Why is there a discrepancy between Shopify and Google Analytics?

You sometimes see different results between Shopify analytics and third-party tracking services such as Google Analytics. Customers can use browser extensions to block Google Analytics from tracking their sessions and purchases. Discrepancies might be introduced because of different reporting time zones.

Why is Google Analytics inaccurate?

One of the biggest causes of inaccuracies within Google Analytics is a lack of information about where your visitors are coming from. If you aren’t tagging your campaigns, you’re missing out on a ton of helpful data in your Analytics reports. Fortunately, tracking your campaigns is much easier than it might sound.

How do you resolve data discrepancies?

Dealing with Discrepancies

Trust in Trends. Though the exact numbers each tool is reporting may differ, the trends should be very close, if not identical.
Compare Like Data. This second practice is to avoid mixing data from different sources during analysis.
Calibrate, Audit, and Move On.

How accurate is Google Analytics eCommerce tracking?

Due to some users choosing not to be tracked or blocking cookies, Google Analytics can’t measure 100% of visitors. But when set up correctly, GA measures over 95% of genuine visitors (as opposed to web scrapers and bots). At Littledata, our customers come from a range of industries.

Do I need Google Analytics with Shopify?

Using Google Analytics is clearly absolutely necessary, but it’s using Shopify analytics available on a Shopify premium plan with Google Analytics that can give your store the edge.

Why is my Google Analytics different?

In short: Google crunch the numbers differently when they report them internally (at analytics.google.com), compared to when they make that same data available to developers via their API. If you have a developer on your team, they can verify this themselves by accessing your data via Google’s API.

How do you explain data discrepancy?

What is a data discrepancy? Generally speaking, a data discrepancy is when 2 or more sets of comparable data don’t match up. And, despite sounding kind of technical, it isn’t something that is unique to big data or adtech.

What are the causes of discrepancies that available in data?

Common reasons for data discrepancies

Timezone.
Double-check your query.
Invalids.
Data Sampling.
Session Definition.
Events are sent differently.
Bots and Test Users.
Funnel and Conversion Definitions.

Are there any data discrepancies in Google Analytics?

Data discrepancies between Google Analytics and an A/B testing tool, personalization tool, or some other analytics tool. Every tool has its own methods for various metrics. For example, while Google Analytics tracks one conversion per Goal per user per session, other tools count every conversion.

Why are there missing transactions in Google Analytics?

When it comes to troubleshooting and fixing missing transactions in Google Analytics, it’s very important to set the right expectations beforehand. You need to explain to your client, colleague, boss, etc., that reaching 100% transaction accuracy is next to impossible.

Why are there data differences between Google Ads and analytics?

Google Ads data is imported into Analytics at the time you view your report, so data is current as of the most recent hour. Use the check list provided here to verify your configuration. See the rest of the article for further discussion of why data differences can occur. Many data discrepancies are due to improper configuration.

What does not set mean on Google Analytics?

If your’re seeing (not set) as the value for your Google Ads data (e.g., as the value for the Account or Campaign dimension), use the (not set) troubleshooter to identify and resolve the cause. There are a number of reasons why Google Ads and Analytics may report different numbers of clicks and sessions:

Why is there a discrepancy between Shopify and Google Analytics?