CRM migration

Migrate from Insightly Marketing to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Insightly Marketing and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Insightly Marketing logo

Insightly Marketing

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

75%

9 of 12

objects map 1:1 between Insightly Marketing and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Insightly Marketing's CRM exports data one category at a time via email-delivered CSV, which requires assembling the files into a unified staging dataset before any Salesforce load. The platform's separate Organization, Contact, Lead, and Opportunity objects map to Salesforce's Account, Contact, Lead, and Opportunity model, but Insightly's Organization-to-Organization parent hierarchy requires translation into Salesforce's Account hierarchy or Account-to-Account relationships. Custom field groups in Insightly (Plus 50, Professional 100, Enterprise 200 per object) create significant mapping work because field types are not always compatible with Salesforce field types without transformation. We use Salesforce's Bulk API 2.0 for large record volumes and resolve parent-record lookups before insert to avoid orphaned relationships. Workflow automations, email templates, and custom object schemas do not migrate as code; we deliver a written recreation checklist for the customer's admin team.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Insightly Marketing logo

Insightly Marketing

What's pushing teams away

  • The learning curve is steep for new users — workflow automation and advanced configuration require time investment, and documentation is described as overwhelming.
  • Reporting capabilities are restrictive compared to enterprise CRMs, with limited flexibility for custom reports or deeper data analysis across large datasets.
  • UI performance issues surface when navigating large datasets, and some advanced features feel limited compared to more complex CRM systems.
  • Per-user pricing scales poorly for growing teams, and the mandatory All-in-One bundle fees (onboarding, AppConnect setup, Premier Support) surprise customers who expected the advertised per-user rate.
  • Customization options are more limited than expected — some users find the system cannot fully adapt to their unique business processes despite the marketing promise.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Insightly Marketing objects map to Salesforce Sales Cloud

Each row shows how a Insightly Marketing object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Insightly Marketing

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Insightly Contact records map directly to Salesforce Contact. Standard fields (FirstName, LastName, Email, Phone, Title) map 1:1. We map custom Contact fields and preserve any tags as a custom multi-select picklist field. Owner assignment resolves by email match against Salesforce User records in the destination org.

Insightly Marketing

Organization

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Insightly Organization records map to Salesforce Account with direct field mapping (OrganizationName to AccountName, Website, Industry, Phone, Address). Insightly's Organization-to-Organization parent relationship maps to Salesforce Account hierarchy (ParentId) if the destination org uses hierarchical accounts, or to a custom Account_Parent__c lookup field if flat cross-reference is preferred. We determine the hierarchy strategy during scoping based on the customer's sales model.

Insightly Marketing

Lead

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Insightly Lead records map directly to Salesforce Lead. Lead_Status maps to Salesforce Lead Status. Any custom Lead fields migrate as custom Lead fields. Insightly does not require a separate Lead-to-Contact conversion step like Salesforce, so we preserve the full Lead record in Salesforce rather than converting unless the customer requests it.

Insightly Marketing

Opportunity

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Insightly Opportunity records map to Salesforce Opportunity. Pipeline name maps to a Salesforce Record Type or Sales Process. Stage names and probability percentages migrate to StageName and StageProbability. Expected Close Date and Amount map directly. Custom Opportunity fields migrate as custom Opportunity fields.

Insightly Marketing

Project

maps to

Salesforce Sales Cloud

Custom Object (Project__c)

1:1
Fully supported

Insightly's native Project object has no direct Salesforce standard equivalent. We create a Project__c custom object in Salesforce and map Project fields (Name, Status, StartDate, EndDate, MilestoneTitle, TaskListName) to custom fields on the new object. Project-to-Contact and Project-to-Organization links migrate as lookup relationship records.

Insightly Marketing

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Insightly Task records map to Salesforce Task with Status, Priority, ActivityDate, Subject, and Description preserved. Task ownership resolves by email match to Salesforce User. The related-to reference (Contact, Organization, Opportunity, or Project) maps to the corresponding WhatId or WhoId in Salesforce.

Insightly Marketing

Custom Object

maps to

Salesforce Sales Cloud

Custom Object

1:1
Fully supported

Insightly custom objects vary per customer implementation, so we require a schema discovery phase before migration to map the actual custom object structure, field types, and relationships. We pre-create the destination schema in Salesforce (with __c API names), including all custom fields, lookup relationships, and validation rules, before any data import. Field type translation is required because Insightly field types (Lookup Relationship, Calculated Field) do not map directly to Salesforce field types without logic.

