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On-trade data: the new gold of foodservice

  • Writer: Claire Brunaud
    Claire Brunaud
  • Nov 14, 2025
  • 4 min read
On-trade data

In foodservice, everyone talks about customer experience, product quality, or online visibility. But one lever remains largely underestimated: on-trade data.


Yet this data — coming from real CHR sales, directly from POS systems — is what allows you to understand what customers consume, at what price, under which conditions, and how to optimize your business accordingly.


For a long time, this data was hard to obtain: fragmented, incomplete, slow. With more than 182,000 establishments in France alone and thousands of formats, segments, and operating models, it was impossible to have a clear market vision or compare one’s performance with others.


But that was before.


Today, on-trade data has become a major competitive advantage for both restaurateurs and manufacturers. Let’s explore why — and how to use it effectively.



What exactly is on-trade data?


On-trade data refers to information coming from sales made in HoReCa establishments (restaurants, bars, cafés, hotels…).


Unlike traditional panels (often slow and based on declarative reporting), on-trade data is:


  • collected directly at POS level, making it reliable and granular;

  • updated daily, instead of with a 6-week delay like historical solutions;

  • analyzed through powerful tools, enabling you to go beyond the “what” to understand the “why”.


Put simply: it’s the most accurate snapshot of real customer behavior in establishments.



Why on-trade data is becoming essential in foodservice


1. The market is fragmented: without data, you’re flying blind


A single country like France has over 180,000 establishments across FSR, QSR, bars, cafés, specialty concepts, premium brands, etc.


Understanding the dynamics of a segment is impossible without a large, representative sample.


With on-trade data, you can finally:

  • spot trends by region,

  • compare one type of outlet with another,

  • detect rising segments (e.g., cocktails, poké, premiumization).


2. Consumers evolve fast — data must keep up


New habits, rising costs, seasonality, local events… Without up-to-date data, even a good restaurateur can fight the wrong battle.


Manufacturers, too, need to know:

  • which categories are growing or declining,

  • which innovations perform well,

  • where to activate their brands to maximize ROI.


With on-trade data enriched by AI and LLMs, these insights become accessible in real time.


3. Pressure on profitability requires sharper decision-making


A €0.50 price adjustment can boost margin without hurting customer experience.


A “star” product can become “dead weight” in 3 months.


A poor attach rate can cost up to 10% of revenue.


On-trade data quickly reveals:

  • which products can deliver more margin,

  • which items to remove or refine,

  • how to reposition the menu to gain +10 to +15% profitability (as seen with Fyre users).


How to use on-trade data to optimize a restaurant


1. Adjust prices intelligently


A neighborhood restaurateur in Lyon discovered that:

  • his best-selling burger had a significantly lower margin ratio than average,

  • his vegetarian dish, though ordered less often, was one of the most profitable,

  • some prices were no longer aligned with local benchmarks.


Using on-trade data:

  • he adjusted his prices (+€0.30 on average),

  • repositioned three high-margin items,

  • reworked portions and combos.


In three weeks: +15% profitability (a typical case observed via Fyre Dashboard).


2. Optimize the menu with granularity


On-trade data allows you to analyze:

  • average ticket size,

  • product incidence,

  • attach rates (e.g., “Coke vs pizza”, “Coke vs burger”),

  • consumption by day, hour, segment,

  • a BCG Matrix (Stars, Cash Cows, Question Marks, Dogs) integrated directly into the Fyre dashboard.


At a glance, you know:

✔️ what to push

✔️ what to refine

✔️ what to remove


Data becomes your compass.


3. Anticipate trends and adapt before others


Representative panels like Fyre’s MarketPulse allow you to track:

  • category evolution (softs, cocktails, snacking, coffee…),

  • premiumization,

  • new consumption moments,

  • trends by outlet type or geographic zone.


For a restaurateur, this means adapting the menu before the trend hits their street.


On-trade data


On-trade data for manufacturers: a strategic game changer


For beverage or foodservice brands, on-trade data answers essential questions:


Where should I activate my products to maximize ROI?


With tools like FyreMatch and Activation Monitor:

  • brands can identify the most relevant establishments,

  • launch activations directly at POS,

  • monitor the impact in real time,

  • compare performance across clusters or concepts.


The Coca-Cola example at the 2024 Olympic Games is telling:

  • 7,000 establishments matched and segmented

  • 700 priority hotspots

  • 25 geographic clusters

  • daily performance monitoring

  • real-world A/B testing


With immediate impact on execution quality and activation effectiveness.



Which products perform… and why?


Data helps:

  • understand associations (e.g., cocktails + tapas, burger + soft drink),

  • measure the impact of a price change,

  • identify consumption peaks (day, hour),

  • benchmark performance by region or segment.


For the first time, manufacturers can analyze the market with this level of precision.



How Fyre turns on-trade data into actionable decisions


The provided documents clearly explain what makes Fyre unique in the on-trade data landscape:


1. Massive connectivity (+120,000 establishments)

Thanks to large-scale plug-and-play POS integrations.


2. Data enriched by AI & LLMs

Tickets are cleaned, categorized, enriched, and comparable — a revolution in a historically chaotic sector.


3. A market-representative panel

A sample designed to mirror the real structure of Europe’s 1.4M establishments, with extremely low margins of error (±€0.04 on average price).


4. Ready-to-use tools:

  • Data Dashboard: sales, margins, menu, matrices, benchmarks.

  • MarketPulse: market trends.

  • Venue Activation: in-POS activation and real-time tracking.


On-trade data never stays theoretical: it becomes immediate, measurable actions.


On-trade data


Conclusion: On-trade data is no longer a “nice-to-have”. It’s a decisive business advantage.


In a market as dynamic and competitive as foodservice, performance is no longer driven by intuition alone.


It depends on the ability to:

  • understand your market in depth,

  • analyze your sales and margins,

  • adjust your prices and menu quickly,

  • activate your products or campaigns effectively,

  • measure what works… as early as the next day.



On-trade data finally brings this level of precision and agility.


And platforms like Fyre make this data simple, actionable, and directly tied to real-world operations, for restaurateurs and manufacturers alike.


👉 If you want to turn your data into concrete decisions, on-trade data is now your best ally.




 
 
 

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