Full Report • 29 PagesA4 Landscape
Market Intelligence Report

The Visibility

Gap

What Brands Can't See in Portugal's On-Trade

DIG-INHoreca Data Insights
January 2026

Executive Summary

The Opportunity

Portugal's 68% on-trade beer consumption — the highest in Europe — represents a structural market reality that most brands cannot see. Not because the data doesn't exist, but because the tools were built for retail-dominant markets. The result: four critical blind spots that compound from baseline through execution.

Four Critical Gaps

The Baseline Gap

Official estimates range from 25,000 to 74,524 establishments. DIG-IN verified: 84,222 active venues. Before any strategic analysis begins, market sizing is already 40% off.

The Execution Gap

Even with accurate baselines, distribution does not equal visibility. We assessed 636 brands across 2,569 Lisboa outlets revealing an 11× gap between leaders and challengers with equivalent distribution infrastructure.

The Forecasting Gap

Even with visibility, timing matters. Operating windows and geographic concentration create significant engagement differentials. Tourist corridors represent activation windows that annual planning cycles miss entirely.

The Discovery Gap

Even with timing, channel scope matters. Hotel F&B generates 205M+ food consideration moments annually with 5× higher engagement, yet remains invisible to restaurant-focused market sizing.

Key Statistics

Verified establishments84,222
Closures in 202516,484
Openings in 202514,021
On-trade consumption68%
Visibility gap11×
Baseline variance40%
Hotel F&B occasions205M+
DIG-IN

provides the intelligence framework to close these gaps — starting with baseline reality that official statistics cannot capture.

DIG-IN | The Visibility Gap Report2

Contents

Section 1: Market Context4
The 68% Reality
A Structural Pattern
The 40% Baseline Problem
What 2025 Actually Looked Like
Why Official Statistics Fail
The Tools Brands Use Today
Section 2: The Execution Gap10
Distribution vs Visibility
What the Sample Reveals
Brand Rankings
Category Battlegrounds
National Extrapolation
Section 3: The Forecasting Gap15
Operating Windows
Geographic Concentration
The Outdoor Multiplier
Section 4: The Discovery Gap19
Hotel Bed Economics
82.1 Million Nights
Hotels as F&B Influencers
Where Reach Concentrates
Preference Formation
Infrastructure Forward Signal
Section 5: Market Landscape25
Quality Distribution
Format Performance
Section 6: Implications & Methodology26
The Gap at a Glance
What This Means for Brands
From Dashboard to Infrastructure
Methodology & Contact
DIG-IN | The Visibility Gap Report3
Section 1: Market Context

The 68% Reality

0%
On-Trade Beer Consumption
Highest in Europe

On paper, the European beer market is receding. EU production has fallen from roughly 367 million hectolitres in 2019 to around 345 million in 2024. Consumption remains well below pre-COVID levels.

But the deeper issue lies in where consumption happens. Before the pandemic, roughly one-third of beer consumption in Europe happened in the on-trade — bars, restaurants, cafés, and pubs. Today, that share has dropped closer to 25%.

Portugal sits at the opposite end of this spectrum. With 68% of beer consumption happening in the on-trade, winning in Portugal is definitionally not about shelf space or supermarket promotions. It's about restaurants.

This isn't a quirk of beer culture. It reflects how Portuguese consumers live — a café-and-restaurant-centric way of life that extends across categories.

DIG-IN | The Visibility Gap Report4

A Structural Pattern, Not a Beer Anomaly

68%
Beer On-Trade
vs ~40% EU avg
~45%
Coffee Foodservice
vs ~20% EU avg
~30%
Wine On-Trade
vs ~25% EU avg
9.2%
Household F&B
vs ~7% EU avg

The pattern extends beyond beer:

Coffee

Portugal's foodservice coffee channel captures approximately 45% of consumption, nearly double the European average of around 20%. The café is not just where Portuguese drink coffee — it's a social institution.

Wine

The on-trade channel captures roughly 30% of Portuguese wine consumption, above the EU average of approximately 25%. The on-trade represents a critical venue for premium positioning and brand discovery.

Household Spending

Portuguese households allocate 9.2% of total expenditure to food and beverages consumed outside the home, compared to approximately 7% for the EU average.

Restaurant Frequency

59% of Portuguese adults eat at a restaurant at least once per week, among the highest rates in Europe.

The implication is clear: any brand strategy built primarily on retail data is operating with structural blind spots in this market.

