CRM migration
Field-level mapping, validation, and rollback between Reach and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Reach
Source
HighLevel
Destination
Compatibility
7 of 8
objects map 1:1 between Reach and HighLevel.
Complexity
BStandard
Timeline
2-3 weeks
Overview
The Reach-to-GoHighLevel migration is a manual-extraction project first and a structured import second. Reach has no publicly documented REST API and no published field schema, which means we cannot pull data programmatically. Instead we rely on Reach's built-in CSV export feature, capture all visible columns at extraction time, and map them into GoHighLevel's Contact object and Custom Fields. GoHighLevel's all-in-one model (CRM, funnels, SMS, email, workflows) offers a substantially richer destination than Reach's contact-centric tool, but the structural gap means we spend more time in the discovery and schema-validation phases than we would with an API-connected source. We do not migrate Reach's playlist and screen-management media; these transfer as Notes or file Attachments linked to the nearest Contact record. GoHighLevel's Custom Objects are available at all paid tiers (ten per location) and provide a destination for any Reach custom-property data that does not map to standard GoHighLevel Contact fields.
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 HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Reach
Contact
HighLevel
Contact
1:1Reach Contacts map to GoHighLevel Contacts as the primary record. Because Reach does not publish its field schema, we capture all visible columns from the CSV export at extraction time and map each to either a GoHighLevel standard Contact field (First Name, Last Name, Email, Phone, Address) or a GoHighLevel Custom Field created to receive the Reach-specific property. We validate the full column set against the baseline Reach export and treat any column not matching a known standard as custom. Reach contact records may contain company data stored as a property; we split this into a separate GoHighLevel Company record and resolve the Contact-to-Company lookup at import time.
Reach
Custom Properties
HighLevel
Custom Fields (Contact object)
lossyReach's custom property model is not publicly documented. We discover custom fields at export time by comparing the full column set of the Reach CSV export against a baseline Contact export baseline. Each discovered custom property becomes a GoHighLevel Custom Field on the Contact object (or on a Custom Object if the data is entity-level rather than person-level). Field type mapping is inferred from Reach data patterns: text values become GoHighLevel text fields, numeric values become number fields, and date-like values become date fields. The customer confirms the intended field type during scoping validation.
Reach
Labels/Tags
HighLevel
Tags
1:1Reach label or tagging data is extracted from any tag-equivalent column in the CSV export and applied as GoHighLevel Tags on the Contact record. GoHighLevel supports multiple tags per Contact with no tag limit documented at the standard tier. We handle comma-separated or multi-value tag cells in the Reach export by splitting and creating individual Tag records. Tags used for content classification in Reach's media workflows are preserved as-is for the customer to reassign in GoHighLevel's Tag Manager.
Reach
Media Content (Playlists, Screens)
HighLevel
Note or Attachment
1:1Reach stores playlist and screen management data tied to contacts or accounts, but the storage model is not documented. We extract any media-asset references visible in the Reach export (URLs, file names, playlist identifiers) as Note records or file Attachments in GoHighLevel linked via ContentDocumentLink to the nearest Contact. We do not migrate the actual media files programmatically because Reach provides no documented media export endpoint; the customer must export media assets manually from Reach and re-upload them to GoHighLevel or a linked storage service.
Reach
Company Data (contact property)
HighLevel
Company
1:1If Reach contact records contain company name or company-level properties, we split these into a GoHighLevel Company record. Multiple Reach contacts sharing the same company name are de-duplicated into a single Company record with the Contact-to-Company lookup resolved at import time. This applies only if confirmed company data is present in the Reach export; if Reach stores company data only as a flat contact property without separate entity tracking, we flag it during scoping so the customer can decide whether to create Company records or leave company data as a Contact custom field.
Reach
User/Team Member
HighLevel
User
1:1Reach Enterprise seat-license records (name, email, role status) map to GoHighLevel User records. We resolve by email match against the GoHighLevel destination account. Any Reach user without a matching GoHighLevel User is flagged in a reconciliation queue for the customer to provision before Contact import resumes, because GoHighLevel requires OwnerId references on records assigned to active Users.
