Salesforce to HubSpot CRM Migration — Methodology

This document covers the core concepts, frameworks, and calculations behind the Salesforce to HubSpot CRM Migration playbook. It provides the methodological foundation — the 'how it works' behind the execution steps.

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1) Core Concepts

The mental models, frameworks, and key distinctions needed before executing a Salesforce to HubSpot migration.

CRM Data Model Divergence

What is it?

Salesforce and HubSpot store CRM data using fundamentally different data models. Salesforce uses an object-relational structure with Accounts, Contacts, Leads, and Opportunities as distinct objects connected by lookup and master-detail relationships. HubSpot uses an association-based model where Companies, Contacts, and Deals are connected through flexible associations rather than rigid parent-child hierarchies [1].

Why does it matter?

Every migration decision flows from understanding these structural differences. Mapping is not a 1:1 rename -- it requires rethinking how data relationships work. Misunderstanding the model leads to broken associations, orphaned records, and lost relationship context after migration.

Key insight:

Salesforce separates Leads and Contacts as distinct objects with a conversion event between them. HubSpot has no Lead object -- all people are Contacts, and the Lifecycle Stage property (Subscriber, Lead, MQL, SQL, Opportunity, Customer) tracks their progression. This single difference affects routing workflows, reporting logic, and every automation that references "Leads."

Examples:

Context	Example
Lead/Contact merge	A Salesforce org with 50,000 Leads and 30,000 Contacts becomes 80,000 Contacts in HubSpot, with Lifecycle Stage properties mapped from Lead Status and Opportunity Stage
Account hierarchy	Salesforce parent-child Account hierarchies must map to HubSpot's Parent Company associations, which support fewer nesting levels
Record types	Salesforce Opportunity Record Types (New Business, Renewal, Expansion) become separate Deal Pipelines in HubSpot, each with distinct stages

Migration vs. Integration vs. Sync

What is it?

Three distinct approaches to connecting two CRM systems, often confused. Migration is a one-time move where all data transfers from Salesforce to HubSpot and Salesforce is decommissioned. Integration keeps both systems active with bidirectional data flow. Sync is a subset of integration using native connectors (like HubSpot's Salesforce integration) for ongoing data exchange.

Why does it matter?

Clients frequently conflate these terms, leading to misaligned expectations. A migration project has a clear end state (Salesforce off, HubSpot on). An integration has no end -- it requires ongoing maintenance. Scoping a migration as if it were an integration (or vice versa) causes budget overruns and timeline failures.

Key insight:

If the client says "migration" but plans to keep Salesforce active for 6+ months while teams gradually move, that is a phased integration with eventual migration -- a fundamentally different project with different complexity, cost, and risk profile.

Common misunderstandings:

• Misconception: "We'll just use the HubSpot-Salesforce connector to migrate." Reality: The native HubSpot-Salesforce integration is designed for ongoing sync, not extended historical data migration. It does not transfer historical activities, attachments, or custom object data. Migration requires export/import tooling or dedicated migration platforms (Trujay/SyncMatters, Import2, or custom ETL).

• Misconception: "Migration is just moving the data." Reality: Data is typically 30-40% of the effort. Workflow rebuild, reporting recreation, integration reconfiguration, user training, and change management account for the remaining 60-70% [2].

The "Clean Before You Move" Principle

What is it?

The discipline of auditing and cleaning data in the source system (Salesforce) before migrating it to the target system (HubSpot). This means deduplicating, standardizing, archiving stale records, and validating field completeness before any data leaves Salesforce.

Why does it matter?

Migrating dirty data is the most cited cause of migration failure [3]. The average B2B CRM has a 15-30% duplicate rate [4]. Importing duplicates, incomplete records, and stale data into a new system poisons adoption from day one -- reps lose trust in data accuracy and revert to spreadsheets or memory.

Key insight:

A 25-person SaaS company migrated 180,000 contacts from Salesforce to HubSpot without deduplication. Result: 54,000 duplicate records (30% duplicate rate), 120 hours of manual cleanup, and $23,000 in lost productivity [3]. Cleaning before migration would have cost a fraction of that.

