Find out how Admo.tv identifies who your online visitors are on your website or mobile app generated by your TV ad.
![discover: Admo.tv identifies online visitors from TV ads on websites/apps](https://images.prismic.io/admo/15a34851cf41d1be72ea17e061a15c0a613f26c0_attribution-header-uk.png?auto=compress,format)
7 years
Expertise in TV attribution
+40
Scoring criteria used to identify TV visitors
![](https://images.prismic.io/admo/15a34851cf41d1be72ea17e061a15c0a613f26c0_attribution-header-uk.png?auto=compress,format)
Measuring the number of TV visits
![](https://images.prismic.io/admo/15a34851cf41d1be72ea17e061a15c0a613f26c0_attribution-header-uk.png?auto=compress,format)
- Admo.tv puts a tag on your website to track your traffic in real time, second by second.
- Our measurement algorithm extrapolates your traffic over time and creates a predictive baseline (natural traffic).
- When your ad is broadcast, our algorithm makes the difference between the actual traffic line and the traffic you would have had without the fluctuation created by TV.
![](https://images.prismic.io/admo/50650752b615c45fdf51d0ab955e29ece71ed40e_attribution-2-uk.png?auto=compress,format)
Selection of all potential TV visitors
![](https://images.prismic.io/admo/50650752b615c45fdf51d0ab955e29ece71ed40e_attribution-2-uk.png?auto=compress,format)
- A TV spot has an impact time, also called "attribution window", which can vary by several minutes.
- In Admo.tv, this impact time is calculated dynamically because it can vary for each broadcast.
- Our attribution algorithm is counting all visitors who came during the TV impact period: they are part of the TV attribution.
![](https://images.prismic.io/admo/02d04e7b590e5b68922ecc4c3a93fd3fa70dc16d_attribution-4-uk.png?auto=compress,format)
Scoring and refining of TV visitors selection
![](https://images.prismic.io/admo/02d04e7b590e5b68922ecc4c3a93fd3fa70dc16d_attribution-4-uk.png?auto=compress,format)
- Our scoring algorithm assigns points to the visitors based on more than 40 criteria to determine which ones are most likely to come from TV.
- The criteria studied are, for example, the device or browser used, bounced rate, the source of acquisition (SEO, SEA, URL...) or reaction time to the TV spot.
- The algorithm evolves thanks to machine learning: it refines the scoring during each campaign and adjust the rating for each spot.