Erosion risks

• Estate saturation and self-cannibalisation from rapid openings
• Footfall shifts away from traditional locations
• Rent, rates, and wage inflation pressuring shop-level economics

Leading indicators

• Net new openings vs closures and relocations
• Like-for-like sales growth
• Shop contribution margin and payback on new sites

Counterarguments

• Convenience is contestable: rivals can open nearby stores and buy premium sites
• Higher store density can reduce incremental returns via cannibalisation

Erosion risks

• Input-cost shocks (wages, energy, ingredients) overwhelming efficiency gains
• Operational disruptions in manufacturing or distribution
• Higher capex needs to add capacity (execution risk)

Leading indicators

• Gross margin and supply chain cost ratios
• Capacity additions and commissioning milestones
• Service levels (in-stock availability, waste rates)

Counterarguments

• Large QSR peers can achieve comparable efficiency via outsourcing or scale supply contracts
• Vertical integration can reduce flexibility if demand shifts quickly

Erosion risks

• Brand damage from quality, food safety, or allergen incidents
• Menu fatigue or innovation missteps
• Consumers trading down further or switching to competitors/promotions

Leading indicators

• YouGov Brand Index scores and 'value' ranking
• Customer satisfaction/NPS and complaint rates
• Traffic and transaction growth vs price-led growth

Counterarguments

• Food-to-go remains highly price- and convenience-driven; brand may have limits
• Competitors can match product quality and undercut pricing in local markets

Erosion risks

• Loyalty offers become discount-driven and compress margins
• Competitor apps and delivery platforms reduce differentiation
• Data/privacy changes reducing targeting effectiveness

Leading indicators

• App scan rate and active users
• Frequency and basket size of app-engaged customers
• Redemption rate and margin impact of promotions

Counterarguments

• Consumers can easily multi-home across food apps; switching costs are low
• Delivery aggregators can own the customer relationship and data

Erosion risks

• Partner economics deteriorating (traffic and wage/rent pressures) leading to closures
• Renegotiation pressure on fees or supply pricing
• Competitive franchisors winning new sites

Leading indicators

• Franchise system sales growth
• Net franchised shop openings/closures
• Royalty/licence fee income trend

Counterarguments

• Franchise partners can choose competing brands for future sites
• Wholesale relationships can be re-tendered or replaced

Erosion risks

• Supply constraints as partner network expands
• Input-cost inflation passed through to partners
• Logistics disruptions affecting service levels

Leading indicators

• On-time/in-full delivery metrics
• Partner satisfaction and retention
• Supply chain capacity utilization

Counterarguments

• Partners may source alternative products if economics worsen
• Other food brands can offer turnkey supply models to franchisees

Erosion risks

• Brand weakening reduces partner traffic
• Channel conflicts between company-operated shops and franchise sites
• Reputation shocks impacting the whole network

Leading indicators

• Brand metrics and customer sentiment
• Franchise enquiries and new partner sign-ups
• Partner-level sales per outlet (system sales)

Counterarguments

• Partner success can be driven more by location/traffic than brand
• Wholesale partners may prioritize margin and range over single-brand pull