Tazeros – İnsan davranışı hakkında her şeyi biliyoruz

Tazeros Global Systems

Out of home

The outdoor advertising market has always needed a stable data source for media meters. More than 3 years ago, together with the largest providers of outdoor advertising and advertising on transport, we created an algorithm and a mathematical model that combine data on the movement of users on the street with information about their online behavior. The solution is used both for analyzing the audience around advertising structures and for dynamically generating transport routes.

Our mediometer receives data from mobile operators, Wi-Fi networks, bank checks and city transport infrastructure

Using behavioral metrics, we can accurately assess and predict the entire journey that a client takes

By integrating our pixel you can effectively solve the problem «‎offline-to-online»‎ and «‎online-to-offline»‎

Around each static structure, the audience is analyzed, which was facing a certain side. 60% to 80% of the audience can end up being tied to our behavioral data. As a result, the client receives a dashboard updated in real time with all metrics, including forecasting advertising budgets.

Data intersection

Thanks to the many sources of open data, as well as a large partner network, we can find intersections between various social networks, mobile numbers and other identifiers. A social network account can be converted: to a mobile phone - 24%; to the car number - 71%; to another social network - 97%; to our ID - 100%. The digital signature of the browser can be converted: to an account on a social network - 83%; to an OFD data - 18%; to our ID - 100%. Mobile phone can be converted: to MAC address - 67%; to website visits - 90%; to our ID - 79%.

As an inverse problem, we can, according to the given audience criteria, find the points with the greatest concentration of the audience and pass transport routes through them. For static constructs, potential addresses can also be processed by our algorithms.

Transport advertising

If the client has information about the movement of vehicles in real time, we can calculate the geographic squares of a media meter with a very small area, which allows us to understand at what moment the moving advertising structure crossed which audience. We find the maximum number of geotags for each person and, knowing the time, calculate his route and movements. Then we combine this with GPS data for public transport (for public transport), weather and environment. We calculate the track angles and select people who were within a radius of 3 meters for 1 - 3 minutes and looked at the structure at an angle greater than 30 °. Using our knowledge about these people, we prepare information cuts and update the client dashboard every 5 - 30 minutes. We use additional identification methods to trace a person's path to the site (our pixel) or to an offline point of sale (camera with visitor recognition).

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