The phrase "attribution system" is correct and usable in written English.
It can be used in contexts related to assigning credit or responsibility, often in academic, technical, or digital environments.
Example: "The attribution system in our software ensures that all contributions are properly credited to their respective authors."
Alternatives: "crediting system" or "recognition framework".
We simply don't have anywhere near the expertise to build an airtight attribution system.
Then you'd need to use an attribution system like Adjust or Tune to see which campaigns delivered which device IDs.
In this phase, developers are running campaigns with a wide range of different sources, so they need a better attribution system.
Application of this identity attribution system has been shown to detect the Chameleon attack in a laboratory environment within a time frame of 23 to 97 s or 30 to 60 observations of beacon intervals.
The third, current phase is all about the shift to programmatic buying — in Wong's words, "the machines are taking over". In this phase, developers are running campaigns with a wide range of different sources, so they need a better attribution system.
Methods from automated coin image analysis in computer vision have been used for automated image recognition, based on feature extraction and segmentation of 2000 coins was presented in 2007 [32] and to an automation coin attribution system using image analysis by locally biased directional histograms in 2010 [19].
I haven't heard of any downstream conversion attribution systems connected to Twitter accounts or ads.
Greenfield points to two developments that he thinks will drive 2019 to be the "year of attribution". The first is the unification of traditional linear and digital brand metrics (measuring viewers, viewability, clicks, etc). with the multi-touch attribution systems.
After all, Wong said, many networks have their own attribution systems, and while they might work fine, publishers probably don't feel entirely confident that AdMob's can report accurately about one of its competitors, or vice versa.
Alternatively, if Facebook and Twitter really push their attribution systems, they could claim credit for driving purchases they only lightly influenced, or for delivering buyers that didn't even notice they saw an ad for what they bought.
It's critical that these social networks beef up their attribution systems because advertisers only want to plop down their dollars where they can see clear return on investment.
