First-Party vs Third-Party Data for Restaurant Chains: The EU Operator’s Guide to Owning Your Customer Relationships

What Is First-Party Data for a Restaurant Chain, and Why Does the Distinction Matter?

55% of QSR operators now identify first-party digital ordering as their top driver of revenue growth for 2025 (Qu, 2025, survey of 170 brands and 85,000 locations). The shift reflects a growing recognition that who ordered matters as much as what was ordered, and the two are not the same thing.

First-party data, in the restaurant context, is any customer information you collect directly, through your own app, your own website ordering system, your kiosks, or your loyalty program. You own it. You can market to it. It stays with your brand.

Third-party data is what arrives when a customer orders through an aggregator. You receive the transaction, basket value, items, time, location ID. But the customer behind it belongs to the platform. Their contact details, ordering history across visits, marketing opt-in status, none of that reaches you.

This distinction compounds at chain scale. A single-location operator losing customer identity on platform orders loses a marketing opportunity. A 50-location chain losing it across tens of thousands of orders per week is surrendering the foundational asset of its customer base.

A 2024 EU inquiry found platform commissions run from 15% to 35% per order (ETUI, 2024). But the commission is the cost you can see. The customer data you’re not capturing is the cost you can’t. To capture that data, you need your own ordering channel. Here’s how to build one.

What Data Does a Delivery Platform Actually Share With You?

43% of restaurant professionals say third-party delivery apps interfere with the direct relationship between a restaurant and its customers (Lightspeed, citing HospitalityTech, 2025). That interference isn’t accidental, it’s structural. The platform’s business model depends on owning the customer relationship.

What you get from a platform order:

• Order ID and timestamp
• Items ordered and basket value
• Delivery district (often not full address)
• Basic order status updates

What the platform retains:

• Customer name and contact details (email, phone)
• Full order history — across all your locations
• Cross-restaurant ordering behaviour (they know how often your customer orders from competitors)
• Marketing opt-in status
• Customer lifetime value across the platform
• Customer feedback and ratings data

The platform learns your customers better with each order placed through it. You don’t. Every aggregator integration your chain runs is a data pipeline that flows in one direction: from your customers into the platform’s database.

Why the Customer Data Gap Costs More Than the Commission

The commission conversation, the 15–35% per order that platforms take, tends to dominate the aggregator dependency discussion. But there’s a second cost that doesn’t appear on a P&L, and over a 12–24 month horizon it may be larger: the cost of not knowing your customers.

Acquiring a new restaurant customer costs roughly 5x more than retaining an existing one (Bain & Company). Loyalty programme members, the practical proxy for customers you’ve identified, make 22% more restaurant visits per year than non-members and visit their enrolled brand at twice the rate (Circana, June 2025).

The channel data reinforces this directly: customers who arrive via a direct ordering channel have a 41% loyalty programme attachment rate. Customers who come through a third-party platform have a 3% attachment rate (Paytronix, 2024). That 38-percentage-point gap represents the structural difference between customers you have data on and customers you don’t.

The numbers for a 500-order/week/location chain

At 3% loyalty attachment from platform orders: 15 identified customers per location per week, while paying 25–30% commission on all 500 orders. The same 500 orders through a direct channel at 41% attachment: 205 identified customers per location per week. That difference doesn’t appear in any commission comparison, but it’s the actual return on direct-channel investment over 12 months.

At top-performing restaurant brands, loyalty members drive 37% of all transactions (Paytronix, 2024). That’s 37% of your revenue from identified, contactable, marketable customers. None of that is possible when most of your orders come through platforms that don’t share who placed them. On top of that, those same platforms take a significant cut of every order. Here’s what delivery platform commissions actually cost a restaurant chain per location per month.

The Four Stages of Restaurant Data Ownership

Most EU chain operators sit somewhere between two poles: fully anonymous (all orders through aggregators, no customer-level data) and fully data-activated (every order tied to a customer profile you own and act on). Here’s a practical framework for locating where your chain sits today, and what the next stage looks like.

Stage 0. Fully anonymous

All or most digital orders come through aggregator platforms. Revenue is visible; customers aren’t. No CRM, no loyalty programme, no direct contact data. Menu decisions are made on basket-level data. You don’t know whether your Thursday evening customers are the same people as your Sunday lunch regulars.

