Post by account_disabled on Feb 25, 2024 9:24:49 GMT
The achieved not as a result of the YouTube campaign, but thanks to other advertising activities. What proportion of these customers would make a purchase without watching a YouTube video?Only the conversion lift experiment could provide the answer to this question. His results were as follows There were , conversions in the test group. In the control group, , conversions were recorded. The difference is conversions. This is how much sales increased thanks to the investment in this YouTube campaign. For comparative purposes, analyzes were also performed using various attribution models, including a model based on Markov chains. what is conversion lift?Fig. YouTube campaign results.
Conversion lift showed that the impact of YouTube campaigns is much greater than the post-click effect, but almost twice lower than that resulting from algorithmic attribution models. The experiment showed that the YouTube Latvia WhatsApp Number List campaign was highly effective and increased sales many times more than the few post-click conversions. On the other hand, concerns were confirmed that the impact of the campaign is much lower than the conversion after viewing the ad a threefold difference. The experiment also showed the weakness of algorithmic models the Markov model showed more participation in conversions than the conversion lift measurement. Conversion lift for everyone.
Conversion lift research provides hard evidence of advertising campaigns. Although the possibility of using conversion lift experiments is still quite limited, the introduction of this methodology is a breakthrough. If it is adopted on a wider scale by optimization algorithms, it will enable them to actually verify hypotheses about the importance of individual channels for generating conversions. Let's hope this will happen in the near future. During classes with students, I often conduct a simple experiment. I am asking a question and asking for the correct answer. Sounds like a test. However, the difference is fundamental. No one gets C's for wrong answers. This is important because most people give wrong.
Conversion lift showed that the impact of YouTube campaigns is much greater than the post-click effect, but almost twice lower than that resulting from algorithmic attribution models. The experiment showed that the YouTube Latvia WhatsApp Number List campaign was highly effective and increased sales many times more than the few post-click conversions. On the other hand, concerns were confirmed that the impact of the campaign is much lower than the conversion after viewing the ad a threefold difference. The experiment also showed the weakness of algorithmic models the Markov model showed more participation in conversions than the conversion lift measurement. Conversion lift for everyone.
Conversion lift research provides hard evidence of advertising campaigns. Although the possibility of using conversion lift experiments is still quite limited, the introduction of this methodology is a breakthrough. If it is adopted on a wider scale by optimization algorithms, it will enable them to actually verify hypotheses about the importance of individual channels for generating conversions. Let's hope this will happen in the near future. During classes with students, I often conduct a simple experiment. I am asking a question and asking for the correct answer. Sounds like a test. However, the difference is fundamental. No one gets C's for wrong answers. This is important because most people give wrong.