The Framework:

Source Assessment --> Cleanup --> Validation --> Test Migration --> Production Migration

  [Salesforce]                                              [HubSpot]
  - Audit duplicates    --> Merge/purge         --> Verify counts match
  - Check field rates   --> Standardize values  --> Validate field mapping
  - Identify stale data --> Archive/delete       --> Confirm clean import

Common misunderstandings:

• Misconception: "We'll clean the data after we migrate it to HubSpot." Reality: Post-migration cleanup in a new system is 3-5x more expensive and disruptive than pre-migration cleanup. Users are already trying to work in HubSpot while data quality issues undermine their confidence.

• Misconception: "Our data is pretty clean." Reality: Without measurement, this is always an assumption. Run duplicate detection, field completion analysis, and stale record counts before accepting any data quality claim. Typical B2B CRMs have 10-25% incomplete contact records and 15-30% duplicates [4].

Platform Capability Mapping

What is it?

The process of understanding which Salesforce capabilities have direct HubSpot equivalents, which require alternative approaches, and which have no equivalent. This is not just field mapping -- it covers workflows, automations, reports, integrations, custom code, and user experience patterns.

Why does it matter?

Not everything in Salesforce translates to HubSpot. Apex triggers have no direct equivalent. Complex Process Builder flows may need Operations Hub for equivalent logic. Salesforce CPQ does not map cleanly to HubSpot Quotes. Understanding these gaps early prevents mid-project scope creep and client frustration.

Key insight:

The goal is not to replicate Salesforce in HubSpot. The goal is to achieve the same business outcomes using HubSpot's native capabilities. Often this means simpler, fewer automations -- HubSpot's workflow builder can replace 3-5 Salesforce automations with a single workflow [5].

Examples:

Salesforce Capability	HubSpot Equivalent	Migration Note
Apex Triggers	Workflows + Operations Hub custom code	Requires rewrite; no 1:1 migration path
Process Builder / Flow	HubSpot Workflows	Many can be simplified; complex branching may need Operations Hub
Validation Rules	Required properties + Workflow-based validation	Less granular; some rules become process guidance
Reports & Dashboards	HubSpot Custom Reports	Rebuild required; HubSpot reporting has different strengths/limits
Record Types	Pipelines or property-based segmentation	Fundamental architecture difference
Profiles & Permission Sets	Teams + Permission Sets	Simpler model; may need to consolidate complex Salesforce permission structures
Formula Fields	Calculated Properties or Operations Hub	Limited formula support natively; complex formulas need custom code
Campaign object	Marketing Campaigns (Marketing Hub)	Different tracking model; requires rethinking attribution
Custom Objects (unlimited)	Custom Objects (Enterprise only, max 10 per account)	Major constraint; requires object consolidation strategy [6]

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2) Decision Frameworks

Matrices, decision trees, and "when to use what" guidance for migration approach selection.

Approach Selection Matrix

Situation	Recommended Approach	Why
<50K total records, <10 active workflows, no custom objects	Big Bang migration	Low complexity; rip-the-bandaid approach is faster and cheaper
50K-500K records, 10-50 workflows, 1-3 custom objects	Phased by object type	Moderate complexity; migrate core objects first, then layer complexity
500K+ records, 50+ workflows, heavy Apex, multiple BUs	Phased by department/BU	High complexity; isolate risk by migrating one team at a time
Dual-CRM period required (sales in SF, marketing in HS)	Integration-first, then migration	Teams need parallel access; sync during transition, then cut over
Regulatory/compliance requirements (audit trail mandatory)	Phased with extended parallel run	Need verifiable data integrity at each stage; read-only Salesforce for 90+ days

Scoping Factors

Variables that determine migration approach, timeline, and effort.

1. Data Volume

• <50,000 records total --> Simple: 4-6 week timeline, single migration event
• 50,000-500,000 records --> Medium: 6-10 week timeline, phased object migration
• 500,000+ records --> Complex: 10-16 week timeline, requires dedicated migration tooling and staged approach [7]

2. Customization Depth

• Standard Salesforce (mostly out-of-box) --> Lower effort; direct mapping possible for most elements
• Moderate customization (custom fields, some Process Builder flows) --> Medium effort; 1-2 weeks for workflow audit and rebuild planning
• Heavy customization (Apex, Lightning components, complex automations) --> High effort; 3-5 weeks for capability mapping and alternative design

3. Integration Footprint

• 0-3 third-party integrations --> Minimal impact; reconfigure point-to-point
• 4-10 integrations --> Moderate; need integration cutover plan with sequencing
• 10+ integrations --> Significant; some tools (Outreach, Salesloft) can only connect to one CRM at a time -- requires careful cutover sequencing

