INTRO PROFIT market DATA TIMELINE
SALES & SITES
Advance scout the market to test site selection assumptions & bridge the gap to brick and mortar.
Geo-tag Sales - All sales will be tagged to particular sites by pickup location or delivery address
Categorize - Sales dataset split by time period (AM / PM) & order type (Delivery / Pickup)
Micro-economies - Data can be mapped and overlaid to measure site diversity and sales intensity inside particular small pockets or to examine the viability of potential sites
Market Comps - After arriving to multiple market tests, different neighborhoods can be measured against each other in-market and different markets can be tested
MAPPING THE MARKET
Consistent & simple methodology for mapping data in diverse locations.
#LIVE
Daypart : PM
Ordertype : Delivery
#WORK
Daypart : AM
Ordertype : Pickup & Delivery
#PLAY
Daypart : PM
Ordertype: Pickup
Over time, market data can be drilled into to understand the viability of each market and provide a platform for comparative analysis. Because sales are geotagged, heat map with all market data can be built in real-time dynamically to aide in site selection.
By applying this methodology, sales can be comp’d against existing brick & mortar, other emergent markets and data can be gathered while turning a profit & building brand adherence.
PROJECT TIMELINE
ZERO DAY
Track Sales & Sites Tweak and setup data mining operation to ensure that accurate information is captured without interrupting or overburdening operations.
30 DAY
Balance Map Use data to inform site selection and seek out sites to balance the portfolio with all three data types - Live, Work & Play.
60 DAY
Identifying Clusters Build a real-time data map that clusters different types of data to aide in site selection
90 DAY
Neighborhood Maturity Search for specific sites tested out and proved to maximize all three data types - Live, Work & Play. Test out potential site developments to bridge gap during market buildup.