“Cloud in India delivered a flawless Pardot ➜ HubSpot migration, tightened our Salesforce pipeline, and gave marketing the agility we needed.”
Case Study: Salesforce Pardot to HubSpot Implementation
Engagement Lead: Priyanka Gawalier
RevOps | Integrations | Marketing Automation
“A zero-downtime move from Pardot to HubSpot, keeping Salesforce as the source of truth and improving pipeline velocity.”
1. Overview & Objectives
A multinational B2B SaaS provider wanted to consolidate its marketing stack and modernise automation by migrating from Pardot (Marketing Cloud Account Engagement) to HubSpot Marketing & Sales Hubs while retaining Salesforce as the CRM. Drivers included: simplifying campaign operations, improving marketing–sales alignment, reducing license footprint, and achieving multi-touch attribution across the funnel. Key objectives:
- Audit and migrate assets (lists, fields, templates, landing pages, automation rules, Engagement Studio programs).
- Implement the bi-directional HubSpot–Salesforce connector with clean field mappings and sync governance.
- Rebuild lead lifecycle: scoring, MQL/SQL definitions, SLAs, and hand-off automation.
- Harmonise consent & preferences (GDPR/CCPA) and first-party tracking.
- Stand up reporting for pipeline attribution and campaign ROI.
2. Delivery Approach
We executed a six-workstream, phased plan:
Discovery & Audit: Asset inventory (forms, lists, automations), data quality profiling, domain & tracking review, compliance posture.
Data Model & Mapping: Unified person & account schema; lifecycle stages; field consolidation and picklist harmonisation.
Connector Implementation: HubSpot–Salesforce sync with selective object scope; duplicate handling; sandbox tests; sync monitors & alerts.
Asset Migration: Landing pages, emails, blog CTAs, files; replace Pardot scoring/grade with HubSpot score; recreate journeys in Workflows.
Consent & Tracking: Cookie banner & legal bases; subscription types; UTM standards; offline events ingestion for webinars/events.
Analytics & Enablement: Attribution dashboards, marketing–sales SLA dashboards; role-based training and playbooks; go-live hypercare.
Pillars: Data, Automations, Consent, Connector, Content, Insights.
Why it works: It preserves Salesforce as the system of record, reduces operational toil, and gives marketing
the agility of HubSpot’s workflows and content tools—without sacrificing data governance.
3. Solutions Implemented
1) HubSpot Marketing Hub: Forms & progressive profiling; smart content; email templates; A/B testing;
Workflows for nurture, enrichment, re-engagement, and renewal reminders.
2) Salesforce Integration: Bi-directional sync for Leads, Contacts, Accounts, Opportunities, Campaigns;
governed field mappings; lead assignment via queues & routing rules.
3) Lifecycle & Scoring: Behavioural & firmographic scoring; MQL thresholds; SLA timers; automated notifications and task creation in Salesforce.
4) Consent & Preferences: Subscription center, double opt-in, granular legal bases, and regional policies; cookie management aligned with analytics tags.
5) Content & Web: Re-platformed landing pages and gated assets; dynamic CTAs; structured UTM taxonomy for paid & partner channels.
6) Attribution & Reporting: HubSpot multi-touch attribution, Salesforce Campaign Influence, and a lightweight model in CRM Analytics/Tableau for exec KPIs.
7) Operations & QA: Release plan, change logs, and automated regression tests for sync & scoring using sandbox data.
4. Outcomes & Impact
• Zero lead loss and no downtime during cutover; 2.3M events re-tracked to new cookie schema.
• +18–25% MQL → SQL conversion after scoring recalibration and SLA alerts.
• −35% campaign build time due to reusable modules and workflow templates.
• +22% email engagement from progressive profiling and smart content.
• Cleaner CRM: 41% duplicate reduction and standardised picklists; improved Campaign Influence reporting.
• Cost optimisation: Consolidated tools removed two legacy point solutions.
Next step for your business: Run a 4-week Pardot → HubSpot Readiness assessment (asset audit, sync map, risk log) and then a 6–10 week migration—cut over in waves, starting with net-new leads, then historical warm leads and automations.