CRM migration
Field-level mapping, validation, and rollback between ContactDB and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
ContactDB
Source
Salesforce Sales Cloud
Destination
Compatibility
13 of 14
objects map 1:1 between ContactDB and Salesforce Sales Cloud.
Complexity
CModerate
Timeline
2-4 weeks
Overview
ContactDB is a purchased list database, not a CRM, so a migration to Salesforce is fundamentally a data-ownership transition: flat prospect records become owned CRM contacts, and loose company names become normalized Account hierarchies. We extract the CSV export, validate email formats and firmographic completeness, split each ContactDB row into a Contact and an Account lookup (deduped by domain), and reconstruct segment membership as Salesforce custom fields. The migration does not include activity history, pipeline stages, or engagement data because ContactDB does not store these. We deliver a written inventory of any Workflow equivalents you should build in Salesforce Flow and a clear statement of what does not exist in the source to migrate.
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.
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 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.
ContactDB
Contact
Salesforce Sales Cloud
Contact
1:1ContactDB contact records map directly to Salesforce Contact. We ingest the CSV export row for each ContactDB contact and map FirstName, LastName, Email, Phone, and Title to the equivalent Salesforce Contact fields. Because ContactDB does not enforce a required LastName, we flag any record missing a name value for customer review before insert. The Contact's AccountId is resolved via the Account lookup step (see below) before the Contact record is created.
ContactDB
Company
Salesforce Sales Cloud
Account
1:1ContactDB exposes firmographic attributes (company name, size, industry, SICCODE) per contact row. We extract distinct company names from all contact records, deduplicate by normalized domain (extracted from email address where available), and create one Account per unique company. Company size maps to NumberOfEmployees; industry maps to Industry (Salesforce standard picklist, with unmapped values placed in a custom text field); SICCODE maps to a custom field sic_code__c. Accounts are created before Contacts so that AccountId lookup resolution is satisfied at Contact insert time.
ContactDB
Tag (segment membership)
Salesforce Sales Cloud
Custom Field (Multi-Select Picklist)
lossyContactDB segments contacts by industry, profession, title, country, and software usage, but these segment labels are not exported as standalone tag objects. We reconstruct segment membership as one or more custom multi-select picklist fields on the Contact object in Salesforce, using the customer's confirmed segment categories. The customer chooses during scoping whether to create separate fields per segment axis or a combined Segment__c field.
ContactDB
Firmographic (company size)
Salesforce Sales Cloud
Account.NumberOfEmployees
1:1ContactDB provides company size as a banded value (e.g., 1-10, 11-50, 51-200). We map these to the nearest integer midpoint for Salesforce NumberOfEmployees or, if the banded format is required for reporting, store the original band as a custom text field company_size_band__c alongside the numeric approximation.
ContactDB
Firmographic (industry)
Salesforce Sales Cloud
Account.Industry
1:1ContactDB industry values are mapped to Salesforce Industry picklist values. Unmapped industry strings are preserved in a custom field original_industry__c and the customer is asked to provide a mapping table during scoping. SICCODE migrates to a custom field sic_code__c (text) on Account.
ContactDB
Firmographic (credit rating)
Salesforce Sales Cloud
Custom Field on Account
1:1ContactDB provides a credit rating signal per contact. This maps to a custom field credit_rating__c (picklist) on the Account object. Values are preserved verbatim and the customer confirms the value set during scoping.
ContactDB
Mailing address
Salesforce Sales Cloud
Contact MailingAddress
1:1ContactDB provides mailing address fields (street, city, state, postal code, country) per contact. These map to the standard Salesforce Contact MailingAddress compound field. State and country values are validated against Salesforce's supported state and country ISO codes; unmapped values are flagged for customer correction before insert.
ContactDB
Email address
Salesforce Sales Cloud
Contact.Email
1:1Email addresses map to the standard Salesforce Contact.Email field. We apply a pre-import validation that flags records with missing, malformed, or obviously bounced email formats for customer review. Valid emails insert normally. Email addresses are used as a secondary dedupe key when matching Contacts to existing Salesforce records during incremental migrations.
ContactDB
Custom Fields
Salesforce Sales Cloud
Custom Fields on Contact or Account
1:1ContactDB does not document a custom fields schema. Any extended attributes stored against contacts in the platform are proprietary and not exposed in export packages. We explicitly scope custom field migration as out of scope and note that any extended data the customer wishes to preserve must be provided as a supplemental data dictionary or a separate CSV with field definitions at scoping.
ContactDB
Activities (calls, emails, meetings)
Salesforce Sales Cloud
None
1:1ContactDB is a purchased list database and does not store engagement history, call logs, or email activity. No activity data exists in the source to migrate. Any historical outreach data lives in the customer's email client, sales engagement tool, or call logging system and must be sourced from those systems separately if needed in Salesforce.
