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Uncovering how Auntie Anne's targets high-visibility nodes to capture organic mall foot traffic.
In the highly competitive ecosystem of Malaysia's mega-malls—from Mid Valley Megamall to Sunway Pyramid—foot traffic is the ultimate currency. However, the commercial real estate market is often built on a fundamental asymmetry of information. Mall management teams routinely lease spaces based on "Total Mall Footfall" (e.g., "30 million visitors annually"). This is a dangerous vanity metric. Total footfall dictates the macro-health of the mall, but it offers absolutely zero guarantee of traffic yield to a specific, localized retail lot.
For impulse-driven, grab-and-go F&B brands like Auntie Anne's or llaollao, the business model lacks "destination value"—consumers rarely drive to a mega-mall exclusively to buy a pretzel. Instead, their success relies 100% on Spontaneous Visual Interception. The transaction only happens if the store is perfectly placed within the natural flow of human movement. Consequently, the leasing challenge shifts from macro-selection to microscopic spatial precision, where a distance of mere footsteps can dictate profitability.
As brands navigate these massive Gross Leasable Areas (GLA), they face three critical micro-geography traps:


By mapping existing outlets in relation to competitor brand networks on a single 2D map view, Scrappy helped the team move away from slow manual spreadsheet scouting to instant geographic gap mapping.
Load Auntie Anne's directly into the Scrappy dashboard and explore the raw spatial data yourself.
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