CRM migration
Field-level mapping, validation, and rollback between Optimove and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Optimove
Source
HighLevel
Destination
Compatibility
8 of 11
objects map 1:1 between Optimove and HighLevel.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Optimove and GoHighLevel serve different market segments, and the migration reflects that structural gap. Optimove is an enterprise relationship marketing CRM built around a Customer Data Platform with proprietary predictive modeling and multi-brand customer databases. GoHighLevel is an all-in-one agency and small-business CRM focused on pipeline automation, client management, and workflow orchestration at a fraction of the cost. We migrate customer profiles, lifecycle stage assignments, engagement history, and campaign performance data from Optimove's Data Share and API exports into GoHighLevel's Contact, Company, Opportunity, and Activity objects. Predictive model scores and OptiGenie AI next-best-action recommendations are Optimove-specific and cannot transfer; we export the raw numerical scores where available and document the gap for the customer's analytics team. Journey orchestration and campaign automation logic exist only in Optimove's proprietary canvas and cannot be exported as portable artifacts; we deliver a written inventory of every active campaign and journey for manual rebuild in GoHighLevel's Workflow builder. Multi-brand Optimove architectures require schema mapping per customer network to GoHighLevel sub-accounts, which adds scoping complexity but is fully resolvable during discovery.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Optimove object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Optimove
Customer
HighLevel
Contact
1:1Optimove Customer records map to GoHighLevel Contact as the primary object. We export via the Optimove Customers API and Data Share SQL views, resolving the CustomerID as a unique dedupe key. Standard attributes (name, email, phone) map directly. Optimove's custom attributes are audited against GoHighLevel's custom field limits per object. Lifecycle stage assignments are preserved in a custom text field optimove_lifecycle_stage__c for reporting continuity.
Optimove
Lifecycle Stage
HighLevel
Custom Field on Contact
lossyOptimove Lifecycle Stages (e.g., Prospect, Customer, Champion) are not a native GoHighLevel object. We map each distinct stage to a custom field optimove_lifecycle_stage__c on the Contact record as a text value, and we preserve stage transition history from Migration Explorer exports as a JSON blob in a long-text field lifecycle_history__c. This allows the customer's admin to build reporting on original lifecycle state without rebuilding the behavioral model.
Optimove
Customer Attribute (Custom)
HighLevel
Custom Field on Contact
1:1Optimove's custom attributes (up to 50 total across all input methods) map to GoHighLevel custom fields on Contact. We audit the source attribute count during discovery and flag any overflow risk. Attributes originally added via the Optimove real-time API must be created in GoHighLevel before the migration, as API-added attributes in Optimove can only be updated via UpdateCustomerAttributes and affect how we sequence the attribute creation step.
Optimove
Target Group
HighLevel
Custom Field or Tag
1:1Optimove Target Groups are dynamic customer segments built from attribute rules. We export the customer membership lists (which customers belong to which segments) and recreate membership in GoHighLevel as custom multi-select fields (if the segment list is short) or as Tags on Contact records (if the segment count is large). Complex nested rules require manual translation during a post-migration journey mapping workshop.
Optimove
Company (Data Share export)
HighLevel
Company
1:1Optimove does not expose a standalone Companies object in its API, but companies associated with customers can be extracted from Data Share SQL views. We map the company name and domain to GoHighLevel's Company object where the customer uses a company-centric data model. If the customer primarily uses individual contacts without company linking, we skip the Company object import to avoid orphaned records.
Optimove
Campaign
HighLevel
Opportunity (pipeline-based)
1:manyOptimove Campaigns are multi-channel orchestration records (email, SMS, push, web). GoHighLevel does not have a direct Campaign object equivalent to HubSpot or Salesforce. We map active Optimove campaigns to GoHighLevel Opportunities in a dedicated Pipeline (e.g., Marketing Pipeline) where the Opportunity name reflects the campaign title and stage tracks campaign status. Campaign metadata (type, channels, schedule) migrates as Opportunity fields.
Optimove
Campaign Results / Engagement Metrics
HighLevel
Custom Fields on Opportunity + Activity records
1:1Optimove campaign performance data (sends, opens, clicks, conversions, control group metrics) exported from Data Share maps to custom fields on the corresponding GoHighLevel Opportunity. Engagement metrics are linked to CustomerIDs for downstream attribution. We preserve the raw numerical scores where accessible; control group membership assignments migrate as a custom field for post-migration ROI analysis.
Optimove
Control Group
HighLevel
Custom Field on Contact
1:1Optimove Control Groups are documented in Data Share and exportable. We preserve control group membership assignments as a custom field control_group__c on the Contact record. This allows the customer's analytics team to calculate campaign ROI post-migration using the original control group split.
Optimove
Engagement: Email, SMS, Push, WhatsApp
HighLevel
Activity records on Contact
1:1Optimove engagement history (email sends, opens, clicks, SMS, push notifications, WhatsApp messages) exported via Data Share maps to GoHighLevel Activity records attached to the corresponding Contact. GoHighLevel's Activity model supports notes and tasks but not the granular engagement event schema that Optimove tracks. We flatten Optimove's multi-channel engagement events into a standardized activity timeline in GoHighLevel.
