Tuesday, September 18, 2018

Advanced Digital Analytics workshop at DA Hub on Oct 17th



I will be conducting a full day advanced digital analytics class at DA Hub in Austin on Oct 17th.

Do you have experience with influencing business change? Are you ready to move into reflective analysis that drives real return on investment for your company? Want to advance your career prospects? This course will help you deliver all of that.

This interactive full day advanced digital analytics course will give you practical tools to elevate your analytics skills. It will also help you transition into a thought leader within your organization. 

Building upon the Fundamentals of Digital Analytics, this course encourages participants to critically examine methods and metrics in ways appropriate for their specific business model.

Learn how to effectively communicate analytical data, best practices for site and campaign design, and examine campaign performance standards from the CFO perspective using control groups and simple predictive models.

Upon completion of this course, participants will be able to:

  • Define gaps between measurement practices and business goals for the company 
  • Create a framework for standardizing the evaluation of current performance measurements for website, search, display, email, affiliate and social channels.
  • Understand how to effectively measure campaigns
  • Understand how to find right opportunities for improvement and optimize them
  • Provide feedback on the design, execution, and outcomes of testing efforts 
  • Manage a results-oriented analytical culture adept at driving business change 


The course follows the Digital Analytics Association's syllabus and is endorsed by it. Participants will be awarded six Professional Development Units (PDU) towards their DAA Certified Web Analyst certification renewal credit.



This works shop will be held in Austin, TX on Oct 17th along with DA Hub. Register at https://www.digitalanalyticshub.com/us_2018/anil_batra?reg_type_id=19719

About DA Hub

DA Hub is bringing together top analytics professionals for in-depth idea exchange. Leading digital analytics and optimization practitioners come from across the US to discuss and share the latest developments, challenges and opportunities in the industry. It is a unique opportunity to be part of the conversation. With over 50 huddles to pick from, run by the industry’s foremost practitioners and only 160 places available, you should book your place for this year’s event to meet, learn, share and network.  Get details at https://www.digitalanalyticshub.com/us_2018/home?reg_type_id=19719


Saturday, August 18, 2018

23 Email Marketing Metrics That You Should Know

A while ago I wrote a post on Measuring Online Display Advertising. Continuing the theme, in this post I am describing 23 metrics for measuring email marketing.

