Formula Rejection in Google Data Studio

Google Data Studio

If there is an error in a calculated field formula, you’ll see a warning message, and you won’t be able to save the field. When this happens it means your formula has been rejected by Data Studio:


If you are new to using calculated fields, you will often see yourself in the situation where your formula has been rejected by Data Studio. 

Following are the most common reasons why your formula is rejected by Data Studio:

#1 You used an invalid field name. If your field name is valid, it will automatically appear as a green or blue chip in the formula: 

Following are examples of an invalid field:

  • The field does not exist in the data set.
  • The field name has got spelling mistakes or some special character (like white space) in it.

#2 You used an invalid function name. If your function name is valid, it will automatically appear as an uppercase green text: 

A function which is not spelled correctly or which is not supported by Data Studio is an example of an invalid function:

#3 Missing quotes. Make sure all literal strings are properly quoted with single or double-quotes.

#4 Mismatched parentheses. When nesting functions, it is quite easy to miss a closing parenthesis. You need to make sure that you have the same number of opening parentheses as closing parentheses.

#5 Not using the correct parameters for your function can cause your formula to be rejected by Data Studio.

#6 Applying an aggregation function on already aggregated data. For example, the ‘Sessions’ metric is already summed in Google Analytics, so the formula SUM(Sessions) will produce an error:

#7 Mixing dimensions and metrics in function arguments. An expression can have either metrics, or dimensions, but not both:

Get the ebook on Google Data Studio (50+ Pages)

Related Articles

 

Do you know the difference between Web Analytics and Google Analytics?


99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).

So they are teaching GA and GTM in the name of teaching Web analytics.

They just copy each other. Monkey see, monkey do.

But Web analytics is not about GA, GTM.

It is about analyzing and interpreting data, setting up goals, strategies and KPIs.

It’s about creating strategic roadmap for your business.


Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.

You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.

Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.

You are either likely to end up somewhere other than your destination or you get involved in an accident.


You learn data analysis and interpretation from Web analytics and not from Google Analytics.

The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.

You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.


You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.

So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.

Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.

You need to know lot more than GA in order to work in Web analytics and marketing field.


So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.

 

Here what You'll Learn On This FREE Web Class!


1) Why digital analytics is the key to online business success

2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.

3) Why Google and Facebook ads don’t work for most businesses & how to make them work.

4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.


5) The number 1 reason why conversion optimization is not working for your business.

6) How to advertise on any marketing platform for FREE with an unlimited budget.

7) How to learn and master digital analytics and conversion optimization in record time.


FREE GIFT “Key Performance Indicator – KPI” (32 pages ebook) – Stay till the very end of the Webinar and I’ll give you this FREE Gift!

  
 

My best selling books on Digital Analytics and Conversion Optimization

Maths and Stats for Web Analytics and Conversion Optimization Master the Essentials of Email Marketing Analytics Attribution Modelling in Google Analytics and Beyond Attribution Modelling in Google Ads and Facebook

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.

Himanshu Sharma

Digital Marketing Consultant and Founder of Optimizesmart.com

Himanshu helps business owners and marketing professionals in generating more sales and ROI by fixing their website tracking issues, helping them understand their true customers' purchase journey and helping them determine the most effective marketing channels for investment.

He has over 12 years of experience in digital analytics and digital marketing.

He was nominated for the Digital Analytics Association's Awards for Excellence. The Digital Analytics Association is a world-renowned not-for-profit association that helps organisations overcome the challenges of data acquisition and application.

He is the author of four best-selling books on analytics and conversion optimization:

error: Alert: Content is protected !!