CRM migration
Field-level mapping, validation, and rollback between Reach and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Reach
Source
Salesforce Sales Cloud
Destination
Compatibility
6 of 12
objects map 1:1 between Reach and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Reach to Salesforce Sales Cloud is a migration constrained by Reach's absence of a public REST API or bulk export endpoint, forcing us to rely on Reach's CSV export feature and manual record discovery. Reach's object model is not publicly documented, so we validate schema assumptions against the actual column set of each export and carry any unmapped columns forward as custom fields. We resolve the Salesforce Lead-versus-Contact split during scoping by inferring qualification status from any status or stage columns present in the export. Activity history and engagement timestamps are migrated through the Salesforce Bulk API 2.0 with parent-record lookup resolution. We do not migrate Reach's playlist and screen management content as these are media assets without a standard CRM analog; we document them as a written inventory for the customer's admin. Workflows, automations, and integrations do not migrate as code.
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 Reach 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.
Reach
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manyReach Contacts map to Salesforce Lead or Contact depending on the status and stage columns present in the export. We infer qualification status from any pipeline, stage, or lifecycle columns in the export and apply the split rule during the transform phase. Any status column not matching a known Salesforce Lead Status is mapped as a custom picklist value. The original Reach status value is preserved in a custom field reach_original_status__c on both Lead and Contact for audit continuity.
Reach
Custom Property (column-level)
Salesforce Sales Cloud
Custom Field on Lead or Contact
lossyReach's undocumented field model means we discover custom properties only at export time by comparing the full column set of the export against a baseline Reach contact export. Each column not matching a known Salesforce standard field is treated as custom and mapped to a typed Salesforce custom field (Text, Number, Picklist, Date, etc.) on the appropriate object. We pre-create these fields in the destination Salesforce org during the schema design phase before any data loads begin.
Reach
Company data (if present as contact property)
Salesforce Sales Cloud
Account
many:1If Reach stores company information as contact-level properties (company name, website, industry, address), we extract these into a normalized staging table and create Salesforce Account records before the Contact import. Each unique company value becomes one Account record; contacts are linked via AccountId Lookup after Account creation. This N:1 merge is resolved during the transform step before the Account load phase.
Reach
Tags / Labels
Salesforce Sales Cloud
Multi-Select Picklist or Topic
lossyReach's tagging and label functionality is implied by content management workflows mentioned in reviews. Any tag-equivalent column in the export (comma-separated values or multi-select format) is mapped to a Salesforce multi-select picklist on Contact or Lead. If tags are used for content classification, we map them to Salesforce Topics with TopicAssignment records. The customer chooses the tag strategy during scoping.
Reach
Media Content (playlist, screen assets)
Salesforce Sales Cloud
ContentDocument + ContentVersion
lossyReach stores media assets tied to contacts or accounts for multi-screen content management. We extract these as ContentVersion records (file binary) and create ContentDocumentLink records linking to the parent Contact or Account. Playlist metadata (name, sequence, schedule) is stored as a custom ContentPlaylist__c object with child ContentPlaylistItem__c records. We document the full playlist structure as a written inventory and do not migrate the actual media files unless the customer provides direct file access.
Reach
User / Team Member
Salesforce Sales Cloud
User
1:1Reach Enterprise tier documents a seat-license model with reassignable admin accounts. User records (name, email, role, status) are extracted from the export or from the license management portal and mapped to Salesforce User records by email match. Any Reach user without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before Contact import resumes, because OwnerId is a required reference on most standard Salesforce objects.
Reach
Engagement history (calls, emails, meetings)
Salesforce Sales Cloud
Task + Event + EmailMessage
1:1If the Reach export includes engagement timestamps, call disposition, or activity history columns, these migrate to Salesforce Task (TaskSubtype=Call for phone interactions), Event (for meetings), and EmailMessage (for email content) linked to the parent Contact or Lead. Activity ordering is preserved by setting ActivityDate to the original Reach timestamp. We use the Salesforce Bulk API 2.0 with batch chunking and exponential backoff on API limit responses for large activity volumes.
Reach
Notes
Salesforce Sales Cloud
Note
1:1Reach note records migrate to Salesforce Note objects linked via ContentDocumentLink to the parent Contact, Lead, or Account. Note body migrates as plain text with any embedded media preserved as separate ContentDocument records. Rich-text formatting is converted to Salesforce's rich-text subset during transform.
Reach
Custom Object (if discovered during export)
Salesforce Sales Cloud
Custom Object
1:1If the Reach export reveals an undocumented record type beyond Contact (implied by reviews referencing custom workflows and business-specific data), we create a Salesforce custom object with matching API name (with __c suffix), pre-create all inferred custom fields during schema design, and establish any implied lookup relationships to Contact or Account before loading the custom object as the final import phase.
Reach
Ticket / Issue (if present)
Salesforce Sales Cloud
Case
1:1If the Reach export includes support tickets or issue records, these map to Salesforce Case if the destination org includes Service Cloud. Ticket pipeline becomes Case Record Type; ticket stages become Case Status values; ticket conversations migrate as EmailMessage records linked to the Case. Case Origin maps from the Reach ticket source channel.
