integrations across Google’s marketing products, it’s easy to use what you learn to improve the ROI of your marketing. A deeper integration with Google Ads, for example, lets you create audiences that can reach your customers with more relevant, helpful experiences, wherever they choose to engage with your business.

The new approach also makes it possible to address longtime advertiser requests. Because the new Analytics can measure app and web interactions together, it can include conversions from YouTube engaged views that occur in-app and on the web in reports. Seeing conversions from YouTube video views alongside conversions from Google and non-Google paid channels, and organic channels like Google Search, social, and email, helps you understand the combined impact of all your marketing efforts.

Google_Analytics_YouTube_EVC_report (2).png

YouTube Engaged-view conversions in Analytics reports

Businesses taking part in the beta are already seeing benefits. Vistaprint, responding to rapid changes in their business at the start of the pandemic, was able to quickly measure and understand the customer response to their new line of protective masks. And Jeff Kacmarek, Vice President of Domino’s Pizza of Canada, found that “linking the new Google Analytics to Google Ads enables us to optimize around the actions that matter most to our customers, regardless of how they interact with our brand.”

A more complete understanding of how customers interact with your business

The new Analytics gives you customer-centric measurement, instead of measurement fragmented by device or by platform. It uses multiple identity spaces, including marketer-provided User IDs and unique Google signals from users opted into ads personalization, to give you a more complete view of how your customers interact with your business. For example, you can see if customers first discover your business from an ad on the web, then later install your app and make purchases there.

You’ll also get a better understanding of your customers across their entire lifecycle, from acquisition to conversion and retention. This is critical when people’s needs are rapidly changing and you have to make real-time decisions in order to win – and keep – new customers. Based on your feedback, we simplified and re-organized reporting so you can intuitively find marketing insights based on the part of the customer journey you’re interested in. For example, you can see what channels are driving new customers in the user acquisition report, then use the engagement and retention reports to understand the actions these customers take, and whether they stick around, after converting.

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New reporting structure organized by the user lifecycle

Built for the long term

Now is the time to invest in your digital marketing basics, like smarter analytics, so you can be ready for what comes next. This will also help you respond to rising consumer expectations, regulatory developments, and changing technology standards for user privacy. With a new approach todata controls, you can better manage how you collect, retain and use your Analytics data. More granular controls for ads personalization let you choose when to use your data to optimize your ads and when to limit your data use to measurement. And of course, we continue to offer users control over sharing their activity with Google Analytics.

Because the technology landscape continues to evolve, the new Analytics is designed to adapt to a future with or without cookies or identifiers. It uses a flexible approach to measurement, and in the future, will include modeling to fill in the gaps where the data may be incomplete. This means that you can rely on Google Analytics to help you measure your marketing results and meet customer needs now as you navigate the recovery and as you face uncertainty in the future.

The future of Google Analytics

The new Google Analytics is now the default experience for new properties and is where we’re investing in future improvements. We know there are capabilities many marketers need before fully replacing their existing Analytics setup, so we encourage you to create a new Google Analytics 4 property (previously called an App + Web property) alongside your existing properties. This will allow you to start gathering data and benefit from the latest innovations as they become available while keeping your current implementation intact. If you’re an enterprise marketer, we’re currently in beta with an Analytics 360 version that will offer SLAs and advanced integrations with tools like BigQuery, and will have more to share soon.

Google Analytics Blog


Access Google Surveys and Google Analytics 4 data in Data Studio

November 30, 2021 No Comments

Today, Data Studio users can access over 300 data sets in just a couple clicks. From Google Ads to BigQuery to your CRM data, you can spend more time finding and sharing insights and less time configuring data sources. With two brand new data connectors you can access even more data through Data Studio to help you analyze your marketing investments and make decisions. You can now access your market research data with our new Google Surveys connector and connect to the next generation of Google Analytics with support for Google Analytics 4 properties. 

Google Surveys give you a quick, cost-effective way to get valuable insights into the minds of your target audience. Gather the insights you need to make smarter, faster business decisions—in a fraction of the time it takes for traditional market research. With the new Data Studio integration, you can quickly visualize your Surveys data alongside your marketing data from sources like Google Ads and Google Analytics.