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Section 1: Market Context

The 40% Baseline Problem

How many restaurants actually exist in Portugal? It depends who you ask.

Some institutions
74,524
Sectoral databases
~35,000
Industry reports
25,000-40,000
DIG-IN Verified
84,222
Up to 40% discrepancy
0
active venues
January 2025
Operationally verified, not registry-derived

When your baseline is 40% wrong, every subsequent calculation — market share, distribution coverage, competitive positioning — compounds the error.

DIG-IN | The Visibility Gap Report6
Section 1: Market Context

What 2025 Actually Looked Like

The market isn't static. Neither is our view of it.

0
Closures
Doors closed to customers
0
Openings
New venues operational
-2,463
Net Change
Market contraction
Official Estimates
Various estimates: 1,000-5,000 closures
DIG-IN Verified
16,484 closures · 14,021 openings · tracked monthly

Official statistics track when companies legally dissolve — often 12+ months after doors close to customers.

DIG-IN tracks when restaurants actually stop operating. The difference: real-time market intelligence versus historical legal records.

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Section 1: Market Context

Why Official Statistics Fail

Traditional market data sources were never designed for on-trade visibility. Four structural gaps explain why.

Annual Update Cycles

What they track

Aggregate totals updated annually from administrative records and surveys.

What they miss

Real-time openings, closures, and seasonal shifts happening weekly across the market.

Decisions are based on a market snapshot that may be 12–18 months old.

👤

Registration-Based Counting

What they track

Legal entities registered with tax authorities and business registries.

What they miss

Multi-location groups, shared licences, and venues operating under a single VAT number.

The true number of operating venues is systematically undercounted.

🏷

Category Rigidity

What they track

Single NACE code classification per registered entity.

What they miss

Hybrid venues, multi-format operations, and the blurring of traditional categories.

Market segmentation doesn't reflect how consumers actually experience venues.

📉

No Operational Data

What they track

Whether a venue is registered and its declared category.

What they miss

Trading status, footfall, brand visibility, menu composition, and competitive dynamics.

No way to distinguish a thriving venue from one about to close.

The result: brands operating in Portugal's on-trade make decisions based on data that is simultaneously incomplete, outdated, and structurally misaligned with how the market actually works.

DIG-IN | The Visibility Gap Report8

The Tools Brands Use Today

dns

CRM / ERP Systems

What it measures

Existing customer interactions, order history, and account management.

What it misses

Non-customers, competitive landscape, and untapped market opportunities.

Shows where you are, not where you could be.

local_shipping

Distributor Data

What it measures

Your own product distribution, delivery routes, and order volumes.

What it misses

Competitive presence, consumer-facing visibility, and market share context.

Coverage without visibility context.

query_stats

Traditional Market Research

What it measures

Sampled consumer preferences and estimated market shares at a point in time.

What it misses

Real-time shifts, venue-level detail, and the gap between reported and actual behaviour.

Snapshots that may not reflect current reality.

assignment_ind

Field Team Reports

What it measures

Qualitative observations from visited venues within assigned territories.

What it misses

Standardised data, unvisited venues, and objective competitive comparisons.

Expensive to scale and difficult to standardise.

What none of these tools answer:

  • Where are my brands actually visible to consumers right now?
  • How does my visibility compare to competitors, venue by venue?
  • Where are the gaps between my distribution and my actual consumer-facing presence?

This is the visibility gap — and it's where DIG-IN operates.

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Section 2: The Execution Gap

Distribution vs Visibility

trending_upDistributed
66.6%
Coca-Cola

Product is physically available at the venue

warningVisible
6.0%
Pepsi

Brand appears in menus, signage, or consumer-facing materials

A brand can achieve 80% distribution coverage while having only 20% visibility. The execution gap measures this difference — the distance between logistical presence and commercial presence.

Why This Matters:

  • Consumers choose what they see, not what's in the stockroom
  • Visibility drives preference formation and brand recall
  • Menu presence correlates with order frequency

Being in the market does not equal being seen in the market

Sample: 2,569 outletsRegion: Lisboa DowntownMethod: ML image recognition + menu analysis
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What the Sample Reveals

Analysis of 2,569 Lisbon restaurants surfaces the competitive reality of Portugal's on-trade channel. Each venue averages 5.5 beverage brands competing for visibility — from taps and fridges to menu placements and table displays.