Insightly Marketing

Custom Fields

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Mapping required

Insightly custom fields organized into custom field groups migrate as Salesforce custom fields on the corresponding object. We map field names, field types, and values but flag any validation rules that restrict what can be imported. Field type differences (Insightly's Lookup Relationship vs Salesforce's Lookup, Insightly's Calculated Field vs Salesforce's Formula Field) require transformation logic during import. Plus tier is limited to 50 custom fields per object; Professional to 100; Enterprise to 200.

Insightly Marketing

Tags

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Custom Field

lossy
Mapping required

Insightly tags on Contacts, Organizations, Opportunities, and Projects migrate to Salesforce as either native Tags (using Topic and TopicAssignment) or as custom multi-select picklist fields on the respective object. The customer chooses the strategy during scoping. Tag names are preserved as-is.

Insightly Marketing

User/Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Insightly user records referenced as owners on Contacts, Organizations, Opportunities, and Projects map to Salesforce User records via email match. We extract every distinct owner email and resolve against the destination org's User table. Owners without a matching User go to a reconciliation queue for admin provisioning before record import proceeds.

Insightly Marketing

Engagement (Email, Call, Meeting, Note)

maps to

Salesforce Sales Cloud

Task, Event, EmailMessage, Note

1:1
Fully supported

Insightly engagement history (emails, calls, meetings, notes attached to records) migrates to Salesforce as Task, Event, EmailMessage, and Note records. We use the Salesforce Bulk API 2.0 for large engagement volumes (over 100,000 records) with chunking and parent-record lookup resolution (WhoId, WhatId). Activity timestamps are preserved to maintain timeline ordering. This mapping requires the parent Contact, Lead, Organization, or Opportunity to exist in Salesforce before the engagement insert.

Insightly Marketing

Email Template

maps to

Salesforce Sales Cloud

Email Template

lossy
Fully supported

Insightly marketing email templates export in a proprietary or HTML format that varies by tier. We extract the HTML content and provide a content package (HTML, images, styles) for rebuilding in Salesforce. Salesforce Classic Email Templates or Lightning Email Templates require manual reconstruction using the extracted content. This is a manual step; we do not deliver a plug-and-play template import.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Insightly Marketing logo

Insightly Marketing gotchas

High

All-in-One bundles carry mandatory setup fees not visible in per-user pricing

Medium

CSV export is per-category and email-delivered, not a single bulk pull

High

Workflow automation rules are not accessible via API or CSV export

Medium

Email templates export in non-standardized format requiring rebuild

Medium

Custom object schemas vary per customer implementation

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Insightly CSV exports arrive per-category by email, not as a bulk pull

    Insightly's native export function generates a separate CSV per data category (Contacts, Organizations, Opportunities, Projects, Tasks) and delivers each file by email. This requires coordinating multiple export sessions, receiving emails via connected inbox rules, and assembling the files into a unified staging dataset before mapping and loading into Salesforce. We automate this coordination and file assembly so that the migration team receives a clean, unified dataset rather than managing multiple email attachments manually. Without this step, data is fragmented across export sessions and difficult to reconcile.

  • Insightly custom object schemas and field types require discovery before mapping

    Insightly custom objects are defined by each customer, meaning field names, field types, and relationships are unique to each instance. Additionally, Insightly field types (Lookup Relationship, Calculated Field, Auto Number) do not map directly to Salesforce field types without transformation logic. We require a schema discovery phase before migration to map the actual custom object structure, identify any dependencies between custom objects and standard objects, determine relationship representation in Salesforce, and design the field type translation. This adds a discovery step to the timeline but prevents silent data loss caused by incompatible field type imports.

  • Insightly workflow automation rules are not accessible via API or CSV export

    Insightly's workflow rules (triggers, field updates, notifications, task creation) live inside the platform's workflow engine and are not included in data exports. We document the existing workflow configuration during discovery and provide a workflow recreation checklist mapped to Salesforce Flow equivalents. This is a manual step that must be planned into the migration timeline; we do not deliver migrated automation as code. Salesforce Flow uses a different trigger model (record-triggered, scheduled, screen) that requires redesign rather than direct translation.

  • Salesforce validation rules and field-level security can block migrated records

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist whitelists) and field-level security that the migrating user must explicitly bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and either temporarily disable blocking validation rules during load or extend rules with a migration-context bypass check. Without this coordination, 5-30 percent record rejection on the first import attempt is common, particularly for date fields with non-ISO formats and required lookup fields that cannot be satisfied during initial load.