Optimove
Multi-Brand / Multi-Network Database
HighLevel
Sub-account
lossyOptimove structures customer data by customer network and brand, with each potentially having independent database schemas. We identify all separate networks during discovery and map each to a GoHighLevel Sub-account. Each sub-account has its own Contact, Company, Pipeline, and Workflow workspace, maintaining data separation equivalent to Optimove's multi-brand architecture. This adds scoping complexity but is fully resolvable with a network inventory during discovery.
Optimove
User / Team Member
HighLevel
User
1:1Optimove user accounts and roles can be listed via the platform admin interface. Role permissions and access levels require manual recreation in GoHighLevel because Optimove's permission model is proprietary. We export the user list and role assignments, then map to GoHighLevel User roles during migration. Any Optimove user without a corresponding GoHighLevel user is held in a reconciliation queue for the customer's admin to provision.
| Optimove | HighLevel | Compatibility | |
|---|---|---|---|
| Customer | Contact1:1 | Fully supported | |
| Lifecycle Stage | Custom Field on Contactlossy | Fully supported | |
| Customer Attribute (Custom) | Custom Field on Contact1:1 | Fully supported | |
| Target Group | Custom Field or Tag1:1 | Fully supported | |
| Company (Data Share export) | Company1:1 | Fully supported | |
| Campaign | Opportunity (pipeline-based)1:many | Fully supported | |
| Campaign Results / Engagement Metrics | Custom Fields on Opportunity + Activity records1:1 | Fully supported | |
| Control Group | Custom Field on Contact1:1 | Fully supported | |
| Engagement: Email, SMS, Push, WhatsApp | Activity records on Contact1:1 | Fully supported | |
| Multi-Brand / Multi-Network Database | Sub-accountlossy | Fully supported | |
| User / Team Member | User1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Optimove gotchas
Custom Attributes 50-attribute limit affects migration scoping
Predictive model scores are Optimove-specific and not portable
Multi-brand architecture requires schema mapping per network
Campaign journey logic has no export format
Longer onboarding timeline affects migration project planning
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Discovery and network inventory
We audit the source Optimove tenant across customer network count, total customer records, attribute usage (against the 50-attribute limit), active campaigns, engagement history volume, and target group count. We identify all separate customer networks and their schema differences. We pair this with a GoHighLevel sub-account strategy: one sub-account per Optimove network, with shared pipeline templates if the customer prefers centralized reporting. The discovery output is a written migration scope, a network-to-sub-account mapping table, and an attribute audit against GoHighLevel's custom field structure.
Custom field design and lifecycle stage mapping
We design the custom field schema in GoHighLevel for each sub-account. This includes creating custom fields for Optimove custom attributes (audited against the 50-attribute limit), mapping Optimove Lifecycle Stages to a custom text field on Contact (optimove_lifecycle_stage__c), and designing a custom field structure for campaign metadata and engagement metrics on Opportunities. We also map Optimove Target Group memberships to Tags or custom multi-select fields based on segment count. Custom fields are deployed into each sub-account before data migration begins.
User provisioning and role mapping
We extract every distinct Optimove user referenced on Customer, Campaign, and Engagement records and map by email to GoHighLevel User accounts. Role assignments from Optimove's admin interface are translated to GoHighLevel role equivalents. Any Optimove user without a matching GoHighLevel user is held in a reconciliation queue for the customer's admin to provision. Migration cannot proceed to contact and engagement imports until the owner reconciliation is complete.
Pilot migration to a single sub-account
We run a pilot migration into one GoHighLevel sub-account using a representative sample of Optimove records (typically 5-10% of total volume from the largest network). This validates the attribute mapping, lifecycle stage preservation, engagement flattening logic, and sub-account data separation. The customer's operations lead spot-checks 25-50 records against the Optimove source and signs off before full production migration begins.
Production migration in dependency order
We run production migration across all sub-accounts in record-dependency order: Users (validated by admin), Companies (if applicable), Contacts (with lifecycle stage and custom attributes resolved), Opportunities (campaign metadata mapped from Optimove Campaigns), Activities (engagement history flattened from multi-channel exports), and Tags (target group membership). Each phase emits a row-count reconciliation report before the next phase begins. We throttle imports to stay within GoHighLevel's 100 requests per 10-second burst limit.
Cutover, validation, and workflow rebuild handoff
We freeze Optimove writes during cutover, run a final delta migration of any records modified during the migration window, then enable GoHighLevel as the system of record for marketing operations. We deliver the campaign and journey inventory document to the customer's admin team, including a recommended rebuild order for GoHighLevel Workflows (prioritizing lead capture, follow-up, and core customer journeys first per migration best practices). We support a one-week hypercare window for reconciliation issues. We do not rebuild Optimove journey logic as GoHighLevel Workflows inside the migration scope; that is a separate engagement.
Platform deep dives
Optimove
Source
Strengths
Weaknesses
HighLevel
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Optimove and HighLevel.
Object compatibility
1 of 8 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Optimove: Not publicly documented in developer documentation.
Data volume sensitivity
Optimove exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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