Why foodservice remains one of the hardest markets to read

Foodservice market plays a strategic role for brands. It is a market where trends emerge, where products are discovered across a wide range of consumption contexts, and where experience plays a decisive role in shaping brand perception. Yet despite its importance, it remains one of the most difficult markets to analyse accurately.

This difficulty does not stem from a lack of interest in data. Brands know that foodservice is a key lever for understanding consumer behaviour, measuring the impact of activations, and identifying new growth opportunities. The issue lies instead in the very structure of the market, which makes information difficult to collect, compare, and turn into truly actionable decisions.

Unlike other, more centralised channels, foodservice is built around a multitude of outlets that differ greatly from one another. Independent restaurants, bars, cafés, hotels, brasseries, chains, fast-casual concepts, and premium venues all coexist within the same ecosystem, each with different business models, consumption moments, and purchasing dynamics.

It is this fragmentation that makes the market so rich, but also particularly complex to read.

A foodservice market that is fragmented by nature

The first challenge in foodservice lies in the diversity of the outlets that make up the market. Two points of sale located in the same city can have completely different customer profiles, price levels, business rhythms, and product performances.

A neighbourhood café, a city-centre restaurant, a cocktail bar, or a quick-service restaurant do not sell the same products, meet the same needs, or generate the same opportunities for brands. Even within the same category, differences can be significant depending on location, positioning, seasonality, or consumption occasion.

This diversity makes averages difficult to interpret. A trend observed at national level can hide very different dynamics depending on the segment. A category may appear stable overall, while growing strongly in certain types of outlets and declining in others. A brand may show strong average performance, without it being clear where it is actually gaining ground.

For marketing and sales teams, the risk is making decisions based on an overly aggregated view of a market that, in reality, operates at a much more granular level.

Data that is often scattered and difficult to compare

The second challenge lies in the availability and quality of data. In foodservice, information is often scattered across several sources: distributor data, sales team feedback, one-off studies, panels, POS systems, field insights, and internal analyses.

Each of these sources provides part of the answer, but rarely a complete view. Sell-in data helps understand what has been sold to distributors or delivered to outlets, but it does not always reflect actual consumption. Field feedback is valuable for understanding the local context, but it often remains qualitative and difficult to consolidate. Studies provide depth, but they do not always make it possible to track changes with sufficient granularity or responsiveness.

Another challenge is comparability. To analyse a market properly, having data is not enough; it needs to be structured in a consistent way. Yet in foodservice, product categories, outlet typologies, POS formats, and the levels of detail available vary greatly from one player to another.

This heterogeneity makes the market harder to read and limits brands’ ability to compare performance across regions, segments, products, or activations.

A fast-changing on-the-ground reality

Foodservice is also difficult to read because it is constantly evolving. Consumption behaviours change depending on the time of day, the day of the week, the season, local events, or emerging trends.

A drink may perform better during after-work occasions than at lunchtime. A category may be driven by the weather, a sporting event, or a tourist season. A product may first gain visibility in certain outlets before spreading more widely. An activation can generate very different results depending on the context in which it is deployed.

These variations quickly make static analyses insufficient. A review conducted several weeks after a campaign may explain part of the performance, but it often comes too late to adjust the action. Similarly, a market view that is too punctual may miss weak signals that could be useful for anticipating future changes.

In this context, brands need insights that are closer to real time, capable of tracking dynamics as they happen, and not only when it is already too late to act.

The gap between strategic vision and local action

One of the major complexities of foodservice also comes from the gap between brands’ strategic objectives and the operational reality on the ground. A strategy may be defined at national or international level, but its success often depends on thousands of local decisions: a well-listed product, a convinced staff, a visible activation, the right price, the right consumption moment, or a well-targeted outlet.

This gap creates a major challenge for teams. How can they know whether a strategy decided at head office is actually being translated into outlets? How can they identify the areas where it is working, those where it is underperforming, and those where the opportunity remains underexploited?

Without sufficiently granular data, it becomes difficult to connect strategic decisions with the results observed on the ground. Brands may know that a market is growing, but not always why. They may identify a drop in performance, but not always know which outlets it is concentrated in. They may launch an activation, but not always be able to precisely measure its real impact on consumption.

It is this distance between strategy and the field that makes managing foodservice so demanding.

Towards a more granular and actionable reading of the foodservice market

To better understand foodservice, brands can no longer rely solely on overly broad indicators. They need a more granular view, one that can take into account the diversity of outlets, consumption moments, local dynamics, and real purchasing behaviours.

This shift does not mean abandoning aggregated analyses, which remain essential for tracking major trends and steering an overall strategy. Rather, it means complementing them with more precise, more comparable insights that marketing, sales, and field teams can act on more directly.

The value of data therefore does not lie only in its quantity, but in its ability to inform the right decisions. Understanding that a category is growing is useful, but understanding in which outlets it is growing, among which outlet profiles, at what moments, and with which activation levers is far more powerful.

It is this ability to move from a general market view to an operational reading that can transform the way brands manage foodservice.

Reading better to act better

Foodservice will probably remain a complex market, because its richness comes precisely from its diversity. But this complexity should no longer be a barrier to decision-making.

With more reliable, better-structured data that is closer to the reality on the ground, brands can move beyond averages, identify the real drivers of performance, and build more precise actions. They can better understand where opportunities lie, why some outlets perform better than others, and how to adapt their strategies to local realities.

The challenge, then, is not only to collect more data. It is to make the market easier to read, so that every insight can become a decision, and then a measurable action.

In an ecosystem as fragmented as foodservice, the brands that succeed will not necessarily be those with the most information, but those that know how to turn that information into useful on-the-ground understanding.