4. Number of Business Units / Teams

• Single team/BU --> Straightforward; one set of pipelines, one training cohort
• 2-4 teams --> Need per-team pipeline configuration and training schedules
• 5+ teams or multi-region --> Consider phased rollout by team; increases timeline by 2-4 weeks per additional cohort

5. HubSpot Subscription Level

• Professional --> No custom objects, limited workflow triggers, no calculated properties. Migration scope must account for these constraints.
• Enterprise --> Full custom objects (up to 10), Operations Hub available, custom coded actions in workflows. Needed for complex Salesforce environments.

Big Bang Approach

Best for:

• Small to mid-size companies (<100 users)
• Clean, well-structured Salesforce orgs
• Strong executive mandate for fast transition
• Budget-conscious projects (shorter parallel run = lower cost)

Not recommended for:

• Organizations with complex Apex customizations
• Multi-BU companies with different sales processes
• Risk-averse organizations or regulated industries
• Teams with low technology adoption maturity

Key differences from standard:

Aspect	Phased	Big Bang
Migration event	Multiple weekends over 4-8 weeks	Single weekend or scheduled downtime
Parallel system cost	2-4 months of dual licenses	1-2 months max
Risk profile	Incremental, contained failures	All-or-nothing; rollback is complex
Team disruption	Gradual adaptation	One sharp transition
Timeline	10-16 weeks total	6-10 weeks total
Best for	Complexity, risk mitigation	Speed, cost savings

Phased Migration Approach

Best for:

• Enterprise organizations with multiple sales processes
• Heavy Salesforce customization requiring HubSpot alternatives
• Organizations needing to maintain business continuity during transition
• Teams where adoption risk is high and gradual change management is needed

Not recommended for:

• Small teams where dual-system confusion outweighs risk mitigation
• Tight budget constraints (parallel licensing costs add up)
• Organizations with urgent Salesforce contract end dates

Phasing options:

Phasing Strategy	Description	When to Use
By object type	Companies/Contacts first, then Deals, then Activities	Standard choice; lets you validate core data before adding complexity
By department	Marketing first, then Sales, then CS	When departments have distinct data needs and can operate independently
By geography	NA first, then EMEA, then APAC	Multi-region orgs with region-specific processes
By data age	Active/recent records first, then historical	When historical volume is very large and active data is priority

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3) Benchmarks & Standards

How to Use Benchmarks

Benchmarks are guidelines, not rules. Always:

1. Start with benchmark as baseline
2. Adjust based on client-specific Salesforce complexity
3. Validate against their actual data volumes and customization depth
4. Document deviations and rationale

Data Quality Benchmarks

Metric	Acceptable	Good	Excellent	Notes
Duplicate rate (Contacts)	<5%	<2%	<1%	Typical B2B CRM starts at 15-30% pre-cleanup [4]
Duplicate rate (Companies)	<3%	<1%	<0.5%	Company matching is harder; name variations are common
Field completion (critical fields)	>85%	>90%	>95%	Critical = email, company, lifecycle stage, owner
Stale record rate	<20%	<10%	<5%	No activity in 24+ months
Email validity rate	>80%	>90%	>95%	Based on bounce history and format validation
Owner assignment accuracy	>95%	>98%	100%	Every record needs a valid owner in HubSpot

Source: Industry CRM data quality benchmarks compiled from Databar, RevBlack, and LeanScale client data [4][8].

Interpretation:

• Below acceptable: Do not proceed with migration. Mandate cleanup phase first. Migrating data below these thresholds guarantees adoption problems.
• Above excellent: Rare for Salesforce orgs that have been active 3+ years. If a client claims these numbers without evidence, verify independently.

Migration Timeline Benchmarks

Migration Complexity	Planning	Data Cleanup	Build & Configure	Data Migration	Testing & QA	Training & Cutover	Total
Simple (<50K records, minimal custom)	1-2 weeks	1-2 weeks	1-2 weeks	1 week	1 week	1 week	6-10 weeks
Medium (50K-500K, moderate custom)	2-3 weeks	2-3 weeks	2-4 weeks	1-2 weeks	1-2 weeks	2 weeks	10-16 weeks
Complex (500K+, heavy custom, multi-BU)	3-4 weeks	3-4 weeks	4-6 weeks	2-3 weeks	2-3 weeks	3-4 weeks	16-24 weeks

Source: Aggregated from HubSpot migration partners (Aptitude 8, Huble, SyncMatters) and LeanScale project data [5][9][10].

