Unified customer profiles aggregating order history, preferences, feedback, and behavior across all channels — online, in-store, delivery, and call.
Unify customer data from every channel — POS, online, delivery, phone, and loyalty — into a single AI-powered profile. Predict churn, personalize offers, and maximize lifetime value.
Across all locations
Per customer
Customer satisfaction
Last 90 days
AI-powered unified customer view
Real-time customer insights
148 VIP customers haven't ordered in 14+ days — send reactivation offer.
$38K potential revenueChurn rate increased 6% in the Upper East Side location this month.
52 at-risk customers23% of first-time customers order from the BBQ Chicken category.
Top acquisition driverWeekend orders from Silver tier dropped 15% vs last quarter.
Needs investigationRecency, Frequency, Monetary analysis
Acquisition to loyalty funnel
32% of visitors convert to first order.
68% of first-timers become repeat buyers.
AI-projected customer value trends
Customer retention by acquisition cohort
| Cohort | Mo 0 | Mo 1 | Mo 2 | Mo 3 | Mo 6 |
|---|---|---|---|---|---|
| Q1 2025 | 100% | 68% | 52% | 43% | 31% |
| Q2 2025 | 100% | 72% | 55% | 46% | 34% |
| Q3 2025 | 100% | 65% | 48% | 40% | 27% |
| Q4 2025 | 100% | 70% | 53% | 44% | 30% |
| Q1 2026 | 100% | 74% | 58% | 48% | 35% |
Q1 2026 cohorts show 35% retention at 6 months — a 13% improvement over Q3 2025.
AI-powered household linking & duplicate detection
Cross-channel customer behavior analytics
Everything in the Customer Data Platform
Unified customer profiles aggregating order history, preferences, feedback, and behavior across all channels — online, in-store, delivery, and call.
Unified customer profiles aggregating order history, preferences, feedback, and behavior across all channels — online, in-store, delivery, and call.
Single customer view merging data from POS, online ordering, delivery apps, phone, and loyalty.
Complete chronological order history across all channels with item-level detail and pricing.
Captures browsing behavior, abandoned carts, coupon usage, and response to marketing campaigns.
Store customer preferences, favorite toppings, delivery instructions, and special occasion dates.
Profile updates and interactions sync in real time across all touchpoints and locations.
Recency, Frequency, Monetary segmentation that groups customers by value, enabling targeted promotions and personalized experiences.
Visual RFM grid dividing customers into tiers from champions to at-risk with clear action guidance.
Create dynamic customer segments based on RFM scores, purchase behavior, and demographic data.
Automated customer value scoring that updates with every order and interaction.
Send targeted promotions to specific RFM segments with tailored messaging and offer levels.
Define custom RFM thresholds and scoring rules tailored to your pizza business metrics.
AI that identifies household links, corporate accounts, and duplicate profiles, maintaining a single source of truth for every customer.
AI identifies and links customer profiles sharing the same address, phone, or payment method.
Automatically detects and merges duplicate customer profiles using fuzzy matching algorithms.
Intelligent merge of duplicate profiles preserving the most complete and recent data from each.
Deduplicated customer database ensuring consistent communication and accurate analytics.
Configurable matching rules and confidence thresholds for automated profile linking and merging.
Track every customer interaction across web, mobile, and in-store — page views, clicks, order patterns, and device preferences.
Track which menu items, promotions, and pages customers view with session recording and heatmaps.
Complete session timelines showing every click, scroll, and interaction during each visit.
Visual heatmaps showing where customers click most on your online ordering pages.
Identify device preferences, screen sizes, and browsers used for ordering optimization.
Composite engagement scores based on visit frequency, page depth, time on site, and conversion actions.
Predict customer lifetime value at acquisition, enabling smarter marketing spend and personalized retention investment.
AI projects customer lifetime value using early behavior patterns, demographic data, and order history.
Compare LTV across customer cohorts defined by acquisition channel, location, or time period.
Rank customers by predicted LTV to prioritize high-value acquisition and retention efforts.
Calculate expected return on marketing spend per customer based on predicted lifetime value.
Adjust LTV model parameters and retrain on your specific customer data for improved accuracy.
In today's competitive pizza market, standing still means falling behind. Customer Data Platform addresses the critical gaps that hold restaurants back.
Pizza customers interact with brands across an expanding maze of touchpoints — phone calls, websites, mobile apps, delivery aggregators, in-store kiosks, and social media — each leaving data fragments in separate systems with no connection between them. A customer who orders online, picks up in-store, and leaves a review on Google appears as three different people across three different databases, making it impossible to understand their true value or deliver a consistent experience. Marketing efforts are wasted on duplicate communications, missed opportunities compound as behavioral signals from one channel are invisible in others, and loyalty programs cannot credit orders made through the wrong channel. The result is fragmented customer relationships and millions in unrealized lifetime value.
