GA4 Recommended Events: A Complete Guide

Google Analytics BCS 4 years ago (2023-01-27) 4268 Views 0 Comments
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Update time: Decembe 18, 2025

In this guide, I’ll walk you through what Recommended Events are, the different categories Google provides, and a step-by-step case study of how to implement the `login` event using GTM and `dataLayer.push()`.

What Are Recommended Events?

Recommended Events are predefined events created by Google. They come with fixed event names and fixed event parameters — Google has already decided what to call them and what data they should carry.

The beauty of using Recommended Events is that once you send data to these events, it automatically shows up in the relevant GA4 reports. No custom dimensions to register, no manual report configuration. Google’s reports are built to expect these events, so the data just work

 

Recommended Events Categories

Recommended Events are organized by industry and use case. Google has four categories:

  • For all properties : Available across all industries.
  • For online sales : Designed for retail, e-commerce, education, real estate, and travel industries. These events feed into e-commerce reporting.
  • For lead generation:Useful for B2B sales, automotive, insurance, or any scenario where conversions happen offline.
  • For games:Tailored for the gaming industry.

Let’s look at each category.

For all properties

These events work across any industry. Here are the ones Google recommends:

Event Trigger when
ad_impression a user sees an ad impression, for app only
earn_virtual_currency a user earns virtual currency (coins, gems, tokens, etc.)
join_group a user joins a group to measure the popularity of each group
login a user logs in
purchase a user completes a purchase
refund a user receives a refund
search a user searches your content
select_content a user selects content
share a user shares content
sign_up a user signs up to measure the popularity of each sign-up method
spend_virtual_currency a user spends virtual currency (coins, gems, tokens, etc.)
tutorial_begin a user begins a tutorial
tutorial_complete a user completes a tutorial

 

For online sales

If you’re running an e-commerce site or any business where users browse and buy products, this is the category you’ll use most.

Event Trigger when
add_payment_info a user submits their payment information
add_shipping_info a user submits their shipping information
add_to_cart a user adds items to cart
add_to_wishlist a user adds items to a wishlist
begin_checkout a user begins checkout
generate_lead a user submits a form or a request for information
purchase a user completes a purchase
refund a user receives a refund
remove_from_cart a user removes items from a cart
select_item a user selects an item from a list
select_promotion a user selects a promotion
view_cart a user views their cart
view_item a user views an item
view_item_list a user sees a list of items/offerings
view_promotion a user sees a promotion

For lead generation

If your business tracks leads that convert offline — B2B sales, insurance quotes, automotive inquiries — these events will help you track the full lead lifecycle.

Event Trigger when a user…
generate_lead submits a form online or submits information offline
qualify_lead is marked as fitting the criteria to become a qualified lead
disqualify_lead is marked as disqualified to become a lead for one of several reasons
working_lead contacts or is contacted by a representative
close_convert_lead became a converted lead (a customer)
close_unconvert_lead is marked as not becoming a converted lead for one of several reasons

For games

For gaming apps and websites, these events cover the full player lifecycle — from starting the game to leveling up and spending virtual currency.

Event Trigger when
earn_virtual_currency a user earns virtual currency (coins, gems, tokens, etc.)
join_group a user joins a group to measure the popularity of each group
level_end a user completes a level in the game
level_start a user starts a new level in the game
level_up a user levels-up in the game
post_score a user posts their score
select_content a user selects content
spend_virtual_currency a user spends virtual currency (coins, gems, tokens, etc.)
tutorial_begin a user begins a tutorial
tutorial_complete a user completes a tutorial
unlock_achievement a user unlocks an achievement

 

Case Study: Tracking the login Event

Let’s make this practical. Suppose you want to track the `login` event in GA4. This event fires whenever a user logs into your website or app.

The login event has one parameter:

Event Parameter Name Type Required Example value Description
method string No Google The method used to login.

The `method` parameter tells you how the user logged in — Facebook, Google, Email, Phone, etc. You replace it with whatever login methods your users actually use.

Let me walk you through the implementation step by step.

 

Step 1: Push Event to the Data Layer

When a user logs in, you need to push the event into the data layer using `dataLayer.push()`:

dataLayer.push({"event": "login", "method": "Google" });

This is the same `dataLayer.push()` method I covered in detail in the GA4 Custom Event Tracking with dataLayer.push, so if you need a refresher on how this works, that’s a good place to start.

 

Step 2: Create a Data Layer Variable

In GTM, we need to capture the method value so we can send it to GA4.

In GTM, click「 Variables」——「New」——「Choose a variable type to begin setup…」——「Data Layer Variable」, name it “dlv-method”, and then set as follows:

GA4 Recommended Events: A Complete GuideNote: dlv stands for Data Layer Variable.

 

Step 3: Create a Trigger

Now we need GTM to listen for the login custom event.

In GTM, click 「Trigger」——「New」——「Choose a trigger type to begin setup…」——「Custom Event」 name it “Custom Event-Login”, and then set as follows:

GA4 Recommended Events: A Complete Guide

Set the event name to login (matching the dataLayer event)

 

Step 4: Create a GA4 Event Tag

Now let’s send everything to GA4.

In GTM, click 「Tags」——「New」——「Choose a tag type to begin setup…」——「Google Analytics: GA4 Event」, name it “GA4-Event-Login”, and then do as follows set up:

GA4 Recommended Events: A Complete Guide

 

 

Step 5 : Preview and Publish

Before publishing, test in GTM Preview mode. Log in to your site and check that the `GA4-Event-Login` tag fires correctly with the `method` parameter.

GA4 Recommended Events: A Complete Guide

If everything looks good, publish your container.

 

Step 6 :Verify Data in GA4 Reports

After registration, it typically takes up to 24 hours before the data appears in your GA4 reports. Once it does, you can validate it in Event Reports:

GA4 Recommended Events: A Complete Guide

 

Final Words

Recommended Events are one of those features that make GA4 feel more structured compared to Universal Analytics. Instead of making up your own event names and hoping they show up in reports, Google has already defined a standard set of events that plug directly into the reporting interface.

Here’s what I want you to remember: if there’s a Recommended Event for what you’re tracking, use it. You get automatic report population, consistent naming, and less work setting up custom dimensions. The `login` case study above is a perfect example — one event name, one parameter, and you’re done.

I hope this guide helped you understand GA4 Recommended Events and how to implement them. If you have questions about a specific event category or ran into issues during setup, feel free to leave a comment and I’ll do my best to help.

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