A competitive intelligence analysis based on Realytics Intelligence Platform data
Michele Ardoni | Experviser | May 2026
Observation period: March 2025 – March 2026
Executive Summary
Realytics data on four of the leading QSR brands operating in Italy – McDonald’s (863 outlets), Burger King (343), Old Wild West (257) and KFC (164) – reveals a competitive landscape that challenges several widely held assumptions about the sector.
The brand with the largest network and the highest Market Performance Score records the panel’s lowest CSAT (48.5%).
The brand with the fewest outlets matches the category leader’s customer satisfaction score. A single McDonald’s outlet in Milan captures 55% of local foot traffic in a trade area scoring just 29/100.
Taken together, these three signals describe an industry where scale and customer satisfaction move in opposite directions, where brand perception is systematically weaker than market share would suggest, and where location decisions continue to be made with tools that fall far short of the intelligence now available.
1. Market Performance: The Scale Paradox
Market Performance Score vs. CSAT
| Brand | Outlets | Market Score | CSAT | Avg Check EUR |
| McDonald’s | 863 | 100th percentile | 48.5% | 13.1 (+6.1%) |
| Burger King | 343 | 92nd percentile | 67.8% | 14.6 (+2.8%) |
| Old Wild West | 257 | 89th percentile | 73.0% | 22.4 (-4.0%) |
| KFC | 164 | 85th percentile | 72.7% | 12.9 (-22.1%) |
The Realytics Market Performance Score is traffic-based: it reflects a brand’s ability to generate and sustain visitor flows. McDonald’s dominates on this dimension – with 863 outlets and capillary national coverage, a 100th percentile ranking is structurally inevitable.
The problem is the gap between traffic and satisfaction.
McDonald’s has a CSAT of 48.5% – 24.5 percentage points below Old Wild West and KFC. This is not a marginal difference: it is a structural deficit indicating that the traffic generated translates into experiences that fail to meet consumer expectations.
Burger King shows an interesting dynamic: 92nd percentile performance with 67.8% CSAT and a rising average check (+2.8%). It is the brand that best balances scale and perceived quality within the traditional fast food segment.
Old Wild West and KFC converge on CSAT (73%) but diverge sharply on average check: OWW at EUR 22.4 (down 4%) vs KFC at EUR 12.9 (down 22.1%). The KFC ticket decline is a signal to monitor: it may indicate aggressive promotions to sustain volumes, or deflationary pressure in the chicken QSR category.
2. CX Benchmarking: Where McDonald’s Loses and Where It Could Recover
CSAT by Topic – Benchmark vs. Competitors
| Topic | Segment Avg | McDonald’s | Burger King | Old Wild West | KFC |
| Assortment | 48% | 29% | 44% | 68% | 50% |
| Food & Drinks | 71% | 53% | 75% | 77% | 78% |
| Location | 79% | 71% | 80% | 87% | 80% |
| Place | 68% | 59% | 71% | 74% | 68% |
| Pricing | 41% | 25% | 47% | 41% | 49% |
| Service | 56% | 38% | 56% | 65% | 66% |
| Staff | 77% | 60% | 80% | 83% | 84% |
McDonald’s is below the segment average on all seven topics. There is no single dimension where the brand performs at or above average. This is not a point-specific issue – it is a systemic customer experience deficit.
Most critical gaps:
Assortment (-19pp vs. average): With a CSAT of 29%, product assortment is perceived as the primary weakness. This is consistent with the Customer Requirements analysis (Section 4): ‘Great Assortment’ is a Must-Be attribute with an Expectation Index of 22.9 but an Enjoyment Index of only 9.5. Customers expect variety but are not satisfied with what they find.
Pricing (-16pp vs. average): Pricing CSAT at 25% – the panel’s worst – despite an average check of EUR 13.1 that is the second lowest. The issue is not the absolute price level but the perceived value-for-money. Customers spend less than at OWW but feel less satisfied with what they receive.
Service (-18pp vs. average) and Staff (-17pp vs. average): Two correlated topics pointing to an operational execution problem. Brand Perception confirms: ‘Excellent Service’ at -2.0 and ‘Friendly Staff’ at -1.5 – both in weak-to-off association territory.
