CRM migration

Migrate from GENIEE to Salesforce Sales Cloud

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

GENIEE logo

GENIEE

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

43%

6 of 14

objects map 1:1 between GENIEE and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

GENIEE is primarily an AdTech SSP and DSP company with a secondary SFA/CRM product line, which means the migration to Salesforce is structurally split across two different data domains. The SFA/CRM side (Contacts, Accounts, Deals, pipeline stages, and user ownership) maps to standard Salesforce objects with direct equivalents. The DSP/SSP side (campaign budgets, targeting parameters, bid logs, publisher inventory, and floor-price configurations) has no standard Salesforce schema, so we export this as a set of custom objects and flag it as requiring post-migration admin review for any integration the customer wants to wire into a BI or data warehouse tool. The defining constraint is that GENIEE does not publish a public REST API or developer documentation for automated exports; all data extraction requires coordination with GENIEE account management and Japanese-language field labels throughout the scoping phase. We do not migrate workflows or marketing automation sequences from GENIEE MA; we deliver a written inventory of every active automation requiring rebuild in Salesforce Flow.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How GENIEE objects map to Salesforce Sales Cloud

Each row shows how a GENIEE object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

GENIEE SFA/CRM Contacts map to either Salesforce Lead or Contact based on the customer's qualification status definition. Unqualified prospects with no associated Account or open Deal map to Salesforce Lead. Qualified buyers attached to an Account map to Salesforce Contact. We inspect the SFA/CRM contact's deal association, lead score, and lifecycle stage during the scoping discovery to define the split rule for this customer specifically. The original GENIEE contact ID and any Japanese field labels are preserved in custom fields for audit and reconciliation.

GENIEE

Company (Account)

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

GENIEE SFA/CRM Company records map directly to Salesforce Account. The Account is the parent record for Contact migration, so we create all Accounts first in dependency order. Japanese regional conventions for address fields (prefecture, city, building) map to standard Salesforce address compound fields with the original Japanese text preserved in a custom field for verification.

GENIEE

Deal (Opportunity)

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

GENIEE SFA/CRM Deals map to Salesforce Opportunity. Each GENIEE pipeline becomes a Salesforce Record Type with a corresponding Sales Process that whitelists the tenant-specific stage values. Stage probability percentages migrate from GENIEE to Salesforce StageProbability. Closed-Won and Closed-Loss reasons from GENIEE custom fields map to Loss Reason and custom Win Reason fields.

GENIEE

Pipeline Stage

maps to

Salesforce Sales Cloud

Opportunity Stage + Sales Process

lossy
Fully supported

GENIEE pipeline stages are tenant-defined and vary by customer configuration. We discover the full stage list during scoping, map each to a Salesforce StageName value, and configure a corresponding Sales Process in Salesforce that restricts the stage picklist to only those values relevant to each Record Type. Stage order and probability percentages are preserved as entered in GENIEE.

GENIEE

User (Owner)

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

GENIEE SFA/CRM User records (owner assignments on Contacts, Accounts, and Deals) map to Salesforce User records matched by email address. Role-based access and team hierarchy from GENIEE are documented for the customer's Salesforce admin to reconfigure as Profiles, Permission Sets, and Role Hierarchy post-migration. We flag any GENIEE Owner without a matching Salesforce User for admin provisioning before production migration.

GENIEE

Campaign (GENIEE MA)

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

GENIEE MA Campaigns map to Salesforce Campaign. UTM parameters (utm_source, utm_medium, utm_campaign, utm_content) stored per contact are preserved as custom fields on CampaignMember for attribution analysis. Campaign start and end dates, budget, and status migrate directly. GENIEE MA campaign-to-contact associations map to CampaignMember records.

GENIEE

DSP Campaign

maps to

Salesforce Sales Cloud

Custom Object: DSP_Campaign__c

lossy
Fully supported

GENIEE DSP campaign metadata (budget, targeting parameters, ad formats, flight dates, network placements, and KPI optimization settings) has no standard Salesforce equivalent. We export this as a custom object DSP_Campaign__c with fields for campaign_name, start_date, end_date, daily_budget, targeting_geography, targeting_device, ad_format, network, and kpi_goal. DSP campaign performance metrics (impressions, clicks, CTR, spend) are exported as a separate DSP_Performance__c custom object linked to DSP_Campaign__c via lookup.

GENIEE

SSP Publisher Inventory

maps to

Salesforce Sales Cloud

Custom Object: SSP_Inventory__c

lossy
Fully supported

GENIEE SSP publisher inventory data (slot IDs, floor prices, telco/mobile/desktop classification, ad format availability, and geographic placement) is SSP-specific and does not map to standard CRM objects. We export this as a custom object SSP_Inventory__c with fields for publisher_name, slot_id, ad_format, device_targeting, floor_price_cpc, and inventory_status. This custom object is primarily useful for operations teams migrating to a new ad operations tool; Salesforce reporting on SSP data is limited and customers typically integrate this data into a separate BI platform via MuleSoft.