Reach
Product / Service listing
Salesforce Sales Cloud
Product2 + PricebookEntry
1:1If Reach contains product or service records referenced in contact or deal data, these migrate to Salesforce Product2 with Standard Price Book entries. ProductCode maps from any Reach SKU field. The Pricebook2 reference is resolved at migration time to the customer's active Pricebook before PricebookEntry records are created.
Reach
Export metadata (created date, modified date, export ID)
Salesforce Sales Cloud
Custom audit fields on all objects
lossyReach's CSV export includes system-level timestamps (record creation date, last modified date, export run ID) that we preserve as custom Salesforce fields (reach_created_date__c, reach_modified_date__c, reach_export_id__c) on every migrated object. These fields provide audit continuity and allow the customer's admin to identify which records were migrated from Reach versus created natively in Salesforce after cutover.
| Reach | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Custom Property (column-level) | Custom Field on Lead or Contactlossy | Fully supported | |
| Company data (if present as contact property) | Accountmany:1 | Fully supported | |
| Tags / Labels | Multi-Select Picklist or Topiclossy | Fully supported | |
| Media Content (playlist, screen assets) | ContentDocument + ContentVersionlossy | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Engagement history (calls, emails, meetings) | Task + Event + EmailMessage1:1 | Fully supported | |
| Notes | Note1:1 | Fully supported | |
| Custom Object (if discovered during export) | Custom Object1:1 | Fully supported | |
| Ticket / Issue (if present) | Case1:1 | Fully supported | |
| Product / Service listing | Product2 + PricebookEntry1:1 | Fully supported | |
| Export metadata (created date, modified date, export ID) | Custom audit fields on all objectslossy | 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.
Reach gotchas
No public API documentation discovered
Export files expire after 7 days
Platform object schema is undocumented
Multiple unrelated products share the Reach name
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
Discovery and export scheduling
We audit the Reach portal to confirm data categories present (Contacts, custom properties, tags, media assets, team members) and identify any undocumented objects by reviewing the export column set against a baseline Reach contact export. We schedule the first export during the discovery call, download immediately, and store in an encrypted staging environment. We confirm with the customer whether any status, stage, or qualification column exists in Reach to inform the Lead-Contact split design. If Salesforce is not yet provisioned, we provide edition guidance: Professional ($80/user) for most migrations; Enterprise ($165/user) if custom objects, territory management, or advanced reporting is required.
Schema design in Salesforce Sandbox
We design the destination schema in a Salesforce Sandbox before touching production data. This includes pre-creating custom fields for every Reach column not matching a Salesforce standard field, defining picklist value sets for any tag-equivalent columns, creating Record Types if multiple pipeline types are present, and setting up the Lead-Contact split rule with a custom field reach_original_status__c on both Lead and Contact. If company data is stored as contact properties in Reach, we design the Account object and Account-Contact relationship at this stage. Schema is deployed via Salesforce metadata API or change set into Sandbox for validation before production migration begins.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-equivalent data volume. The customer's RevOps lead reconciles record counts (Leads in, Contacts in, Accounts in, Custom Object records in), spot-checks 25-50 random records against the Reach export, and signs off the schema and mapping before production migration begins. Any field type corrections, picklist value additions, or split rule adjustments happen in Sandbox, not in production. This phase also validates that Salesforce validation rules do not block the load.
Owner reconciliation and User provisioning
We extract every distinct Reach user referenced on contact records and match by email against the Salesforce destination org's User table. Any Reach user without a matching Salesforce User goes to a reconciliation queue. The customer's Salesforce admin provisions missing Users before production migration resumes. If the customer uses Role Hierarchies or Territory Management in Salesforce, we align Reach team members to the appropriate Role or Territory at this stage to ensure reports and dashboards reflect the correct organizational structure post-migration.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (extracted from Reach contact properties), Users (provisioned, not migrated), Contacts (with AccountId resolved if company data exists), Leads (with the status-based split applied), Custom Objects (last because they often have lookups to standard objects), Engagement history (Tasks, Events, EmailMessages via Bulk API 2.0 with batch chunking and exponential backoff), ContentDocuments (for media assets). Each phase emits a row-count reconciliation report and a sample record validation before the next phase begins. We freeze Reach write access during the final delta migration window to prevent record drift between the last export and cutover.
Cutover, validation, and handoff
We enable Salesforce as the system of record after the final delta migration and validation pass. We deliver a written inventory of any Reach features without a Salesforce analog (playlist configurations, screen management settings, media asset file URLs, and any undocumented custom objects discovered during extraction) for the customer's admin to evaluate for manual rebuild. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Reach automations or screen management configurations as Salesforce Flow or Content Management within the migration scope; those are separate engagements.
Platform deep dives
Reach
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Reach and Salesforce Sales Cloud.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
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
Reach: Not publicly documented.
Data volume sensitivity
Reach 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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