Customer Data Platform (CDP)

What is Customer Data Platform (CDP)?

A customer data platform (CDP) is software that collects customer data from every source, links the records that belong to the same person and stores them as persistent, unified profiles. Other systems, such as your email and SMS tools, loyalty program and support inbox, can then use those profiles.

The CDP Institute's long-standing definition describes it as "packaged software that creates a persistent, unified customer database that is accessible to other systems." Each part of that sentence matters: the software is ready-made, the profiles are stored over time, and other tools can reach them.

For restaurant brands, a CDP answers a familiar problem. The same guest appears as a card token in the POS, an email in online ordering, a phone number in loyalty and a name on a review site. A CDP brings those records together so your teams can see the whole relationship and act on it.

How a customer data platform works

A customer data platform does five jobs, in roughly this order:

Identity resolution is the hardest of the five, and our entry on the unified guest profile walks through how deterministic and probabilistic matching work with a full example.

Real-time and batch data in a CDP

Some sources stream events within seconds, such as an app order or a survey response. Others arrive in daily or hourly batches, such as POS exports from older systems.

The difference matters for use cases. A recovery message after a poor survey score works best when the data arrives quickly, while a monthly lapsed-guest campaign is fine with daily updates.

Customer data platform example

Here is a worked example with illustrative numbers, focused on activation. A 30-location quick service brand sends a weekly promotional email to 50,000 guests who have opted in to email marketing.

Its CDP connects online ordering, loyalty, surveys and reviews. In the past 14 days, 380 of those guests gave a 1- or 2-star survey score or have an open complaint.

Without the CDP, those 380 guests would receive a cheerful discount while their complaint was still unanswered. With it, the guest care team sees each guest's orders and survey comments and can reply with context, which is where good service recovery starts.

Restaurant vs. general customer data platform

Restaurant CDPs, sometimes called guest data platforms, understand that a guest visits a location and orders items on a check. General-purpose CDPs are built for digital events and can model the same things, though usually with more setup.

Many large brands combine the two approaches, with a general-purpose stack for web and app data and a restaurant platform for in-store and loyalty data.

Customer data platform vs. CRM vs. data warehouse

A restaurant CRM is often one of the tools a CDP feeds, and many restaurant products combine the two.

Momos's guide to the CDP in Momos puts the difference simply: a CRM tracks relationships, while the CDP unifies behavioral and transactional data for segmenting, personalizing and measuring.

A data warehouse can also hold unified customer profiles. Composable, or warehouse-native, CDPs keep the data in your warehouse and add identity resolution, segmentation and activation on top, which suits brands with a strong data team.

Customer data platform use cases for restaurants

• Win-back campaigns. Visit history makes lapsed regulars easy to find, and a win-back campaign reaches them while they still remember you.
• Personalized offers. Favorite items, preferred channel and home location make an offer feel relevant to the guest who receives it.
• Recovery with context. A low survey score or a complaint arrives alongside the guest's history, so the reply fits a regular differently from a first-time guest.
• Suppression. Guests with an open complaint, or who just redeemed an offer, can be left out of the next promotion.
• Loyalty growth. Identified guests who aren't members are natural candidates for an invitation to your restaurant loyalty program.
• Location insight. Profiles grouped by store show which locations keep their regulars and how guests move between channels.
• Value analysis. Visit frequency and spend feed guest lifetime value, which tells you where marketing effort pays back.

How to implement a customer data platform

A CDP project goes more smoothly when it starts from the decisions you want to change. This sequence works for most restaurant brands:

1. Choose two or three use cases. Lapsed-guest win-back and recovery with context are common first choices.
2. Map your sources. List each system, the identifiers it holds and how consent is recorded.
3. Connect the strongest sources first. Online ordering and loyalty usually carry the best phone and email data.
4. Set matching rules. Agree how records are linked and who reviews uncertain matches.
5. Build and test audiences. Spot-checking a few profiles in each audience confirms the filters behave as intended.
6. Activate and measure. Every campaign needs a holdout group, so you can see the visits it actually added.
7. Expand. Add feedback, Wi-Fi and further channels once the first use cases show results.

Connectors decide most of the effort, since every source needs a reliable feed before its records can be matched. Momos's integrations page lists the kinds of sources a restaurant setup usually covers, from POS and ordering to review platforms.

Customer data platform privacy and consent

A CDP brings personal data together, which raises the stakes for privacy. Consent status and its source belong in every profile, for each channel, so that a guest who opted in to email never receives a text they didn't agree to.

Two laws shape most programs. The EU's GDPR, which has applied since May 2018, requires a lawful basis for each use of personal data. California's CCPA, in effect since 2020 and expanded by the CPRA, gives consumers rights to know, delete and correct their information and to opt out of its sale or sharing.

In practice, a privacy-ready CDP can find and delete everything about one guest on request, limits access to sensitive fields such as allergy notes, and keeps only the data your teams use. This page is general information, and your own counsel is the right person to confirm a specific program.

Best customer data platform tools

The right customer data platform depends on your sources and your team. Restaurant brands usually value prebuilt connectors for their POS, ordering, loyalty and reservation systems, location-level reporting and a way to bring guest feedback into each profile.

Momos's roundup of the best restaurant customer data platforms compares a wider set of options in more detail. Comparing tools against your own systems, channels and locations, and checking which connectors already exist for your stack, will narrow the list quickly.

Common customer data platform mistakes

• Starting with technology. A CDP chosen before the use cases are clear often ends up as an expensive copy of data that already exists elsewhere.
• Connecting every source at once. Long integration projects delay the first result, and weak sources add noise to the profiles.
• Merging too aggressively. One wrong merge can show a guest someone else's history, which is far worse than a missed match.
• Forgetting consent. Profiles without recorded opt-ins create audiences you can't safely message.
• Leaving out feedback. Spend and visits explain what guests did, while first-party guest data from surveys and reviews explains why.
• Skipping the holdout. Without a control group, every campaign looks successful and none can be compared.

History of the customer data platform

The idea behind the customer data platform goes back to database marketing in the 1980s and to customer relationship management software in the 1990s, both of which aimed to keep one record per customer.

Analyst David Raab named the customer data platform category in a blog post in April 2013, after noticing that several new marketing systems could assemble a unified customer database from many sources. Later that year, Raab Associates published a report profiling the first group of CDP vendors.

Raab launched the CDP Institute in 2016 to define and track the category. As the label grew popular and many vendors adopted it, the Institute published its RealCDP checklist in 2019 to give buyers more specific criteria.

The category consolidated in the years that followed. Twilio completed its acquisition of Segment in November 2020 in a deal valued at about $3.2 billion, and in restaurants, Olo acquired the guest data platform Wisely in 2021.