CRM migration

Migrate from GENIEE to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between GENIEE and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

GENIEE logo

GENIEE

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

60%

6 of 10

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

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from GENIEE to Microsoft Microsoft Dynamics 365 Sales is a structural migration for teams that have outgrown GENIEE SFA/CRM or are consolidating onto a globally supported platform. GENIEE operates two distinct subsystems — its SFA/CRM for contact and pipeline data, and its DSP/SSP for advertising — with no unified export API and predominantly Japanese-language field labels. We handle both export streams as separate datasets, resolve Japanese field labels to typed Dynamics 365 fields during scoping, and treat DSP campaign metadata (budget, targeting parameters, flight dates) as custom objects in Dynamics 365 since no standard CRM object maps directly. Microsoft Dynamics 365 Sales sits within the Microsoft 365 ecosystem, native to Outlook, Teams, and SharePoint, which shapes the post-migration experience in ways that GENIEE's AdTech-centric model does not support. We do not migrate workflows, automations, or DSP optimization rules as code; we deliver a written inventory for the customer's admin to rebuild in Dynamics 365.

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

GENIEE logo

GENIEE

What's pushing teams away

  • Heavy Japan focus — UI, support, documentation, and partner ecosystem are Japanese-first, so multinational teams outside Japan find it hard to operate without local support.
  • Smaller third-party integration ecosystem versus Salesforce, HubSpot, or Zoho — non-Japanese SaaS tools rarely have prebuilt connectors, so connections must be built through GENIEE's API or iPaaS.
  • Sales-led pricing and limited global price transparency make budget comparison difficult for buyers benchmarking against globally-listed CRMs.
  • Phase-based negotiation model and Japanese hearing-item conventions, while a strength domestically, are a poor fit for teams used to forecasting around US-style probability-weighted pipeline.
  • Reporting and analytics, while sufficient for the domestic Japanese market, are narrower than the BI layers of larger SFAs once teams want cross-region or product-line dashboards.

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 GENIEE objects map to Microsoft Dynamics 365 Sales

Each row shows how a GENIEE 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.

GENIEE

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

GENIEE SFA/CRM Contacts map directly to Microsoft Dynamics 365 Contact. Field naming conventions are documented in Japanese; we use machine-assisted translation and Japanese-speaking data engineers to discover the full field inventory during scoping. Email, phone, name, and owner fields migrate cleanly. Tenant-specific custom properties on Contact are mapped to typed Dynamics 365 fields (text, picklist, number) or custom fields during schema design. Owner assignment is resolved by email match against Dynamics 365 User records.

GENIEE

Company/Account

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

GENIEE Companies map to Dynamics 365 Account. Regional location data uses Japanese administrative district conventions; we normalize these to standard address formats during transform. Account hierarchy (parent-subsidiary relationships) migrates where present. Website and industry classification fields map from GENIEE Company properties to Account fields.

GENIEE

Deal/Pipeline

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

GENIEE Pipeline Opportunities map to Dynamics 365 Opportunity. Stage names, win/loss probability percentages, and pipeline stage history are preserved as a full stage-traversal audit trail. We map GENIEE pipeline stages to Dynamics 365 Opportunity Sales Process stages, creating a Sales Process per GENIEE pipeline where multiple pipelines exist. Closed-Lost and Closed-Won reasons migrate as custom fields if configured in the GENIEE tenant.

GENIEE

Campaign

maps to

Microsoft Dynamics 365 Sales

Campaign

1:1
Fully supported

GENIEE Marketing Automation Campaigns map to Dynamics 365 Campaign. Campaign attribution data (UTM parameters, source, medium) stored per Contact is preserved as campaign member custom fields or campaign custom attributes in Dynamics 365. Note that Dynamics 365 Marketing (the separate marketing module) is not required for campaign record migration; Campaign and CampaignMember objects are standard in Sales.

GENIEE

DSP Campaign Metadata

maps to

Microsoft Dynamics 365 Sales

Custom Entity (DSP_Campaign)

lossy
Fully supported

GENIEE DSP campaigns (budget, targeting parameters, ad formats, flight dates) do not map to any standard Dynamics 365 object. We export DSP campaign metadata as a custom entity DSP_Campaign in Dataverse, with fields for budget_amount, targeting_criteria, ad_format, flight_start_date, flight_end_date, and campaign_status. This is SSP/DSP-specific and documented as non-standard CRM data requiring custom entity schema creation before migration.

