CRM migration
Field-level mapping, validation, and rollback between ContactDB and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
ContactDB
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
7 of 8
objects map 1:1 between ContactDB and Microsoft Dynamics 365 Sales .
Complexity
CModerate
Timeline
1-3 weeks
Overview
ContactDB is a purchased B2B contact database, not a live CRM, so this migration is a list-to-CRM data move rather than a system migration. ContactDB exposes no API—all export relies on customer-provided CSV packages. We ingest those packages, split flat contact records into the Contacts and Accounts objects in Dynamics 365, and deduplicate Accounts by company name. Segment membership criteria (industry, title, country, software usage) are not exported as standalone tags, so we reconstruct them as multi-value custom fields on the Contact record. ContactDB stores no engagement history, pipeline stages, or deal records, so those objects do not appear in the migration scope. We apply a pre-import data quality pass that flags records with malformed emails, stale titles, or mismatched company names for customer review before the target import. Workflows, sequences, and automations do not exist in ContactDB and therefore do not migrate. Dynamics 365 subscription cost (typically $65-$150 per user per month for Sales Professional through Sales Premium) remains the customer's recurring licensing expense.
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
ContactDB platform overview
Scorecard, SWOT, gotchas, and pricing for ContactDB.
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 ContactDB 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.
ContactDB
Contact
Microsoft Dynamics 365 Sales
Contact
1:1ContactDB contact records map directly to Dynamics 365 Contact. Name, title, email, phone, and mailing address fields migrate to the standard Contact fields (fullname, jobtitle, emailaddress1, telephone1, address1_line1/2/3/4). The Contact record is created after its parent Account so that the accountid lookup is satisfied at insert time. We apply a pre-import validation pass that flags records with malformed email formats, missing first or last name, or empty phone and email for customer review before the Dynamics import.
ContactDB
Company (firmographic attribute)
Microsoft Dynamics 365 Sales
Account
1:1ContactDB exposes firmographic attributes per contact including company name, size range, industry, and SICCODE. We extract unique company names from all Contact records, deduplicate by normalized company name, and create Account records before Contact import. Dynamics 365 Account fields populated include name, industry (mapped from ContactDB industry), numberofemployees (from size range bucketing), and a custom siccode__c field carrying the raw SICCODE value. The Account is the parent of the Contact so that the accountid lookup is resolved at migration time.
ContactDB
Segment criteria (industry, profession, title, country, software usage)
Microsoft Dynamics 365 Sales
Custom contact fields (multi-select or text)
lossyContactDB segments contacts by industry, profession, title, country, and software-usage criteria, but these segment labels are not exported as standalone tag objects. We reconstruct segment membership as custom fields on the Contact record. During scoping, the customer confirms which segment categories are meaningful post-migration—typically industry__c (picklist), profession__c (text), country__c (text), and software_usage__c (multi-select text). We create these custom fields in Dynamics 365 via the metadata API before any contact import begins.
ContactDB
SICCODE (firmographic attribute)
Microsoft Dynamics 365 Sales
Custom field (siccode__c)
1:1ContactDB provides SICCODE as a firmographic attribute per contact. Microsoft Dynamics 365 Sales does not have a native SICCODE field, so we create a custom text field siccode__c on the Account object and populate it from the ContactDB export. The customer may alternatively use a Dynamics 365 industry classification; the migration maps ContactDB SICCODE to the closest Dynamics 365 industry value where a mapping exists.
ContactDB
Credit rating (firmographic attribute)
Microsoft Dynamics 365 Sales
Custom field (credit_rating__c)
1:1ContactDB includes credit rating as a firmographic signal in its export. We create a custom field credit_rating__c on the Account object and populate it from the ContactDB export. Note that Microsoft Dynamics 365 Sales does not have a native credit rating field; this is a custom enrichment field that the customer's sales or credit team uses for lead scoring or routing.
ContactDB
Activities (calls, emails, meetings, tasks)
Microsoft Dynamics 365 Sales
None
1:1ContactDB is a purchased list database and does not store engagement history, email opens, call logs, or meeting records. No activity data is available to migrate. Dynamics 365 activity objects (Task, EmailMessage, Event) are created from the customer's live outreach tools post-migration, not from ContactDB. We scope activity migration out of the project and document this limitation in the migration scope agreement.
ContactDB
Pipeline Stages
Microsoft Dynamics 365 Sales
None
1:1ContactDB does not implement a pipeline or deal-tracking model. There are no opportunity stages, deal amounts, or sales cycle data to migrate. Dynamics 365 Opportunities are created by the sales team post-migration and do not inherit any pipeline history from ContactDB. We scope pipeline objects out of the migration scope.
