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Hendrik Niefeld 2020-10-27 22:17:35 +01:00
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### Fair web analytics
A key feature of our fair and open web analytics tool named [Offen](https://www.offen.dev/get-started/) is that data will only be collected after an opt in from website users. This is absolutely necessary for a fair data transfer, but also comes with another, not so obvious implication.
A key feature of our fair and open web analytics tool [Offen](https://www.offen.dev/get-started/) is that data will only be collected after website users have opted in. This is absolutely necessary for a fair data transfer, but also comes with another, not so obvious implication.
Collecting data only with user consent has a significant impact on the quality of analytics insights, especially for operators of smaller websites.
@ -31,7 +31,7 @@ First let's take a look at some numbers provided by our web analytics tool. Thes
<img class="mt3 mb2" alt="Figure A" src="/theme/images/offen-blog-0120-opt-in-quality-A.svg"/>
Now we should get an overview of our total traffic in the same time frame. Although "total traffic" is a rather symbolic term here, since the exact number of visitors can never be determined by any method. Even if we leave aside all non human traffic, a combination of adblockers, privacy tools and bugs reliably prevent an absolutely accurate measurement.
To get an overview of our total traffic in the same time frame we use [GoAccess](https://goaccess.io/) to analyze our server logs. Although "total traffic" is a rather symbolic term here, since the exact number of visitors can never be determined by any method. Even if we leave aside all non human traffic, a combination of adblockers, privacy tools and bugs reliably prevent an absolutely accurate measurement.
<img class="mt3 mb2" alt="Figure A" src="/theme/images/offen-blog-0120-opt-in-quality-B.svg"/>
@ -51,11 +51,11 @@ We consider entries that originate from server networks without an useful domain
Perhaps these interferences have no relevance on websites with very high traffic. However, if your website never has more than a hundred unique users per day, the noise generated by spam will have a significant impact on your analytics results.
Common web analytics tools try to solve this problem by blocking single traffic sources. But all the domains considered questionable and some of the spam related ones would certainly be included there. In any case, this approach leads to long lists of spam referents in the respective code, which by definition are always out of date. An arms race that the developers of these tools inevitably lose. Is all this really necessary?
Common web analytics tools try to solve this problem by blocking single traffic sources. But all the domains considered questionable and some of the spam related ones would certainly be included there. In any case, this approach leads to long lists of spam referrers in the respective code, which by definition are always out of date. An arms race that the developers of these tools inevitably lose. Is all this really necessary?
### Real human users
We don't think so. An "opt in only" policy for data collection, which is necessary anyway for privacy reasons, solves the problem along the way. Even if you wanted to, the opt in banner can only be bypassed with a lot of script effort. This assures real human users with a very high probability. The best starting point for the optimization of your website.
We don't think so. An "opt in only" policy for data collection, which is necessary anyway for privacy reasons, solves the problem along the way. Even if you wanted to, the opt in banner can only be bypassed with a lot of engineering effort. This assures real human users with a very high probability. The best starting point for the optimization of your website.
Talking about these real users brings us back to the question of whether it is important to know your exact opt in rate. For an answer, consider for which users you want to optimize your website and what kind of users you want to attract.
@ -63,11 +63,11 @@ Those who consent are most likely interested in your content. They support you w
### Deeper insights for optimization
Nevertheless consent free web analytics tools at least provide higher quality results than simply analyzing your server logs. Yet their quality is bound to be lower compared to the results obtained with the smaller amount of data generated by opt in only data collection. This results from the fact that some further issues are simply not manageable without some form of consent banner.
Nevertheless, common web analytics tools that collect data without user consent provide at least better results than the analysis of your server logs. Yet their quality is bound to be lower compared to the results obtained with the smaller amount of data generated by opt in only data collection. This is caused by the fact that some further issues are simply not manageable without some form of consent banner.
Many users are recorded even though they have visited your website with very little or no interest. Some bounce off immediately and may just have been there by mistake. Still, all these data points are included in your analytics and will give you a distorted impression. The resulting false assumptions distract you from the important users and make it difficult for you to keep the necessary focus.
This is why the use of all technically available data is not the way to do better web analytics. Only a careful selection of the data to be evaluated leads to deeper insights for optimization. All the better if this can be done in combination with a privacy friendly approach to data collection.
This is why the use of all available data is not the way to do better web analytics. Only a careful selection of the data to be evaluated leads to deeper insights for optimization. All the better if this can be done in combination with a privacy friendly approach to data collection.
### Try Offen today

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