3. Brand Perception: McDonald’s Identity Problem
Brand Perception Scores (scale -10 to +10)
| Attribute | McDonald’s | Burger King | Old Wild West | KFC |
| Great Assortment | -2.1 | -1.8 | +1.8 | -3.2 |
| Delicious Food & Drinks | -2.5 | +0.9 | +2.1 | +1.8 |
| Great Location | +0.8 | -0.2 | +1.0 | -1.7 |
| Great Place | -0.6 | +0.7 | +0.9 | -1.1 |
| Fair Pricing | -2.6 | -1.4 | +0.7 | -1.6 |
| Excellent Service | -2.0 | -0.4 | +0.4 | -0.3 |
| Friendly Staff | -1.5 | +1.4 | +2.1 | +1.8 |
McDonald’s registers negative values on all seven attributes. Old Wild West leads on five of the seven. KFC and Burger King show strength on Staff and Food respectively.
The most significant finding: ‘Fair Pricing’ at -2.6 for McDonald’s is the second-worst score in the panel (after KFC on Assortment at -3.2). For a brand that has built its entire value proposition on economic accessibility, a pricing perception score this negative represents a first-order strategic problem.
McDonald’s has only one attribute in positive territory: ‘Great Location’ at +0.8. The distribution network is recognised as a strength – it is the only positive association the brand maintains in the Italian consumer’s mind.
4. Customer Requirements: What Really Matters to the Consumer
The Kano analysis (Customer Requirements) maps attributes across three categories – Must-Be, Performance, Attractive – based on the relationship between expectation and enjoyment.
Attribute Matrix – McDonald’s Italy
| Attribute | Expectation Index | Enjoyment Index | CSAT | Type |
| Great Assortment | 22.9 | 9.5 | 29% | Must-Be |
| Fair Pricing | 22.5 | 7.5 | 25% | Must-Be |
| Excellent Service | 26.2 | 15.8 | 38% | Performance |
| Delicious Food & Drinks | 19.8 | 22.5 | 53% | Performance |
| Great Location | 9.4 | 23.2 | 71% | Attractive |
| Great Place | 16.6 | 23.8 | 59% | Attractive |
| Friendly Staff | 17.9 | 27.3 | 60% | Attractive |
Critical reading:
Must-Be attributes (Assortment, Pricing) carry the highest expectations (22.9 and 22.5) and the lowest CSAT scores (29% and 25%). This combination is the most dangerous: they are non-negotiable prerequisites that the brand fails to meet. Failure to satisfy a Must-Be generates active dissatisfaction – it is never neutral.
Excellent Service is a Performance attribute with the highest Expectation Index in the panel at 26.2. It is what customers mention most frequently, and CSAT stands at 38%. The gap between how salient service is in the experience and how well the brand delivers it is enormous.
Friendly Staff is Attractive with the highest Enjoyment Index (27.3) and a CSAT of 60%. This is the territory where differentiation and loyalty could be built – but a perception score of -1.5 shows the brand is not doing so.
5. Willingness to Pay: Where Price Creates or Destroys Value
| Attribute | Low (1-10 EUR) | Mid (10-20 EUR) | Premium (20+ EUR) |
| Great Location | High | Moderate | — |
| Great Assortment | — | — | High |
| Great Place | Extra High | — | — |
| Fair Pricing | High | — | — |
| Friendly Staff | — | — | Extra High |
| Excellent Service | Low | Moderate | — |
| Delicious Food & Drinks | — | — | Extra High |
Operational implications:
In the Low segment (EUR 1-10) – where McDonald’s primarily operates – the willingness-to-pay drivers are ‘Great Place’ (Extra High) and ‘Great Location’ (High). The low-spend consumer is willing to pay for the physical environment and accessibility. It is not food quality or service that drives choice – it is the place itself.
In the Premium segment (EUR 20+) – Old Wild West’s territory – the drivers are Staff, Food and Assortment. Precisely the three attributes where McDonald’s has its weakest perception scores.
This explains why Old Wild West can sustain an average check of EUR 22.4: the consumer who spends more is looking for exactly what OWW delivers and McDonald’s does not.
6. Customer Overlap: Who Shares Customers with Whom
Cross-Shopping – Top Brands Also Visited by Each Brand’s Customers
| Brand | Top 5 Cross-Visited Brands (% overlap) |
| McDonald’s | McDonald’s 20.0% | Burger King 9.6% | Autogrill 5.7% | Old Wild West 4.8% | Roadhouse 2.6% |
| Burger King | McDonald’s 22.0% | Autogrill 8.4% | Old Wild West 5.2% | KFC 4.2% | Roadhouse 3.2% |
| Old Wild West | McDonald’s 22.0% | Autogrill 8.4% | Burger King 7.9% | Old Wild West 5.2% | KFC 3.2% |
| KFC | McDonald’s 15.4% | Autogrill 7.7% | Burger King 5.9% | Roadhouse 4.0% | La Piadineria 3.0% |
Key observations:
McDonald’s is the most cross-visited brand overall – it appears in the top 5 of all competitors. This is both an advantage (ubiquity) and a risk: consumers who visit McDonald’s also visit competitors, meaning they have direct and frequent benchmarks for comparison.