0
observations
5.5
brands/establishments
0
max brands

Beverages account for 99.8% of observed brand placements. The remaining fraction — condiments, ice cream, snacks — reminds us that attention at the point of service is contested across categories, not just within them.

Competitive Intensity Distribution

Segmentbrands / VenueestablishmentsShare
Low competition1–3 brands855
38%
Medium competition4–7 brands824
37%
High competition8–12 brands451
20%
Intense competition13+ brands115
5%

The long tail extends to 42 brands in premium tourist venues — every tap handle and menu line a hard-won placement.

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Brand Rankings

1Coca-ColaSoft Drinks
66.6%
2Super BockBeer
32%
3SagresBeer
28.1%
4PedrasWater
27.2%
5LiptonTea
21.7%
6LusoWater
18.3%
7FantaSoft Drinks
16.7%
87UPSoft Drinks
14.6%
9SomersbyCider
14.2%
10CompalJuice
13.1%
11SumolSoft Drinks
11.9%
12SchweppesMixer
10.9%
13SpriteSoft Drinks
9.5%
14NesteaTea
8.7%
15HeinekenBeer
7.8%
16Água das PedrasWater
7.2%
17PepsiSoft Drinks
6%
18Bandida do PomarCider
6.2%
19CarlsbergBeer
5.4%
20Red BullEnergy
4.8%
0
unique brands identified
0
outlets analysed
0%
with brand visibility data
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Category Battlegrounds

Visibility concentration by category

BeerClear Market Structure

Super Bock 48.4%
Sagres 36.4%

Super Bock leads with 48.4% of primary beer positions, followed by Sagres at 36.4%. The remaining 15% fragments across international brands (Estrella Damm 4.1%, Heineken 3.6%, Carlsberg 2.9%). Craft beer presence remains minimal in mainstream channels.

WaterFragmented Opportunity

Pedras 27.2%
Luso 18.3%
Vitalis 9.4%

No dominant player has emerged. Pedras leads at 27.2%, followed by Luso (18.3%), Vitalis (9.4%), and Castello (7.0%). The category shows significant white space for brands willing to invest in visibility.

Soft DrinksThe 11× Gap

Coca-Cola 66.6%
Pepsi 6.0%

Coca-Cola's 66.6% visibility represents category dominance rarely seen in retail data. Pepsi's 6.0% — despite equivalent distribution capability — illustrates how execution gaps compound in hospitality channels.

CiderChallenger Success Story

Somersby 14.2%
Bandida 6.2%

Somersby has built 14.2% visibility in a non-traditional category, more than double challenger Bandida do Pomar (6.2%). This demonstrates that visibility leadership can be established even in emerging categories.

Across every category, the pattern repeats: distribution infrastructure alone doesn't determine visibility. The brands that invest in on-trade presence — tap handles, fridge placement, menu positioning — build measurable competitive advantages that distribution data alone cannot capture.

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450,000 Active Beverage Brand Moments Across Portugal

Brand touchpoints don't disappear in smaller venues — audiences do. When we map every menu listing, fridge placement, tap handle, and digital menu across 84,000+ restaurants and adjust for real-world visibility, the number is far larger than most brands assume.

0K+
Brand Experience Moments

Brands optimise for reach, but growth depends on where moments compound. A tasca with 30 daily covers and a branded fridge is still a live touchpoint — it's just one most brands aren't tracking.

336K
high-exposure moments

The top 20% of restaurants — urban hubs, tourist zones, and chains — average 5 brands and 4 touchpoints each (menu, physical placement, digital menu, seasonal rotation). That's 20 brand moments per venue across 16,800 locations.

162K
long-tail moments

The remaining 67,400 venues still carry branded fridges, menus, and taps — just with smaller audiences. At 3 brands and 2 touchpoints per venue, filtered at a conservative 40% activation rate, these locations still generate significant, largely unmeasured exposure.

Brands don't have a shortage of brand moments to capture — they have a measurement problem. A DIG-IN maps the moments others miss.

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Section 3: The Forecasting Gap

The Rhythm of the On-Trade

27%
Traditional Formats
Late-night operations
VS
92%
Non-Traditional Formats
Late-night operations

Traditional Portuguese establishments — bakeries, snack bars, pastelarias — operate on rhythms optimized for local daily routines. They open early for breakfast, serve lunch, and close by evening.

Non-traditional formats — Japanese, Chinese, Korean restaurants, food courts — operate on extended hours that capture evening and late-night demand peaks.