Get this article as an eBook at Global Analytics Academy.
  1. Sent: The numbers of emails (generally unique email address) that were sent. This number excludes any suppressions that occurs due to business rules, privacy compliance etc. Your email service provider (ESP) will have these number as a standard metrics in their reports. This is a raw metrics that is used to calculate other email performance metrics and is generally of low value by itself so should not be used as a Key Performance Indicator (KPI). A trending of this metric overtime can provide you a view into the health of your marketing list.
  2. Delivered is a count of emails that made their way into the recipient inbox. If an email was rejected by the recipients email provide then it is not counted as delivered. If an email shows up in junk folder, it is still counted as delivered. Your email service provider will have these number as a standard metrics in their reports. This is a raw metrics that is used to calculate other metrics. A trending of this metric overtime can provide you a view into the health of your marketing list. Delivery rate (described below) is a better indicator of Delivery issues than the raw number. This metrics by itself is not a KPI but forms a basis for other KPIs.
  3. Delivery Rate – It is calculated as Emails Delivered divided by Emails sent, expressed as a percentage is Email Delivery Rate. Delivery Rate measure the quality of your email list, goal is to have 100% delivery rate, but I can guarantee that it is not going to happen. Any deviation from 100% should be investigated to see what is causing the issues. If there are some hard bounces (see below) then those should be removed promptly. Too many hard bounces can lead to spam triggers and further delivery issues.
  4. Bounce – An email is considered a bounce when it cannot be delivered to the intended email address. There are two types of bounces – Hard Bounce and Soft Bounce. Hard bounce generally means that the email address is wrong or no longer exists. Soft Bounce generally means that the addresses exists but either the inbox is full or is having temporary issues, the message is too large to deliver etc. You should immediately remove Hard Bounces from your email list since they are dead and you will never be able to deliver an email to them. Raw number of bounces should not be used as a KPI.
  5. Bounce Rate – Bounce rate is measured as Bounces divided by emails sent, expressed as a percentage. It is exact opposite of Delivery Rate. (Note: this should not be confused with the Landing Page Bounce Rate)
  6. Total Opens: Total opens measure the number of times your email has been viewed by the recipients. It gets counted when a recipient opens the email. Emails use a small invisible pixel (image) that gets loaded every time an email is viewed, the loading of this invisible pixel is counted as an open. Few things to keep in mind
    1. Any recipient who have disabled the images will not be counted in the open metrics since the invisible pixel won’t be loaded.
    2. Any recipient who has preview pane open will be counted as open as the emails gets loaded in preview pane enough though the person might not actually open it.
    3. Multiple views by same respondent will increase the open count, one for each view (open).
  7. Unique Opens - This measures the number of unique recipients who opened the email. Unlike Total opens, multiple views (opens) by a same recipient will be counted as one unique open.
  8. Total Open Rate – This measure the effectiveness of your subject line and your brand (shown in from column of email) in driving people to open the emails. Email open is the first action by user in their journey to engage with your email. This metrics is calculated as Total Opens divided by Delivered, expressed as percentage.
  9. Total Clicks or Clicks - Total number of clicks on any link in the email is counted in this metric. Keep in mind that a click does not mean that a person landed on the intended destination of the link hence you will likely see a discrepancy in this metric, as shown by your ESP, and the number shown in your Web Analytics tool. There are multiple factors that could lead to a click but not a visit to the destination. If one recipients clicks on multiple links then each click is counted in this metric.
  10. Unique Clicks – Unique Click counts the number of unique recipients who clicked on one or more clicks. Unlike Total Clicks, Unique clicks counts each person only once, no matter how many links that person clicks.
  11. Click to Open Rate – It measures how effective your newsletter content is in driving people to take actions. It is calculated as Unique Clicks divided by Unique Opens, expressed as a percentage.
  12. Total Click Through Rate – It is calculated as Clicks divided by Delivered, expressed as a percentage. If a person clicks on 2 links then the number of clicks will be 2. Considering that one person (email recipient) can click multiple links in the email, this number can potentially go over 100%.
  13. Unique Click Through Rate – It is calculated as Unique Clicks divided by Delivered, expressed as a percentage. Even if one person clicks on multiple links, only one click is counted in this calculation. Keep in mind that if someone talks about Click through Rate then they are referring to this metrics. This is also used for industry benchmarking by various vendors.
  14. Email Conversions – Email Conversion is defined as the count of action that you want the visitors to take when they arrive as a direct result of a click on the email. Some examples of conversions are – purchase, download a whitepaper, sign up for an event etc.
  15. Conversion Rate – It is calculated as Number of Email Conversions divided by Delivered, expressed as a percentage. Some vendors use the sent metrics as denominators and in some organizations I have seen the Unique clicks (visits in the Web Analytics tools) used as the denominators. (also see, 21 Metrics to Measure Online Display Advertising)
  16. Unsubscribes – Number of emails recipients who chose to unsubscribe from your future mailings. This number is available in your ESPs report.
  17. Unsubscribe Rate – Unsubscribes Rate is calculated as Unsubscribes divided by Delivered and is expressed as a percentage. It measure the effectiveness of your email marketing strategy and the quality/relevance of your email marketing. If this number continues to rise, you have a problem that should be immediately fixed. The fixes range from adjusting the email frequency to increasing the relevance of the message.
  18. Email Complaint or Spam Complaint – Number of email subscribers who have marked your emails as Spam. This number is readily available in most of the ESP. SPAM complains can totally kill your email marketing so this number should be watched closely and steps should be taken to ensure that you have users permission to market and are sending the relevant messages at the right frequency. This number should be available from your ESP
  19. Email Complaint Rate/Spam Complaint Rate Number of emails complaints divided by total emails delivered, express as a percentage.
  20. List Growth Rate – Measures, how fast your email list is growing, it is the net results of new subscribers minus the unsubscribes and email/spam complaints. You have to make sure that your list continues to grow rather go in negative direction. Growth (new subscribers – unsubscribes- email complaints) divided by total list size is your growth rate. Your email marketing program depends on List Growth so watch this number closely and take actions to actively grow your email list.
  21. Forward Rate/Share RateThis measures the emails forwarded (shared) by your recipients to their friends/contacts. It is calculated as number of forwards divided by number of emails delivered and is expressed as a percentage. It provides a view into the effectiveness of your email in not only engaging your recipients but also driving new subscribers, people who become of your brand as a results of receiving emails from their friends. This number is available in some ESPs.
  22. RevenueThis measures the Revenue generated as a direct results of email. Several version of Revenue as a KPI are
    1. Revenue Per Sent – Revenue attributed directly to the email divided by number of emails sent. This is also sometimes expressed in terms of Revenue Per 1000 (RPM).
    2. Revenue Per Click - Revenue attributed directly to the email divided by number of unique clicks.
    3. Revenue Per Open ­ - Revenue attributed directly to the email divided by number of unique opens.Revenue numbers won’t be available in your ESP but can be tracked in Web Analytics tools for online sales.
  23. CPM – CPM stand for Cost Per Mile (1000 in Latin). This is generally used when you rent/buy emails list from third parties. It is the cost of renting 1000 email address and is calculated as (Cost/Emails)*1000. This rate should be provided to you by the vendor from whom you are renting the list. If not provided then you can use the above calculations.
Get this article as an eBook at Global Analytics Academy.

