CRM migration
Field-level mapping, validation, and rollback between Optimove and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Optimove
Source
monday CRM
Destination
Compatibility
6 of 9
objects map 1:1 between Optimove and monday CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Optimove is an enterprise relationship marketing CRM built on a Customer Data Platform with predictive modeling, multi-channel orchestration, and multi-brand database architecture. Monday.com CRM is a board-based Work OS with a lightweight CRM module positioned for small to mid-sized teams, priced at $10-$24 per user per month versus Optimove's custom enterprise model starting around $4,000 per month. The structural gap between a data-platform-first CRM and a spreadsheet-origin CRM means we approach this migration as a platform re-modelling, not a record copy. We audit Optimove's 50-attribute ceiling against Monday.com's column structure, split Optimove's multi-brand databases across Monday.com Workspaces, and flag Optimove's proprietary predictive scores and campaign journey logic as non-portable assets that require manual recreation or reframing in Monday.com's board model. We migrate Customers, Companies, Deals, Target Group membership lists, Lifecycle Stage history, and historical engagement metrics. Monday.com automations and workflow logic require manual rebuild post-migration.
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 monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Optimove
Customer
monday CRM
Contact (via CRM board item)
1:1Optimove's central Customer object maps to Monday.com CRM Contacts. Each CustomerID becomes the unique identifier used to resolve downstream engagement records. Standard Customer attributes (email, name, phone, address) map to Monday.com CRM's native Contact fields. Custom attributes from Optimove's 50-attribute ceiling map to Monday.com CRM custom columns. If the Optimove account uses multi-brand architecture with separate databases, we create separate Monday.com Workspaces per brand and map CustomerIDs within each brand context to prevent cross-brand record collision.
Optimove
Company (within Data Share)
monday CRM
Company (via CRM board item)
1:1Optimove's optional Company association in Data Share views maps to Monday.com CRM's Company object. If the customer uses multi-brand architecture, Companies may belong to different customer networks; we create Monday.com CRM board groups per brand or per company hierarchy to preserve the network segmentation that Optimove encodes at the database level.
Optimove
Lifecycle Stages
monday CRM
Contact Status or custom Status column
lossyOptimove's Lifecycle Stage values (subscriber, lead, MQL, SQL, customer, evangelist) map to a Monday.com CRM Status column on the Contact board. Historical stage transitions from Migration Explorer exports are stored as separate Timeline entries in Monday.com's E&A feature, allowing the customer to reference transition history without treating it as a live CRM field. The stage transition timestamps migrate as date columns for historical reference.
Optimove
Target Groups
monday CRM
Contact Groups or filtered board views
1:manyOptimove Target Groups are dynamic customer segments built from attribute rules. We export the customer membership lists as static Contact groups in Monday.com CRM, creating one group per Target Group. Complex nested rules with multiple conditions require translation into Monday.com's filter logic, which may require simplification during the migration scope because Monday.com's filter model supports fewer condition types than Optimove's rule builder.
Optimove
Predictive Values
monday CRM
Custom number columns (reference only)
lossyOptimove's proprietary OptiGenie AI scores and next-best-action predictions are computed internally and have no functional equivalent in Monday.com CRM. We export the raw numerical scores as read-only custom columns on the Contact board. The customer should treat these as historical reference data, not as active scoring, because Monday.com has no mechanism to recalculate them. This is documented explicitly in the migration handoff so expectations are set before cutover.
Optimove
Campaigns
monday CRM
Board or Work Item group
1:1Campaign metadata (name, type, channels, schedules, audience sizes) migrates from Optimove's campaign list as a reference board or group structure in Monday.com. Campaign journey logic and orchestration rules do not migrate because Optimove's visual journey canvas has no export format. We deliver a campaign metadata inventory and recommend a journey mapping workshop post-migration to recreate core customer journey logic in Monday.com's automation builder or external journey tools.
Optimove
Campaign Engagement Metrics
monday CRM
Item history or custom columns
1:1Historical campaign performance data including sends, opens, clicks, conversions, and control group metrics migrates as custom columns on Contact items in Monday.com CRM. Each metric type becomes a column (e.g., emails_opened_2024, sms_sent_total) so that historical engagement context is visible at the Contact level. Control group membership assignments from Optimove's Data Share exports are preserved as a boolean column for post-migration ROI analysis.
Optimove
Control Groups
monday CRM
Custom boolean columns
1:1Optimove's Control Group feature membership is exported from Data Share and stored as a custom boolean column (is_control_group) on Contact items. This allows the customer's marketing team to calculate campaign ROI by comparing test and control group performance in Monday.com's native reporting or exported to a BI tool.