Cost Benchmarks

Metric	Range	Notes
Salesforce per-user cost (Enterprise)	$150-300/user/month	Varies by edition; does not include add-ons
HubSpot per-user cost (Enterprise)	$50-150/user/month	Seat-based pricing; varies by Hub bundle
Typical TCO reduction (3-year)	25-50%	Mid-market (25-100 users): HubSpot TCO roughly 1/3 of Salesforce TCO [11]
Migration project cost (agency/partner)	$15,000-$150,000+	Depends on complexity; simple = $15-30K, medium = $30-75K, complex = $75-150K+
Workflow rebuild effort (% of total project)	30-40%	Workflows do not auto-migrate; this is consistently underestimated
Post-migration productivity dip	2-4 weeks	Expect 15-25% productivity drop during learning curve

Source: Aptitude 8 TCO analysis, Huble Digital, LeanScale project estimates [11][10][3].

Quick Reference Thresholds

Question	Good	Warning	Red Flag
Data cleanup needed before migration?	<5% duplicates, >90% field fill	5-15% duplicates, 80-90% fill	>15% duplicates, <80% fill
Workflow rebuild timeline realistic?	2-4 weeks budgeted for rebuild	1 week budgeted	"We'll just import the workflows"
User adoption plan in place?	Role-based training + 2-4 week hypercare	Generic training session planned	No training planned
Historical data scope manageable?	Last 2-3 years of closed deals	All data, all time	"Migrate everything, including archived records from 2010"
Custom object count in Salesforce	0-3 custom objects	4-8 custom objects	10+ custom objects (exceeds HubSpot Enterprise limit of 10)

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4) Calculations & Scoring

Formula Quick Reference

Calculation	Formula	Example
Duplicate Rate	(Duplicate Records / Total Records) x 100	12,000 dupes / 80,000 contacts = 15%
Field Completion Rate	(Records with Field Populated / Total Records) x 100	72,000 with email / 80,000 contacts = 90%
Migration Complexity Score	Sum of weighted factor scores (see rubric below)	Volume(3) + Custom(4) + Integrations(2) + Teams(2) = 11/20 (Medium)
Estimated Cost Savings (Annual)	(SF Annual Cost - HS Annual Cost) / SF Annual Cost x 100	($180K - $90K) / $180K = 50% reduction

Migration Complexity Scoring Rubric

Use this rubric during discovery to classify migration complexity and set appropriate timeline and budget expectations.

Data Volume Score:

Criterion	Points	Threshold
Total record count <50K	1 pt	Simple volume
Total record count 50K-500K	3 pts	Moderate volume
Total record count 500K+	5 pts	High volume; requires staged migration

Customization Depth Score:

Criterion	Points	Threshold
Standard Salesforce, <10 custom fields per object	1 pt	Minimal customization
Moderate: 10-50 custom fields, Process Builder flows	3 pts	Typical mid-market
Heavy: 50+ custom fields, Apex triggers, Lightning components	5 pts	Requires significant rebuild effort

Integration Footprint Score:

Criterion	Points	Threshold
0-3 third-party tools	1 pt	Minimal integration risk
4-10 third-party tools	3 pts	Moderate; need cutover sequencing
10+ third-party tools	5 pts	High; integration migration is its own workstream

Organizational Complexity Score:

Criterion	Points	Threshold
Single team, single pipeline	1 pt	Straightforward
2-4 teams, 2-4 pipelines	3 pts	Moderate; per-team configuration needed
5+ teams, multi-region, multiple BUs	5 pts	Complex; phased rollout required

Tier Thresholds:

• Simple (4-8 points): Big bang feasible. 6-10 week timeline. $15-30K budget range.
• Medium (9-14 points): Phased recommended. 10-16 week timeline. $30-75K budget range.
• Complex (15-20 points): Phased mandatory. 16-24 week timeline. $75-150K+ budget range.

Data Quality Index (DQI)

Calculate before migration to determine if data cleanup phase is required.