Here are few more email marketing posts that you will like:
  1. One costly email mistake that you can easily fix Growing email list is a hard job. All you Growth hacking goes down the drain when you make a simple mistakes that costs you subscribers that you just gained. This posts you one such mistake and how to fix it.
  2. Email Personalization Not Working? Read This This posts explains why the email personalization might not work. The bottom line is that you have update your personalization criteria over time and test it.
  3. 3 Techniques for Expanding your Email Reach Email marketers are facing a tough time with growing emails remaining unopened and unsubscribes. Acquiring new subscribers using old techniques is expensive. In this post I have listed 3 techniques that you can use to spread the word of your emails/newsletters beyond the email list that you are sending the emails to.
  4. Are You Depleting Your Email List? Email marketers, in order to maximize short term conversions, often bombard irrelevant emails in subscribers inbox However this short term mentality results in erosion of long term viability of their email marketing, due to increase in unsubscribes causing depletion of email lists.
  5. 15 Things to Test in your Email Campaign This post talks about 15 things you can test today.
  6. Targeting Cart Abandonment by Email Targeting Cart Abandonment is a great way to drive conversions however, use incentives/offers cautiously.
  7. Conversion Tip: Making the Most of the Email Confirmation Thank you Page Use your Confirmation page effectively, this posts shows an example of a good page and a not so good page.
  8. Number One Email Marketing Mistake Number one mistake marketers make with email marketing is to send “Irrelevant” messages to their customers. Find out why this strategy has a far-reaching impact on your email marketing program.
  9. 7 Ways to Create Relevancy in Emails 7 tried and tested ways of creating relevancy in emails are described in this post.
  10. Relevancy Matters in Email Marketing This post shows an example of an email that missed the opportunity to convert.
Get this article as an eBook at Global Analytics Academy.


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Thursday, August 02, 2018

Google Tag Manager Workshop in Seattle, WA

I will be conducting a full day Google Tag Manager Workshop in Bellevue (Seattle),  Come and learn how Google Tag Manage works and how you can start it to use it for your business.
After this class, you will know how to confidently use Google Tag Manager and deploy Google Analytics and Facebook pixel.


Date: Sept 17th
Time: 10 AM – 4:00 PM
Location: 3600 136th Pl SE # 300, Bellevue, WA 98006
Pricing
$699 – Before Aug 15th (Early Bird)  - Save $100 - Signup now
$799 – After Aug 15th


This is a great opportunity for you to remove your fear of Google Tag Manager, and get trained so that you can use it with confidence.
What will this training cover?
This course will cover every thing you need to know to start using Google Tag Manager with confidence. Covers the latest version of Google Tag Manager (2018). I am very confident that you will love this course.