The visibility implications are significant: a brand distributed into traditional formats has an 8-10 hour daily visibility window. The same investment in non-traditional formats delivers 14-16 hours of consumer exposure.

Your forecast treats all distribution points equally. The market does not.

A brand in a traditional format gets 8 hours of visibility. The same brand in a non-traditional format gets 16. Your budget doesn't distinguish between them.

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Operating Window Analysis by Format

Traditional Portuguese Formats

FormatLate-NightSundayRating
Bakeries/Pastelarias32.6%48.0%4.14
Portuguese Snack Bars36.0%40.2%4.35
Dessert Parlours20.0%25.7%4.28
Casual Dining (PT)46.0%52.3%4.13

Traditional formats prioritize morning and lunch service. By 22:00, the majority have closed — precisely when tourist and evening entertainment demand peaks.

Non-Traditional/Systematized Formats

FormatLate-NightRating
Japanese93.7%4.22
Chinese94.0%3.89
Korean100%4.45
Food Courts100%3.26
Fast Food Chains87.5%3.67

Non-traditional formats capture the full demand curve. A brand activation in these channels delivers nearly double the daily visibility hours.

Budget allocation that treats a bakery account identically to a Japanese restaurant account is misallocating resources by a factor of nearly 2×.

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Tourist Corridors: The 4× Effect

Algarve Tourist Corridor
Portimão 8500480
Lagos 8600410
Albufeira 8200346
avg reviews per venue
Regional Portugal Baseline
~74
avg reviews per venue
more engagement in tourist corridors

Geographic engagement concentration follows tourism patterns, not population density. A single venue in the Algarve tourist corridor generates the consumer impression volume of four venues in regional Portugal — and in peak zones like Portimão's waterfront, that ratio climbs higher still.

This has direct implications for activation planning:

  • Field coverage: Tourist corridors warrant disproportionate attention
  • Budget allocation: ROI per activation varies 4× by geography
  • Timing: Seasonal concentration amplifies the effect in summer months

The tourist corridor is not a secondary market. In summer months, it represents the highest-value activation opportunity in Portugal.

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The Outdoor Visibility Premium

deck
192
Avg reviews
Outdoor venues
home
105
Avg reviews
Indoor-only
trending_up+82% engagement premium

Outdoor seating correlates with dramatically higher consumer engagement. Venues with esplanadas generate 82% more reviews on average than indoor-only establishments. The effect amplifies in tourist zones:

LocationOutdoor ReviewsIndoor ReviewsMultiplier
Carvoeiro4152248×
Albufeira3472148×
Portimão2892137×
Lagos234378×

82% more engagement equals 82% more brand impression opportunities per account. Yet standard trade marketing treats outdoor and indoor accounts identically.

A visibility-informed approach would: prioritize outdoor venues, weight geographic allocation toward high-outdoor zones, and time seasonal investment to capture peak outdoor periods.

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Section 4: The Discovery Gap

The Channel Brands Don't Count

Food Consideration Moments from Hotel Guests
0M+
stays × meals/day

Traditional market sizing counts restaurants. It measures throughput, covers, average tickets. What it doesn't count: the 357,572 hotel beds that generated 82.1 million overnight stays in 2025.

A tourist staying in a hotel doesn't appear in restaurant databases until they walk through the door. But their F&B occasions exist from the moment they check in. More critically, the hotel is where brand preferences form. The welcome drink, the lobby bar, the breakfast buffet — these are the first touchpoints where tourists encounter and select brands.

Traditional sizing
Count restaurants
restaurant
Intelligence sizing
Count the beds
bed

Missing hotel F&B doesn't cost you one occasion. It costs you the anchor that shapes every subsequent choice.

verifiedValidated by Official Tourism Data
82.1M overnight stays (+2.2%)32.5M guest arrivals (+3%)
Statistics Portugal / Turismo de Portugal
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82.1 Million Nights: Who's Staying

Understanding who fills the beds changes how brands should think about reach

public
57M
International
Foreign Nights (69.4%)
home
25.1M
Domestic
Domestic Nights (30.6%)

Top Source Markets (2025)

🇬🇧 UK10M+ (17.7%)
🇩🇪 Germany6.4M (11.3%)
🇺🇸 USA5.5M (9.6%)
🇪🇸 Spain5.2M (9.1%)
🇫🇷 France4.2M (7.4%)
🇨🇦 Canada+5.8% growth

Iberian Opportunity

9.1% of overnight stays. Brand visibility in Portuguese hotels reaches Spanish consumers at scale.

