Lazy Dog for the Win: Unifying Guest Data Across 53 U.S. Locations with Dynamics 365 Customer Insights
Table of Contents
Client Overview
Lazy Dog Restaurants LLC is a U.S.-based restaurant brand operating in the hospitality industry with a growing digital and in-store customer footprint. As guest interactions increased across multiple channels, Lazy Dog’s marketing and analytics teams needed a clearer view of customer behavior. However, data lived in separate platforms, making it difficult to build trusted customer profiles, segment audiences accurately, and personalize campaigns by location, preferences, or engagement activity.
This Dynamics 365 Customer Insights success story outlines how Lazy Dog established a unified customer data foundation to support segmentation, personalization, and future engagement initiatives.
Business Challenges
As guest interactions increased across multiple channels, Lazy Dog’s marketing and analytics teams needed a clearer view of customer behavior. However, data lived in separate platforms, making it difficult to build trusted customer profiles, segment audiences accurately, and personalize campaigns by location, preferences, or engagement activity.
Key challenges included:
- Customer data spread across POS, loyalty, ordering, identity, and marketing systems
- No single, trusted customer profile or “golden record”
- Limited segmentation and reporting capabilities in the legacy marketing platform
- Difficulty personalizing communications by location, preferences, or engagement behavior
As a result, marketing and analytics teams lacked a complete picture of guest activity and were constrained in their ability to activate insights consistently.
Solution Overview
AlphaBOLD partnered with the client to implement Microsoft Dynamics 365 Customer Insights as a centralized Customer Data Platform (CDP). The primary objective was to unify customer data, improve accuracy, and create a single source of truth that could support analytics and marketing activation.
Core solution objectives:
- Create a unified customer profile for each guest
- Establish a reliable golden record using identity resolution
- Enable improved segmentation and data-driven engagement
- Lay the groundwork for activation through Customer Insights Journeys
Technology Implementation
The foundation of this success story was Microsoft Dynamics 365 Customer Insights, implemented by AlphaBOLD as the central Customer Data Platform and system of record for customer data.
AlphaBOLD led the configuration of Dynamics 365 Customer Insights to support enterprise-grade data unification, identity resolution, and governance. This included designing the data model, defining matching and merging logic, and establishing rules to create a reliable golden record for each guest. The focus was not simply on ingesting data, but on ensuring that Dynamics 365 could consistently resolve identities, maintain data accuracy, and support downstream analytics and engagement use cases.
Several enterprise systems were connected to Dynamics 365 Customer Insights, including POS, loyalty, online ordering, identity, and reservation platforms. These systems served as source inputs, while Dynamics 365 functioned as the authoritative layer where customer data was unified, normalized, and governed.
In parallel, AlphaBOLD prepared Customer Insights Journeys as the activation layer. This work focused on ensuring that unified customer profiles created in Customer Insights could be reliably used for segmentation and journey orchestration. A phased readiness approach was used to support the client’s transition from its legacy marketing platform while maintaining continuity across active campaigns and respecting consent and unsubscribe requirements.
This implementation reflects AlphaBOLD’s core Dynamics 365 capabilities: building scalable data foundations, applying structured identity resolution, and aligning Customer Insights and Journeys to operate as a connected, enterprise-ready platform rather than isolated tools.
Services Delivered
AlphaBOLD delivered end-to-end consulting and implementation services, including:
- Project management and delivery oversight
- Solution design, configuration, and deployment
- Data integration and migration planning
- Functional requirements definition
- User training and enablement
- Identity resolution and data modeling design
Throughout the engagement, AlphaBOLD worked closely with client stakeholders to ensure alignment between technical implementation and marketing priorities.
Change Management Approach
Two primary change areas were addressed:
- Marketing operations: Ensuring campaigns continued without disruption during the transition into Customer Insights Journeys
- Data management: Preserving data accuracy, consent tracking, and unsubscribe logic during migration
A phased implementation approach was used to reduce risk. Critical data points were identified early, implementation timelines were coordinated around live campaigns, and testing was prioritized to ensure a smooth transition.
Platform Readiness and Business Impact
Although long-term performance KPIs are still being measured, the implementation created several important operational improvements for Lazy Dog’s marketing and analytics teams:
- Data sources integrated: 7–8 enterprise data sources unified in Microsoft Dynamics 365 Customer Insights (identity, loyalty, online ordering, POS, subscriptions)
- Customer profile unification: Known and previously anonymous customer records resolved into a single profile using identity and transactional data
- Segmentation readiness: Dynamic segments enabled for behavioral and lifecycle use cases (e.g., abandoned cart, birthday campaigns)
- Journey activation: Key journeys rebuilt and activated in Dynamics 365 Customer Insights Journeys following migration from the legacy platform
- Consent management: Centralized email and SMS consent tracking across website, online ordering, and POS systems
Together, these improvements gave Lazy Dog the foundation to move from isolated data points to connected guest understanding.
From Anonymous Transactions to Connected Guest Profiles
Before implementing Dynamics 365 Customer Insights, Lazy Dog had valuable customer signals across its systems, but those signals were not connected. A guest might first appear as an anonymous POS transaction linked only to a payment method. On a later visit, the same guest might use the same card again, place a cash order, or enter an email address to receive a discount or subscribe to updates.
Over time, that same guest could also join the loyalty program, creating a new identifier through a loyalty number. In some cases, another payment method could be used with the same loyalty account, adding another layer of activity to the customer record. Individually, these touchpoints looked like separate transactions. Together, they told a much richer story about the guest.
By implementing Dynamics 365 Customer Insights, AlphaBOLD helped Lazy Dog bring these disconnected records together. POS transactions, loyalty data, online ordering activity, identity records, and marketing engagement signals were unified into a single customer profile. This allowed the platform to identify relationships between payment activity, loyalty membership, email engagement, and ordering behavior.
As a result, Lazy Dog could move from fragmented records to a connected consumer view. The team could better understand when a guest first visited, how often they returned, which identifiers were associated with them, and what patterns appeared in their behavior. For example, a guest might order different meals across visits but consistently add specific items, such as fries or dessert. These insights helped turn hidden transactional data into a practical foundation for segmentation, personalization, and future journey orchestration.
Advanced Analytics Readiness
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Request a ConsultationConclusion
By implementing Dynamics 365 Customer Insights as Lazy Dog’s CDP, AlphaBOLD helped the team build a connected customer data foundation shaped around restaurant-specific needs. The implementation unified POS, loyalty, online ordering, identity, subscription, and marketing data into trusted guest profiles, giving Lazy Dog a clearer view of customer behavior across locations, visits, purchases, and engagement touchpoints.
This foundation now supports stronger segmentation, consent management, journey activation, and future personalization through Customer Insights Journeys. It also gave Lazy Dog the reliable data layer needed to build its own AI-enabled analytics capabilities, helping the team study guest behavior over time, connect engagement patterns with business events, and identify insights that were previously hidden across disconnected systems.