Here is what some of the students of my online class are saying:

Troy – AWESOME COURSE! I bought like 4 courses (including stuff for google tag manager) on udemy to teach me this and NOTHING came close to what Anil delivered in this course! I don't usually rate courses and place comments but I will make an exception in this case. Phenomenal class, covers everything, & well worth the money!

Ashish Batra – Initially I wasn’t sure if I should subscribe to this course or not as I usually buy courses with 100+ reviews. I am glad I purchased it. Anil has done a fantastic job in this course. If you are a technical marketer, you must do it. Previously, I have done some other GTM courses and watched youtube videos. But this course is definitely among more practical courses and added value to my existing knowledge. p.s. Coincidentally, I share last name with instructor, but we aren’t related 

Kate Proyka –  The course is well structured, clear and covers all elements of the tool. There are several examples which can be easily implemented and make sense.
Bryan Bloom – I already love love this course. It is at the correct speed and amount of explanation. I was so scared of GTM and now I am learning it and loving it!!!
In this course you will learn
  1. Fundamentals of Tag Manger (Applies to any tag manager)
  2. Signing up for Google Tag Manager
  3. Details of Google Tag Manager Interface
  4. How to setup Google Tag Manager for Google Analytics and track page views
  5. How to setup external link tracking as Events in Google Analytics via Google Tag Manager
  6. How to setup Button click tracking in Google Analytics
  7. Track JavaScript errors using GTM
  8. Deploy GTM in Wodpress
  9. Use Data Layer in Google Tag Manager
  10. Facebook Conversion and Re-targeting Pixel
  11. Facebook event tracking
Note: You will need basic understanding of HTML and JavaScript to use some advanced tracking using GTM.


Sunday, July 22, 2018

All That Bounces Is Not Bad

If you have any connection with web analytics then, I am sure, you have heard about the bounce rates (see Bounce Rate Demystified and Typical Bounce Rates). A lot of analysts and a few web analytics tools are obsessed with the bounce rates. High bounce rate is considered bad. If you are one of those who is obsessed with the bounce rate or think that all that bounces is bad then this blog post is for you.

This post was originally published on 10/28/2009.  After 9 years of writing this post, I still get questions about Bounce rate that are answered in this post so I am updating to make this post live again.

I do believe that bounce rate is a great starting metrics when you are trying to optimize your site but be careful and make sure that you are measuring the true bounce rate. Below are the three factors that lead to the misreporting of the bounce rates
  1. Links to external sites - Many sites have links to the external sites such as sponsors, micro sites etc. Considering those external links as exits will count visits as bounces even though the visitors are doing exactly what you want them to do (e.g. click on those links that you provided them). See below a screen shot from First Tech Credit Union, there are few external link s contributing to the bounces.


  2. Online Ads – If you serve ads on your site you are providing links to external sites. Visitors who land on your site, see an ad that grabs their attention are going to click on it (isn’t that what you want so that you can command higher rates for the ads?). It is not really a bounce because visitors are taking the action that you want them to take. See the screenshot from Techcruch which is full of ads and I bet this page (and other article pages) has a very high bounce rate.
  3. Destination Pages – Pages that provide the information that the visitors are looking for is what I call destination pages. Usually you will see the visitors arriving from bookmark or search to the internal pages on your site that provide the visitors with the information that the visitors are looking for. Since those pages serve the visitors’ need you are likely to see high bounce rates on those pages. Those bounce are not bad. Some might argue that you should try to drive visitors into the other sections of the site but I can bet that in most of the cases you won’t see significant drop in bounce rate no matter how hard you try. Below is an example of a page on First Tech Credit Union that could have a very high bounce rate. I arrived at this page by searching for the “Phone number for First Tech in Redmond”. When I arrived on this page I got what I was looking for and I bounced.

Are you considering these factors when analyzing the bounce rates on your site? Questions? Comments?