Google Surveys report in Data Studio

Google Surveys report in Data Studio 

We’ve made it easy to visualize your Google Surveys data. Simply click “View report in Data Studio” when you’re in Google Surveys to see your survey data in a template that you can customize and share in a couple clicks.

View your report in Data Studio in one click

View your report in Data Studio in one click

In addition to expanding access to Google Surveys, we’re also excited to announce support for Google Analytics 4 properties. You can now connect to your Google Analytics 4 properties in Data Studio along with your Universal Analytics properties.

Google Analytics 4 report in Data Studio

Google Analytics 4 report in Data Studio

Accessing the data you need to make better decisions is only the first step. Finding insights from the data and determining the best way to communicate the insights to stakeholders can be challenging and time consuming. We’re making it easier to get started with new marketing templates across common data sets like Google Ads, Search Ads 360 and more. You can find over 30 solutions to help you get started in the Data Studio gallery.

New Google Ads performance report in Data Studio solution gallery

New Google Ads performance report in Data Studio solution gallery

We are excited to hear how these new data connections and template solutions help you find insights and make decisions. Drop us a line in our community forum to let us know what’s working well and what you’re excited for next. 

Google Analytics Blog


How to Create a Filter to Tidy up Email Referrals

November 29, 2021 No Comments

Roll up Yahoo Mail, Hotmail referrals

If you send marketing emails without campaign tagging or an external company e-mail your sites links to its users that have Yahoo Mail or Hotmail, users will arrive at your site via one of the many Yahoo or Hotmail servers. So searching for mail.live.com in your referral report gives you hundreds of referrers which are actually one and the same referral link.

 

 

You tend to get referrals like above ( ”xy342w.mail.live.com”). You can roll these together so you can see hotmail referrals grouped together by making changes inside Google Analytics so that reports are clearer and easier to breakdown.

 

Login to Google Analytics; select your profile you wish to roll up this data. Select Admin > Profiles > Filters

 

 

The next step is to create a New Filter.

These Filter you need to create will be a custom filter that will look at campaign sources and replace/rename the string with something that rolls them up into an easy to view source.

Filter type: Custom Filter > Search and Replace

The filter field that will be searched will be the Campaign Source and in order to ensure that all possible variables of the email source are collected a regular expression will be needed.

Filter Field > Campaign Source

Search String > “A Regular Expression”

sn144w.snt113.mail.live.com will need the following regular expression

^.*mail\.live\.co.$

Replace String with the name you wish to roll it to. I have chosen livemail.

Select Save.

Example below.

Windows Hotmail/Livemail:

 

 

This is a guest post contributed by James Cornwall

About James Cornwall

As Digital Analyst at 4Ps Marketing, James is responsible for the recently launched analytics department. After studying Civil Engineering at CITY University, James has undertaken a career in ecommerce and digital marketing. He is Google Adwords and Analytics Certified, and in his spare time is a keen hockey player. Ask James a Question: Follow on Twitter – @jamesc_4ps LinkedIn – http://uk.linkedin.com/in/james-cornwall/

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A nonprofit finds volunteers with the new Google Analytics

November 28, 2021 No Comments

In the United States, almost half of our food supply is wasted. That’s enough to feed everyone who experiences food insecurity four times over. “In a lot of ways hunger is not a supply problem, it’s a distribution problem,” says Leah Lizarondo, cofounder and CEO of 412 Food Rescue, a Pittsburgh-based nonprofit organization seeking to close the gap between food surplus and food scarcity.

In order to successfully achieve their mission to reduce hunger by redirecting surplus food to people experiencing food insecurity, Leah and her team need to recruit volunteers to download the Food Rescue Hero app and complete a local food pickup and delivery, becoming what they call “Food Rescue Heroes.” As a growing nonprofit organization, 412 Food Rescue has limited resources, though, and relies on technology to save time and invest in the right places.

A cross-platform understanding of volunteers

Historically, measurement across 412 Food Rescue’s digital touchpoints had been a challenge for the nonprofit. Key data was siloed between their website and app, making it time intensive to get a complete understanding of how people were engaging with the organization online. With help from their digital analytics partner Bounteous, 412 Food Rescue turned to the new Google Analytics.

The new Google Analytics allows us to look at our data across platforms — web and app — to understand the full journey of our users. We’ve been able to cut our reporting time by 50%. Sara Swaney
Director of Advancement, 412 Food Rescue

With that time savings, the team at 412 Food Rescue has been able to improve their marketing and focus on engaging more volunteers in the community.

