Audience Demographics & Footfall Study

ItsMyScreen has detailed data on every screen — location, size, structure, photos, specs. What we don't have is a picture of who's actually walking past them: age, gender, crowd type, or spending power.Right now "high-traffic" and "premium" locations are described on instinct and vendor claims, not real audience data. This project builds that missing piece — a real, location-by-location audience profile using remote research and proxy data methods.

• Research and profile the type of crowd around a set of ItsMyScreen locations using maps, public data, and secondary sources
• Estimate demographic markers (age range, likely gender split, crowd type — office/market/residential/transit)
• Estimate economic profile using observable proxies (property price bands, nearby retail brands, vehicle density via Street View) — not direct surveys
• Identify footfall estimates and their source, dominant traffic type, and visibility conditions
• Document your methodology clearly enough that another person could repeat it on a new location

A location-by-location Audience Demographics Profile, plus a written methodology note explaining how each estimate was derived and its confidence level.

MBA students (1st or 2nd year), any specialization. No prior market research or DOOH experience required. Comfortable with independent research and structured judgment calls from indirect data.

Full brief upfront + periodic check-ins with the ItsMyScreen team