Optimove
Users / Team Members
monday CRM
Team members (manual provisioning)
1:1Optimove user accounts and roles are listed via the platform admin interface, but the permission model is proprietary and cannot be directly mapped to Monday.com's team member roles and access levels. We extract the user roster (name, email, role description) and deliver it as a provisioning checklist for the customer's admin to recreate access levels in Monday.com before the go-live date.
| Optimove | monday CRM | Compatibility | |
|---|---|---|---|
| Customer | Contact (via CRM board item)1:1 | Fully supported | |
| Company (within Data Share) | Company (via CRM board item)1:1 | Fully supported | |
| Lifecycle Stages | Contact Status or custom Status columnlossy | Fully supported | |
| Target Groups | Contact Groups or filtered board views1:many | Mapping required | |
| Predictive Values | Custom number columns (reference only)lossy | Mapping required | |
| Campaigns | Board or Work Item group1:1 | Mapping required | |
| Campaign Engagement Metrics | Item history or custom columns1:1 | Fully supported | |
| Control Groups | Custom boolean columns1:1 | Fully supported | |
| Users / Team Members | Team members (manual provisioning)1:1 | Mapping required |
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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and attribute audit
We audit the Optimove tenant across account structure (single or multi-brand), Customer count per network, custom attribute counts (against the 50-attribute ceiling), Target Group definitions, Lifecycle Stage matrix, campaign list, and Data Share export availability. We pair this with a Monday.com CRM workspace design session: how many Workspaces are needed, how many boards per Workspace, and which Monday.com CRM plan (Standard or Pro) is required for the migration's custom column and automation scope. The discovery output is a written migration scope document with an explicit attribute prioritization list for any customer exceeding Monday.com's practical column limits.
Data export via Optimove Data Share and API
We extract data from Optimove using Data Share SQL views for historical metrics and Lifecycle Stage transitions, the Customers API for real-time profile data, and the campaign metadata export for campaign list. Predictive scores are exported as numerical values per CustomerID. Target Group membership lists are extracted as customer-ID-to-group mappings. Multi-brand accounts receive separate export runs per network database. All exports use CustomerID as the primary join key. We validate row counts against the customer's recorded totals before proceeding to transformation.
Data transformation and schema mapping
We transform exported data into Monday.com CRM-compatible formats: CSV for bulk item creation via Monday.com's API, with column types matched to Monday.com CRM field types (text, date, number, status, email, phone). Lifecycle Stage values are mapped to Status column options. Predictive scores are loaded as read-only number columns with a note in the column description that they are historical reference values. Target Group memberships are loaded as Contact group memberships. Multi-brand data is segmented by Workspace assignment before import begins. We run a deduplication pass against CustomerID to prevent duplicate Contact items.
Workspace and board structure provisioning
We provision Monday.com Workspaces and boards matching the Optimove multi-brand architecture, with one Workspace per customer network. CRM boards are created with Monday.com CRM's native entity types (Contacts, Companies, Deals) plus custom boards for campaign reference data and engagement metrics. Column structures are deployed before any item import to ensure field types are correct and validation rules are in place. Owner assignment uses email matching to the Monday.com team member list; any unresolved owners are flagged for manual provisioning before the next phase.
Sandbox migration and reconciliation
We run a full migration into a Monday.com test Workspace using a sample of production data volume (typically 10-20 percent of total records). The customer's operations lead reconciles record counts and spot-checks 25-50 Contact items against the Optimove source for attribute accuracy, correct Lifecycle Stage assignment, and predictive score preservation. Any mapping corrections are applied to the transformation scripts before the production migration begins. This step is required for multi-brand accounts to validate that the correct Workspace scoping is working across all networks.
Production migration in dependency order
We run production migration in record dependency order: Companies first (if used), then Contacts with Lifecycle Stage assignments and predictive scores, then Target Group memberships as Contact groups, then campaign metadata boards, then engagement metrics as custom columns on Contact items. Each phase emits a row-count reconciliation report. We use Monday.com's API with rate-limit handling and exponential backoff to manage import speed without triggering throttling. During the production migration window, no new records are created in Optimove to avoid delta gaps.
Cutover, validation, and automation rebuild handoff
We freeze Optimove writes at cutover, run a final delta migration of any records modified during the migration window, then enable Monday.com CRM as the system of record. We deliver the campaign metadata inventory, the Predictive Score reference note, and the automation rebuild inventory to the customer's admin team. We support a one-week hypercare window to resolve any reconciliation issues. We do not rebuild Optimove journey logic as Monday.com automations inside the migration scope; that is a separate engagement requiring a journey mapping workshop.
Platform deep dives
Optimove
Source
Strengths
Weaknesses
monday CRM
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 monday CRM.
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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FAQ
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