CASE STUDY
Advanced HubSpot Integration with Dictionary-Based Data Model
Challenge
A healthcare platform needed to turn HubSpot into a reliable core for user data, segmentation and future automation. The existing CRM approach relied on flat properties, inconsistent synchronisation and manual handling, which made it difficult to represent richer user attributes, avoid duplication, and build a scalable data model for reporting, campaign targeting and analytics.
Solution
MPED designed and implemented a HubSpot integration architecture that used custom objects and associations to model richer, dictionary-based user attributes in CRM. The delivery covered the data model, serverless integration logic, synchronisation rules, idempotent processing, deduplication controls and a scalable structure ready for future segmentation, analytics and automation.
System functionality
- Synchronisation of user lifecycle events such as registration and profile updates
- Creation and update of CRM contacts in HubSpot
- Dynamic creation and maintenance of dictionary-based custom objects
- Linking contacts with multiple attributes through HubSpot associations
- Centralised and structured CRM data model ready for segmentation and analytics
TECHNICAL SPECIFICATIONS
- Serverless integration built on Azure Functions
- Event-based processing for user registration and update events
- GUID-based identity mapped into HubSpot through a custom property
- Association-driven relational model using HubSpot custom objects
- Idempotent processing logic to prevent duplicate contacts and dictionary values
Technologies
- .NET (C#)
- Azure Functions
- REST APIs
- Event-driven architecture
- HubSpot custom objects and associations
APPLICATIONS
- Multi-dimensional marketing segmentation
- Personalised communication campaigns
- CRM-driven analytics and reporting
- Future AI and scoring models
- Business intelligence built on cleaner CRM data
Results
- Eliminated manual data handling across the CRM synchronisation flow
- Introduced structured, relational data into HubSpot instead of a flat contact-property model
- Maintained controlled dictionary values without duplicate records
- Improved segmentation capability across multiple user attributes
- Created a scalable CRM data architecture ready for growth, automation and analytics
Summary
This project transformed HubSpot from a flat contact store into a structured CRM data platform for a healthcare-focused digital business. By combining a reusable dictionary-based model, automated synchronisation and controlled association logic, MPED created a more reliable foundation for segmentation, analytics and future automation without exposing client-specific structures or identifiers.