1. Foot Traffic (Physical Presence), Pedestrian counts (hourly totals), Peak hour flow (lunch vs. dinner spikes), Commuter patterns (proximity to transit hubs), Vehicle volume (cars passing a storefront), Dwell time (how long people stay in one spot), Heatmaps (visual density of crowds), 2. Demographics (Who the Customer Is), Average household income, Age brackets (e.g., 18–24, 65+), Education level, Occupation/Employment status, Marital status, Homeownership rates, 3. Competition (Market Landscape), Competitor proximity (distance to nearest rival), Price benchmarking (how much they charge), Market share, Competitor "Popular Times" data, Service gaps (what rivals don't offer), Promotional offers/Perks (loyalty programs), 4. Behaviour & Target Users (Action & Intent), Search intent (keywords used in Google), Bounce rates (leaving a website quickly), Purchase history (past buying habits), Click-through rate (engagement with ads), Social media engagement (likes and shares), Brand loyalty (repeat visits).

Data types BE B2+

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