CPG / Beverage Bottlers
+77%
close rate
+68%
proposal rate
3X
Relevant leads to Sales
The problem
Millions of SMBs, no visibility on which ones matter now
Reps visit based on habit, not data
Low conversion from visits to actual sales
What Propin does
Identifies high-probability merchants using geospatial + behavioral data
Prioritizes daily routes, WhatsApp-ready
Filters noise — only actionable opportunities reach the rep
What this unlocks
More sales per rep, without adding headcount
Faster territory expansion with lower CAC
Daily actions — not dashboards
Relevant for BEPENSA, ARCA Continental, Coca-Cola bottlers
Traditional Trade / Distributors
2x
rep productivity
↓
cost per visit
The problem
Reps cover territories blindly
No prioritization of stores with real potential
High operational cost per visit with low return
What Propin does
Scores every store in the territory
Identifies whitespace — new opportunities hiding in plain sight
Optimizes routes based on conversion probability
The shift
More sales per rep, without adding headcount
Faster territory expansion with lower CAC
Daily actions — not dashboards
Built for distributors and traditional trade teams
Fintech / POS Acquisition
86%
relevant leads
1.7–3x
funnel lift
The problem
Millions of SMBs in funnel, very low signal on who converts
High CAC due to inefficient field targeting
Teams visiting the wrong merchants at the wrong time
What Propin does
Filters high-intent merchants from massive datasets
Prioritizes acquisition routes by conversion probability
Aligns field teams with data-driven daily targets
What this unlocks
Same team → more merchants acquired
Better unit economics per merchant
Scalable expansion without scaling headcount
Built for POS networks, fintech field sales, merchant acquisition teams
Vending & Route-Based Businesses
↑
revenue per machine
↓
route inefficiency
The problem
Location selection is manual and slow
High-traffic opportunities get missed
Routes built on habit, not performance data
What Propin does
Detects high-footfall, high-fit locations: offices, gyms, transit hubs
Prioritizes installation opportunities by revenue potential
Optimizes service and sales routes for operators
What this unlocks
Faster network expansion
Higher revenue per machine
Routes that adapt as the territory changes
Built for vending operators and route-based field teams
Retail & QSR Expansion
↑
store opening hit rate
↓
reliance on Excel / MapInfo
The problem
Expansion decisions rely on static demographics and broker intuition
Limited understanding of who actually moves in the area
Slow, manual process with high error rate
What Propin does
Combines mobile movement data + store performance benchmarks
Simulates cannibalization and demand potential
Maps competitor networks across geographies
What this unlocks
Higher hit rate on new store openings
Faster expansion decisions
Standardized location scoring across countries
For companies with multiple stores such as Adidas, Nike, Puma, Skechers, Super-Pharm and more