Reach
No confirmed Deal/Opportunity object
HighLevel
Opportunity
1:1No Deal or Opportunity object was identified in available Reach documentation or reviews. If the customer's Reach account contains deal-like records stored as contact properties or in a separate export category not discovered during initial research, we flag this during the discovery call and add it to the object mapping scope. In the standard Reach migration scenario, we do not provision Opportunities in GoHighLevel unless confirmed deal data exists.
Reach
No confirmed activity history
HighLevel
Task, Event, EmailMessage
1:1Reach's export documentation makes no mention of activity history, call logs, or engagement timestamps. We do not migrate activity data unless a full column export confirms its presence in the Reach dataset. If the customer confirms activity records exist in Reach, we add Task, Event, and EmailMessage migration using GoHighLevel's API with standard field mapping (TaskSubtype for calls, ActivityDate for timestamp preservation).
| Reach | HighLevel | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Custom Properties | Custom Fields (Contact object)lossy | Mapping required | |
| Labels/Tags | Tags1:1 | Fully supported | |
| Media Content (Playlists, Screens) | Note or Attachment1:1 | Fully supported | |
| Company Data (contact property) | Company1:1 | Fully supported | |
| User/Team Member | User1:1 | Fully supported | |
| No confirmed Deal/Opportunity object | Opportunity1:1 | Fully supported | |
| No confirmed activity history | Task, Event, EmailMessage1:1 | 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.
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
HighLevel gotchas
Sub-account architecture creates isolated data silos per client
Usage-based telecom and AI costs are not in the subscription price
Workflows have no native equivalent in most destination CRMs
API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account
White-label configuration and branding assets do not export via API
Pair-specific challenges
Migration approach
Onboarding and Reach product confirmation
We confirm the exact Reach product, subdomain, and account tier (standard or Enterprise) during the onboarding call. We review the Reach knowledge base for the target account's export procedures, confirm the export categories available (Contacts, Users, any confirmed custom data), and instruct the customer on initiating exports immediately so the 7-day expiration window is managed. We also capture GoHighLevel account credentials and confirm the destination location or sub-account structure before any extraction begins.
Manual export extraction and column discovery
The customer initiates Reach CSV exports per our export checklist. We download and stage each export file immediately. We analyze the full column set of every export, comparing it against a baseline Reach Contact export to identify standard fields and custom properties. Any column not matching a known Reach standard field is treated as custom and flagged for GoHighLevel Custom Field creation. We document the complete column inventory before mapping begins.
GoHighLevel schema preparation
We configure the destination GoHighLevel environment: provisioning Custom Fields on the Contact object for any Reach custom properties, creating a Company object if confirmed company data exists in Reach exports, and provisioning any required Custom Objects with typed fields and relationships. We configure Tags in GoHighLevel's Tag Manager to match the label set discovered in Reach exports. User records are reconciled against GoHighLevel Users by email match. The schema is validated in a GoHighLevel test location before production import.
Field mapping and data transformation
We map each Reach column to a GoHighLevel field: standard Contact fields for name, email, phone, and address; Custom Fields for Reach-specific properties; Tags for label data. Company name properties are split into a separate Company record with Contact-to-Company lookup resolution. Date formats, phone number formats, and any null or placeholder values are standardized during the transform phase. The mapping document is reviewed with the customer before import execution.
Staged import and reconciliation
We run a staged import into a GoHighLevel test location using a representative subset of the Reach data. The customer validates record counts, field values, and tag assignments against the Reach source. We correct any mapping errors identified during staging. Once the customer signs off on the staged import, we proceed to production import at full record volume. Each import phase emits a row-count reconciliation report.
Production cutover and handoff
We freeze Reach writes during the cutover window, run a final delta import of any records modified during the migration window, then mark GoHighLevel as the system of record. We deliver the complete mapping document and a list of any Reach data that could not be migrated (with reasons). We do not rebuild Reach workflows or automations as GoHighLevel workflows because Reach has no documented automation model and GoHighLevel workflows are custom-built per business process. We support a 5-business-day hypercare window for post-cutover reconciliation.
Platform deep dives
Reach
Source
Strengths
Weaknesses
HighLevel
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 HighLevel.
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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FAQ
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