- 4 minutes – Targeted advertisement [HD Video] – Color
- My role: Director/Producer
An attempt to communicate with rail commuters in northern Chicago, transforming their phones and tablets into imperfect windows onto the physical experience of their commute.
Director’s statement
Being a passenger on a train is the ultimate metaphor for a lack of personal control: the route was planned decades ago by a faceless planning committee, and even the acceleration and braking of the train is controlled by an invisible person. The urge to dissociate is strong, and tools like smartphones are eager to help us do just that.
I present viewers with an eastward view from a northbound Red Line train, confusing the space between their physical state and the bodiless experience of engrossed device-usage. By directing viewers to reflect on their physical bodies and the total autonomy they have over them, I hoped to give them a moment of self-awareness and interrupt that dissociative state.
In previous experiments with YouTube advertising, I have played with the various demographic targeting tools available. For this project, I wanted to try and target a specific class of person in a specific region…
A rush-hour commuter on Chicago’s Red Line north of the Loop, seated sideways (the way most of the seats on the Red Line are oriented), facing windows that look out on Wrigleyville, Andersonville, Rogers Park. In an attempt to neutralize the experience of their commute, they are watching YouTube or playing an ad-supported game on a phone or tablet.
YouTube preroll ads are skippable after five seconds, but the videos themselves are not time-limited. In this case, I opted for a length of a little under four minutes. In order to mostly closely target the audience I hoped to reach, I limited my scope to unmarried people in the lower 70% of wage earners. I weighted my placements to play primarily during weekday rush hours. Google’s geographical targeting isn’t quite as granular as I would like, but I was able to limit the boundaries of the ad so that it would only play in ZIP Codes that contain the northern leg of the Red Line.
I really came up against the limitations of Google Ads’ targeting tools with this project. If given greater granularity, I would have liked to target viewers within fifty feet of a Red Line track. With access to device accelerometer data, it would be possible to only target devices moving faster than walking speed, and could even provide the opportunity to serve different videos to northbound and southbound viewers.