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Wednesday, July 11, 2018

Retargeting 101

This post was originally posted in July 2009. I am updating it again as this is a topic that I get asked a lot lately and I have also recently launched a new course on the topic. In the course I cover Retargeting Fundamentals and how to do retargting on Facebook. (purchase course on Udemy or on Global Analytics Academy) and will be releasing the one on Google soon.


According to Wikipedia
Behavioral retargeting (also known as behavioral search retargeting, or simply, retargeting ) is a form of online targeted advertising by which online advertising is delivered to consumers based on previous Internet actions that did not in the past result in a conversion.


How does it work?

You visit a site, look at some products, maybe add some of the products to the shopping cart but then decide not to buy them because you need some more time to think about it. You close your browser and are done for the day. Next morning you go back to your computer and browse to a news site. As the page of that site loads so does an Ad that is from the site that you visited yesterday (where you looked at some products but did not buy)


Example

Neel visited Sketcher’s site (They engage in retargeting - http://www.mediapost.com/publications/?fa=Articles.showArticle&art_aid=109038. He looked at few shoes, added one to his cart but then decided that he is going to look some more before he buys them. He was tired after long day so he decided to logoff from his computer and takes some rest.

Few minutes later he gets back on his computer but before he goes and checks more shoes, an article about online privacy in an email catches his eyes so he clicks on the link to open the webpage to read that article. As he browses to that article on NYTimes.com, he sees an ad from sketchers on that same page. The page content has nothing to do with the shoes but the person reading it has. Sketchers is retargeting to bring back the visitor who had left the site (sketchers.com) without converting (purchasing). The main idea behind retargeting is to reinforce the brand message and bring the visitors back to the site so that visitor can convert and become customers.




Shopping at Sketchers.com




NYTimes Serves Sketchers Ad


How does it work technically?

When a visitor visits a site (sketchers in this case), the site (sketchers.com) runs a JavaScript from a 3rd party ad network or an ad exchange, which (the JavaScript)then drops a cookie on the visitor’s computer. This cookie is usually anonymous i.e. it contains an identifiers to identify the visitor (computer) but does not know any personally identifiable information such as name, phone, email etc. of the visitor. As the visitor browses the site this JavaScript can collect the information about visitors browsing behavior and then tie it back to the cookie. All an ad network (3rd party) knows that cookie id 123ABC67NBZ looked at some product, put them in shopping cart and then left without completing the purchase. Most likely, it does not know that cookie id 123ABC67NBZ belongs to Neel (some retargeting products now are tying PII information too but most of them are still anonymous).

If the visitor then browses to another sites on the internet (NYTimes.com in this case) which also has a relationship with that same ad network (the relationship between sites and ad network gets complex but that’s beyond the scope of this post) i.e. this other site also has a JavaScript from that same ad network on their pages then that JavaScript(on a page on NYTimes.com) can read the previously set cookie to identify the visitor. By reading the cookie, the Ad Network knows who this visitors (computer) is (anonymously) and what sites this visitor (computer) was on, what products he looked at and if he abandoned the shopping cart or not and then serve up an appropriate retargeting ad.


Related Post
Behavioral Targeting 101

Purchase Retargeting course

Need help with Retargeting?  Contact me at batraonline@gmail.com


Sunday, June 10, 2018

21 Metrics for Measuring Online Display Advertising

In this post I am listing the 21 metrics to measure the success of your display advertising.  Most of these are also applicable, with some variation, to other forms of advertising such as Paid Search, Social Media Ads, Print and email. I will cover these other channels and mediums in the future posts.

Note: This post was originally posted on 5/18/2014.
On demand by readers, I have converted this post into an eBook that can be downloaded at Global Analytics Academy  - Download eBook at https://global-analytics-academy.teachable.com/p/21-metrics-for-measuring-online-display-advertising


