Consolidate customer records
Reviewed duplicate Contacts, merged or consolidated records where appropriate and brought customer history together while preserving separate commercial relationships as Deals.
CASE STUDY · HUBSPOT CRM ARCHITECTURE
From duplicate Contacts to a scalable Deal-based CRM model.
A CRM redesign that moved commercial tracking away from duplicated Contact records and created a cleaner structure for customer history, workflows, reporting and future growth.
HubSpotCRM ArchitectureData Clean-UpMigrationAutomationReporting
THE PROBLEMOne customer could exist as multiple Contacts
THE CHANGEOne Contact with separate Deals for each service
THE WORKData, workflows, reporting and team adoption rebuilt around the new model
The CRM had outgrown a Contact-based operating model.
Sales and Client Success activity had been tracked primarily on Contact records. That worked when the process was simpler, but it became difficult to scale as customers could have multiple service plans over time.
To represent those plans separately, one real customer could end up with multiple Contact records. Plus-addressing such as name+1@email.com was sometimes used to differentiate duplicate records.
That created several operational problems at once: duplicate data, fragmented communication history, email deliverability issues, scattered historical information and reporting that became harder to trust.
Keep the customer central. Move the commercial history to Deals.
The redesign changed the operating model so a customer could exist as one Contact while each service plan, commercial relationship or change could be represented separately as a Deal.
OLD MODELSame customer
Contact
Contact +1
Contact +2
Commercial plans stored across duplicate people records→
NEW MODELOne Contact
Plan APlan BPlan C
Commercial plans stored as separate DealsThe redesign was more than changing an object.
Migrate historical sales data
Moved historical sales and customer-success information into the new Deal-based structure so the redesigned CRM did not lose the context the team still needed.
Rebuild workflows and record structure
Updated workflows, properties and record cards so automation and everyday record usage matched the new architecture.
Rebuild reporting and dashboards
Changed reporting so pipeline, customer movement and operational activity could be measured against the new model instead of the old Contact-based structure.
Enable the team
Presented the new process and flow to the team so they understood why the CRM changed and how to use the redesigned structure correctly.
The model also had to support what happened after the sale.
The redesigned lifecycle supported the customer moving through Sale, Onboarding, Delivery, Account Management, Re-onboarding, Upgrade or Downgrade, and Closure without needing to create a new person record each time the commercial relationship changed.
SaleOnboardingDeliveryAMRe-onboardingUpgrade / DowngradeClosure
A CRM structure that better matched the real customer relationship.
Cleaner customer records
One central Contact instead of creating multiple people records for different service plans.
More complete customer history
Communication and historical information could be brought together around the actual customer.
Clearer commercial tracking
Each service or commercial relationship could be tracked independently through Deals.
Stronger reporting foundation
Reports, dashboards and automation could be rebuilt against a structure designed for the real operating process.
WHAT THIS PROJECT DEMONSTRATES
CRM architecture is operational design, not just configuration.
The project combined data clean-up, object architecture, migration, lifecycle design, automation, reporting and team enablement. Each part depended on the others working together.
Explore CRM & operations services →HAS YOUR CRM OUTGROWN ITS ORIGINAL SETUP?
We can look at the structure behind the problem.
Duplicate records, unclear pipelines and unreliable reporting are often symptoms of a deeper architecture or process issue.