From c33b64b55d95de5e77cdb594fe9c71c3672bc4b5 Mon Sep 17 00:00:00 2001 From: Hendrik Niefeld Date: Tue, 27 Oct 2020 11:36:02 +0100 Subject: [PATCH 1/3] add new article --- homepage/content/articles/0110-milestone-6.md | 2 +- .../content/articles/0120-opt-in-quality.md | 76 ++++++++++++++++++ ...-6.jpg => offen-blog-0110-milestone-6.jpg} | Bin .../offen-blog-0120-opt-in-quality-A.svg | 30 +++++++ .../offen-blog-0120-opt-in-quality-B.svg | 30 +++++++ .../offen-blog-0120-opt-in-quality-C.svg | 20 +++++ .../images/offen-blog-0120-opt-in-quality.jpg | Bin 0 -> 144566 bytes 7 files changed, 157 insertions(+), 1 deletion(-) create mode 100644 homepage/content/articles/0120-opt-in-quality.md rename homepage/theme/static/images/{offen-blog-0090-milestone-6.jpg => offen-blog-0110-milestone-6.jpg} (100%) create mode 100644 homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg create mode 100644 homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg create mode 100644 homepage/theme/static/images/offen-blog-0120-opt-in-quality-C.svg create mode 100644 homepage/theme/static/images/offen-blog-0120-opt-in-quality.jpg diff --git a/homepage/content/articles/0110-milestone-6.md b/homepage/content/articles/0110-milestone-6.md index 56a7030..f2524c3 100644 --- a/homepage/content/articles/0110-milestone-6.md +++ b/homepage/content/articles/0110-milestone-6.md @@ -3,7 +3,7 @@ description: For Milestone 6 we have tested our app intensively and added severa date: 2020-09-14 slug: packaging-testing sitemap_priority: 0.6 -image_url: /theme/images/offen-blog-0090-milestone-6.jpg +image_url: /theme/images/offen-blog-0110-milestone-6.jpg author: Frederik Ring bottom_cta: blog diff --git a/homepage/content/articles/0120-opt-in-quality.md b/homepage/content/articles/0120-opt-in-quality.md new file mode 100644 index 0000000..e6b6b9c --- /dev/null +++ b/homepage/content/articles/0120-opt-in-quality.md @@ -0,0 +1,76 @@ +title: Opt in for quality insights +description: Collecting data only with user consent has a less obvious implication: the quality of insights from web analytics increases. +date: 2020-10-27 +slug: opt-in-quality +sitemap_priority: 0.7 +image_url: /theme/images/offen-blog-0120-opt-in-quality.jpg +author: Hendrik Niefeld +bottom_cta: budget + +# Opt in for quality insights + +### 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. + +Collecting data only with user consent has a significant impact on the quality of analytics insights, especially for operators of smaller websites. + +### Analyzing our own turf + +Our own homepage [offen.dev](https://www.offen.dev/), on which of course an Offen instance is installed, can be described as rather small. It currently has an average of 280 unique users after opt in and 660 verified page views per month. + +We estimate our opt in rate, meaning the percentage of website users who agree to the data collection, to be about 40%. This figure is a subjective estimate and derived solely from the personal feedback of a relatively small group of test users. + +We cannot and do not want to measure the actual rate for obvious data protection reasons. What we are sure about is that it depends very much on the content offered. In our particular case, where product and presentation are so closely interwoven, it should be rather high compared to other content. + +However, we do not think it really matters to know what your opt in rate exactly is. But more about this later. + +### Collecting data differently + +First let's take a look at some numbers provided by our web analytics tool. These are the key metrics for our website from the randomly seclected time frame of 22 Aug 2020 to 30 Aug 2020. + +Figure A + +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. + +Figure A + +Not surprisingly, far more data is generated in our server logs than with our web analytics tool, which is strictly based on user consent. But due to the following reasons that difference is so significant. + +Visitors in the server logs are identified on the basis of a single day and could therefore have been counted several times during recurring visits. Also our logs count visitors and not unique users. This is because all non human traffic on our website is also covered. Which means that search engines indexing our website and all other page views generated by software agents are included. + +According to the [7th Annual Bad-Bot Report](https://www.imperva.com/resources/resource-library/reports/2020-bad-bot-report/) (Imperva Threat Research Lab, 2020), the average non human traffic on websites has now grown to more than 37%. Two thirds of this non human traffic accounts for so called bad bots. This software interacts with your website in the same way as a human user would do, which makes them more difficult to detect and block. + +Let us therefore take a closer look at the quantity and quality of referrer domains collected by both methods. + +Figure A + +Our server logs collected more than twice as much data over the period. Unfortunately, one third of this was noise, which we were able to completely avoid with our own tool. + +We consider entries that originate from server networks without an useful domain name or any obvious marketing content as plain spam. Furthermore, all entries without an explicit link that do not come from a search engine are considered questionable. + +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? + +### 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. + +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. + +Those who consent are most likely interested in your content. They support you with their usage data and may therefore be willing to support you in any other way. The exact share of these users is less interesting. + +### 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. + +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. + +### Try Offen today + +If you are looking for a self hosted as well as lightweight alternative to common web analytics tools and want to optimize your website for quality you should give Offen a try. Why not let it run parallel to your current tool for a while and then see how it feels? We are looking forward to your feedback. + +Give it a spin with our [demo](https://www.offen.dev/try-demo/) or directly head to our [get started](https://www.offen.dev/get-started/) section. diff --git a/homepage/theme/static/images/offen-blog-0090-milestone-6.jpg b/homepage/theme/static/images/offen-blog-0110-milestone-6.jpg similarity index 100% rename from homepage/theme/static/images/offen-blog-0090-milestone-6.jpg rename to homepage/theme/static/images/offen-blog-0110-milestone-6.jpg diff --git a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg new file mode 100644 index 0000000..0c98e4b --- /dev/null +++ b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg @@ -0,0 +1,30 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg new 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+++++++++---------- .../offen-blog-0120-opt-in-quality-C.svg | 34 ++++++------ 4 files changed, 77 insertions(+), 77 deletions(-) diff --git a/homepage/content/articles/0120-opt-in-quality.md b/homepage/content/articles/0120-opt-in-quality.md index e6b6b9c..ce4af83 100644 --- a/homepage/content/articles/0120-opt-in-quality.md +++ b/homepage/content/articles/0120-opt-in-quality.md @@ -11,7 +11,7 @@ bottom_cta: budget ### 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 Figure A -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. Figure A @@ -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 diff --git a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg index 0c98e4b..95daec2 100644 --- a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg +++ b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-A.svg @@ -1,30 +1,30 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg index 6e478e5..077cca8 100644 --- a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg +++ b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-B.svg @@ -1,30 +1,30 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-C.svg b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-C.svg index 7bf7890..2b3ce8b 100644 --- a/homepage/theme/static/images/offen-blog-0120-opt-in-quality-C.svg +++ b/homepage/theme/static/images/offen-blog-0120-opt-in-quality-C.svg @@ -1,20 +1,20 @@ - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + From b5a4170f917182f61087ebedae9fca5103ba6b69 Mon Sep 17 00:00:00 2001 From: Hendrik Niefeld Date: Wed, 28 Oct 2020 06:51:22 +0100 Subject: [PATCH 3/3] update article --- homepage/content/articles/0120-opt-in-quality.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/homepage/content/articles/0120-opt-in-quality.md b/homepage/content/articles/0120-opt-in-quality.md index ce4af83..58dca65 100644 --- a/homepage/content/articles/0120-opt-in-quality.md +++ b/homepage/content/articles/0120-opt-in-quality.md @@ -1,6 +1,6 @@ title: Opt in for quality insights description: Collecting data only with user consent has a less obvious implication: the quality of insights from web analytics increases. -date: 2020-10-27 +date: 2020-10-28 slug: opt-in-quality sitemap_priority: 0.7 image_url: /theme/images/offen-blog-0120-opt-in-quality.jpg @@ -13,7 +13,7 @@ bottom_cta: budget 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. +Collecting data only with *user consent has a significant impact on the quality of analytics* insights, especially for operators of smaller websites. ### Analyzing our own turf @@ -31,7 +31,7 @@ First let's take a look at some numbers provided by our web analytics tool. Thes Figure A -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. +To get an overview of our total traffic in the same time frame we use [GoAccess](https://goaccess.io/){: target="_blank"} 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. Figure A @@ -39,7 +39,7 @@ Not surprisingly, far more data is generated in our server logs than with our we Visitors in the server logs are identified on the basis of a single day and could therefore have been counted several times during recurring visits. Also our logs count visitors and not unique users. This is because all non human traffic on our website is also covered. Which means that search engines indexing our website and all other page views generated by software agents are included. -According to the [7th Annual Bad-Bot Report](https://www.imperva.com/resources/resource-library/reports/2020-bad-bot-report/) (Imperva Threat Research Lab, 2020), the average non human traffic on websites has now grown to more than 37%. Two thirds of this non human traffic accounts for so called bad bots. This software interacts with your website in the same way as a human user would do, which makes them more difficult to detect and block. +According to the [7th Annual Bad Bot Report](https://www.imperva.com/resources/resource-library/reports/2020-bad-bot-report/){: target="_blank"} (Imperva Threat Research Lab, 2020), the average *non human traffic on websites has now grown to more than 37%.* Two thirds of this non human traffic accounts for so called bad bots. This software interacts with your website in the same way as a human user would do, which makes it more difficult to detect and block. Let us therefore take a closer look at the quantity and quality of referrer domains collected by both methods. @@ -49,7 +49,7 @@ Our server logs collected more than twice as much data over the period. Unfortun We consider entries that originate from server networks without an useful domain name or any obvious marketing content as plain spam. Furthermore, all entries without an explicit link that do not come from a search engine are considered questionable. -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. +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 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? @@ -59,7 +59,7 @@ We don't think so. An "opt in only" policy for data collection, which is necessa 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. -Those who consent are most likely interested in your content. They support you with their usage data and may therefore be willing to support you in any other way. The exact share of these users is less interesting. +*Those who consent are most likely interested in your content.* They support you with their usage data and may therefore be willing to support you in any other way. The exact share of these users is less interesting. ### Deeper insights for optimization @@ -67,7 +67,7 @@ Nevertheless, common web analytics tools that collect data without user consent 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 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