Sample data Analysis
Reasons for Inaccurate Data• New Reason • How Does Sampling Work in Google Analytics???• what is the Primary Reason for Sample Data?• What is Sampling Data• Where is Sampling Slider?? • How do you use the Sampling Slider?• Conclusions• You’re Options
Agenda
Reasons for Inaccurate Data
• 1 – Failure to tag pages• 2 – Poor location of Google Analytics tracking
code• 3 – More than one Google Analytics tracking
code on the page• 4 - JavaScript errors on the page• 5 – In-page Analytics is more confusing - This are the basic reason any new Reasons for
Inaccurate Data??
New Reason
• Another reason – Data Sampling
• which is outside of our control in Google Analytics Standard is the amount of data you have and your probability to receive sampled data in the Google Analytics reporting interface.
How Does Sampling Work in Google Analytics???
• Majority of the Standard reports you find in Google Analytics are not sampled.
• Bcoz of They has been pre-aggregated by Google’s processing servers and no matter your date range you’ll be looking at unsampled data.
Than what is the Primary Reason for Sample Data?
• The primary reason for sampled data: • 1) you Selected Date Range have more
than 500 k visits • 2) You either running a report which is not
Pre aggregated • 3) You Apply Advance Segment (Default or
Custom
What is Sampling Data
• - Data collection sampling via Sampling Slider
- Is a very straightforward concept in which you are electing to only send a specific percentage of data to GA.
Where is Sampling Slider??
• When sampling occurs, you will see the checkerboard button appear (indicated by the hand cursor in the image to the right) and when clicked it will display the sampling slider (as highlighted in blue to the right).
Google Analytics Sampling Slider
How do you use the Sampling Slider?
• 1% Slider Setting (Faster Processing)
• 50% Slider Setting (default setting)
• 100% Slider Setting (Highest Precision)
Screen Shot 1-
Screen Shot - 2
Screen Shot 3
Screen Shot 4
Conclusions
• In our tests, we found sampling in Google Analytics to deliver fairly accurate results for the visits metric. Google’s sampling algorithm samples traffic proportional to the traffic distribution across the date range and then picks random samples from each day to ensure uniform distribution. This method seems to work out quite well when you are sampling across metrics like visits and total Page views (top-line metrics), but quickly starts to present concerns when only a subset of those visits qualify for a metric such as transactions or revenue. I would expect the same accuracy concerns with goal conversion rates and even bounce rates relative to a page dimension. Additionally, we’ve seen many issues when using a secondary dimension and sampling.
You’re Options
• Sample Data Shows Different results in each test case So, what can you do about it?
Option #1 – Go PremiumOption #2 – Secondary TrackerOption #3 – Export DataOption #4 – Collect Clickstream Data
• Thank You