Autogrill appears in the top 5 of all brands with shares between 5.7% and 8.4%. This signals that a significant portion of the QSR target audience is transit-based (motorways, stations) – a consumer segment with very different purchasing behaviour from the urban customer.
7. Consumer Demographics: Asymmetries by Brand
Affinity Index by Consumer Segment – Base 100 = Market Average
| Brand | Gen X | Gen Y | Gen Z | Men | Women |
| McDonald’s | 82% | 104% | 145% | 113% | 86% |
| Burger King | 118% | 91% | 85% | 113% | 86% |
| Old Wild West | 101% | 98% | 110% | 113% | 86% |
| KFC | 120% | 91% | 82% | 105% | 95% |
Key readings:
McDonald’s has a Gen Z affinity index of 145% – significantly above market average. It is the panel’s youngest brand by customer profile. This is consistent with low CSAT scores: Gen Z is the most demanding segment in terms of authenticity, food quality and experience – precisely the dimensions where the brand is weakest.
Burger King and KFC show similar patterns: strong Gen X affinity (118% and 120%), weak Gen Z. These are brands with a more mature and loyal customer base, less exposed to social trends.
Old Wild West has the most balanced generational profile – a relatively uniform distribution consistent with its ‘family-friendly’ positioning and higher average check.
8. Foot Traffic and Activity: Operational Patterns
Traffic is concentrated in the 12:00-21:00 window, peaking at 20:00 (index ~80). The curve is relatively flat between noon and 9pm, with an evening peak that is more pronounced than the lunchtime peak. This pattern is consistent with a predominantly young (Gen Z) customer base eating dinner out.
The competitor with the highest traffic share in the sample area (Milan Rogoredo): Pizzikotto Pizzeria & Cucina Restaurant – 15% traffic share, 68% CSAT. This is not another QSR chain: it is an Italian restaurant. The real competitor of a McDonald’s in a peripheral Milan location is not Burger King – it is informal Italian dining.
9. Location Intelligence: The Via Rogoredo, Milan Case Study
This is the most operationally relevant finding in this report.
Trade Area Score – Outlet Via Rogoredo 110, Milan
| Factor | Score | Notes |
| Trade Area Score Total | 29/100 (Low) | Composite index across 6 factors |
| Population | 19/100 | 12,100 people in the catchment area |
| Foot Traffic | 6/100 | Index 0.2 vs. market area — very low organic flow |
| Market Availability | 92/100 | 27 QSR competitors — low competitive saturation |
| Retail Density | 8/100 | 326 total outlets, index 0.2 — sparse commercial area |
| Customer Experience | 85/100 | Area CX level is high — quality bar already set |
| Purchasing Power | 6/100 | Index 0.2 — below-average spending capacity |
An outlet with a Trade Area Score of 29/100 that captures 55% of local foot traffic and holds a CSAT of 92%.
This combination requires careful interpretation. The score of 29/100 does not reflect outlet performance – it reflects the structural characteristics of the area: low population (12,100 people), low purchasing power, low organic foot traffic. It is a peripheral, low-density residential area.
In this area with these characteristics, McDonald’s has built a dominant position: 55% traffic share (up +24pp YoY) and 92% CSAT (up +47pp YoY). The brand is the absolute leader in a limited market.
The Realytics insight is explicit (section ‘Limited Scale’): the outlet is outperforming in a constrained trade area. Growth is capped by market size. The strategic priority is stability and expansion into stronger trade areas – not additional investment at this location.
Competitive Composition of the Area
- 33% chains / 67% independent in the outlet trade area (vs. 20/80 in the market area) – the zone is more ‘chainified’ than average
- Business Survival Rate: 84% (outlet trade area) vs. 88% (market area) – slightly above-average commercial mortality
- In the period Apr 2025 – Mar 2026: 7 openings, 9 closures in the area – net negative dynamics
Area Demographic Profile
- Gen X overrepresented: 120% (up from 118%)
- Gen Z underrepresented: 88% (up from 83%)
- Men: 103% (overrepresented), Women: 96% (underrepresented)
- Male-skewed, Gen X area – consistent with a commuter / adult residential context
Seasonality
Seasonality Index: 4.74 – stable demand with marked summer peaks (July ~20%, August ~15% of annual distribution). The area has higher seasonality than the market average, likely influenced by summer traffic on the nearby A1 motorway.
