6 Ultimate Ways to Fixing Your Bad Analytics Data

A slight error in your inbound marketing data will lead to bad decisions and limit your opportunities to build insight on your overall data. If you think your analytics tool will prevent you to deal with bad data, then you are really mistaken. In fact, it is very plausible for your analytics dashboard to give you corrupted picture of what is happening in your web presence. Fortunately, this issue can be easily fixed by performing a thorough clean up on your data. It can be done with these 6 digital marketing tips on fixing bad data.

Create Filters

When you create filter, it will prevent certain data from hitting your Analytics account. You may still get the traffic from unwanted data, but it will not be seen in your account. Filter also works to remove spam from historic data by applying Segmentation. There are a number of examples in creating Filters, such as exclude internal IP address and partner agencies’ IP address, include only your Hostnames, etc. Once you choose the Filters, you should test them out to ensure they work properly.

Investigate Referral Links

When you found a big change in your data, you should check up referral links first in order to build up the data’s authenticity. Choose click All Traffic under the Acquisition tab and investigate the Referrals. There are several indicators that will tell you if referring site is illegitimate like foreign language web pages, anything with ‘backlink’ or ‘free’ words in the url, sites with unknown links to your own, and urls which redirects you. So make sure these issues are not found in your referral links.

Choose Bot Filtering

Google Analytics has a feature called Bot Filtering where you can exclude all hits from known spiders and bots. You can find the feature under View Settings and choose Bot Filtering. You only have to check the box and save the change.

Check The Bounce Rate

If you found that your bounce rate is extremely low (below 20{e56e98cffb3900b5e8849a3588d7fad4e42d0c2720d7b074b7ab4ed4811d4b0a}) or suddenly dropped, you should immediately fix it. Usually, low bounce rate is caused by adding multiple instances without modifying the snippet for each setting to view the data. Thus, you have to check whether you have installed two instances of the same code snippet for the same property installed on your web. Once found, remove or modify one of them to fit different users in your Analytics account.

Use Secondary Dimension

A secondary dimension can confirm if there is anything amiss with your Analytics data. Apply it to your source report and take a closer look at factors such as service provider, city and county. If anything weird pops up which indicates bad data, do get rid of it without hesitation!

Set Up Segments

Setting up Segments that relevant to your filters enables you to exclude bad data. Remember to utilize the segments each time you look at data and analyze past performance.

The process of cleaning your analytics data from bad stuffs is tough but it is still necessary to keep everything flawless. With the right understanding on how to fix it, you can avoid any bad decision and guarantee continual improvement. You can learn more on how you can utilize your analytics data, especially Google Analytics, to improve online marketing with our free infographic. Download it now!

Tips to Improve Online Marketing Through Google Analytics - CTA

Sources:

snowplowanalytics.com/blog/2016/01/07/we-need-to-talk-about-bad-data-architecting-data-pipelines-for-data-quality/
medium.servertastic.com/how-to-clean-up-bad-analytics-data-66f6f4f0efa5
mockingbird.marketing/google-analytics-is-lying-to-you/
blog.kissmetrics.com/google-analytics-data-errors/