Number of times a single user is exposed to a campaign. The frequency of exposure must be balanced to achieve the effect of memory of the message in the audience without saturating it through overexposure.
Anonymous or registered subscriber who accesses the content through a browser or software program by assigning a personal identifier that is registered in the operator's internal statistics system.
An ad fraud scheme in which a malicious party impersonates another application, causing the ads to redirect to applications that mimic other more popular apps.
Term used to define the costs applied for the use of technological solutions of the programmatic ecosystem. Among these fees are those applied for using SSP, Ad Exchange, DSP, DMP and the agencies' trading desks.
Tag that allows to identify an agreement between buyers and sellers in the programmatic ecosystem. For example, buyers can purchase inventory at defined prices on a private exchange that may not be available to other bidders.
A transaction between a publisher and an advertiser that takes place through a programmatic ad buying system. The inventory is sold and guaranteed directly.
Metric used to count the advertising impacts generated in online campaigns that refers to the number of times an advertising piece has been served on the client device.
Technology that allows advertising to be served on digital media, facilitating the segmentation of campaigns. The system keeps statistics of the results generated by the actions as well, favouring their analysis and optimization. There are two main types of Ad servers: Support, in charge of serving the campaigns in the publisher, prioritizing them according to the publisher's business priorities. Agency, which facilitates the monitoring of the campaigns served by the publishers' Ad servers, making it possible to break up data, and measures the effects of the campaigns on the digital properties of the advertisers.
Stands for Average Revenue Per User. This metric indicates how much the viewer spends on the services of an operator during a given period, thus making it easier to analyze and plan the profitability of an IPTV / OTT service.
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