Post by account_disabled on Mar 5, 2024 22:28:50 GMT -6
Therefore, it may be advisable not to have the test performed, although it is important to look at the tests afterwards and make a better guess about the results. Because if you are not going to make decisions based on data, there is no point in the effort to collect it. There is an opportunity cost in everything when it comes to data. “What gets measured gets managed” is a famous quote from Peter Drucker, and it highlights the importance of measuring things: tasks are executed when you have a number that keeps people accountable. A great Harvard Business Review article highlights the problem: "Peter Drucker was right when he wrote 'What gets measured, gets managed.' But why is this often misinterpreted as 'What can't be measured is not worth managing.
If you focus too much on measuring every aspect of your content performance with absolute precision, you run the risk of optimizing for the wrong thing. Is it more crucial to optimize the percentage of time someone spends looking at your product while reading a blog post, or would it Fax Lists be better to drive more traffic to your website? You have a multitude of options when measuring your content. So ask yourself: what kind of behavior is this metric encouraging? If you track leads that come from content, you will incentivize creating numerous lead magnets and long forms, as that will show a rapid increase in the short term. If you track traffic, you're incentivizing a lot of top-of-funnel content, regardless of whether or not that content generates leads.
If you track the number of articles published, that's what you incentivize, even if the articles themselves are not quality. No metric is going to fully capture the value of your content, although you could behave as if it did. Two adages from the world of social sciences and economics put the finishing touch to this discussion about the dangers of data: Campbell's Law: "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruptive pressures and the more likely it will be to distort and corrupt the social processes it is intended to monitor." Goodhart's Law: "When a measure becomes an objective, it is no longer a good measure." The simple act of measuring something changes the way people behave.
If you focus too much on measuring every aspect of your content performance with absolute precision, you run the risk of optimizing for the wrong thing. Is it more crucial to optimize the percentage of time someone spends looking at your product while reading a blog post, or would it Fax Lists be better to drive more traffic to your website? You have a multitude of options when measuring your content. So ask yourself: what kind of behavior is this metric encouraging? If you track leads that come from content, you will incentivize creating numerous lead magnets and long forms, as that will show a rapid increase in the short term. If you track traffic, you're incentivizing a lot of top-of-funnel content, regardless of whether or not that content generates leads.
If you track the number of articles published, that's what you incentivize, even if the articles themselves are not quality. No metric is going to fully capture the value of your content, although you could behave as if it did. Two adages from the world of social sciences and economics put the finishing touch to this discussion about the dangers of data: Campbell's Law: "The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruptive pressures and the more likely it will be to distort and corrupt the social processes it is intended to monitor." Goodhart's Law: "When a measure becomes an objective, it is no longer a good measure." The simple act of measuring something changes the way people behave.