CRM migration
Field-level mapping, validation, and rollback between RedEye and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
RedEye
Source
monday CRM
Destination
Compatibility
7 of 10
objects map 1:1 between RedEye and monday CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
RedEye and Monday.com CRM serve different operational models. RedEye is a B2C marketing automation platform that prices by contact database size, centres the data model on a unified contact profile enriched with behavioural events, and orchestrates multi-channel campaigns through a visual journey builder. Monday.com CRM is a visual work-management platform with CRM features layered on top of a board-and-column architecture, priced per seat. The migration requires a structural translation: RedEye's contact-centric model maps to Monday.com's People entity and Organisations, behavioural events migrate as a flat historical log or custom column data, and RedEye's campaign definitions translate to board structures rather than native campaign objects. Journey definitions and visual workflow logic do not export as a portable schema and require documentation and rebuild in Monday.com's Automation Centre. We pre-flight RedEye's contact database against Monday.com CRM's seat and storage model, flag any contacts that would push the destination beyond the selected plan, and sequence the import so that parent records (Organisations) exist before dependent records (People) are inserted. We do not migrate Reports and Dashboards; we deliver the underlying data so they can be rebuilt from scratch in Monday.com.
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 RedEye 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.
RedEye
Contact
monday CRM
People
1:1RedEye Contact records map directly to Monday.com CRM People. The unique customer identifier from RedEye becomes the Person's email or a custom external ID column. Standard contact properties (name, phone, address, custom fields) migrate as typed columns in the People board. RedEye deduplication rules are applied before import so that the People board receives one record per unique contact identifier. Any contacts exceeding Monday.com CRM plan storage limits are flagged during pre-flight scoping.
RedEye
Company / Account
monday CRM
Organisation
1:1RedEye's account associations, where present in contact records, map to Monday.com CRM Organisations. Since RedEye's B2C model treats the Contact as the primary record, company linkage is often lighter weight. We export any RedEye account data as a structured dataset and create Monday.com CRM Organisations before People import so that the Organisation-Person relationship is established at insert time rather than patched afterwards.
RedEye
Campaign
monday CRM
Board
1:manyRedEye Campaigns map to Monday.com CRM Boards. Each campaign becomes a board with groups representing campaign segments or target audiences, and items representing individual contact records or segment entries. Campaign-level channel assignments (email, SMS, push) are stored as a text column since Monday.com CRM does not have native multi-channel send infrastructure. Campaign timing and goal metrics migrate as date and number columns on the board.
RedEye
Customer Journey
monday CRM
Board structure + Automation Centre
lossyRedEye journey definitions use a visual workflow builder with branching logic and behavioural triggers that cannot be exported as a portable schema. We extract the journey tree as a structured rule document listing trigger conditions, branch conditions, and action nodes. We then configure Monday.com CRM equivalent Automations using the Automation Centre's trigger-action recipes. The rebuild requires a mapping session with the customer to confirm that RedEye lifecycle stages and behavioural events map to Monday.com CRM board status values and automation triggers. This is documented, not migrated as executable code.
RedEye
Event
monday CRM
Activity log column or sub-board
1:1RedEye behavioural events (website actions, email opens, purchase triggers, form submissions) migrate as a flat historical event log. We preserve event type, timestamp, and contact association. In Monday.com CRM, these map either to a custom Events column on the People board (for simple event type tracking) or to a separate Events board linked to People via a connection column. The customer's admin chooses the representation during scoping based on how they plan to use the data in Monday.com.
RedEye
Product
monday CRM
Items in a Products board
1:1RedEye Product catalogue records (SKU, name, pricing, category) migrate as items in a dedicated Monday.com CRM Products board. The board structure uses standard text, number, and date columns to represent product attributes. Price and category fields map directly; unlimited product records on both RedEye tiers mean no product ceiling constraint applies at migration time.
RedEye
Segment
monday CRM
Board group or People tag
1:1RedEye dynamic segments are contact groups defined by behavioural rules and demographic criteria. We export segment definitions as named rule sets and rebuild them in Monday.com CRM as Board Groups within the People board (for static groupings) or as Tags on People records (for attribute-based groupings). The customer confirms the preferred representation during scoping.