ContactDB
Users/Owners
Microsoft Dynamics 365 Sales
None
1:1ContactDB is a data product, not a team CRM. There are no internal user accounts or owner assignments in the export. Dynamics 365 User provisioning is handled by the customer's IT or Dynamics admin outside the migration scope. We flag that every Contact in Dynamics 365 requires an OwnerId at insert time and advise the customer to provision at least one System Administrator or migration-service user with the appropriate Security Role before migration begins.
| ContactDB | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company (firmographic attribute) | Account1:1 | Fully supported | |
| Segment criteria (industry, profession, title, country, software usage) | Custom contact fields (multi-select or text)lossy | Fully supported | |
| SICCODE (firmographic attribute) | Custom field (siccode__c)1:1 | Fully supported | |
| Credit rating (firmographic attribute) | Custom field (credit_rating__c)1:1 | Fully supported | |
| Activities (calls, emails, meetings, tasks) | None1:1 | Fully supported | |
| Pipeline Stages | None1:1 | Not supported | |
| Users/Owners | None1:1 | Not 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.
ContactDB gotchas
No public API requires manual CSV export
No engagement or lifecycle data to migrate
Segment membership is not a first-class object
Data freshness depends on purchase tier
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
CSV package receipt and schema discovery
We receive the ContactDB export package from the customer via a secure file transfer. We profile the CSV structure: column names, row count, null frequency per column, and delimiter type. We identify the contact-level fields (name, title, email, phone, address) and the firmographic fields (company, industry, SICCODE, company size, credit rating) present in the export. We confirm with the customer which segment criteria (industry, profession, title, country, software usage) are meaningful for post-migration segmentation and agree on the custom field names and types to create in Dynamics 365 before any data moves.
Pre-import data validation and cleansing
We run a validation pass against the ContactDB CSV that flags records with malformed email addresses (missing @, no TLD), missing or truncated names, empty email and phone (both blank), and stale title keywords. We also flag contacts whose company name appears fewer than three times in the export (potential one-off entries that may be typos). We deliver a validation report to the customer's RevOps or data team for review and disposition decisions. We do not auto-correct or auto-delete; the customer approves the cleansed set before import begins.
Dynamics 365 custom field and schema setup
We create custom fields in Dynamics 365 on the Contact and Account objects to carry ContactDB data that has no native Dynamics equivalent. This includes siccode__c on Account, credit_rating__c on Account, and the segment reconstruction fields on Contact (industry__c, profession__c, country__c, software_usage__c). We create these via the Dynamics 365 Web API or a temporary Power Platform flow in a Sandbox environment first, validate the field types, and then deploy to the production environment with customer sign-off.
Account deduplication and import
We extract unique company names from all Contact records, normalize them (trim whitespace, remove suffixes like Inc., LLC, Ltd.), and deduplicate by normalized name. Each unique company becomes a Dynamics 365 Account record with name, industry (mapped from ContactDB industry), and any applicable firmographic custom fields. Accounts are imported first so that the accountid lookup is available for every Contact insert. We use the Dynamics 365 Bulk API with chunking and exponential backoff for Accounts over 10,000 records.
Contact import with AccountId resolution
We import Contact records in dependency order: AccountId is resolved by matching the normalized company name from the ContactDB export to the Account.name field in Dynamics 365. Contacts without a matching Account are held in a reconciliation queue for the customer's admin to review and either create the missing Account or reassign the contact to an existing Account. We set the OwnerId to a designated migration service user or the customer's admin user during import; the customer's admin reassigns ownership post-migration.
Cutover, validation report, and handoff
We freeze the source CSV, run a final delta check to catch any records added between the initial export and cutover, and deliver a row-count reconciliation report showing Contacts in Dynamics 365, Accounts in Dynamics 365, and validation flags resolved. We deliver a written inventory of any custom field schema, segment reconstruction logic, and Owner assignment decisions made during migration. We do not configure Dynamics 365 automations, security roles, or Power Platform integrations as part of the migration scope; these are documented in the handoff brief for the customer's Dynamics admin or implementation partner.
Platform deep dives
ContactDB
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 2 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across ContactDB and Microsoft Dynamics 365 Sales .
Object compatibility
2 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
ContactDB: Not applicable — no live API surface..
Data volume sensitivity
ContactDB 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
FAQ
Answers to the questions buyers ask most during ContactDB to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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