Formula:

DQI = (0.30 x Completeness) + (0.25 x Accuracy) + (0.25 x Uniqueness) + (0.20 x Timeliness)

Variables explained:

• Completeness = % of records with all critical fields populated (email, company, owner, lifecycle stage)
• Accuracy = % of records with validated data (valid email format, correct phone format, matching company name)
• Uniqueness = 100% minus duplicate rate
• Timeliness = % of records with activity in the last 24 months

Worked Example:

Scenario: Mid-market SaaS company with 120,000 contacts in Salesforce

Given:
- Completeness = 82% (critical fields populated)
- Accuracy = 88% (validated formats)
- Uniqueness = 78% (22% duplicate rate)
- Timeliness = 65% (35% of records have no activity in 2+ years)

Calculate:
- DQI = (0.30 x 82) + (0.25 x 88) + (0.25 x 78) + (0.20 x 65)
- DQI = 24.6 + 22.0 + 19.5 + 13.0
- DQI = 79.1

Validation:

• DQI > 85: Proceed to migration with standard cleanup
• DQI 70-85: Mandatory cleanup phase before migration (add 2-4 weeks)
• DQI < 70: Extended cleanup required; consider data quality project as prerequisite before migration scoping

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5) Edge Cases & Deep Dives

Tricky scenarios that require special handling -- the institutional knowledge that prevents mid-project surprises.

Edge Case 1: Heavy Apex / Custom Code Dependency

Scenario:

The client's Salesforce org has 20+ Apex triggers, custom Lightning components, and Visualforce pages that support core business processes. Sales reps rely on custom UIs for deal registration, approval workflows, and commission tracking.

Challenge:

HubSpot has no Apex equivalent. Custom coded actions in HubSpot Workflows (Operations Hub) support JavaScript/Node.js but with execution limits and a fundamentally different architecture. Lightning components have no HubSpot parallel -- HubSpot's UI customization is limited to custom cards and CRM extensions.

Approach:

1. Inventory all Apex triggers and classify by function: data validation, field updates, notifications, external callouts, complex business logic
2. Map each to HubSpot alternatives: Workflows for field updates and notifications, Operations Hub custom code for complex logic, third-party tools (Zapier, Make) for external callouts
3. Identify any functions with no HubSpot equivalent -- these become process changes or external tool requirements
4. Budget 4-8 additional weeks for custom code rewrite and testing

Fallback assumptions:

Missing Capability	Use This Instead	Source
Apex trigger for validation	HubSpot required properties + workflow-based validation	Covers 70-80% of validation use cases
Lightning component for custom UI	HubSpot CRM extensions (beta) or external app iframe	Limited; may require process change
Complex approval workflows	HubSpot approval workflows (Sales Hub Enterprise)	Supports linear approvals; complex branching may need Operations Hub

Edge Case 2: Multi-Business Unit with Separate Sales Processes

Scenario:

A company has 3 business units (SMB, Mid-Market, Enterprise) each with their own Salesforce record types, page layouts, sales processes, and automation rules. They want all three on a single HubSpot instance.

Challenge:

HubSpot does not have Record Types. The equivalent is separate Deal Pipelines, but pipeline-level configuration is less granular than Salesforce Record Type + Page Layout combinations. Property visibility cannot be pipeline-specific in the same way Salesforce controls field visibility per record type.

Approach:

1. Create one Deal Pipeline per business unit (SMB Pipeline, Mid-Market Pipeline, Enterprise Pipeline)
2. Use conditional property logic and required fields per pipeline stage to approximate page layout differences
3. Build separate workflow branches for each BU's automation needs
4. Configure team-based permissions so each BU sees their relevant data
5. Consider HubSpot Business Units add-on if marketing also needs BU-level separation (branding, email domains)

Fallback assumptions:

Missing Data	Use This Instead	Source
Record Type page layouts	Pipeline-specific required properties + property groups	Functional equivalent, less visual control
Record Type-specific automations	Workflow enrollment filters by Pipeline	Same outcome, different trigger mechanism
BU-specific reporting	Dashboard filters by Pipeline or Team	Requires discipline in deal creation; no hard enforcement

Edge Case 3: Historical Data Volume Exceeds Practical Limits

Scenario:

Client has 2+ million records in Salesforce spanning 10+ years, including massive activity history (emails, calls, meeting logs). They want "everything" migrated.