RedEye
Custom Field
monday CRM
Custom column
lossyRedEye custom contact and event fields require explicit field-to-field mapping during scoping. We extract the full field schema from RedEye including data types and required/optional flags, then match each to the equivalent Monday.com CRM column type (text, number, date, dropdown, checkbox, email, phone). Custom field mapping is the most time-intensive phase of the scoping stage for accounts with heavy custom field use.
RedEye
Tag
monday CRM
Tag
1:1Contact and campaign tags from RedEye migrate as Monday.com CRM Tags on the corresponding board records. Tag names are mapped exactly; any tag characters unsupported by Monday.com CRM's tag schema (such as special characters or spaces at tag boundaries) are normalised during import. Tag frequency and usage counts are preserved as metadata.
RedEye
Attachment
monday CRM
File upload to Items
1:1Campaign assets and contact attachments stored in RedEye are exported as files and re-uploaded to the corresponding Monday.com CRM Items via the platform's file upload API. We preserve file names and directory hierarchy so that the customer can re-link assets to campaigns or contacts without manual searching. Attachments exceeding Monday.com CRM's file size limits are flagged during pre-flight for customer decision.
| RedEye | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People1:1 | Fully supported | |
| Company / Account | Organisation1:1 | Fully supported | |
| Campaign | Board1:many | Fully supported | |
| Customer Journey | Board structure + Automation Centrelossy | Fully supported | |
| Event | Activity log column or sub-board1:1 | Fully supported | |
| Product | Items in a Products board1:1 | Fully supported | |
| Segment | Board group or People tag1:1 | Fully supported | |
| Custom Field | Custom columnlossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Attachment | File upload to Items1:1 | 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.
RedEye gotchas
Contact database size limits differ by pricing tier
Campaign journey logic does not export as a portable schema
Reports and dashboards are not exportable
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 contact database audit
We audit the RedEye account for contact record count, custom field schema, campaign list, journey definitions, product catalogue, segment definitions, event log volume, and attachment count. We cross-reference these against the target Monday.com CRM plan's storage limits and seat count. The discovery output is a written migration scope including any records that exceed plan limits, custom field type mapping requirements, and a preliminary journey documentation plan for the Automation Centre rebuild.
Schema design and board structure planning
We design the Monday.com CRM board structure to receive the migrated data. This includes the People board schema (column types for each RedEye contact property), the Organisations board, campaign boards (one per RedEye campaign), a products board, and an events board or event column configuration. We define the column-to-column mapping for every RedEye custom field and confirm the type-mapped equivalent in Monday.com CRM before any data is extracted from RedEye.
Data extraction and transformation
We extract data from RedEye via its export API or structured CSV export. We apply deduplication rules to the contact dataset, normalise tag characters, transform event logs into the target format, and split contact-account relationships into Organisation and People records. Any records that exceed Monday.com CRM plan limits are isolated into a quarantine dataset pending customer decision. We produce a row-count reconciliation report at this stage before any data is written to Monday.com CRM.
Board creation and owner reconciliation
We create the Monday.com CRM boards and configure columns per the schema design. We reconcile RedEye owner records against Monday.com CRM users by email match. Any RedEye owner without a matching Monday.com CRM user goes to a reconciliation queue for the customer's admin to provision. We do not create Monday.com CRM users; that is an admin action. Migration cannot proceed past this step until all required Owner references are resolvable.
Production migration in dependency order
We run the migration in dependency order: Organisations first (to satisfy lookups), then People (with Organisation ID resolved), then Products, then campaign boards (with People items linked), then event log data. Tags and attachments migrate during their respective object phases. Each phase emits a row-count reconciliation report. Journey definitions are documented as a written rule document and delivered alongside the migration, not executed as Monday.com CRM automations.
Cutover, validation, and Automation Centre handoff
We freeze RedEye writes during 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 journey rule document and the automation rebuild guide to the customer's admin team for rebuilding RedEye journeys in Monday.com CRM's Automation Centre. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild RedEye journeys as Monday.com CRM automations inside the migration scope.
Platform deep dives
RedEye
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across RedEye and monday CRM.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
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
RedEye: Not publicly documented.
Data volume sensitivity
RedEye doesn't expose a bulk API — REST + parallelization used for high-volume runs.
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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