“In order to recruit more volunteers, we needed to know where people were learning about 412 Food Rescue,” Swaney says. With a view of user engagement across platforms and devices,  412 Food Rescue was able to easily discern where the majority of its volunteers discover the organization, and what their typical journey is to get started. The team was able to see that new users are most likely to accept a Food Rescue and become volunteers within 48 hours of downloading the app. As a result, they adjusted their social media campaigns to drive app downloads on Mondays and Tuesdays, when most Food Rescues are typically posted in the app. By facilitating Food Rescues that users can immediately act on upon downloading the app, 412 Food Rescue was able to improve the user journey and convert more users to volunteers.

Automated insights introduce a new set of learnings

With automated insights generated through machine learning, 412 Food Rescue has been able to save time analyzing data and spend more time taking action. They learned, for example, that there was a dip in volunteer engagement on weekends, an insight that had gone unnoticed. Because they had been proactively alerted to the change in Analytics, they were able to quickly respond by increasing their marketing efforts on weekends to boost engagement and address the demand for local deliveries on those days.

Greater impact despite limited resources

Even without a dedicated analytics team, 412 Food Rescue is able to easily get a deep understanding of their data and use it to shift their marketing strategy, grow their network of Food Rescue Heroes, and secure further investment to ultimately expand to more cities and achieve their mission to end food waste and hunger.

Get started with the new Google Analytics today.

Google Analytics Blog


Google AdSense Guide: increase earnings and escape low CPC

November 26, 2021 No Comments

30-second summary:

  • There are many factors that affect your AdSense performance right from content quality, ad placements, media selection, and so on
  • High traffic doesn’t directly indicate high earnings, in fact, some of your practices may be equivalent to handing out money to your competition
  • Here are six informed steps to help you earn more from AdSense

Throughout this guide, you’ll learn how to increase your Google AdSense earnings by making some very simple changes and by following a few simple tips. In my personal experience, this can help skyrocket your AdSense CPC and results can increase your AdSense earnings by more than five times.

Your aim and objective throughout should be to gradually increase your AdSense CPC and CTR little by little and by following these simple tips you are bound to see results.

Don’t forget to keep on testing and your AdSense earnings will surely increase over time. Just don’t give up quickly!

1. Content is king on the internet and also on AdSense

The reason content is placed at the top of all the other tips is because it is the single most important rule to follow on your journey through SEO and internet marketing. It is the first thing your visitors, advertisers, and bots (ad bots and crawl bots) will notice after coming to your webpage.

If you are providing your users with low quality or outdated content, Google will rate your website much lower and your CPC (the bids advertisers make to appear on your website) will greatly fall. This can also get you smart-priced, even if you generate quality traffic on low-quality content.

So remember, always provide your readers and visitors with something unique and worthwhile which will actually acknowledge rather than something which has already been posted on a thousand other websites.

2. Ad sizes and placements are decisive

Do not neglect the placement and size of your Google AdSense ads as they play an important into delivering a better user experience and thus, improving your AdSense earnings.

“While creating ad sizes and placements, user experience and ad viewability should be the center focus”, explained SEO expert Boris Dzhingarov, in an email interview.

“Some placements and ad sizes will disrupt users, particularly if they’re covering content. Others, however, will fail miserably as the users never see them leading to a decrease in AdSense revenues”, he added.

So the question now is: where should you place your ad and which of Google’s display ad sizes are best for your business? The answer is pretty simple, place two ads inside your blog posts (or content) and one outside the post. Keep one 336 x 280 large rectangle ad on the top of the blog post just below the title and place the second ad in the middle of the blog post as a 468 x 60 sized banner. The remaining unit can be placed to the right of your post inside your sidebar.

Position your AdSense ad units as such to not annoy your visitors by popping right in their faces. Instead, perfectly fit inside your content, or in positions that you aim to get more clicks from.

For example, a site that provides file downloads can have an AdSense Ad Unit right near the download link to get a High CTR.

3. Monitor and limit the use of AdSense ad units

Have you tried limiting the use of your AdSense ad units? The biggest difference I myself have noticed is that by reducing the ad units which had the lowest CTR you can quickly and easily increase your AdSense CPC.

