Executive Summary
Dr. Kelly’s Vet faced a gap between Zendesk and ezyVet, making it difficult to connect lead activity with appointments and customer intent. Vonazon built an associated HubSpot model for customers, pets, and appointments, translating ezyVet data into actionable marketing signals and validating follow-up logic. More than a year later, Dr. Kelly’s returned to expand the integration, shifting from data reliability to audience testing, repeat-client engagement, and lifetime-value reporting.
Challenge
HubSpot needed accurate identity matching, relationship mapping, and appointment automation.
Solution
Vonazon validated data relationships and appointment logic before automating customer outreach.
Results
A proven data model enabled smarter automation, segmentation, and customer engagement.
The Challenge
- Complex Data Matching Phone-only leads created duplicate-record risks in HubSpot.
- Inconsistent Source Data ezyVet data required interpretation before HubSpot could use it effectively.
- Accurate Appointment Status HubSpot needed accurate appointment statuses to trigger the right actions.
- Automation Had to be Reliable Workflows needed to account for changing appointment circumstances
The Solution
Vonazon started by reverse-engineering the operating process before configuring HubSpot. The team traced how customer conversations, pet records, appointments, statuses, and cancellations were represented across Zendesk and ezyVet. That discovery separated data that could change a marketing decision from fields that would only add noise, and it established a clear rule: validate the data model before automating against it.
That decision shaped the architecture. Vonazon mapped ezyVet customers to HubSpot Contacts, retained the existing approach of representing pets as associated Company records, and used a custom Appointment object for individual appointments. Associations connected each appointment to the correct customer and pet, preserving the one-to-many history so it could later support segmentation and reporting rather than sitting inert in the system.
The same judgment showed up in how Vonazon treated the raw ezyVet data. Once the relationships were sound, the team made the data usable rather than simply complete. When appointment records did not reliably distinguish scheduled, completed, canceled, and other states, the team returned to ezyVet with Dr. Kelly’s to identify the correct operational fields rather than automate around an incomplete interpretation. Numerical cancellation values, which arrived as IDs with no meaning on their own, were translated into readable HubSpot labels so financial cancellations, no-shows, and other scenarios could drive different treatment.
Only after those values were mapped did Vonazon validate campaign logic. Dr. Kelly’s checked real HubSpot records against ezyVet, including financial cancellations and no-shows, to confirm that the right customers were being identified. The team then examined suppression logic for future appointments so a customer who had already rescheduled would not receive irrelevant cancellation outreach.
I just don't want to be blasting people with content that doesn't apply to them.
That same discipline shaped enablement. Rather than train the team on HubSpot in the abstract, Vonazon tied administration, navigation, data management, automation, and reporting instruction to the specific customer and appointment scenarios the integration now handled, so training doubled as a walkthrough of the system the team would actually run.
The clearest adoption signal came from the questions that followed:
- Nima began exploring repeat-client and lifetime-value reporting and wanted to test campaign qualification and update campaign links himself
- Allison wanted reporting definitions clear enough to carry back to the broader team as its use of HubSpot reporting grew.
The Results
More than a year later, Dr. Kelly’s returned to Vonazon to expand the proven HubSpot data model rather than replace it. The connected model enabled more precise segmentation, appointment-based follow-up, and tested automation while giving the team greater confidence in customer data. Users shifted from validating data transfers to actively managing campaigns and exploring repeat-client and lifetime-value reporting.
Built to
Scale
The original HubSpot data model proved durable, allowing Dr. Kelly’s to expand it rather than replace it.
Connected Customer Insights
Linking customers, pets, appointments, and Zendesk activity made appointment behavior actionable for segmentation and follow-up.
Smarter Automation
Validated cancellation data and tested suppression logic created a more controlled path to automation.
Greater Team Adoption
The team moved from simply transferring data to actively validating records, testing campaigns, and exploring repeat-client and lifetime-value reporting.
Ready When You Are
Talk with Vonazon about building a HubSpot integration around the way your business actually operates.