GENIEE

Publisher Inventory/Ad Slots

maps to

Microsoft Dynamics 365 Sales

Custom Entity (Publisher_Inventory)

lossy
Mapping required

GENIEE SSP publisher inventory data (slot IDs, floor prices, device classification: telco/mobile/desktop) does not map to standard CRM objects. We export this as a custom entity Publisher_Inventory in Dataverse. Organizations that require this data post-migration should confirm during scoping whether Dynamics 365 is the appropriate home or whether a separate data warehouse is more suitable.

GENIEE

User/Owner

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

GENIEE SFA/CRM Users assign as record owners. User records (email, name, role) are standard and migrate cleanly by email match against the Dynamics 365 destination User table. Any GENIEE Owner without a matching Dynamics 365 User is held in a reconciliation queue for the customer's admin to provision before record import resumes.

GENIEE

Attachment

maps to

Microsoft Dynamics 365 Sales

Annotation / SharePoint

1:1
Fully supported

Attachments on Contacts, Accounts, and Deals migrate as Dynamics 365 Annotations (notes with file attachments) linked to the parent record. If the organization has enabled SharePoint integration in Dynamics 365, we migrate attachments to SharePoint document libraries and link via ContentDocumentLocation. File size and type limits are validated against Dynamics 365 attachment constraints.

GENIEE

Custom Properties

maps to

Microsoft Dynamics 365 Sales

Custom Fields

lossy
Mapping required

GENIEE SFA/CRM custom fields on Contacts and Accounts are discovered during scoping using Japanese-language field label translation. We generate a field map with type conversion (Japanese date formats to UTC, regional codes to standard picklists, multi-value fields to Dynamics 365 multi-select picklists). The full custom property list is validated in a sandbox migration before production.

GENIEE

Tag/Label

maps to

Microsoft Dynamics 365 Sales

Custom Field (multi-select) or Topic

lossy
Fully supported

GENIEE Contact and Company tags are tenant-defined label vocabularies. We export tags as label arrays and map them to Dynamics 365 custom multi-select picklist fields on the Contact or Account. The customer chooses between a flat multi-select field or Dynamics 365 Topics with TopicAssignment records during scoping.

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.

GENIEE logo

GENIEE gotchas

High

No documented public API for programmatic exports

Medium

Dual-product architecture requires separate export workflows

Medium

Japanese-language interface and documentation

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

  • No public API requires support-coordinated export

    GENIEE does not publish a public REST API or developer documentation for programmatic data exports. All export paths are manual or require direct engagement with GENIEE account management to generate data dumps on the customer's behalf. We coordinate with the GENIEE team to authorize a data export, which adds lead time of two to four weeks compared to platforms with open APIs. Screen-scraping of export interfaces is attempted where accessible but is not a reliable primary path and depends on the tenant's UI configuration.

  • Dual-subsystem export sequencing

    GENIEE operates distinct SFA/CRM and DSP/SSP subsystems with no unified export that spans both. Campaign performance metrics from the DSP do not share schema conventions with CRM records. We sequence two separate export workflows and handle them as distinct datasets with separate mapping configurations. DSP bid logs and impression data are SSP-specific and require a different transform pipeline than CRM contact records. Organizations must confirm with GENIEE which subsystems they actively use before scoping.

  • Japanese-language field discovery extends scoping

    GENIEE field labels, UI text, and documentation are predominantly in Japanese. English-language resources are sparse. We engage Japanese-speaking data engineers during scoping and use machine-assisted translation for field label discovery. This extends the scoping phase by one to two weeks compared to English-first platforms. The customer must provide access to a live GENIEE environment or a Japanese-language data dictionary for complete field inventory discovery.

  • DSP campaign metadata has no standard CRM target

    GENIEE DSP campaigns (budget, targeting, flight dates, ad formats) do not map to any standard Microsoft Dynamics 365 object. We export this as custom entities in Dataverse, but the customer should confirm during scoping whether Dynamics 365 is the intended home for advertising performance data or whether a separate analytics platform is more appropriate. SSP publisher inventory data (floor prices, slot IDs) is similarly SSP-specific and may not belong in a CRM migration scope.

  • Dynamics 365 validation rules can block first-pass import

    Dynamics 365 orgs commonly enforce required field formats, conditional requireds, and picklist whitelists that can cause record rejection on first import. We coordinate with the customer's Dynamics 365 admin to grant the migration user the necessary Dataverse privilege set and to either disable blocking validation rules during load or extend them with a migration-context bypass. GENIEE data with non-standard date formats (Japanese era-based dates) must be converted to Gregorian UTC format before import.