Stage 1. Data aware

All or most digital orders come through aggregator platforms. Revenue is visible; customers aren’t. No CRM, no loyalty programme, no direct contact data. Menu decisions are made on basket-level data. You don’t know whether your Thursday evening customers are the same people as your Sunday lunch regulars.

Stage 2. Data capturing

A direct ordering channel is live and integrated with your POS. Loyalty programme running and tied to the direct channel — every order builds a customer record. You can see which customers are repeat visitors and frequency per location.

Stage 3. Data activated

CRM active: lapsing customers trigger winback campaigns, top customers receive personalised offers, new customers get a structured onboarding sequence. Menu decisions are informed by order history at location level. Marketing spend allocated by customer lifetime value.

New York Pizza (300+ locations, Netherlands and Germany) reached Stage 3. With 70% of orders flowing through direct channels (S4D customer data, 2025), the chain has a direct customer relationship with the majority of its ordering base, every direct-channel customer is identifiable, marketable, and retainable in a way that platform customers structurally cannot be.

Most EU chains S4D works with start at Stage 0 or Stage 1. The move to Stage 2, a direct channel live, a loyalty program capturing customer identity, typically takes 3–6 months with the right platform. Stage 3 takes another 6–12 months of active programme management.

The industry is moving. Restaurant CDP and data platform investment is up 11% year-over-year, while traditional loyalty programme spending has fallen 8% in the same period — the first time data infrastructure investment has outpaced loyalty spend (Qu, 2025).

What First-Party Data Actually Enables at Chain Scale

Brands that use first-party data across key marketing functions achieve up to 2.9x revenue uplift and 1.5x cost efficiency compared to brands that don’t (Google x BCG, 2021, study of 180+ brands). The restaurant chains reaching Stage 3 data ownership are, operationally, exactly those brands.

Here’s what it actually makes possible at a chain with 30 locations processing 300 digital orders per day:

• Targeted campaigns to your highest-value customers. At top-performing brands, loyalty members drive 37% of all transactions (Paytronix, 2024). With their contact details and order history, you can run campaigns — birthday offers, lapsed customer winbacks, new item launches, that reach exactly those people.
• Menu decisions by location, not chain average. If your Tuesday lunch crowd at one location skews toward a specific category while another location skews differently, aggregator data won’t tell you that in a form you can act on. First-party data tied to a POS at location level does.
• Marketing spend that returns measurably. Hospitality email marketing returns €53 for every €1 spent, among the highest ROI of any direct marketing channel (Litmus, 2024). This only applies if you own the customer’s email address. A customer who ordered through Deliveroo five times is completely unreachable by email unless they’ve also placed a direct order.
• Forecasting by customer cohort. Identified customers with order histories allow demand forecasting beyond seasonality. You can see when high-frequency customers lapse, predict when they’re likely to return, and act to retain them before they’re gone.

The EU Angle: GDPR Liability You May Not Have Considered

The hospitality and restaurant sector has received 83 GDPR fines totalling €22.6 million across 15 EU countries, with enforcement accelerating (CMS Law GDPR Enforcement Tracker, May 2025).

Under GDPR Article 28, a data controller, which your restaurant chain is, remains fully liable for data protection violations caused by third-party processors it appoints. If a delivery platform suffers a breach involving your customers’ order data, you face regulatory exposure alongside the platform, not instead of it.

Most restaurant chain operators don’t think of their delivery platform agreements as data processing appointments under GDPR. But under EU law, when a platform processes customer data on your behalf, you are a joint data controller. The platform’s privacy policy doesn’t insulate you. A compliant data processing agreement (DPA) does,and most restaurant chains have never checked whether one exists.

Total GDPR fines issued across Europe in 2024 reached €1.2 billion, with regulators expanding scrutiny beyond big tech into sectors including hospitality (DLA Piper, January 2025). The enforcement environment isn’t getting softer.

A direct ordering channel means having customer data relationships you control directly, can demonstrate compliance on, and don’t share liability for with a third party. Under GDPR, a first-party data strategy isn’t purely commercial. It’s the data protection posture that gives you full visibility and control.