GENIEE

Bid Log / Performance Metrics

maps to

Salesforce Sales Cloud

Custom Object: DSP_Bid_Log__c

lossy
Fully supported

GENIEE DSP bid logs contain per-impression bid decisions, winning bid amounts, and outcome (won/lost). These are high-volume event records that do not belong in a standard CRM. We export bid log summaries (daily or campaign-level aggregates) as a custom object DSP_Bid_Log__c for historical record. Full granular bid logs are exported as a CSV artifact for loading into the customer's data warehouse or analytics environment, not into Salesforce.

GENIEE

Attachment

maps to

Salesforce Sales Cloud

ContentVersion + ContentDocumentLink

1:1
Fully supported

File attachments on GENIEE SFA/CRM Contacts, Accounts, and Deals are exported as binary blobs and re-uploaded to Salesforce as ContentVersion records. ContentDocumentLink records are created to attach each file to its parent record (Contact, Account, or Opportunity) in Salesforce. Original file names, MIME types, and upload timestamps are preserved in ContentVersion fields.

GENIEE

Custom Property (Contact)

maps to

Salesforce Sales Cloud

Custom Field (Contact/Lead)

lossy
Fully supported

GENIEE SFA/CRM custom fields on Contact records vary by tenant. We discover the full custom property list during scoping, generate a field map that specifies the target Salesforce field API name and data type for each, handle type conversion (Japanese date formats to ISO 8601, picklist text to picklist values, free-text to textarea), and pre-create all custom fields on the Lead or Contact object before migration. Field-level permissions are set to Read-Write for the migration user and adjustable post-migration.

GENIEE

Custom Property (Account)

maps to

Salesforce Sales Cloud

Custom Field (Account)

lossy
Fully supported

GENIEE SFA/CRM custom fields on Account records migrate to Salesforce custom fields on Account. Department and location data using Japanese regional conventions map to the standard Salesforce address compound field where applicable or to custom text fields where the data does not conform to standard address field structure. Custom picklist values are migrated as Salesforce picklist values with the original Japanese label preserved in a description field for admin reference.

GENIEE

Tag / Label (Contact)

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Topic

lossy
Fully supported

GENIEE SFA/CRM tags on Contacts and Companies use a tenant-defined vocabulary. Tags stored as label arrays are exported and mapped to Salesforce multi-select picklist fields on Contact or Account. Alternatively, the customer may choose to map tags to Salesforce Topics with TopicAssignment records if they plan to use Content Delivery and Experience Cloud features. The choice is made during scoping based on the customer's intended use of tag data in Salesforce.

GENIEE

Engagement: Task / Note

maps to

Salesforce Sales Cloud

Task + Note

1:1
Fully supported

GENIEE SFA/CRM engagement history (calls, emails, meetings, tasks, and notes) is stored in the engagement subsystem and must be extracted as a separate export from the contact and account records. We map task engagements to Salesforce Task with Status, Priority, and ActivityDate preserved. Note engagements map to Salesforce Note linked via ContentDocumentLink to the parent Contact, Account, or Opportunity. Activity timeline ordering is preserved by setting ActivityDate to the original GENIEE timestamp.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • GENIEE has no public API for automated data extraction

    GENIEE does not publish a public REST API, GraphQL endpoint, or developer documentation for automated data exports. All export paths require direct engagement with GENIEE account management. We work around this by coordinating with the GENIEE team to generate data dumps on the customer's behalf, using screen-scraping of export interfaces where accessible, and by building one-time extraction scripts against whatever export format GENIEE can produce. This adds 2-4 weeks of lead time to the migration and requires explicit written authorization from the customer's GENIEE account management contact. The customer must be willing to engage GENIEE support as a prerequisite for migration.

  • Japanese-language field labels extend scoping by 1-2 weeks

    GENIEE SFA/CRM field labels, UI text, and internal documentation are predominantly in Japanese. English-language equivalents are sparse or absent. We engage Japanese-speaking data engineers during the scoping phase to map Japanese field labels to their semantic meaning, cross-reference with any available English-field-alias documentation, and generate an English-language field inventory for the customer's admin. This scoping overhead extends the project timeline by one to two weeks compared to English-first platforms and adds cost for Japanese-language data engineering support.