Challenge:

Migrating all historical data is technically possible but practically counterproductive. Import times increase exponentially, data quality degrades in older records, and the cost of cleaning decade-old data exceeds its value.

Approach:

1. Negotiate a historical data cutoff: active records + last 3 years of closed deals + all open pipeline is the standard recommendation
2. For data beyond the cutoff, offer read-only Salesforce access for 90 days (safety net) plus a full Salesforce data export archived in cloud storage (S3, Google Cloud Storage) for compliance
3. Migrate activity history selectively: last 12-24 months of emails/calls for active contacts; older activity summarized in a "Historical Notes" field
4. Use HubSpot's import API for large volumes rather than CSV uploads; batch into 500K-record chunks with validation between batches

Fallback assumptions:

Missing Data	Use This Instead	Source
Activity history older than 2 years	Summary note on contact record: "Pre-migration: X emails, Y calls, last activity [date]"	Preserves context without migrating millions of activity records
Archived deals older than 3 years	Salesforce data export in cloud storage; linked from HubSpot via URL property	Accessible for compliance, not cluttering active CRM

Edge Case 4: Parallel Operation Requirement (Integration Bridge)

Scenario:

The client cannot do a hard cutover. Sales must stay in Salesforce during the transition while marketing moves to HubSpot first. A 2-4 month parallel operation period is required.

Challenge:

Running two CRMs simultaneously creates data fragmentation, sync conflicts, and user confusion. Which system is the "source of truth" during the bridge period? How do you prevent data divergence?

Approach:

1. Use HubSpot's native Salesforce integration as a bridge during the parallel period -- this is what it was designed for
2. Define clear rules: Salesforce is system of record for sales data (deals, activities), HubSpot is system of record for marketing data (forms, campaigns, email engagement)
3. Set sync direction rules per property: Salesforce-wins for sales fields, HubSpot-wins for marketing fields
4. Build a sync health dashboard monitoring record counts, last sync times, and error rates daily
5. Plan a definitive cutover date. Open-ended parallel operation becomes permanent integration by default.

Fallback assumptions:

Missing Data	Use This Instead	Source
Real-time bidirectional sync for all fields	Prioritized sync for 20-30 critical fields; non-critical fields sync nightly	Reduces sync errors and API consumption
Unified reporting across both systems	HubSpot for marketing metrics, Salesforce for sales metrics; manual monthly reconciliation	Accept temporary reporting gap during bridge period

Edge Case 5: Salesforce CPQ / Complex Quoting in Use

Scenario:

Client uses Salesforce CPQ (Configure, Price, Quote) with product rules, pricing rules, discount schedules, and approval chains. They generate quotes and contracts from within Salesforce.

Challenge:

HubSpot Quotes is significantly simpler than Salesforce CPQ. There is no product rule engine, no multi-tier discount schedules, and limited approval workflows for quotes. This is one of the most common blockers for enterprise Salesforce-to-HubSpot migrations.

Approach:

1. Assess actual CPQ usage: many organizations only use 20-30% of Salesforce CPQ's capabilities. Identify what features are actively used vs. configured but unused.
2. For simple quoting (product catalog, basic discounts, single approval): HubSpot's native Quotes tool is sufficient
3. For complex quoting: evaluate third-party CPQ tools that integrate with HubSpot (PandaDoc, DealHub, Proposify)
4. For advanced CPQ (multi-tier pricing, complex product bundling, advanced approvals): this may be a migration blocker. Document it explicitly in the migration scope as a constraint.

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References

[1] RevBlack - HubSpot vs Salesforce: Data Model Differences [2] Huble Digital - 10 Pitfalls to Avoid When Migrating from Salesforce to HubSpot [3] Optif.ai - Zero-Downtime CRM Migration Checklist & Framework 2025 [4] Databar - The Complete Guide to CRM Data Quality Metrics [5] Aptitude 8 - How to Migrate from Salesforce to HubSpot [6] ATAK Interactive - Custom Objects in HubSpot and Salesforce: Integration Challenges [7] MarTech Do - Master Data Migration: 7 Essential Best Practices for B2B RevOps 2025 [8] RevBlack - The 6 Pillars of CRM Data Quality [9] SyncMatters - Salesforce to HubSpot Migration Guide [10] Huble Digital - Salesforce to HubSpot Migration [11] Aptitude 8 - Total Cost of Ownership: HubSpot vs Salesforce