CRM migration
Field-level mapping, validation, and rollback between Zymplify and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Zymplify
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 10
objects map 1:1 between Zymplify and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
3-6 weeks
Overview
Zymplify organises data around an intent-first model with Contacts, Companies, Deals, Sales Cadences, and a CDP hub layered over 20-plus intent data sources including Bombora and G2 Buyer Intent. Microsoft Microsoft Dynamics 365 Sales is built around the Lead and Contact split, Opportunity stages tied to Sales Processes and Record Types, and a native Microsoft 365 integration stack. These architectural differences require explicit design choices before any records move. We carry Zymplify intent scores and signal sources as custom fields on Account records because no native Dynamics 365 object stores third-party intent metadata. Sales Cadences migrate as a documented sequence definition for rebuilding in Sales Engagement, which requires a separate Dynamics 365 license tier. We do not migrate Zymplify Workflows or Marketing Automation; these are delivered as a written requirements spec for the customer's admin to rebuild in Power Automate or Dynamics 365 Customer Insights Journeys 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.
Source platform
Zymplify platform overview
Scorecard, SWOT, gotchas, and pricing for Zymplify.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
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 Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Zymplify
Contact
Microsoft Dynamics 365 Sales
Contact or Lead (split required)
1:manyZymplify Contacts are a unified object with enrichment provenance and role data. Dynamics 365 requires a split decision during scoping: prospects with no sales interaction map to Lead; active buyers with open Deals or previous engagement map to Contact attached to an Account. We define the split rule using Zymplify's engagement history and Deal association as the qualifying criteria, then apply it as a transform during import. Original Zymplify contact source and enrichment provenance carry as custom fields on the destination record.
Zymplify
Company
Microsoft Dynamics 365 Sales
Account
1:1Zymplify Company records map directly to Dynamics 365 Account. The Company domain name becomes the Account Website field and is used as the dedupe key during import. All Zymplify intent scores (Bombora signals, G2 Buyer Intent spike data) and the original enrichment source list migrate as custom fields on the Account record. No native Dynamics 365 object stores third-party intent metadata; we treat intent signals as enrichment provenance rather than native CRM data and carry them explicitly as custom Account fields with the source system identifier.
Zymplify
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Zymplify Deals map to Dynamics 365 Opportunity. Deal stage names migrate to a Sales Process configured in Dynamics 365 before migration; we create a Record Type per Zymplify pipeline to scope stage values per business line. Owner assignment resolves via email match to the Dynamics 365 User table. Closed-Lost and Closed-Won deal outcomes carry as custom Opportunity fields if they are present in Zymplify.
Zymplify
Pipeline Stages
Microsoft Dynamics 365 Sales
Sales Process + Stage
lossyEach Zymplify pipeline with its custom stage names maps to a Dynamics 365 Record Type with a corresponding Sales Process that whitelists the relevant stage values. Stage probability percentages migrate to the Sales Process StageProbability field. We configure this schema in a Dynamics 365 Sandbox before production migration begins.
Zymplify
Sales Cadences
Microsoft Dynamics 365 Sales
Sales Engagement Sequences (documentation)
lossyZymplify Sales Cadences are multi-step outreach sequences combining email steps, delays, tasks, and conditional branches. Microsoft Dynamics 365 Sales does not include Sequences in the base Sales Professional or Enterprise tiers; Sequences require the Sales Engagement add-on ($50/user/mo additional). We export the cadence structure as a sequence definition document listing step order, step type, delay duration, recipient criteria, and task actions. The customer's Dynamics admin rebuilds cadences in Sales Engagement or a third-party sales engagement platform post-migration.
Zymplify
Customer Success Hub / Health Scores
Microsoft Dynamics 365 Sales
Custom fields on Account
1:1Zymplify customer health scores and churn risk indicators are Zymplify-native calculations without a direct Dynamics equivalent. We export the raw health signals and composite score as custom fields on the Account record (e.g., zd_health_score__c, zd_churn_risk_tier__c). The scoring model itself does not migrate; we document the calculation logic in a requirements spec so the customer's data team can rebuild an equivalent model in Dynamics 365 or Power BI.
Zymplify
CDP Hub / Data Cleansing Records
Microsoft Dynamics 365 Sales
Custom fields on Contact and Account
1:1Zymplify's CDP hub tracks enrichment status, deduplication decisions, and data provenance across contact and company records. We carry the cleansed contact and account data as standard fields in Dynamics 365 and flag the enrichment source as a custom field (e.g., zd_enrichment_source__c, zd_last_enriched_date__c). Source-of-truth provenance is preserved for audit purposes but enrichment decisions do not translate to native Dynamics objects.