The Customer Data Platform creates unified customer profiles that automatically merge data from every touchpoint — POS, online ordering, delivery apps, phone orders, kiosks, loyalty programs, and review platforms — into a single, complete view of each customer. RFM segmentation groups customers by recency, frequency, and monetary value, creating actionable tiers from champions to at-risk customers with clear guidance on how to engage each segment. Behavioral tracking captures every interaction across web, mobile, and in-store, building rich engagement profiles that reveal preferences, habits, and intent. LTV prediction uses AI to forecast each customer's lifetime value from their earliest interactions, enabling smarter marketing spend and personalized retention investment.
Third-party cookies are being eliminated, walled gardens are tightening data access, and customers increasingly expect personalized experiences that require first-party data strategies. Pizza operators who built their marketing on aggregator-platform customer data are realizing they own the transaction but not the relationship. The shift toward delivery and online ordering has created more data touchpoints than ever, but also more fragmentation — making a unified CDP the essential foundation for any customer-centric strategy. With customer acquisition costs rising across all channels, maximizing the value of existing customer relationships through data unification has become the highest-ROI investment a pizza operator can make.
Unified customer data platforms typically increase marketing ROI by 30-50% through eliminated duplicate communications, better targeting, and personalized messaging based on complete customer profiles. RFM segmentation enables operators to focus retention spend on customers with the highest potential value, typically recovering 15-25% of at-risk customers who would otherwise churn. LTV prediction improves marketing acquisition efficiency by 20-40% by steering spend toward channels and offers that attract high-lifetime-value customers rather than discount-seekers. For a typical pizza chain, the revenue impact of a fully utilized CDP ranges from $100,000 to $500,000 annually depending on scale.
Pizza operators with unified customer data deliver personalized experiences that build loyalty and share of wallet that competitors cannot match because they lack the complete customer picture. The ability to identify and retain high-value customers through RFM analysis creates a compounding advantage, as retained customers order more frequently and at higher average tickets over time. Cross-channel profile unification enables consistent experiences — recognizing a customer whether they order by phone, online, or in-store — that build the kind of brand affinity that no competitor can replicate through discounts alone. As first-party data becomes the only reliable marketing asset, operators who build their CDP early gain an insurmountable data moat.
The CDP ingests customer data from every module in the platform — POS transactions, online ordering history, delivery records, phone order audio transcripts, kiosk interactions, and loyalty program activity — stitching them into unified profiles using intelligent matching algorithms. Behavioral data flows from the website ordering module and mobile app into engagement scores and browsing histories that inform marketing automation triggers. RFM segments and LTV scores are consumed by the Marketing Automation module for targeted campaigns and by the Loyalty Programs module for personalized rewards. The CDP also feeds customer sentiment data from the Reputation Management module into churn prediction models for proactive retention.
Customer profiles are protected with GDPR and CCPA-compliant data governance, including automated consent management, data retention policies, and right-to-deletion workflows. Profile data is encrypted at rest with AES-256 and in transit with TLS 1.3, with field-level encryption for sensitive data elements like payment tokens and contact information. The entity intelligence engine uses privacy-preserving matching algorithms that link profiles without exposing raw personal data across modules. Access to customer profile data is governed by role-based permissions with detailed audit logging of all profile views, merges, and exports.
Unifies customer profiles from unlimited data sources with fuzzy matching accuracy exceeding 99% using 30+ matching attributes. RFM segmentation supports 125+ customer segments with automated scoring updates within 60 seconds of each transaction. Behavioral tracking captures 200+ event types with sub-second latency from web, mobile, and in-store touchpoints. LTV prediction models train on individual customer data with 90-day lookback windows and rolling 12-month projections. Profile storage supports 10+ million customer records with sub-100ms query response times. REST and webhook APIs for real-time profile access from any integrated system.
Launch in days, not months.
Set up the module with your business data, preferences, and rules in minutes.
Connect with your existing systems — POS, payroll, inventory, and more.
Activate and start seeing results immediately with our guided onboarding.
See how Restaurant++'s customer data platform stacks up against the competition.
| Feature | Restaurant++ | Toast | Square | Clover |
|---|---|---|---|---|
| Core Functionality | Included | Basic | Limited | Basic |
| AI Integration | Native AI | Not Available | Not Available | Not Available |
| Multi-Location Support | Unified platform | Separate instances | Separate instances | Separate instances |
| Reporting & Analytics | Real-time dashboards | Basic reports | Basic reports | Limited reports |
| API & Integrations | Open API + webhooks | Limited API | No API | Limited API |
| Mobile Access | Full mobile app | Web-only | Web-only | Mobile app |
| Support | 24/7 priority support | Business hours | Email only | Business hours |
| Pricing | All-inclusive | Per-feature fees | Per-feature fees | Per-feature fees |
Everything you need to know about Customer Data Platform.
Setup takes less than 15 minutes. Import your menu, configure your settings, and you are ready to go.
Hear from restaurant businesses that use Customer Data Platform.
The Customer Data Platform module transformed how we operate. We saw immediate improvements in efficiency and customer satisfaction.
Switching to Restaurant++'s Customer Data Platform was one of the best decisions we made. The AI capabilities alone put them years ahead of competitors.
We evaluated every platform on the market. Restaurant++'s Customer Data Platform was the clear winner — more features, better AI, and lower total cost.
Join 12,000+ restaurant locations that trust Restaurant++ to streamline operations, reduce costs, and drive growth.