  • DSP/SSP data has no standard CRM schema and requires custom objects

    GENIEE DSP campaigns and SSP publisher inventory use an AdTech-specific data model that does not map to any standard Salesforce object. DSP campaign metadata (budgets, targeting, flight dates, KPI goals) can be stored in custom objects, but Salesforce's native reporting is not designed for advertising performance analytics. We export DSP data as custom objects for record preservation and provide a written recommendation for integrating this data into a BI platform (Tableau, Power BI, or the customer's existing data warehouse) via MuleSoft or a custom API integration post-migration.

  • SFA/CRM and DSP/SSP are separate subsystems requiring two export workflows

    GENIEE operates distinct subsystems: the SFA/CRM for contact, account, deal, and engagement data, and the DSP/SSP for advertising campaign and inventory data. There is no unified export that spans both. We run two separate export workflows and treat them as distinct data sets with separate mapping configurations. Engagement history (calls, emails, meetings) stored in the GENIEE MA engagement subsystem must be extracted as a third data set, adding to the export complexity. The customer must coordinate with GENIEE account management separately for each export type.

  • GENIEE MA workflows and marketing sequences do not migrate to Salesforce Flow

    GENIEE MA manages marketing automation workflows and lead scoring models that are tied to the GENIEE MA platform. These do not have direct equivalents in Salesforce Sales Cloud. We do not migrate workflows or sequences as code. We deliver a written inventory of every active GENIEE MA workflow with its trigger conditions, actions, and a recommended Salesforce Flow equivalent, plus a separate document covering Salesforce Marketing Cloud Account Engagement (Pardot) as a replacement for GENIEE MA if the customer wants to consolidate marketing automation in the Salesforce ecosystem. The customer's admin or a Salesforce partner rebuilds the automations post-migration.

Migration approach

Six steps for a successful GENIEE to Salesforce Sales Cloud data migration

  1. Discovery and GENIEE account management engagement

    We audit GENIEE SFA/CRM across all data domains: Contacts, Accounts, Deals, pipeline stages, user ownership, custom properties, attachments, tags, and engagement history. We simultaneously assess the DSP/SSP data scope (campaign metadata, publisher inventory, bid log volume) and determine which data domains the customer wants to migrate. We then initiate the GENIEE account management engagement to request data exports, providing the customer with a template email and data requirements document that specifies the export format, field list, and date ranges needed. This step takes 2-4 weeks because GENIEE account management must respond and generate the export files.

  2. Japanese-language field discovery and schema design

    Our Japanese-speaking data engineers map every GENIEE field label to its semantic meaning in English, generate a field-level inventory document, and identify data type mismatches (Japanese date formats, regional address conventions, picklist values in Japanese). We design the Salesforce destination schema: custom objects for DSP data, custom fields on standard objects, Record Types and Sales Processes for pipeline stages, and the Lead-Contact split rule based on the customer's qualification criteria. Schema is deployed to a Salesforce Sandbox first for validation.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using the GENIEE export data. The customer's RevOps lead reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 records against the GENIEE source data, and validates the Lead-Contact split logic. Japanese-language field values are verified for correct character encoding (UTF-8 throughout). The customer signs off on the schema and mapping before production migration begins.

  4. Owner reconciliation and User provisioning

    We extract every distinct GENIEE Owner referenced on Contact, Account, and Deal records and match by email against the Salesforce destination org's User table. Any GENIEE Owner without a matching Salesforce User is added to a reconciliation queue. The customer's Salesforce admin provisions missing Users and confirms Role and Profile assignments. This step gates the production migration because OwnerId references are required on standard objects.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from GENIEE Companies), Leads and Contacts (with AccountId resolved and Lifecycle Stage split applied), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Tasks, Notes via Bulk API 2.0), DSP custom objects (DSP_Campaign__c, DSP_Performance__c, DSP_Bid_Log__c), SSP custom objects (SSP_Inventory__c), Attachments (ContentVersion and ContentDocumentLink), and custom fields for tags and custom properties. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze GENIEE write access during cutover (or work with GENIEE account management to export a final delta), run a delta migration of any records modified during the window, then enable Salesforce as the system of record. We deliver the GENIEE MA workflow and sequence inventory document to the customer's admin team with Salesforce Flow equivalents recommended. We support a one-week hypercare window for reconciliation issues. We do not rebuild GENIEE MA automations as Salesforce Flow inside the migration scope; that is a separate engagement.

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
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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SFA/CRM-only migrations under 15,000 Contacts and 3,000 Deals land between five and eight weeks. Migrations that include DSP/SSP data export, Japanese-language field discovery, custom object schema creation, or large engagement histories move to twelve to twenty weeks. The primary timeline variable is how quickly GENIEE account management responds to data export requests, which adds 2-4 weeks of lead time before migration can begin. Customers who engage GENIEE support early in the project planning phase reduce this variable significantly.

Adjacent paths

Related migrations to explore

Ready when you are

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