  1. Impressions – It is the number of times your ad is displayed. The number by itself does not hold much value but it is a metric used to calculate other metrics and KPIs. Keep in mind that an impression does not mean that someone actually saw the ad, it just that the ad was shown on a web page/app.
  2. Reach –This is the number of unique people (generally identified by cookies) that were reached by your ad. This number is always lower than the impressions because your ad is generally shown to same person (cookie) multiple times.
  3. Cost – The total cost of running the ad campaigns.  This is calculated differently by different tools and organizations. Some use actual media cost while other use a fully load number that includes the agency cost, creative cost etc. Whichever number you use, be consistent in your approach. If you are going to do comparisons with CPC models such as Paid Search then I suggest using the actual media cost. Most of the publicly available benchmarks are based on actual media cost and are expressed in CPM (explained later in this list).
  4. Engagement Rate or Interaction Rate– This applies to the Rich Media Ads, where a user can interact with the ad without leaving the Ad unit/widget.  Engagement Rate is the percentage of interactions per impression of the ad unit and is calculated as (Number of Interactions/Total Impressions)*100%.
  5. CPM – This is the cost for 1000 Impressions of the ad unit. Display advertising is generally sold on CPM basis. (For more information on CPM, see  Cost of Advertising: CPM, CPC and eCPM Demystified).
  6. Clicks – Number of clicks on an ad unit that lead to a person leaving the ad unit.  Keep in mind that a click does not mean that a person landed on the intended destination of the banner ad click. There are multiple factors that could lead to a click but not a visit to the destination (I won’t cover those here but am happy to discuss over email or a call).
  7. CTR (Click though rate) – It is the number of Clicks generated per impression of a banner ad. This number is expressed as a percentage. CTR = (click/impressions)*100%
  8. CPC – Cost per Clicks is the cost that you pay for each click.  Generally, display advertising is sold by CMP (see above), you can easily convert the cost in to Cost Per Click to compare it against other channels such as paid search. Cost per click is the effective amount you paid to get a click.  It is calculated by dividing the cost with number of clicks.  CPC = Cost/Clicks. Sometime this number is also referred as eCPC (effective Cost per Click).
  9. Visits – As stated above in the definition of clicks, not every click turns into a person landing on your destination (generally your website). Visits measures the clicks that did end up on your site.  (For more definition of visits, please see Page Views, Visitors, Visits and Hits Demystified)
  10. Visitors – Visitors metric goes one step ahead of the visits and calculates the number of people (as identified by cookies) who ended up on your site as a results of the clicks on the banner ads.
  11. Bounce Rate – Is the percentage of visits that left without taking any actions on your site. It is calculated as Number of Visits with one page view /Total number of visits resulting from the display ads. (Bounce Rate Demystified for further explanation).
  12. Engaged Visit Rate – Generally this is opposite of bounce rate (though you can have your own definitions of engagement).  It measure the quality of the visits arriving from your display advertising. You can calculate Engaged Visits as  (100 – Bounce Rate expressed as percentage).
  13. Cost/Engaged Visit – This is effective cost of each engaged visits. It is calculated as total Cost divided by number of engaged visits.
  14. Page Views/Visit – Page views the number of pages on your site viewed by each visit. With a lot interactions happening on one single page, this metrics is losing its value. However, for now, it is still a valuable metric for ad supported sites.
  15. Cost/Page View – As above, this is valuable metrics for ad supported site to figure out the cost of generating on extra page view.
  16. Conversions – Conversion is defined as the count of action that you want the visitors to take when they arrive from you display ads. Some examples of conversions are – purchase, signup for newsletter, download a whitepaper, sign up for an event, Lead from completions etc.
  17. Conversion Rate  – This is the percentage of visits that resulted in the desired conversion actions.  Conversion Rate = Total conversions/visits*100. If you have more than one conversion actions then you should do this calculation for each one of the action as well for all the actions combined.  In case of Leads, you can take it one step further and calculate not only the “Leads Generation Rate” (Online Conversion Rate) but also Lead Conversion Rate, which is, Leads that convert to a customer divided by total leads generated.
  18. Cost per Conversion – This is the Total Cost divided by the number of conversions achieved from visits coming via display ads.
  19. Revenue – This is total revenue that is directly attributed to the visits coming from display advertising. It is pretty straightforward to calculate in eCommerce but gets a little tricky when you have offline conversions.
  20. Revenue per Visit   – Shows the direct revenue achieved per visit originating from the display advertising. It is calculated as Revenue Generated from Display Ads divided by the total Visits.
  21. Revenue per Page – This is useful for ad supported business models. This is sometimes expressed as RPM (Revenue per thousand impressions of ads) = (Total Ad Revenue/Number of page views) * 1000
Note: In addition to Clicks, you can also looks at View Through and calculate your other related metrics by view through.  View Through is sum of all the cookies that visited a page that showed your ad on it, and then landed on your site. The assumption, in this calculation, is that you landed on the brands site because of that ad exposure.