ContactDB
Pipeline Stages and Deals
Salesforce Sales Cloud
None
1:1ContactDB does not implement a pipeline or deal-tracking model. There are no pipeline stages, deal values, or deal-stage histories to migrate. If the customer requires Opportunity records in Salesforce, they create these post-migration as part of their Salesforce sales process setup.
ContactDB
Users and Owners
Salesforce Sales Cloud
None
1:1ContactDB is a data product without an internal user system. Contacts are not assigned to sales reps within ContactDB. Salesforce User provisioning is outside migration scope; the customer's admin creates Salesforce User records for the team before or after migration. We provide a rep roster template so that Account and Contact ownership can be assigned during or after the migration.
ContactDB
Attachments
Salesforce Sales Cloud
None
1:1ContactDB does not store document attachments against contact records. No attachment migration applies.
ContactDB
Notes and Tasks
Salesforce Sales Cloud
Note and Task
1:1ContactDB does not store notes or tasks against contact records. Any internal notes the customer's team has maintained in spreadsheets or other tools must be provided as a supplemental CSV with a field mapping specification for import into Salesforce Note or Task objects.
| ContactDB | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Tag (segment membership) | Custom Field (Multi-Select Picklist)lossy | Fully supported | |
| Firmographic (company size) | Account.NumberOfEmployees1:1 | Fully supported | |
| Firmographic (industry) | Account.Industry1:1 | Fully supported | |
| Firmographic (credit rating) | Custom Field on Account1:1 | Fully supported | |
| Mailing address | Contact MailingAddress1:1 | Fully supported | |
| Email address | Contact.Email1:1 | Fully supported | |
| Custom Fields | Custom Fields on Contact or Account1:1 | Not supported | |
| Activities (calls, emails, meetings) | None1:1 | Fully supported | |
| Pipeline Stages and Deals | None1:1 | Fully supported | |
| Users and Owners | None1:1 | Fully supported | |
| Attachments | None1:1 | Not supported | |
| Notes and Tasks | Note and Task1:1 | Fully 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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Export coordination and data receipt
We provide the customer with a structured export instruction sheet for ContactDB, specifying the fields and format to include in the CSV download. We accept the CSV package (single file or multiple files if pagination was required), validate the file structure, and confirm record counts before beginning transformation. If the customer has purchased multiple list segments across different exports, we document the file set and confirm which segments to include or deduplicate during scoping.
Data profiling and validation rule definition
We run a pre-import data quality profile on the ContactDB CSV: email format validation, missing required fields (name, email), duplicate email addresses within the dataset, duplicate company names across records, and SICCODE format checking. We produce a validation report with flagged records grouped by issue type. The customer reviews and decides which flagged records to exclude, correct, or accept. We also confirm the segment axis mapping for reconstructing ContactDB segment membership as Salesforce custom fields.
Account deduplication and creation
We extract distinct company names from all contact records, normalize them by stripping formatting variations, and deduplicate by extracted email domain where available. Each unique Account is created in Salesforce with Name, Website (from email domain), Industry, NumberOfEmployees (from company size band), SICCode__c, and CreditRating__c mapped. Accounts are inserted before Contacts so that AccountId is available for Contact lookups. We emit an Account count reconciliation report comparing unique ContactDB companies to created Salesforce Accounts.
Contact creation with AccountId resolution and segment reconstruction
We insert Contact records in dependency order: AccountId is resolved by matching the contact's company name (normalized) to the Account.Name field created in the prior step. Contact fields (FirstName, LastName, Title, Email, Phone, MailingAddress) are mapped directly from the ContactDB CSV. Segment membership from ContactDB is written to the custom multi-select picklist fields confirmed during scoping. We apply a batch insert with error collection, holding failed records for retry.
Sandbox validation and customer sign-off
For migrations over 10,000 records, we run the full pipeline into a Salesforce Sandbox (Developer or Partial Copy) before production. The customer's RevOps lead spot-checks 25-50 random Contacts against the original ContactDB CSV, verifies the Account lookup resolution, confirms segment field accuracy, and reviews the validation report for any records held for review. We incorporate any corrections into the production migration script before the production run begins.
Production migration and cutover
We run the validated migration pipeline into the production Salesforce org. Migration proceeds in Account-first, Contact-second order with batch reconciliation reports emitted after each phase. We freeze ContactDB list writes during the cutover window and run a final delta pass to capture any records added or modified during the migration run. Salesforce becomes the system of record once the delta pass is complete. We deliver the full reconciliation report and a written handoff document covering segment field definitions, any records held for manual review, and the out-of-scope inventory (activities, deals, workflows, users) that requires separate action.
Platform deep dives
ContactDB
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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
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FAQ
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