The latter differ in that they allow you to stimulate
Posted: Tue Feb 11, 2025 4:58 am
Those channels that then lead to indirect visits.
Positional and linear, as well as models created based on recency, will allow tracking the number of touches, but will not allow understanding their weight. For this reason, the system algorithm allows taking into account complex models based on machine learning . Both FB and Google have such algorithms, but each of them has its own differences. For example, Facebook's model can only analyze data obtained from Paid sources.
And Google will allow you to connect this model if you have:
400 conversions with at least 2 interactions;
10,000 interaction paths collected in the chosen Real cell phone number list direction (may correspond to the same number of people, or may be less if one user used multiple interaction paths).
Attribution tools for these two systems allow you to conduct a comparative analysis of the model. If the data differs greatly, it is necessary to study the impact of different channels on conversion in more detail. Timely analysis of trends will allow you to re-evaluate their effectiveness of advertising on Facebook and redistribute the advertising budget .
Conclusions
Facebook Attribution is available to absolutely everyone, as it is free. Its use provides more data on what causes conversion than other analytical algorithms. The tool covers both direct and paid and organic channels, and also allows you to determine their impact on the conversion path. With its help, you can use and analyze multi-channel paths that users go through before making a conversion. AdButton specialists suggest using this tool in the work on optimizing advertising campaigns. Having mastered it, you can improve the distribution of the advertising budget and optimize the methods of attracting users.
* Touch in advertising is interaction with the audience. For example, one person saw the advertisement once = touch.
Positional and linear, as well as models created based on recency, will allow tracking the number of touches, but will not allow understanding their weight. For this reason, the system algorithm allows taking into account complex models based on machine learning . Both FB and Google have such algorithms, but each of them has its own differences. For example, Facebook's model can only analyze data obtained from Paid sources.
And Google will allow you to connect this model if you have:
400 conversions with at least 2 interactions;
10,000 interaction paths collected in the chosen Real cell phone number list direction (may correspond to the same number of people, or may be less if one user used multiple interaction paths).
Attribution tools for these two systems allow you to conduct a comparative analysis of the model. If the data differs greatly, it is necessary to study the impact of different channels on conversion in more detail. Timely analysis of trends will allow you to re-evaluate their effectiveness of advertising on Facebook and redistribute the advertising budget .
Conclusions
Facebook Attribution is available to absolutely everyone, as it is free. Its use provides more data on what causes conversion than other analytical algorithms. The tool covers both direct and paid and organic channels, and also allows you to determine their impact on the conversion path. With its help, you can use and analyze multi-channel paths that users go through before making a conversion. AdButton specialists suggest using this tool in the work on optimizing advertising campaigns. Having mastered it, you can improve the distribution of the advertising budget and optimize the methods of attracting users.
* Touch in advertising is interaction with the audience. For example, one person saw the advertisement once = touch.