 Where can you get these metrics from?
  • Impressions, Reach, Cost, Engagement Rate, Clicks, CTR and CPC data is available from your agency or ad server tool.
  • Visits, Visitors, Page Views, Bounce Rate, Engaged Visit Rate, Conversion, and Conversion Rate are available in your Web Analytics tool.
  • Revenue is available in either your Web Analytics tool or other offline sales database.
  • Cost/Conversion, Cost/Engaged Visits, Cost/Page view and Revenue/page are calculated using data from multiple tools.
Questions/Comments?

Thursday, April 26, 2018

Google Tag Manager (GTM) Training - From Zero to Hero - Online Course and In-Person Workshop

New to Google Tag Manager or struggling with some tag implementation? This course will cover every thing you need to know to start using Google Tag Manager with confidence.

This course, Google Tag Manager (GTM) Training Course - From Zero to Hero is the Highest Rated GTM course on Udemy.


Here are three options for you to take this course
  1. GTM Course on Udemy - Take it online at your own pace - Click here for a coupon
  2. Bundle of Online Courses - Signup for a bundle of my course on Global Analytics Academy - You get GTM course + many more and all new courses I add for one low yearly price.
  3. In-person workshop - I will walk you through step by step. Contact me at batraonline@gmail.com to find out in-person classes schedule.





Here is what some of the students are saying:

Ashish Batra - Initially I wasn't sure if I should subscribe to this course or not as I usually buy courses with 100+ reviews. I am glad I purchased it. Anil has done a fantastic job in this course. If you are a technical marketer, you must do it. Previously, I have done some other GTM courses and watched youtube videos. But this course is definitely among more practical courses and added value to my existing knowledge. p.s. Coincidently, I share last name with instructor, but we aren't related :) 
Kate Proyka -  The course is well structured, clear and covers all elements of the tool. There are several examples which can be easily implemented and make sense.
In this course you will learn
  1. Fundamentals of Tag Manger (Applies to any tag manager)
  2. Signing up for Google Tag Manager
  3. Details of Google Tag Manager Interface
  4. How to setup Google Tag Manager for Google Analytics and track page views
  5. How to setup external link tracking as Events in Google Analytics via Google Tag Manager
  6. How to setup Button click tracking in Google Analytics
  7. Track JavaScript errors using GTM
  8. Deploy GTM in Wodpress
  9. Use Data Layer in Google Tag Manager
  10. Watch this description for more examples coming soon.
New tracking examples added based on student demand - if something is not covered, let me know and I will show you how to do it in Google Tag Manager.
Note: You will need basic understanding of HTML and JavaScript to use some advanced tracking using GTM.

Why you should learn from me?

I have been in Digital Marketing and Analytics for over 15 years. I have trained people from diverse backgrounds and have converted them into high performing Digital Marketers and Analysts.  I understand both the technology and marketing side of business.  I have dealt with many analytics technologies way before Google Tag manager existed and know the inner working of Digital Analytics.
In addition, I have developed various course and taught students from all over the world. I am online instructor for University of British Columbia (Canada), University of Washington (USA), Bellevue College (USA) and Digital Analytics Association.
I have an engineering degrees and an MBA.

Here are three options for you to take this course
  1. GTM Course on Udemy - Take it online at your own pace - Click here for a coupon
  2. Bundle of Online Courses - Signup for a bundle of my course on Global Analytics Academy - You get GTM course + many more and all new courses I add for one low yearly price.
  3. In-person workshop - I will walk you through step by step. Contact me at batraonline@gmail.com to find out in-person classes schedule.
Don't want to learn Google Tag manager?  Let me and my team help you.  Contact me at batraonline@gmail.com/