Why improving a metric by 50% can make you earn 30% less

One of the main mistakes that almost all of us make is that we take things for granted. We assume that an orange button is better than any other color, that running Facebook Ads is better than LinkedIn Ads, that a long post is better than a short one, etc. In many cases this may be true, but we rarely actually test these points to question them, which are sometimes even obsolete. optimizePhoto rights by Fotolia How data can lead us to wrong conclusions Sometimes it is even more complicated to know what is best because we have data that can mislead us.

 

Having a higher CPL on Twitter than

on Facebook doesn’t mean that one channel is worse than the other. In the end, it’s also important to convert to the next level, such as download, payment, or any other advanced step you have in your sales funnel . Moving up from second to first position germany whatsapp number data on Google and thinking that this will always bring us more traffic. Depending on the content that is shown in the first positions, the leader in the results is not the one that gets the most clicks. 10 is also better than 8 or 9 . Optimizing some metric will always have a positive impact.

This belief is a serious mistake

There is an opportunity cost in investing our time in one thing because we stop doing things elsewhere. Let’s talk about the cost of optimization The topic of optimization is certainly something I like to talk about. I have already covered it on several occasions with peoples first contact in the past. Here are some examples. Increase CTR on Twitter. Read the post . Optimize opening or click rate. Go to the entry . Improve conversion or conversation on a blog. See the article .

Earn more by optimizing your ads

Here are the tips . I will continue to talk about this topic in the future, but this time I will have to add a nuance when I touch on it. Optimizing and achieving improvements also has a cost . Sometimes this can outweigh the benefit and we do not realize it buying house b Let’s take a very simple example. Let’s say you’re interested in improving your CTR on Twitter and you spend half a day analysing and testing your tweets. The results are spectacular.

You manage to increase your CTR

by 50%. Before, you had 1% and now it’s up to 1.5%. Translated into web traffic, you’ve achieved 15 visits instead of 10 with each tweet (calculated on a base of 1,000 followers). Since you send 5 tweets throughout the day,

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