What usually happens is if you don’t have enough content to support all the ad units is that lower-paying ads start showing on your websites. This may increase your click-through rate (CTR) and bring in more clicks but because the ads may not be relevant to your website (public advertisements). This results in your CPC falling and your AdSense earnings decreasing. If you are increasing your ad units ultimately you are making it easier for advertisers to be shown on your website meaning an even lower CPC (because of low bids).

Remove the low CTR ad units and replace them with the higher paying ad units which have a higher CTR and your earnings will rise automatically.

Trying these tips for a couple of days will make you notice a real improvement and an important increase in low AdSense CPC.

Google AdSense Custom Channels will be necessary to keep track of things. This will give you a precise and clear idea of the best-performing ad slots. Measure the CTR, CPC, CPM, and earning of every ad unit.

Create custom channels for every ad slot and monitor their performance for at least two weeks to get an idea of things. If you keep changing ad units too often without testing them thoroughly you might get inaccurate results and miss out on better opportunities by placing your ads elsewhere.

How this is going to help in increasing your AdSense CPC?

Remove the low-performing ad units from your website (Compare CTR and final earnings of different units). Google should now serve better ads to other remaining ad slots which are performing well, so your earnings and CPC will increase.

4. Enable both text and image, media-rich ads

Always enable both text and image ads on your websites. Never limit your ad visibility to ‘Only image/media-rich ads’ or ‘Only text ads’ as this will lower the bids for advertisers to appear on your website. This directly means low AdSense CPC.

If you enable ‘Both text and image ads’ AdSense will automatically show the ad with the highest bid on your website which means a higher CPC for you.

In short, the more advertisers that are bidding to appear on your website the higher your AdSense CPC will be.

5. Keywords, keywords, and more keywords!

Try researching to find keywords with ‘High AdSense CPC’ and a ‘High Search Volume’. Searched globally using the Google Adwords keyword tool. Search, search and search some more to find specific keywords which have low competition, high CPC, and high search traffic.

After researching you can start creating your website pages, blog posts, and articles on such high-value keywords. Always use these keywords naturally at the beginning, the middle, and the end of your content. It is also very useful to add them to your headings or tags.

Try not to bother with keywords that pay a few cents and those that have a low CPM. Ideally, I would recommend grabbing keywords with a CPC higher than $ 2.50.

This should be the most important part of your mission. You would never want a page that earns one dollar from five to 10 clicks. Rather you want a page that pulls an impressive four to five dollars out of just two ad clicks, or maybe even $ 40 dollars out of just eight clicks!

If you don’t concentrate on your keywords, even if you have a lot of traffic you will be wasting it and not earning a substantial amount. Imagine this as handing out money to your own competition! By targeting the right keywords you can make a lot more with a lot less traffic.

Research on the Google keyword tool today and increase your Adsense CPC and earnings.

6. Reduce fraud, accidental, and useless clicks

Do you have an ad unit placed near the top of your content that gets a high CTR? Can this also be because of the awkward location that some people end up clicking on your ad by mistake? When this happens, the visitors often back out or close the ad. This is counted by Google as either an accidental or fraud click.

You may temporarily get earnings from these clicks but they will most probably be reverted due to the low-quality nature of the click.

So always try to minimize any accidental or useless clicks on your AdSense ad units and NEVER ask your friends or family to click on your ads!


Jacob M. is a copywriter, marketing blogger, inbound marketing consultant, and founder of Write Minds. He can be found on Twitter @jmcmillen89.

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The post Google AdSense Guide: increase earnings and escape low CPC appeared first on Search Engine Watch.

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Conversion modeling through Consent Mode in Google Ads

November 25, 2021 No Comments

Last year, we introduced Consent Mode, a beta feature to help advertisers operating in the European Economic Area and the United Kingdom take a privacy-first approach to digital marketing. When a user doesn’t consent to ads cookies or analytics cookies, Consent Mode automatically adjusts the relevant Google tags’ behavior to not read or write cookies for advertising or analytics purposes. This enables advertisers to respect user choice while helping them still capture some campaign insights.

Without cookies, advertisers experience a gap in their measurement and lose visibility into user paths on their site. They are no longer able to directly tie users’ ad interactions to conversions, whether the users are repeat visitors or whether those users have arrived from paid or organic traffic sources. To help close this gap, we’re introducing conversion modeling through Consent Mode. This will help marketers preserve online measurement capabilities, using a privacy-first approach.