  • Insightly Organization hierarchy requires translation to Salesforce Account model

    Insightly's Organization-to-Organization parent hierarchy does not map directly to Salesforce's Account hierarchy without a design decision. We determine during scoping whether the customer wants a true hierarchical Account structure (ParentId on Account), a flat cross-reference (custom junction object), or a denormalized approach with a text field storing the parent Organization name. The chosen model affects how Opportunity-to-Account and Contact-to-Account relationships resolve and must be decided before the Account import phase begins.

Migration approach

Six steps for a successful Insightly Marketing to Salesforce Sales Cloud data migration

  1. Discovery and schema inventory

    We audit the source Insightly instance across plan tier (Plus/Professional/Enterprise), custom field groups, custom objects, pipeline count, active workflow configurations, and record volumes per object. We inventory every Organization hierarchy level, custom field type, and relationship definition. This produces a written migration scope, a field mapping spreadsheet, and a Salesforce edition recommendation (Starter $25/user, Professional $80/user, Enterprise $165/user, Unlimited $330/user) based on the customer's user count and required features.

  2. CSV export assembly and data staging

    We coordinate Insightly's per-category CSV exports (Contacts, Organizations, Opportunities, Projects, Tasks, Custom Objects) by managing the export requests, receiving the email deliveries via connected inbox rules, and assembling the files into a unified staging dataset. We validate record counts per file, check for export completeness, and identify any files that require re-export due to truncation or missing fields. This phase converts Insightly's fragmented email-delivered export into a clean staging dataset ready for Salesforce ingestion.

  3. Destination schema creation in Salesforce Sandbox

    We create the Salesforce destination schema in a Full Copy or Partial Copy Sandbox. This includes custom objects for Insightly Projects and any custom Insightly objects, custom fields on standard objects (Contact, Account, Lead, Opportunity) for every mapped Insightly custom field, Record Types and Sales Processes for each Insightly pipeline, and the Organization hierarchy strategy (ParentId, junction object, or denormalized text). Schema is validated against the mapping spreadsheet before production migration begins.

  4. Sandbox migration and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's admin reconciles record counts (Contacts in, Accounts in, Leads in, Opportunities in, Tasks in), spot-checks 25-50 random records against the Insightly source, and validates the Organization hierarchy mapping. Any mapping corrections happen in the Sandbox phase. Owner reconciliation identifies any Insightly owners without matching Salesforce Users for admin provisioning.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Insightly Organizations with hierarchy resolved), Contacts (with AccountId lookup satisfied), Leads, Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Custom Objects (last, because they often have lookups to standard objects), Projects (as custom object), then Task and Engagement history via Bulk API 2.0. Each phase emits a row-count reconciliation report before the next phase begins. Validation rules are temporarily disabled or bypassed during load and re-enabled after.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Insightly writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the workflow recreation checklist mapping every Insightly workflow rule to a recommended Salesforce Flow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild Insightly workflows as Salesforce Flow inside the migration scope; that is a separate engagement or internal admin task.

Platform deep dives

Context on both ends of the pair

Insightly Marketing logo

Insightly Marketing

Source

Strengths

  • Combines CRM, marketing automation, and project management in a single subscription rather than three separate tools.
  • Right-sized pricing for 10-50 person teams — lower total cost than Salesforce with faster implementation.
  • Custom objects and custom field groups allow non-technical users to adapt the schema to their business without developers.
  • Native Unbounce integration provides landing pages and forms without additional third-party tools post-merger.
  • Annual billing with transparent per-user pricing; record limits scale across Plus (100k), Professional (250k), and Enterprise (500k).

Weaknesses

  • Workflow automation rules are not exportable, requiring manual recreation in the destination platform.
  • CSV export delivers one category at a time via email — not a unified bulk export for migration teams.
  • Mandatory fees (onboarding, AppConnect setup, Premier Support) apply to All-in-One bundles, inflating year-one costs beyond the advertised per-user rate.
  • UI performance degrades with large datasets, and reporting flexibility is limited compared to enterprise CRMs.
  • Email templates export in a format that requires rebuilding rather than direct import into most destination platforms.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Insightly Marketing and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Insightly Marketing: Not publicly documented; Insightly does not publish explicit rate limits in its developer documentation.

  • Data volume sensitivity

    B

    Insightly Marketing doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Insightly Marketing to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Insightly Marketing to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Insightly Marketing to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between four and eight weeks for accounts under 20,000 Contacts, 10,000 Organizations, and 3,000 Opportunities with fewer than 50 custom fields per object and no custom objects. Migrations with custom objects, multi-level Organization hierarchies, large engagement histories (over 100,000 activity records), or complex field type translation move to ten to sixteen weeks because of the CSV assembly work, schema discovery phase, and Bulk API time for engagement history.

Adjacent paths

Related migrations to explore

Ready when you are

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