Customer Intelligence

70% of First-Time Guests Never Come Back

The average restaurant retains just 55% of customers — well below the 75% benchmark. Each churned guest represents hundreds in lost lifetime value. Our Customer Intelligence platform identifies at-risk guests before they leave and automatically re-engages them with personalized campaigns that achieve a 15% return rate.

See Pricing

70%

first-time guests never return — Bloom Intelligence, 2025

$375K

annual churn cost per location — Bloom Intelligence, 2025

40%

more revenue from personalization — McKinsey, 2021

scaledgrowthagency.com/client

Customer Intelligence dashboard showing health scores, lifetime value, and churn prediction

You're Losing Customers You Don't Even Know About

Most restaurants have no way to track who comes back and who doesn't. Your POS records transactions, not relationships. By the time you notice a regular stopped visiting, they've been gone for months.

The data shows: 70% of first-time guests never return, and the average restaurant's 78.8% churn rate costs approximately $375,380 per year per location in lost revenue.

55% avg retention vs 75% benchmark — Bloom Intelligence, 2025
Acquiring new customer costs 5-25x more than retaining — Harvard Business Review
Companies excelling at personalization generate 40% more revenue — McKinsey, 2021

scaledgrowthagency.com/client — Contacts

Customer profiles with detailed visit history and spending patterns

Capabilities

Intelligence That Drives Revenue

Enterprise-grade customer analytics built specifically for restaurants — no data science team required.

Health Scores

Every customer gets a dynamic health score based on visit frequency, recency, spend trends, and engagement. Watch scores in real-time and get alerts when high-value guests show declining patterns.

Lifetime Value

Track actual and predicted lifetime value per customer. Identify your top 20% who drive 80% of revenue. Prioritize retention efforts where they'll have the biggest impact.

Churn Prediction

AI monitors visit patterns to flag at-risk customers before they churn. Automated campaigns targeting at-risk guests achieve 15.18% return rate — 5x the industry average.

Customer Segments

RFM analysis (Recency, Frequency, Monetary) automatically segments your customer base. Champions, loyal regulars, at-risk, hibernating — each gets tailored communication.

AI Insights

Natural language summaries of your business trends. "Your Tuesday dinner covers dropped 18% this month — here are 3 guests who used to come Tuesdays but haven't visited in 6 weeks."

Automated Re-engagement

Set-and-forget campaigns that trigger based on customer behavior. At-risk alerts, birthday offers, win-back sequences, and milestone rewards — all personalized automatically.

Proven Results

Data-Driven Success at Scale

Leading restaurant brands are already using customer intelligence to drive measurable revenue growth.

Starbucks Deep Brew

AI-Powered Personalization at Scale

AI analyzing millions of transactions to personalize offers. Generated $1B+ in incremental revenue through targeted recommendations.

$1B+ incremental revenue

34.6M loyalty members

60% US revenue from members

Source: Starbucks Investor Relations

Domino's Analytics

Data-Driven Delivery Optimization

Analytics-driven approach cut delivery time by 35%. Online orders grew to 70%+ of total sales through data-driven optimization.

-35% delivery time

70%+ online orders

25M+ loyalty members

Source: Domino's Annual Report, 2024

Chipotle + Microsoft

Enterprise Loyalty Personalization

Deployed Dynamics 365 for 17M+ loyalty members. PwC helped build personalization worth hundreds of millions in value.

17M+ loyalty members

Hundreds of millions in value created

Microsoft D365 platform

Source: PwC/Microsoft, 2024

CAVA Smart Monitoring

Sensor-Driven Quality Control

Sensor systems monitoring wait times and food quality. Customer complaints dropped 28% through data-driven operations improvements.

-28% customer complaints

Real-time sensor monitoring

Proactive issue resolution

Source: CAVA/QSR Magazine, 2024

From Gut Feeling to Data-Driven Decisions

Your intelligence dashboard starts working from day one. It ingests data from every touchpoint — POS transactions, reservations, phone calls, SMS interactions, online orders — and builds comprehensive customer profiles automatically. No manual data entry, no CSV imports, no third-party integrations to configure.

Automatic data ingestion from POS, reservations, calls, and orders
Real-time health score updates as new data flows in
Pre-built segments that update automatically as behavior changes
One-click campaign creation targeting any segment or alert

scaledgrowthagency.com/client — Dashboard

Restaurant dashboard showing AI-powered analytics and revenue insights

Industry Evidence

The Data Speaks for Itself

Customer intelligence isn't a nice-to-have — it's a revenue multiplier backed by industry research.

Companies that excel at personalization generate 40% more revenue than average players. In restaurants specifically, data shows that re-engaging a churning guest costs 5-10x less than acquiring a new one, with at-risk campaigns achieving 15% return rates.

McKinsey, 2021 / Bloom Intelligence, 2025

Fishbowl ROI Study

Personalization ROI Explosion

One restaurant brand saw ROI jump from 4.56x to 59.3x by personalizing campaigns based on purchase history and visit patterns.

Source: Fishbowl, 2024

Bloom Intelligence At-Risk Campaigns

5x Industry Average Return Rate

Automated at-risk guest campaigns achieve 15.18% return rate vs. 2-3% industry average for generic marketing.

Source: Bloom Intelligence, 2025

FAQ

Frequently Asked Questions

It automatically pulls from your POS transactions, reservation history, phone call logs, SMS interactions, online orders, and loyalty program activity. No manual data entry required — profiles build themselves from day one.

Within the first week. As soon as transaction data flows in, the system starts calculating health scores, identifying segments, and flagging at-risk guests. Most restaurants see their first automated re-engagement campaign trigger within 7-14 days.

Yes. Beyond the pre-built RFM segments, you can create custom segments using any combination of filters: visit frequency, spend amount, menu preferences, time of day, day of week, location, and more. Custom segments update automatically as new data comes in.

The AI analyzes each customer's historical visit patterns to establish their normal cadence. When a customer deviates significantly — visiting less frequently or spending less — their health score drops and they're flagged as at-risk. You can set automated campaigns to trigger at specific risk thresholds.

No. POS reports show what happened — total sales, item counts, labor percentages. Customer Intelligence shows who is behind those numbers — which guests are driving growth, which are leaving, and what you can do about it. It connects transactions to individual customers over time.

Yes. Customer profiles are unified across locations. A guest who visits your downtown location and your suburban location has one profile showing their total relationship. Cross-location analytics show which locations share customers and where transfer opportunities exist.