CRM migration
Field-level mapping, validation, and rollback between Zymplify and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Zymplify
Source
monday CRM
Destination
Compatibility
4 of 10
objects map 1:1 between Zymplify and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Zymplify to Monday.com CRM is a structural migration from an intent-activation GTM platform to a board-based CRM built on a Work OS. Zymplify organises data around intent-spiked Companies, Sales Cadences, and a CDP hub; Monday.com CRM represents the same data as CRM Entities (Contacts, Companies, Deals) housed inside boards with status columns. We extract intent signal provenance (Bombora scores, G2 Buyer Intent flags) as custom fields on the destination Account entity, and we treat Zymplify Sales Cadences and Marketing Workflows as reference material for rebuilding rather than migratable objects. Monday.com's undocumented bulk export API means extraction relies on Zymplify's API with manual field discovery during the discovery phase. We do not migrate Workflows, Sequences, or Automations as code; we deliver a written requirements spec for rebuilding them in Monday.com's automation builder.
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 Zymplify 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.
Zymplify
Contact
monday CRM
Person Entity
1:1Zymplify Contact records (name, email, phone, role, company association) map to Monday.com CRM Person entities. Enrichment provenance from the CDP hub and intent data sources transfers as custom fields on the Person entity since Monday.com CRM supports custom fields on all entity types. Email match is used as the dedupe key during import.
Zymplify
Company
monday CRM
Organization Entity
1:1Zymplify Company records map to Monday.com CRM Organization entities. The intent signal metadata (Bombora score, G2 Buyer Intent flag, intent spike timestamp) attaches as custom fields on the Organization entity. Zymplify's intent scores are preserved as numeric or text custom fields rather than native scoring since Monday.com CRM does not have an equivalent intent-surfacing feature. Account is created before any Person import so the relationship is satisfied at insert time.
Zymplify
Deal / Pipeline Stage
monday CRM
Deal Entity + Board
1:1Zymplify Deals map to Monday.com CRM Deal entities with pipeline stages represented as board status columns. We map Zymplify deal stages 1:1 to Monday.com Deal status values, preserving custom stage names. The Deal entity links to the associated Person (contact) and Organization (company) entities in Monday.com CRM.
Zymplify
Sales Cadence
monday CRM
Sequence Document (reference only)
lossyZymplify Sales Cadences (email steps, delays, task actions) are Zymplify-native outreach sequences with no direct Monday.com CRM equivalent. Monday.com CRM has no native sales engagement cadence feature. We export cadence structure as a sequence definition document covering step order, action type, delay rules, and task assignments, and the customer's admin rebuilds using Monday.com's automation recipes or a dedicated sales engagement tool.
Zymplify
Marketing Workflow
monday CRM
Automation Document (reference only)
lossyZymplify Marketing Workflows (triggers, conditions, actions) do not migrate as automation code. Monday.com's recipe-based automation builder uses a different trigger-action model. We document the workflow logic — triggers, branch conditions, action sequences, and intended outcomes — in a requirements spec that the customer's admin uses to rebuild in Monday.com's automation layer.
Zymplify
Customer Success Hub / Churn Forecast
monday CRM
Organization Custom Fields
lossyZymplify's health scores and churn risk indicators are Zymplify-native calculations. We export the raw health metrics (component scores, risk indicators, last-seen timestamps) as custom fields on the Organization entity. The scoring model itself does not migrate; it requires reconstruction in Monday.com using custom formulas or a separate reporting layer.
Zymplify
CDP Hub / Data Cleansing Records
monday CRM
Person + Organization Custom Fields
lossyZymplify's CDP hub stores contact enrichment provenance, deduplication decisions, and list management records. We carry the cleansed contact data to Monday.com CRM Person entities and flag enrichment source as a custom field (e.g., enrichment_provider__c) since source-of-truth provenance has no native equivalent in Monday.com CRM. Data cleansing decisions (merged records, suppressed records) are preserved as notes on the Person entity.
Zymplify
Custom Properties
monday CRM
Custom Fields
lossyZymplify custom fields are supported across all object types but the export schema is not publicly documented. We discover the full custom field inventory during the discovery phase by querying the Zymplify API, then map each field to a Monday.com CRM custom field of equivalent type (text, number, date, dropdown, checkbox). Field-level transformation rules are documented in the mapping spec.
