Metroreizigers bereikt met digitaal advertentie scherm

Audience-based targeting: DOOH ads at the right time and in the right place

Optimise your digital outdoor advertising with audience-based targeting. CS Digital Media uses passenger data, travel frequency and triggers such as weather and events to reach the right audience and increase conversions.

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Segmenting by day, time and location

Alongside TV and radio, Out of Home is one of the mass media that reach everyone aged 13 and over. For advertisers, the advantage of this media type is convenience; the downside is cost. Until recently, after all, it wasn't possible to segment by screen and location. With DOOH, the digital version of Out of Home, it is. A key feature of DOOH is that the media point (the digital screen) reaches someone in a specific context at a specific location (commuting, shopping and so on). What's more, the medium can't be 'switched off'. By combining online media with DOOH, there's no longer any need to take a scattershot approach to your target audience. Media can now be segmented by day, time and location.

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Registered data collector

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In some cases, the advertiser really does target the entire audience. But increasingly, advertisers are using DOOH per time slot, per day and per part of the week. CS Digital Media supports advertisers with footfall patterns by time and location, which it verifies periodically, including through sample checks. To be able to carry out these checks, for example via Wi-Fi tracking services that count visitors in real time and anonymously, CS Digital Media is registered as a data collector with the Dutch Data Protection Authority (Autoriteit Persoonsgegevens).

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Triggers

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These footfall patterns make it possible to advertise at moments that are relevant to the client, effectively reaching the intended audience in the right place. Triggers such as weather conditions (sun, rain, snow), current news and/or nearby events further improve the quality of a campaign.

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Conversions

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Future tools available to advertisers will include facial and gender recognition via cameras, providing insight into certain audience characteristics. This makes it possible to determine age and gender, and the data also shows the conversion from opportunity to see to actually looking at the digital screens.

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