Zymplify
Custom Properties
Microsoft Dynamics 365 Sales
Custom fields
1:1Zymplify custom fields migrate to Dynamics 365 custom fields on the corresponding entity. We discover the full custom field inventory during the discovery phase, map field types (text to Text, number to Number, date to DateTime, checkbox to Two Options), and deploy the custom field schema to a Sandbox before production import. Lookup relationships between Zymplify custom objects require pre-creation of the relationship in Dynamics 365 metadata.
Zymplify
User / Team Member
Microsoft Dynamics 365 Sales
User
1:1Zymplify users map to Dynamics 365 Users resolved by email match. Role-based access information and hub assignments carry as custom fields on the User record (e.g., zd_hub_assignment__c) since Dynamics 365 uses a different permission model (Security Roles and Business Units). Owners without a matching Dynamics User go to a reconciliation queue for admin provisioning before record import.
Zymplify
Tags / Labels
Microsoft Dynamics 365 Sales
Option Set or Text field
lossyZymplify tags applied to Contacts and Companies migrate to a Dynamics 365 text field storing comma-separated values, or to a global Option Set if the tag taxonomy is fixed and under 150 values. We document the full tag taxonomy during discovery and recommend a tagging strategy during scoping; Dynamics 365 native tagging (regarding) is a separate configuration.
| Zymplify | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact or Lead (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stages | Sales Process + Stagelossy | Fully supported | |
| Sales Cadences | Sales Engagement Sequences (documentation)lossy | Mapping required | |
| Customer Success Hub / Health Scores | Custom fields on Account1:1 | Fully supported | |
| CDP Hub / Data Cleansing Records | Custom fields on Contact and Account1:1 | Mapping required | |
| Custom Properties | Custom fields1:1 | Mapping required | |
| User / Team Member | User1:1 | Fully supported | |
| Tags / Labels | Option Set or Text fieldlossy | 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.
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
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Discovery and data export feasibility
We audit the Zymplify portal for record volumes (Contacts, Companies, Deals, Engagements), custom property inventory, active Sales Cadences, active Marketing Workflows, intent signal field usage, and CDP enrichment records. We also assess data export feasibility: Zymplify's API documentation is thin and the platform has few confirmed native integrations, so we test API access, UI export capability, and partner-assisted export during this phase. The discovery output is a written migration scope, a confirmed data export method, and a Zymplify data quality report flagging duplicates, incomplete records, and records that cannot be exported via documented endpoints.
Dynamics 365 schema design
We design the destination Dynamics 365 schema in a Sandbox. This includes creating custom fields on Account for Zymplify intent scores (zd_bombora_score__c, zd_g2_intent_signal__c, zd_last_intent_spike__c), health score fields from the Customer Success Hub, and enrichment provenance fields. We configure Record Types and Sales Processes per Zymplify pipeline, create the Lead-Contact split rule, and deploy the schema via the Dataverse API. We also confirm the Sales Engagement licensing decision before proceeding to import.
Sandbox migration and reconciliation
We run a full migration into a Dynamics 365 Sandbox using production-like data volume. The customer's admin reconciles record counts, spot-checks 25-50 records against the Zymplify source for field-level accuracy, and validates the Lead-Contact split logic. The Sales Process and Record Type configuration is validated by a Dynamics admin user. Any mapping corrections or schema additions are captured and applied before production migration begins.
User provisioning and Owner reconciliation
We extract every distinct Zymplify Owner and map by email to the Dynamics 365 User table. Users without a matching Dynamics User enter a reconciliation queue; the customer's admin provisions any missing Users before record import continues. Owner resolution is a dependency blocker because OwnerId is required on Opportunity, Account, and Contact records.
Production migration in dependency order
We execute production migration in record-dependency sequence: Accounts (from Zymplify Companies with intent score custom fields), Contacts and Leads (with the split rule applied and AccountId resolved), Opportunities (with RecordTypeId, SalesProcessId, and OwnerId resolved), custom field data on all entities, and engagement history. Each phase emits a row-count reconciliation report before the next phase begins. We use Dataverse batch APIs with rate-limit handling and exponential backoff.
Cutover, delta sync, and documentation handoff
We freeze Zymplify writes during cutover, migrate any records modified during the migration window as a final delta, then enable Dynamics 365 as the system of record. We deliver the Sales Cadence inventory document, the Marketing Workflow requirements spec, and the Customer Success health score model documentation to the customer's admin team. We support a one-week hypercare window for reconciliation issues. Workflow rebuild, Sequence rebuild, and Power Automate implementation are outside the migration scope.
Platform deep dives
Zymplify
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
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 Microsoft Dynamics 365 Sales .
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
Pick a category, then your source and destination platforms.
Category
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