Now, Consent Mode will enable conversion modeling to recover the attribution between ad-click events and conversions measured in Google Ads. Early results from Google Ads have shown that, on average, conversion modeling through Consent Mode recovers more than 70% of ad-click-to-conversion journeys lost due to user cookie consent choices. Results for each advertiser may vary widely, depending primarily on user cookie consent rates and the advertiser’s Consent Mode setup.

How modeling fills in measurement gaps

Conversion modeling can help fill in blanks in media measurement at times when it’s not possible to observe the path between ad interactions and conversions. Conversion modeling through Consent Mode specifically addresses gaps in observable data from regulations on cookie consent in various regions. Conversion modeling uses machine learning to analyze observable data and historical trends, in order to quantify the relationship between consented and unconsented users. Then, using observable user journeys where users have consented to cookie usage, our models will fill in missing attribution paths. This creates a more complete and accurate view of advertising spend and outcomes — all while respecting user consent choices. Conversion modeling also upholds privacy by not identifying individual users, unlike tactics like fingerprinting which Google has a strict policy against.

Using modeling to probabilistically recover linkages between ad interactions and conversions that would otherwise go unattributed means more conversion insights for optimizing campaign bidding and understanding what’s driving sales. It’s important for any modeling approach to account for the fact that people who consent to cookies are likely to convert at a different rate than those who don’t.

Holistic measurement for your Google Ads campaigns

It’s important for advertisers to have accurate reporting so they can make their marketing investments go further. Advertisers using Consent Mode will now see their reports in Google Ads updated: for Search, Shopping, Display, and Video campaigns, the “Conversions,” “All conversions” and “Conversion value” columns will now include modeled conversions for consent gaps. All other Google Ads campaign performance reports that use conversion data will also reflect the impact from adding in modeled conversions.

Modeled conversions through Consent Mode will be integrated directly in your Google Ads campaign reports with the same granularity as observed conversions. This data then makes its way into Google’s bidding tools so that you can be confident your campaigns will be optimized based on a full view of your results.

Blue pie chart stating: On average, Consent Mode recovers more than 70% of ad-click-to-conversion journeys lost due to user consent choices.

For advertisers who want to optimize their campaigns based on return on ad spend or cost-per-acquisition, they can use Target Return on Ad Spend (tROAS) orTarget Cost Per Acquisition (tCPA) Smart Bidding strategies with Consent Mode. If you had previously adjusted targets to account for cookie consent changes, you can now go back to setting targets in line with your ROI goals. Note that you’re likely to see gradual improvements in reported performance as we recover lost conversions through modeling.

For advertisers who want to maintain their campaign spend, conversion modeling through Consent Mode also works with the Maximize conversions or Maximize conversion value Smart Bidding strategies in Google Ads. We recommend you make sure that the budget you’ve decided on is well-aligned with your spend goals.

Get started

If you’re an advertiser operating in the European Economic Area or the United Kingdom, have implemented Consent Mode and are using Google Ads conversion tracking, conversion modeling from Consent Mode is available for you today.

And if you aren’t using Consent Mode yet, you have two options to get started. You can implement it yourself on your website by following our instructions. Or if you need some extra help, we’ve partnered closely with several Consent Management Platforms, a few of which already take care of critical implementation steps on behalf of advertisers.

logos of Consent Management Platforms ready to take care of critical implementation steps

We are continuously adding new privacy-forward techniques to help our machine learning solutions better understand the aggregate behavior of non-consenting users, and offer actionable insights in reporting for deeper clarity on your marketing spend. We’ll be bringing conversion modeling through Consent Mode to other Google advertising products, like Campaign Manager 360, Display & Video 360 and Search Ads 360 later this year.

Google Analytics Blog


Future-proof your measurement with privacy-safe solutions

November 24, 2021 No Comments

Getting the most out of your marketing investments requires a clear understanding of what actions people take after interacting with your ads. In today’s evolving privacy landscape, growing your business calls for new approaches to measurement that preserve advertising performance and also put the user first. 

Now’s the time to adopt new privacy-safe techniques to ensure your measurement remains accurate and actionable. And while this can seem daunting, we’re here to help you succeed in a world with fewer cookies and other identifiers with new ways to respect user consent, measure conversions and unlock granular insights from your sites and apps. 