US & Canada Growth

North American markets = fastest growing (+4.9% US, +5.8% Canada). High-value segment discovering Portuguese hospitality.

The 30.6% Local Brands Can't Ignore

30.6% domestic nights (25.1M). Year-round, repeat-visit potential that international tourism can't match.

For international FMCG brands, hotel visibility reaches British, German, American, Spanish, and French consumers where they're most receptive — on holiday, forming preferences they'll carry home. For Portuguese brands, this is a home-field advantage.

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Where Reach Concentrates

30.8% of bed capacity in 5% of land area — but reach composition matters

RegionBedsShareTourism
Algarve110,12230.8%25.4%
Grande Lisboa75,06321.0%23.9%
Norte77,96421.8%18.0%
Centro36,21510.1%
Madeira30,3008.5%
Alentejo26,5447.4%4.3%
Validated by Tourism Data

Algarve: 27.1% of stays | Lisboa: 23.4% | North: 17.8%

Bed capacity aligns with actual tourism flow. The reach is real.

Regional Audience Composition
Algarve
28.1% of all foreign nights

The international beach draw. Primary reach for international brands.

North
21.7% of domestic nights

Portuguese exploring Portugal. Strong base for local & regional brands.

Smart Allocation Requires Knowing Which Reach Matters

International brands → Algarve focus. Portuguese brands → North & Centro foundation. Different audiences, different opportunities.

30.8% of Portugal's hotel capacity concentrates in 5% of its land area. Combined with Lisboa and Porto, three corridors represent 73.6% of all hotel-driven F&B demand.

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The Preference Formation Window

Hotel F&B

Avg Rating4.28
Median Reviews764
25th %ile403
Engagement767.73
4.2× median / floor

Casual Dining

Avg Rating4.00
Median Reviews182
25th %ile32
Engagement364.57
base
The Visibility Flywheel
hotel
Hotel Visibility
restaurant
Restaurant Visibility
4.2× to 12.6×engagement advantage

Brands visible in both contexts compound advantage. Missing either half breaks the loop.

Why Hotel F&B Ratings Are More Reliable
0.34
Hotel std dev
vs
1.19
Casual std dev
Hotel F&B quality is 3.5× more consistent. Every hotel placement is a quality-controlled brand impression.

Day 1: Arrival

  • Welcome drinkFirst exposure
  • Pre-dinner drinksReinforcement
  • Hotel restaurantNormalized

Days 2-7: Exploration

  • "[familiar brand]" → Activated
  • "[Brand] please" → Confirmed
  • Comfort choiceLoyalty

Missing hotel F&B doesn't cost you one occasion. It costs you the preference-setting for the entire tourist journey — AND the 4.2× to 12.6× engagement multiplier that hotel contexts deliver.

DIG-IN | The Visibility Gap Report23

Infrastructure Forward Signal

5,306

Additional beds in approved development pipeline

Notable Approved Projects

ProjectLocationBedsStatus
Riviera Resort CascaisCascais1,242Approved
Royal Évora ResortÉvora730Approved
Meia Praia BayLagos606Approved
Praia Verde ResortCastro Marim482Approved
Various smallerMultiple2,246Approved

Tourism development projects file public documentation 18-24 months before opening. This creates a forward signal invisible to traditional market analysis.

Brands tracking development pipeline can:

  • Establish distribution relationships before competitors
  • Negotiate favorable terms with new properties
  • Align activation timing with opening periods
  • Build presence in growth corridors before they mature

The beds in current pipeline represent approximately 9,285 daily F&B occasions at maturity — equivalent to opening 50+ new restaurant accounts, concentrated in high-value tourist zones.

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Section 5: Market Landscape

What the On-Trade Actually Looks Like

We assessed 143 postal zones across Lisboa and Porto

143
Postal zones assessed
1,022
Establishments tracked
787
With consumer ratings
77%
430
With engagement data
4.14
Average rating

Rating Tier Distribution

Market Leaders (4.5+)13732%
Strong Performers (4.0-4.49)18142%
Average (3.5-3.99)6415%
Underperformers (<3.5)4811%

Format Performance

FormatConsumer ValidatedAvg Rating
Snack Bars100%4.51
Bars77.8%4.00
Casual Dining77.4%4.16
Bakeries & Pastry74.1%4.17
Food Courts20%3.18

Consumer validated = establishments where consumers actively rate and review. These are the venues where choice happens. 77% of tracked establishments in Lisboa and Porto carry these signals — a quality layer that exists but remains disconnected from brand targeting and allocation decisions.