Zymplify
User / Team Member
monday CRM
User
1:1Zymplify user records (role, hub assignment, ownership) map to Monday.com CRM users. We resolve Zymplify owners by email match against the destination Monday.com workspace. Users without a matching account go to a reconciliation queue for the customer to provision before record import resumes.
Zymplify
Tag / Label
monday CRM
Tag or Custom Field
lossyZymplify tags applied to Contacts and Companies are Zymplify-native. We export tags as a comma-separated custom field on the Person or Organization entity. The customer chooses during scoping whether to rebuild tagging taxonomy using Monday.com CRM's native tag feature or maintain the field-based approach. This is a configuration decision, not a direct data migration.
| Zymplify | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | Person Entity1:1 | Fully supported | |
| Company | Organization Entity1:1 | Fully supported | |
| Deal / Pipeline Stage | Deal Entity + Board1:1 | Fully supported | |
| Sales Cadence | Sequence Document (reference only)lossy | Fully supported | |
| Marketing Workflow | Automation Document (reference only)lossy | Fully supported | |
| Customer Success Hub / Churn Forecast | Organization Custom Fieldslossy | Mapping required | |
| CDP Hub / Data Cleansing Records | Person + Organization Custom Fieldslossy | Mapping required | |
| Custom Properties | Custom Fieldslossy | Mapping required | |
| User / Team Member | User1:1 | Fully supported | |
| Tag / Label | Tag or Custom Fieldlossy | 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.
Zymplify gotchas
No public pricing page — actual costs vary by directory
Intent data and workflows are Zymplify-native with no direct export
7-day free trial is insufficient to evaluate the platform
Integration ecosystem is thin and poorly documented
Vendor lock-in compounds migration complexity
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 field audit
We conduct a field-level audit of the Zymplify instance by probing the API for all object types (Contact, Company, Deal, Engagement, custom properties, tags, user records). We produce a written field inventory covering every Zymplify field, its data type, and whether it has a Monday.com CRM equivalent. We also inventory active Sales Cadences and Marketing Workflows for the requirements spec. This phase establishes the extraction schema and identifies any fields that require transformation or will become custom fields in Monday.com CRM.
Monday.com CRM board design and entity schema
We design the Monday.com CRM target schema: CRM entities (Person, Organization, Deal), board structures for pipeline and deal status, custom fields for intent metadata and enrichment provenance, and tag taxonomy. We treat the migration as a redesign opportunity rather than a flat record copy. Board design happens in a Monday.com CRM sandbox workspace before any production data moves.
Data extraction, cleansing, and deduplication
We extract data from Zymplify in dependency order: Organizations first (as the parent of Deals), then People, then Deals, then engagement history. We run deduplication on Person records using email as the primary key and on Organization records using domain. CDP hub cleansing decisions from Zymplify are respected: suppressed and merged records are flagged rather than imported as active. Any records with missing required fields are held in a correction queue for the customer to resolve.
Intent metadata and enrichment provenance mapping
We extract intent signal metadata (Bombora scores, G2 Buyer Intent flags, signal sources, spike timestamps) from Zymplify Company records and map them to custom fields on the Organization entity in Monday.com CRM. Enrichment provenance from the CDP hub (data source, last-enriched date, enrichment confidence) maps to separate custom fields. We document the original intent score scale and any threshold rules so the customer can configure alerts or filters in Monday.com CRM's board views.
Production migration in dependency order
We run production migration in record-dependency order: Organizations (from Companies), People (from Contacts, with OrganizationId resolved), Deals (with Person and Organization lookups resolved), then engagement history (calls, emails, meetings, tasks as Activity records). Each phase emits a row-count reconciliation report before the next phase begins. We use Monday.com CRM's API with rate-limit handling and batch chunking throughout.
Cutover, validation, and workflow handoff
We freeze Zymplify 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 Sales Cadence sequence definition document and the Marketing Workflow requirements spec to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Zymplify workflows as Monday.com automation recipes inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Zymplify
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Zymplify and monday CRM.
Object compatibility
1 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
Zymplify: Not publicly documented.
Data volume sensitivity
Zymplify 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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