10. Strategic Synthesis by Brand
McDonald’s – Diagnosis and Priorities
Diagnosis: Maximum-scale brand with minimum satisfaction. The gap between traffic performance (100th percentile) and CX (48.5% CSAT) is the most critical signal in the analysis. The consumer arrives – because McDonald’s is everywhere – but is not satisfied with what they find.
Immediate priorities:
- Assortment and Pricing – the two Must-Be attributes with the lowest CSAT. These are non-negotiable prerequisites. Without improvement here, any other CX intervention will have limited impact.
- Staff and Service – Attractive attributes with high Enjoyment Index. This is the territory where differentiation and loyalty are built. Current scores (-1.5 on Friendly Staff, -2.0 on Excellent Service) indicate deep operational gaps.
- Location strategy – the only positive Brand Perception attribute (+0.8). It must be protected and capitalised. New openings must be selected with rigorous Trade Area Score criteria.
Burger King – Diagnosis and Priorities
Diagnosis: The most balanced brand in the panel. 92nd percentile performance, 67.8% CSAT, rising average check. Strength on Staff (+1.4 Brand Perception) is a differentiating asset relative to the main competitor.
Priorities:
- Assortment – the only real weakness (44% CSAT, -1.8 Brand Perception). Less severe than McDonald’s but still below average.
- Gen X consolidation – solid demographic base (118% affinity). Targeted loyalty programmes.
Old Wild West – Diagnosis and Priorities
Diagnosis: CX leader in the panel on almost all topics. Highest average check (EUR 22.4) declining 4%. The risk is ticket pressure in an inflationary environment that could push customers toward less expensive formats.
Priorities:
- Average ticket defence – the 4% decline requires quarter-by-quarter monitoring.
- Geographic expansion – with 257 outlets it has the greatest white space potential of the brands analysed.
KFC – Diagnosis and Priorities
Diagnosis: CSAT equivalent to OWW (72.7%) with the smallest network (164 outlets) and the sharpest ticket decline (-22.1%). The ticket drop suggests competitive pressure or an aggressive promotional strategy. Gen X strength (120%) is a demographic advantage in terms of visit frequency and spend per visit.
Priorities:
- Average ticket stabilisation – the -22.1% is an alarm signal requiring detailed pricing analysis.
- Network expansion – with 164 outlets and a Market Score of 85th percentile, the brand has room to grow while maintaining its current CX quality.
11. The Value of the Platform: What Was Not Visible Before
This report was produced entirely through the Realytics Intelligence Platform, without requiring field research, mystery shopping, surveys or briefings with individual chains.
The data shown here – CSAT at individual outlet level, foot traffic share by address, trade area demographic profile, brand perception across 150+ attributes, competitor list within a 500-metre radius – is available weekly, for 200 million points of sale, across 195 countries.
What previously required weeks and significant budget:
- Trade area analysis for a new opening: demographic estimates from public sources, commissioned market research, physical site visits
- Competitive benchmarking: mystery shopping, aggregated review analysis, focus groups
- Brand perception tracking: periodic surveys, consumer panels, NPS programmes
This intelligence is now available in real time, from a browser, for any geographic market.
The 0.94 correlation with Technomic sales benchmarks (independent validation across 236 brands over 3 years) is not a marketing claim – it is a methodological validation that allows Realytics data to be used as a reliable proxy for real commercial performance.
Conclusions
The Italian QSR market in 2025-2026 presents a competitive structure in which McDonald’s scale advantage does not translate into an experience advantage. Mid-size brands (BK, OWW, KFC) consistently achieve significantly higher CSAT operating with smaller networks and comparable or higher average checks.
For sector decision-makers – CEOs, CFOs, Development Directors – three implications stand out:
- The distribution network is no longer a self-sustaining competitive advantage. The consumer has access to higher-quality alternatives at comparable distances. The next opening must be preceded by rigorous analysis of trade area attractiveness, latent demand and local demographic profile.
- CX is measurable and benchmarkable in real time. There is no longer any excuse for not knowing how a brand performs against competition on every single experience topic, at national level and per individual outlet.
- Competitive intelligence has been democratised. Mid-size chains can now access the same level of insight that was previously available only to large players with multi-million research budgets.
Analysis by Michele Ardoni, Experviser – Partner for Italy, Realytics Intelligence Platform.
Contact: micheleardoni.com | experviser.com
Data: Realytics Intelligence Platform, March 2025 – March 2026. Location-specific data: McDonald’s Via Rogoredo 110, Milan.