Recently, Google has made an unsurprising move when limit the Search terms report. Before September, 2020, all search terms having more than 1 clicks will be shown in the search terms report, but now, Google limit it to a new threshold.

Google’s statements “…Search Terms Report to only include terms that a significant number of users searched for…” and how significant is enough will remain as a question. Search Engine Land reported that 20% of the search terms will be invisible to the users. Read more here https://searchengineland.com/googles-search-terms-move-will-make-millions-in-ad-spend-invisible-to-advertisers-340182

However, I recently find out that we still can access these report from Google Analytics, as long as the auto-tag feature is turned on. The key idea here is Google hid the search terms in Google Ads, but they have not hidden them in Google Analytics

It should be noted here that Google Analytics and Google Ads are 2 totally different systems, and the data will not be accurate as the old search term report, but this is the best we can have right now.

How to see the search terms that has been filtered in Google Analytics

Now, these are the procedure you can follow to unblock the Google Search terms report:

Step 1: Make sure the auto-tag is turned on and Google Analytics and Google Ads are linked

Step 2: Visit Google Analytics, go to Acquisition, Google Ads, Campaign

Step 3: Choose secondary dimension, type search query, and click on search query.

Step 4: Click on sessions to sort the data by the number of sessions. These filtered search terms are likely to be the search terms having 0 clicks, 0 impressions and >1 sessions (it is not totally correct)

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Basically, they are all click triggers, which means it is based on clicks to determine the tag is fired or not.

Just link is specifically used for “click on link”, and All elements is used for every click on website. Link click is any clicks on <a href…>, which could be a link to other sites, or may be click to call

2 examples that you will frequently met are:

• <a href=”https://vutung.com/2020/10/09/the-difference-between-all-element-and-just-link/”>Click here</a>
• <a href=”tel:+84982129595″>0982129595</a>

Every link click can trigger both All element and Just link, however, if it is a normal click (for example, click on submit button) then it will only trigger All elements click.

To determine which one you should choose, just think that is the click you want to be tracked, are link click or not.

Click here to read more about how to track real time-on-page by Google Tag Manager

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For example: If a person entered the website, then spent around 20 minutes reading your page, and gather all the information he needed, then he exit the page. He  is an potential customer, but in Google Analytics, he is count as a bounce, and session duration is 0.

How to use Google Tag Manager to track user’s time on page

Now, we can use Google Tag manager, timer trigger to fix that problem, by identify the real time-on-page for a particular page.

*** This trick should only be use in some specific pages, such as blog pages, or key pages, since it will send multiple hits to GA, and send much more events than normal.

See more: Track every user behaviors by sending client ID

1, Send a hit after user spend 30 seconds on page.

Create the Timer trigger as follows:

1. Add a new trigger. Choose Timer as the event type.
2. Enter the desired timer interval in milliseconds, e.g. For a 30 seconds timer, enter 30000, and set the timer limit to 1 (only fire once per page)
3. At the conditions, you enter Page Url -> contains -> URL of the pages you want to track. Leave domain for all pages
4. This trigger fire on all timers

Now, you create a universal analytics event, with category and label as you wish. This will not affect any reports. The correct set up should look like this

2. Multiple timer on a page

What if you want to record multiple timer events from the same timer? A single 30 second timer is better than nothing, but what if visitors are spending 5, 10, or as much as 20 minutes on a single page before leaving your site? With only a 30-sec timer, your session duration metric could still be hugely misleading.

The set up will be quite the same, as following instructions below:

1, Create a timer trigger. Set up the same as above, but you should leave limit blank. This will allow the timer listener to fire indefinitely until the user leaves the page or closes their browser.

2, Create two new variables to capture the timerEventNumber and timerInterval auto-event variables as follows. At least right now, GTM does not create these macros by default:

Create a new variable named timerEventNumber, set to the value of the gtm.timerEventNumber variable in the data layer. This will return the count of the number of times that the timer listener has fired on the page.

Create a new variable named timerInterval exactly as above, but with gtm.timerInterval as the data layer variable name. This will return the timer interval that you have specified in the listener tag.

3, Configure a variable , custom javascript

Then input the following code into the custom Javascript

function() {
var elapsed = {{gtm.timerEventNumber}} * {{gtm.timerInterval}} / 1000;
var min = elapsed/60;
return min + ‘m ‘;
}

4, Configure your Universal Analytics event tag as follows.

Finally, in Google Analytics, it will look something like this

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Sending the Client ID as a Custom Dimension to Google Analytics is absolutely necessary. It’s the only way to get row-by-row reports split by user, and it’s the only way to query for data collected from any anonymous user.

The setup is really simple. You need a Custom Dimension setup in Universal Analytics, and then you simply need to add a new Field to set in your Page View tag (or whatever you want to use to send the data to GA)

1, Create Custom dimension in Google Analytics

Click on admin -> custom dimension

Name and choose the type. There are 3 scopes in Google Analytics: hit, session and user. Here, client ID is user scope, which related to each cookies.

Then click save. After creating the custom dimensions, there will be an associated index number with it. We will use this index number later.

2, Create a variable in Google Tag Manager

First, you navigate to Google Tag Manager, and create a new variable.

Then choose custom javascript

Name that client_id_setter, and input this script

function() {
     // Modify customDimensionIndex to match the index number you want to send the data to
     var customDimensionIndex = 5;
     return function(model) {
          model.set('dimension' + customDimensionIndex, model.get('clientId'));
}
}

REMEMBER TO CHANGE THE “customDimensionIndex” IN THE CODE TO THE INDEX NUMBER IN CUSTOM DIMENSION. Here, we must change it to 2

Then save.

3, Change Google Analytics variable

Refer to your Google Analytics variable

Click on More setting

Enter as below screenshot

Then save.

After all changes, you may see the client ID as secondary dimension

Good luck on your Digital Marketing career.

Source: https://www.simoahava.com/gtm-tips/use-customtask-access-tracker-values-google-tag-manager/

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Did they jump from About to Pricing? Did they research on XYZ blog post?

Without concrete data, it’s still speculation.

Using the Reverse Goal Path report, you can reverse engineer real sales.

People who actually bought from you, rather than just all website visitors.

There is no need for speculation anymore.

It shows you people who bought from you and every single touchpoint they landed on before doing so.

The first column shows you what landing page they converted on. Each consecutive column shows you the previous step they took that led them to the sale.

Reverse engineer the process of common sales to see how you can better push people through each page to drive more sales.

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You can sift around for hours at a time trying to locate something that could help you boost conversions or sales.

The upside of a platform that allows for deep customization and hundreds of stock reports also presents a serious downside in complexity and creates an Ikea-esque maze of information.

Instead of browsing Analytics for hours on end to locate data that can help you increase sales, create custom reports.

To do this, head to the Admin section of your Analytics account:

Under the “View” section, select “All Web Site Data” and then find the “Custom Alerts” tab:

With custom alerts, you can receive email updates and text message notifications each time something happens.

Using the Alert Conditions, you can customize specific scenarios that you want to be alerted for.

For example, if your traffic declines heavily or goal completions (sales) tank over the last few days.

You can alert yourself of just about anything.

I suggest creating dozens of alerts for the most key information that you monitor on a daily or weekly basis.

This way you’ll spend less time checking different reports, and instead, can just be alerted by Analytics to tell you what’s happening.

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