Newsletter Subject

Top 7 Implementation Mistakes in GA4 Ecommerce Tracking

From

optimizesmart.com

Email Address

himanshu@optimizesmart.com

Sent On

Thu, Aug 1, 2024 12:14 PM

Email Preheader Text

Hi {NAME}, Himanshu here from OptimizeSmart. I hope you are doing well. I have couple of updates f

Hi {NAME}, Himanshu here from OptimizeSmart. I hope you are doing well. I have couple of updates for you... # Get helpful tips on daily basis If you are the type of person who finds it helpful to receive short tips on GA4, improving conversions, fixing attribution issues and learning about analytics in general, then follow me on LinkedIn. I post a few short tips each day. [Click here and follow me on LinkedIn.]( #1 Top 7 Implementation Mistakes in GA4 Ecommerce Tracking Beware of these seven common implementation mistakes in your GA4 ecommerce tracking: Mistake-1: Not looking at the 'Event count per user' metric' for ecommerce events. It is common to see inflated ecommerce events in a GA4 property because most developers do not set up ecommerce tracking correctly. A quick way to check for duplicate ecommerce events in GA4 is to look at the 'Event Count Per user' metric. A high event count per user can be a sign of duplicate ecommerce events. . . Mistake-2: Not tracking state changes. It is common to see inflated ecommerce events in a GA4 property because most developers do not track state changes but rather send duplicate events to GA4. If a user repeatedly performs an action (e.g., clicking an "add to cart" button multiple times), tracking state changes helps you avoid counting each click as a separate event. . . Mistake-3: Not using a throttling function. A throttling function is another good method to prevent sending duplicate ecommerce events to GA4. For example, A throttling function ensures that the 'purchase' event is not fired more than once when the order confirmation page reloads by a user. This would prevent duplicate 'purchase' events. . . Mistake #4: Not using debouncing techniques. Implementing debouncing techniques can effectively prevent rapid, repeated actions from causing duplication in your ecommerce tracking. Debouncing ensures that a function does not execute until a certain amount of time has passed since the last time the function was executed. This technique can be useful for preventing duplicate' purchase' events caused by rapid, repeated clicks on a 'Complete Order' button. . . Mistake-5: Not clearing the ecommerce data in the data layer. Always clear the ecommerce data in the data layer before pushing a new transaction event in GA4. dataLayer.push({ ‘ecommerce’: null }); // Clear previous data By clearing past data, you ensure the new transaction event reflects the current state, preventing contamination from previous actions like adding or removing items. Mixed data points from different transactions can cause errors in tracking and reporting. . . Mistake-6: Not including all relevant event parameters with each ecommerce event. Each e-commerce event in GA4 requires specific event parameters to be included. If these event parameters are missing or incorrectly configured, GA4 will display "(not set)" as a placeholder value. For example, If the 'item_name' parameter is not included in the 'add_to_cart' event, the item name will appear as "(not set)" in the e-commerce reports. . . Mistake-7: Not involving the client's web developers/IT team. Even when you have adequate knowledge of HTML, DOM, and JavaScript, you would still need the help of the client's web developers/IT to add server-side code to your data layers or to query their database for you. #2 [Join Digital Analytics Implementation programs](. 1) Sales and ROI Accelerator course - This course is designed to help you quickly increase your website sales and ROI in a short period of time. 2) GA4 Mastery Course - Learn and Master Google Analytics 4 (GA4). 3) GA4 BigQuery Course - This course is designed to send and manipulate GA4 data in BigQuery. 4) Data, Maths and Stats Mastery Course - Learn the maths & statistics behind digital analytics and conversion optimization to correctly interpret data and make data-smart business decisions. #3 [Get the 62 points GA Checklist ebook (45 pages)](. Set Up Your Google Analytics 4 (GA4) Account Correctly And Fast like a pro. #4 Do you want expert help in setting up/fixing GA4 and GTM? If you are not sure whether your GA4 property is setup correctly or you want expert help migrating to GA4 then [contact us](. I hope you find all these updates helpful. Talk soon, Himanshu Sharma Founder, OptimizeSmart.com You got this email because you subscribed to OptimizeSmart.com OptimizeSmart, Alford, Aberdeenshire, UK [Unsubscribe](

Marketing emails from optimizesmart.com

View More
Sent On

07/11/2024

Sent On

17/10/2024

Sent On

10/10/2024

Sent On

03/10/2024

Sent On

19/09/2024

Sent On

12/09/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.