Here’s a preview of some of the product launches we’ll be sharing at Google Marketing Livestream on May 27th.

Easier options for working with consented data

Getting started with privacy-safe measurement requires building a foundation of first-party data. Investing in a strong tagging infrastructure helps you make the most of the data your consumers share with you and lets you accurately measure your campaign performance.

As consumers seek increased control over how their data is used, your methods for respecting their consent choices will also need to evolve. For advertisers operating in the European Economic Area and the U.K., Consent Mode helps you achieve this by adjusting how Google tags operate based on user consent choices for ads cookies or analytics cookies. When users don’t consent to cookies, Consent Mode will use conversion modeling to recover, on average, more than 70% of ad-click-to-conversion journeys, ensuring that you continue to measure the complete performance of your media in a privacy-safe way.

To make it easier for your website to integrate with Consent Mode, we’ll soon enable implementation directly from your Google Tag Manager account, where you’ll be able to modify and customize tag behavior in response to users’ consent preferences. Accurate measurement that accounts for people’s consent choices doesn’t have to be complicated, and our new solutions make sure that it isn’t.

More first-party conversion data means better measurement

A strong sitewide tagging and first-party data foundation enables measurement solutions to work together to collectively provide you with the most comprehensive reporting and optimization. Building on this foundation, we’ve developed an additional privacy-safe way to help you preserve accurate measurement when fewer cookies are available.

Enhanced conversions allow tags to use consented, first-party data to give you a more accurate view of how users convert after engaging with your ads. You’ll also be able to get the data you need to unlock performance insights, like conversion lift, and improve measurement in cases when your ad is shown on one device and the user converts on another. Your first-party data is hashed to protect user privacy and ensure security, and you’ll receive aggregated and anonymized conversion reporting. 

Advertisers currently testing enhanced conversions are already seeing positive results. U.K.-based retailer ASOS set up enhanced conversions across Search and YouTube to help them close measurement gaps due to browser restrictions and cross-device behavior. This enabled them to measure conversions that would otherwise not have been captured and improved return on ad spend (ROAS) with a recorded sales uplift of 8.6% in Search and 31% in YouTube.

Enhanced conversions helped establish a strong measurement foundation, off of which we can better measure the impact of our YouTube buys. Carolina Vicente
Media Investment Director, ASOS

Machine learning unlocks new insights in Google Analytics

In addition to using modeling for more complete conversion measurement and optimization, modeling can also help you get deeper customer insights from your behavioral analytics data. Last year we announced the new Google Analytics, which uses machine learning to surface relevant marketing insights, such as a significant change in your campaign performance or the likelihood of your customers making a purchase. 

Soon, we’ll extend Google’s advanced machine learning models to behavioral reporting in Analytics. For example, if there is incomplete data in your User Acquisition report due to cookies not being available, we’ll now use modeling to help fill gaps for a more complete view of the number of new users your campaigns have acquired. With or without cookies, you’ll be able to enhance your understanding of the customer journey across your app and website and use those insights to improve your marketing. 

Coming next

We’re continuing to invest in next-generation privacy solutions to help advertisers navigate ongoing industry changes and preserve accurate conversion measurement. 

You can find out the latest information about these new privacy-safe measurement solutions at Google Marketing Livestream 2021 on Thursday, May 27 at 8:00 a.m. PT / 11:00 a.m. ET. 

Google Analytics Blog


Respect user consent choices with Google Tag Manager

November 23, 2021 No Comments

More people than ever before are purchasing goods and services online, bringing new opportunities for businesses to reach a growing base of customers. At the same time, restrictions around cookies and identifiers are changing the ways businesses understand the customer journey.  We’ve heard from businesses that they need new, easy-to-use solutions to keep pace with these industry changes, especially solutions that will continue to provide critical insights on campaign performance, while maintaining user privacy.

At Google Marketing Livestream, we shared our belief that it’s possible to improve privacy while still delivering business results and highlighted a few solutions that help. For example, Consent Mode lets advertisers customize how Google tags behave before and after users make their consent decisions. Consent Mode also informs conversion modeling to help bridge any measurement gaps that may occur due to cookie consent choices.