DIG-IN | The Visibility Gap Report25

The Gap at a Glance

Three Dimensions. One Structural Problem.

visibility

The Execution Gap

11×
Where brands actually show up
Distribution does not equal Visibility. Analysis of 636 brands reveals execution gaps invisible to traditional data.
Coca-Cola 66.6% vs Pepsi 6.0% despite equivalent distribution
schedule

The Forecasting Gap

When distribution actually delivers
Operating windows and geography create massive engagement differentials.
32% vs 92% late-night ops | 82-248× outdoor multiplier | 4× tourist corridor
hotel

The Discovery Gap

205M+
The preference-forming channel
Hotel F&B drives tourist preferences but remains invisible to market sizing.
357,572 beds | 5× engagement | 30.8% Algarve concentration

Retail data shows what people buy.
Restaurant intelligence shows what people choose.

In Portugal's hospitality-dominant market, that's the difference between lagging and leading indicators.

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Section 6: Implications & Methodology

What This Means for Brands

Four strategic decisions being made with incomplete data

location_onDISTRIBUTION INVESTMENT
The Assumption

More accounts = more visibility

The Reality

Distribution does not equal visibility. An 11× gap exists between brands with equivalent distribution.

What's at Risk

Trade marketing budget allocated to accounts that don't deliver consumer impressions.

bar_chartMARKET SIZING
The Assumption

Official statistics reflect market reality

The Reality

40% variance in baseline counts. 16,484 closures invisible to registry data.

What's at Risk

Forecasts built on a market that doesn't exist as measured.

mapGEOGRAPHIC ALLOCATION
The Assumption

Population density drives coverage priority

The Reality

Tourist corridors generate 4× engagement. 30.8% of hotel capacity in 5% of land area.

What's at Risk

Field resources spread evenly across uneven opportunity.

calendar_monthSEASONAL PLANNING
The Assumption

Summer volume scales uniformly

The Reality

205M+ hotel F&B occasions annually. Operating windows vary 27% to 100% by format.

What's at Risk

Activation timing misaligned with actual consumption windows.

These aren't edge cases. They're the core decisions brand managers make quarterly — distribution priorities, volume forecasts, territory allocation, campaign timing.

Each one is currently made with tools designed for retail-dominant markets, applied to a hospitality-dominant reality.

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Section 6: Implications & Methodology

From Dashboard to Infrastructure

Restaurant intelligence isn't optional. It's foundational.

Established Infrastructure
CRM

For sales pipeline management

No one questions whether to have one.

ERP

For supply chain operations

No one questions whether to have one.

Emerging Infrastructure
Restaurant Intelligence

For on-trade visibility

Still treated as optional by most.

"How long can any brand afford to operate
without information that matters?"

68%
Consumption in on-trade
vs 25% EU average
40%
Baseline variance
in official statistics
205M+
Food moments
invisible to market sizing

In a market where 68% of consumption happens in hospitality, restaurant intelligence isn't a dashboard or a one-off study.

It's infrastructure — as fundamental to FMCG strategy as CRM is to sales or ERP is to supply chains.

The visibility gap is real. The data to close it exists.

DIG-IN | The Visibility Gap Report28
Section 6: Implications & Methodology

Methodology & Contact

Data Sources

SourceCoverage
DIG-IN Proprietary Database84,222 restaurants
Turismo de Portugal5,543 tourism establishments
The Brewers of EuropeEU-27 beer statistics
European Coffee FederationCoffee channel data
EurostatHousehold spending

Analysis Methodology

  • Brand visibility: Computer vision + menu text extraction
  • Operating patterns: 130 format × cuisine combinations
  • Geographic concentration: Engagement by postal zone
  • Hotel economics: Bed capacity × occupancy × frequency
DIG-IN

The visibility gap is real. The data to close it exists.

For brands operating in hospitality-dominant markets, restaurant intelligence isn't a dashboard or a one-off study. It's infrastructure — as fundamental to FMCG strategy as CRM is to sales or ERP is to supply chains.

Horeca Data Insights

© 2026 DIG-IN | Horeca Data Insights
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