Migration approach

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

  1. Discovery and GENIEE export authorization

    We audit the GENIEE SFA/CRM tenant for Contacts, Accounts, Deals, Campaigns, custom properties, and owner assignments. Separately, we assess DSP/SSP usage to confirm whether campaign metadata migration is in scope. Because GENIEE has no public API, we file an export authorization request with GENIEE account management in parallel with scoping. This step produces a written data inventory, a preliminary field map with Japanese-language label translations, and an export authorization timeline. We typically see a two-to-four-week lead time for GENIEE to generate and deliver the data dump.

  2. Schema design in Dynamics 365

    We design the destination schema in Microsoft Dataverse. This includes provisioning custom entities for DSP campaign metadata and publisher inventory (if in scope), custom fields for GENIEE tenant-specific properties, Microsoft Dynamics 365 Sales Processes per GENIEE pipeline, and a mapping matrix that pairs each GENIEE field label (translated from Japanese) with a typed Dynamics 365 field. Schema is validated in a Dynamics 365 sandbox before any production data loads. Field type conversions include Japanese date formats to UTC, regional codes to standard picklists, and multi-value tag arrays to multi-select picklists.

  3. Sandbox migration and reconciliation

    We run a full migration into a Dynamics 365 sandbox environment using the GENIEE data dump. The customer's Dynamics 365 admin and RevOps lead reconcile record counts (Contacts in, Accounts in, Opportunities in, Campaign records in, DSP custom entity records in), spot-check twenty to fifty records against the GENIEE source for field-level accuracy, and validate that Japanese-language field labels translated correctly. Mapping corrections are made in the sandbox before any production migration begins.

  4. Owner reconciliation and User provisioning

    We extract every distinct GENIEE Owner referenced on Contact, Account, Deal, and Engagement records and match by email against the Dynamics 365 destination org's User table. Any GENIEE Owner without a matching Dynamics 365 User is flagged in a reconciliation queue. The customer's Dynamics 365 admin provisions missing Users (active or inactive depending on whether the original owner is still employed). Migration cannot proceed past this step because OwnerId references are required on most standard entities.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from GENIEE Companies), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and Sales Process resolved), Campaigns (with CampaignMember attribution), Activity history (Tasks, Notes, Emails via Dataverse Bulk API), DSP_Campaign custom entity (campaign metadata), and Publisher_Inventory custom entity (SSP inventory data, last due to its non-standard nature). Each phase emits a row-count reconciliation report before the next phase begins. Japanese-era date values are converted to Gregorian UTC at transform.

  6. Cutover, validation, and handoff

    We freeze GENIEE writes during cutover, run a final delta migration of any records modified during the migration window, then enable Dynamics 365 as the system of record. We deliver a written inventory of GENIEE automations and workflows (if any are identified) for the customer's admin to rebuild in Dynamics 365. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's sales team. We do not rebuild GENIEE automations or sequences inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

GENIEE logo

GENIEE

Source

Strengths

  • No. 1 SSP market share in Japan for six consecutive years with over 5,000 Asia publishers in the network
  • Proprietary in-house developed advertising distribution platform processing hundreds of thousands of bids per second
  • Full ad stack combining SSP, DSP, SFA/CRM, and MA under one group
  • Tokyo Stock Exchange listed since 2017 with publicly documented financials
  • Integration ecosystem with Google AdSense, DoubleClick Ad Exchange, DV360, Facebook, Instagram, TikTok, and LinkedIn

Weaknesses

  • No publicly documented REST API or developer portal for automated data exports
  • Japanese-language documentation creates a barrier for international teams evaluating migration
  • AdTech SSP/DSP data model is fundamentally different from standard CRM, requiring custom object mapping
  • GENIEE SFA/CRM is a secondary product line; the core business is programmatic advertising infrastructure
  • Limited English-language public information makes independent technical due diligence difficult
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?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • 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

    GENIEE: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your GENIEE 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 GENIEE to Microsoft Dynamics 365 Sales data migrations

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

Can't find your answer?

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Most migrations land between five and eight weeks for accounts under 20,000 Contacts, 5,000 Deals, and no DSP campaign metadata in scope. The primary timeline variable is GENIEE's export authorization process, which typically takes two to four weeks to arrange through account management. Migrations that include DSP campaign metadata as custom entities, large custom property sets, or multi-stage pipeline histories with full stage history move to twelve to twenty weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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

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