Restaurant Marketing Glossary
Every Term, Defined

Guest Data

Average Daily First-time Visitors

The mean number of new guests a restaurant attracts per day, tracked via WiFi identity resolution, measuring acquisition velocity.

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Guest Data

Average Daily Traffic

The mean number of guests visiting a restaurant per day, captured passively via WiFi, revealing visit volume trends and the new-versus-returning split.

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Analytics & Metrics

Benchmark

A reference point for measuring performance; restaurant benchmarking compares retention, rating, and frequency against peer locations.

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Analytics & Metrics

Best Practices

Proven methods that reliably produce results; in restaurant guest marketing, capturing first-party data, segmenting by behavior, and attributing to revenue.

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Flywheels & Frameworks

CDP-Overlaid Feedback

Survey data segmented by guest value tier rather than a flat average — revealing which guest segments are unhappy and attaching one-click recovery actions.

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Guest Value & Retention

Customer Churn Rate

The percentage of a restaurant's guests who stop visiting over a given period — usually invisible without a platform that tracks visit frequency.

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Flywheels & Frameworks

Customer Intelligence (CI)

Gathering and analyzing guest data to drive decisions; in restaurants, unifying behavioral, transactional, and sentiment data into living guest profiles.

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Guest Value & Retention

Customer Lifetime

The total length of the relationship between a guest and a restaurant, from first visit to last — the time dimension behind guest lifetime value.

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Guest Value & Retention

Customer Lifetime Value

The total revenue a restaurant can expect from a single guest across the entire relationship — every visit, order, and referral.

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Flywheels & Frameworks

Data Authority

The discovery advantage a restaurant earns when its online presence is backed by verified first-party data rather than unverifiable marketing claims.

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Guest Data

Demographics

The statistical traits of a guest population — age, income, household, location — most powerful when combined with behavioral data.

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Flywheels & Frameworks

Discovery Flywheel

The self-reinforcing cycle where verified CDP guest data powers content AI engines trust, surfacing a restaurant to new guests who then strengthen the data further.

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Guest Data

Dwell Time

The length of time a guest spends inside a restaurant during a visit, measured passively through WiFi, revealing service pace and experience signals.

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Flywheels & Frameworks

Guest Intelligence Flywheel

The self-improving cycle where unified guest data trains smarter segmentation, which drives better marketing, whose results feed back as new data.

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Analytics & Metrics

Key Performance Indicator

A measurable value showing how effectively a goal is met; core restaurant guest KPIs include visit frequency, lifetime value, retention, and sentiment.

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Analytics & Metrics

Marketing Analytics

Measuring marketing performance; in restaurants, closed-loop attribution connecting a campaign to the guest, the visit, and the revenue at the POS.

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Analytics & Metrics

Marketing Automation

Using software to trigger marketing based on behavior; for restaurants, email and SMS that fire automatically from guest behavior, attributed to POS revenue.

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Guest Value & Retention

Predictive Analytics

Analyzing historical data to forecast future events; in restaurants, turning guest history into predictions of who will return and who is at risk.

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Guest Value & Retention

Predictive Guest Scoring

The use of AI and historical guest data to forecast each guest's likelihood to return, churn risk, and lifetime value — so restaurants act before revenue is lost.

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Guest Data

Psychographics

The attitudes, values, interests, and lifestyle of a guest — the why behind choices — used to sharpen restaurant segmentation and messaging.

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Flywheels & Frameworks

Restaurant Customer Data Platform (CDP)

A platform that unifies guest data from WiFi, POS, ordering, reservations, and reviews into identity-resolved profiles and segments guests automatically.

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Analytics & Metrics

Retail Analytics

Analysis of customer, sales, and traffic data to improve performance; in restaurants, spanning foot traffic, ticket analysis, and guest behavior.

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Flywheels & Frameworks

Revenue Flywheel

Four reinforcing loops — Marketing, Sentiment, Operations, Discovery — on one CDP, where every guest interaction makes every other loop smarter.

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Analytics & Metrics

RevPASH (Revenue per Available Seat Hour)

Revenue per available seat hour — total revenue divided by available seat hours — exposing dining-room efficiency by combining turnover with spend.

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Guest Data

Segmentation

Dividing guests into groups for relevant targeting; the most actionable restaurant segmentation is behavioral — super guests, regulars, new, at-risk.

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Flywheels & Frameworks

The Broken Loop

The default state where guest-visit data never feeds back into how the next guest discovers the restaurant — the silo the Discovery Flywheel repairs.

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Flywheels & Frameworks

Triple Crown Framework

Optimizing a restaurant simultaneously for traditional search (SEO), AI answer engines (AEO), and voice assistants — because each uses a different algorithm.

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Flywheels & Frameworks

True Attribution

Closed-loop measurement connecting a campaign to the guest, the return visit, and the revenue at the POS — verified, not modeled.

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Flywheels & Frameworks

Voice of the Guest

The actual language guests use in reviews and surveys, extracted by AI and layered with each brand's voice so responses sound authentically like the restaurant.

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