CRM migration

Migrate from ContactDB to Microsoft Dynamics 365 Sales

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 logo

ContactDB

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

88%

7 of 8

objects map 1:1 between ContactDB and Microsoft Dynamics 365 Sales .

Complexity

CModerate

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

ContactDB logo

ContactDB

What's pushing teams away

  • Lists become stale quickly as personnel change roles and companies shift; re-purchasing updated lists creates ongoing cost without accumulating owned CRM data.
  • No ownership or tracking of engagement data means teams lose visibility into which contacts responded, creating disconnected feedback loops between outreach and CRM records.
  • Limited post-purchase support and data enrichment options make it difficult to extend or verify contact records beyond the initial purchase fields.
  • Subscription costs scale with list volume and refresh frequency, making it expensive to maintain current data across multiple campaigns and regions simultaneously.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How ContactDB objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

ContactDB 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)

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

ContactDB 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)

maps to

Microsoft Dynamics 365 Sales

Custom contact fields (multi-select or text)

lossy
Fully supported

ContactDB 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)

maps to

Microsoft Dynamics 365 Sales

Custom field (siccode__c)

1:1
Fully supported

ContactDB 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)

maps to

Microsoft Dynamics 365 Sales

Custom field (credit_rating__c)

1:1
Fully supported

ContactDB 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)

maps to

Microsoft Dynamics 365 Sales

None

1:1
Fully supported

ContactDB 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

maps to

Microsoft Dynamics 365 Sales

None

1:1
Not supported

ContactDB 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

maps to

Microsoft Dynamics 365 Sales

None

1:1
Not supported

ContactDB 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.

Gotchas + challenges

What specifically takes care here

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 logo

ContactDB gotchas

High

No public API requires manual CSV export

High

No engagement or lifecycle data to migrate

Medium

Segment membership is not a first-class object

Medium

Data freshness depends on purchase tier

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • ContactDB has no API—CSV export required

    ContactDB does not publish a REST or bulk API for programmatic access. All data export must be performed manually through the customer portal as a CSV or delimited file download. We ingest the full export package directly, but any refresh cycles after initial migration require the customer to repeat the manual download step. Plan for this dependency during scoping: we cannot trigger exports programmatically and are blocked on re-migration if the customer does not deliver updated CSV packages within the agreed data-freeze window.

  • No engagement data exists to migrate

    ContactDB stores flat contact records with firmographic attributes. It does not track email opens, clicks, call outcomes, pipeline stages, or deal history. Any warmth, engagement signal, or sales readiness assessment in the target Dynamics 365 CRM must come from the customer's outreach and sales tools post-migration, not from ContactDB. We explicitly scope migration to contact and account records only and exclude activity objects that do not exist in the source. Customers expecting historical engagement data in Dynamics 365 after migration will not find it.

  • Data staleness requires pre-import validation

    ContactDB's Data Integrity Guarantee depends on the customer's subscription tier. Out-of-date records—person changed company, email bounced, title no longer current—may be present in the export. We apply a pre-import validation pass that flags records with malformed email formats, empty name fields, stale titles (keywords like 'former', 'ex-', 'past'), or company names that do not match the Account deduplication key. Flagged records are held in a customer review queue before the Dynamics 365 import. We do not auto-correct or auto-delete records; the customer decides disposition.

  • Segment membership is not a first-class export object

    ContactDB segments contacts by industry, profession, title, country, and software usage, but these segment labels are not exported as standalone tag records. We reconstruct segment membership as custom fields on the Contact record in Dynamics 365, but this requires the customer to confirm during scoping which segment categories are meaningful post-migration and to approve the custom field schema before we create it in the destination org. Migrations that skip this step result in contacts that arrived in Dynamics 365 without any segmentation metadata.

Migration approach

Six steps for a successful ContactDB to Microsoft Dynamics 365 Sales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

ContactDB logo

ContactDB

Source

Strengths

  • Massive B2B contact database spanning 30M+ records with global country coverage.
  • Multiple segmentation axes: industry, profession, title, country, and business software usage.
  • Data Integrity Guarantee policy promises accuracy and updated records for campaign reliability.
  • Firmographic data includes SICCODE, company size, and credit rating for B2B targeting precision.

Weaknesses

  • No documented API for programmatic data export or integration with CRM platforms.
  • No engagement or activity data—purchased contacts carry no behavioral history.
  • List-based product model means data ownership remains with the vendor, not the buying team.
  • Limited ability to extend contact records with custom fields or internal annotations.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Moderate CRM migration. 2 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across ContactDB and Microsoft Dynamics 365 Sales .

  • Object compatibility

    C

    2 of 8 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    ContactDB: Not applicable — no live API surface..

  • Data volume sensitivity

    B

    ContactDB doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your ContactDB to Microsoft Dynamics 365 Sales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about ContactDB to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during ContactDB to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between one and three weeks for accounts under 10,000 Contacts with clean CSV packages and no extensive data quality remediation. Migrations with large volumes (50,000+ records), overlapping list segments requiring deduplication, or extensive pre-import validation pass-and-review cycles move to three to six weeks. The scope does not include Dynamics 365 configuration, security role setup, or Power Platform integration—these extend the overall implementation timeline but fall outside the data migration fee.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ContactDB.
Land in Microsoft Dynamics 365 Sales , intact.

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