Our customers have shared with us that they would like simpler ways to ensure that all tags on their websites respect cookie consent choices. To make this process easier, we’re unveiling a new consent experience in Tag Manager. Starting today, users of Tag Manager and Tag Manager 360 will be able to directly integrate with Consent Mode and easily incorporate user consent into the behavior of all tags on their website.

Integrate your consent management solution

If your business operates in a region that requires you to collect user consent for certain operations, like the European Economic Area or the United Kingdom, you may need a consent management solution. And if you’re using Tag Manager to manage all the tags on your site, you’ll need to integrate Tag Manager with the consent management solution you’ve selected. But integrating these two can be complicated and require changes to website code.

We’re making it possible to remove that integration step altogether. Starting today, consent management solutions can build tag templates directly into the Community Template Gallery using a new set of sandboxed JavaScript APIs that will work with Consent Mode. We’re also introducing a new trigger type, Consent Initialization, which enables tags that require user consent choice to fire before all other tags.

Let’s say you’re a clothing retailer operating in the United Kingdom. You’ve decided to work with a consent management solution to display a consent banner to your customers and want to integrate it with your Tag Manager account. If your consent management solution has a tag template available in the Community Template Gallery, you can now add it to your container. With the Consent Initialization trigger, this tag will deploy your consent banner as soon as someone lands on your website. This enables you to collect a user’s consent choice before other tags in your container load.

Benefit from consent support on all your tags

Last year we announced that tags for Google advertising and analytics products will respect consent choices for ads cookies and analytics cookies when Consent Mode is in use. But to control how other third-party tags behave for these and other types of user consent, many businesses have turned to a custom tag setup in Tag Manager, which can be difficult to implement and manage.

Now in Tag Manager, you’ll be able to see and customize each tag’s consent settings. You can see which types of consent each tag requires. For example, a specific tag may already be adjusting its behavior based on user consent for ads cookies. And you can specify whether any additional types of consent are necessary for the tag to fire, like requiring consent for analytics cookies. We’re introducing new consent types into Tag Manager as well. These consent types correspond to options you might include in your consent management solution. If a user does not give consent to the specific consent types you’ve selected for the tag, the tag will not run.

Image of “Consent Settings (beta)” section under “Advanced Settings” at the bottom of each tag configuration.

Add additional consent in order for your tag to fire

Many consent management platforms are already compatible with the ad storage and analytics storage settings. You can see a full list in our Help Center.

Gain a complete view of your tags’ consent settings

For a complete view of the consent settings across all the tags in your container, you can now enable a new Consent Overview from your container settings. Once enabled, this overview will be available from the Tags screen. From here you can also manage consent settings in bulk, like adding a personalization storage consent type to multiple tags at once.

GIF of opening the Consent Overview screen and bulk editing tags’ consent requirements.

Access the Consent Overview and manage consent settings in bulk

All of these capabilities are available in beta in all Tag Manager and Tag Manager 360 accounts today. These updates will help you preserve online measurement while respecting user consent choices. Stay tuned for more information on other privacy-safe measurement solutions that we announced today.

Google Analytics Blog


How to View the Visitor Flow of Specific Pages in Google Analytics

November 21, 2021 No Comments

Open Visitor Flow Report Under “Audience” menu open in “Standard Reports”. See below.  This view will give you the visitor flow for the complete site.

Left click on the page that you want the visitor flow for and select “Explore traffic through here” from the menu.

Now you have the visitor flow for that page (see below)

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How to View Click Map of a Page in Google Analytics

November 20, 2021 No Comments

Click maps are a great way to visually see where visitors are clicking on a page. Google Analytics provides click map under Content –> In-Page Analytics (See below).

Click on In-Page Analytics and the first page that you will see is your site’s home page. To view a different page, either click on a link on the home page (still within In Page Analytics) or select a page from drop down available on top left (see below).

Other options

  • Select click, goal value or a goal to display on click map and also a threshold from the drop down next to it.
  • Show Bubbles – this shows the orange bubbles and the numbers that you see in the report. This is the default view, when you first land on the page.
  • Show Colors – this options add another visual to the way you view click map, it is sort of heat map of clicks.
  •  Browser Size – This options show what percent of your visitors who see the area displayed in your report. By choosing this option you get a slider that allows you to slide and choose percent of visitors. As you choose the visitor percent, the page resizes to show the area of the page, those percent of visitors see.

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