CRM migration
Field-level mapping, validation, and rollback between Badger Maps and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.
Badger Maps
Source
HighLevel
Destination
Compatibility
11 of 12
objects map 1:1 between Badger Maps and HighLevel.
Complexity
BStandard
Timeline
48–72 hours
Overview
Badger Maps is a mobile-first route planning and territory management tool designed for outside sales reps who need optimized routes, GPS navigation, and CRM sync. It is not a full CRM — its data model centers on Accounts (companies) and Contacts, with support for custom Text and Numeric fields, route stops, check-ins, and territory labels. Badger's API exposes Accounts, Contacts, Check-ins, Routes, and custom fields via token-based authentication with a standard REST interface. HighLevel is an all-in-one CRM, marketing automation, and sales engagement platform built for agencies and service businesses. Its data model includes Contacts, Companies, Opportunities with Pipelines, Tasks, Notes, Appointments, Tags, and Custom Objects. HighLevel supports robust workflow automation, a tagging system for segmentation, and a sub-account architecture for agencies managing multiple clients. We map Badger's Accounts to HighLevel Contacts and Companies, preserve custom fields as HighLevel custom fields, and convert check-in history (meetings, calls, visits) into HighLevel Tasks with original timestamps and notes. Territory labels migrate as Tags or a custom field. Route optimization data — the unique value Badger provides — has no direct HighLevel equivalent; we export the route stop list as a reference custom field so your team can recreate optimized routes in HighLevel's Pipeline and workflow tools. The migration runs via HighLevel's API with rate-limit-aware batching (100 requests per 10-second window).
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 Badger Maps 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.
Badger Maps
Account
HighLevel
Contact and Company
many:1Badger Accounts represent companies — they store business name, address, phone, website, and industry. We map the company name and address data to HighLevel's Company object, and the primary contact within the Account to a HighLevel Contact record linked to that Company. If the Badger Account has multiple associated contacts, each becomes a separate HighLevel Contact sharing the same CompanyId lookup.
Badger Maps
Contact
HighLevel
Contact
1:1Badger Contacts carry name, email, phone, job title, and address fields. These map 1:1 to HighLevel Contact fields. HighLevel Contacts also support a Phone2 field and custom fields for additional phone numbers. Owner assignment in HighLevel resolves by email match against existing HighLevel users.
Badger Maps
Check-in (Meeting / Visit)
HighLevel
Task
1:1Badger check-ins record a rep's visit to an account — they include timestamp, location, notes, and log type (meeting, call, or visit). Each check-in becomes a HighLevel Task with the original timestamp, a note containing the check-in comments, and the Account/Contact as the related record. Log type maps to HighLevel's Task category field. Location coordinates from the check-in are preserved as a custom field for geographic reference.
Badger Maps
Route
HighLevel
Custom Field Reference
1:1Badger Routes store a sequence of stops with optimized order, scheduled times, and navigation data. HighLevel has no route or territory optimization engine. We export the route stop list (account names, addresses, stop order) as a multi-line custom field on the primary Contact or as a Tag set. This gives your team a reference record of the route structure without rebuilding each route manually.
Badger Maps
Territory Label
HighLevel
Tag and/or Custom Field
1:1Badger territories assign accounts to geographic regions and allow color-coded map filtering. HighLevel has no native territory object. We map each territory name to a HighLevel Tag (e.g., 'Territory: Northeast', 'Territory: West Coast') applied to the Contact and Company records, and optionally create a Territory__c custom field for structured reporting. Multi-level territory hierarchies (region > district) become nested tags or a Tag + custom field combination.
Badger Maps
Custom Field (Text)
HighLevel
Custom Field (Text)
1:1Badger text custom fields (e.g., 'Priority', 'Account Type', 'Specialty') map directly to HighLevel custom text fields. We create the corresponding custom field in HighLevel's Contact or Company object before migration and map values row-by-row. Field names are preserved; truncation is applied if HighLevel's character limit is shorter than Badger's.
Badger Maps
Custom Field (Numeric)
HighLevel
Custom Field (Number)
1:1Badger numeric custom fields (e.g., 'Annual Revenue Estimate', 'Number of Locations') map to HighLevel Number fields. HighLevel supports integer and decimal formats. We match the field's numeric precision from Badger and apply it to the HighLevel field configuration. Zero-value handling and null representation follow HighLevel's defaults.
Badger Maps
Mileage Log
HighLevel
Task Note or Custom Field
1:1Badger tracks mileage per route for expense reporting purposes. HighLevel has no native mileage or expense tracking module. We preserve mileage data as a custom Number field ('Mileage__c') on the associated route reference record, or as a note on the first check-in of the route. Your team should evaluate a dedicated expense tool post-migration if mileage reporting is a compliance requirement.
Badger Maps
Lead (from CRM integration)
HighLevel
Contact
1:1Badger's Standard Integration can sync with CRM Leads. If your Badger setup pulled Leads from a connected CRM, those records appear as Contacts in Badger and migrate as Contacts in HighLevel. The source CRM's Lead status history is not carried over unless it was stored as a custom field in Badger — in that case we map it to a HighLevel custom pick-list field.
Badger Maps
Follow-up Reminder
HighLevel
Task
1:1Badger's follow-up flag creates a reminder to revisit an account. We convert these to HighLevel Tasks with a due date matching the follow-up date, assigned to the account owner. HighLevel's Tasks support due dates, priorities, and automatic reminders via Workflow triggers — an improvement over Badger's static reminder system.
Badger Maps
Attachment / Photo
HighLevel
HighLevel File Upload
1:1Badger check-ins can include photo attachments and file uploads. We download each attachment from Badger and re-upload to HighLevel's file storage, linking it to the corresponding Task or Contact record. HighLevel's file size limits apply (default 25MB per file). Inline images in notes are preserved as embedded attachments.
Badger Maps
Owner / Rep
HighLevel
HighLevel User (by email match)
1:1Badger assigns accounts and routes to specific reps. HighLevel's user model is contact-centric — each Contact has an assigned OwnerId. We resolve Badger owners by email lookup against HighLevel user accounts. Unmatched owners are flagged before migration; you can invite them to HighLevel or reassign records to a fallback user.
| Badger Maps | HighLevel | Compatibility | |
|---|---|---|---|
| Account | Contact and Companymany:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Check-in (Meeting / Visit) | Task1:1 | Fully supported | |
| Route | Custom Field Reference1:1 | Fully supported | |
| Territory Label | Tag and/or Custom Field1:1 | Fully supported | |
| Custom Field (Text) | Custom Field (Text)1:1 | Fully supported | |
| Custom Field (Numeric) | Custom Field (Number)1:1 | Fully supported | |
| Mileage Log | Task Note or Custom Field1:1 | Fully supported | |
| Lead (from CRM integration) | Contact1:1 | Fully supported | |
| Follow-up Reminder | Task1:1 | Fully supported | |
| Attachment / Photo | HighLevel File Upload1:1 | Fully supported | |
| Owner / Rep | HighLevel User (by email match)1:1 | 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.
Badger Maps gotchas
Route stop limit breaks optimization for high-volume days
Custom field migration requires pre-migration field discovery
CRM integration tier gates object availability
Check-in history retention depends on export cadence
No documented public bulk export API
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
Audit Badger data export and map custom fields
We begin by connecting to Badger's API using your token-based credentials and enumerating all Account, Contact, Check-in, and Custom Field records. We export the complete dataset via Badger's REST API and cross-reference it with any exported CSVs from Badger's Reports section. We catalog every custom field (name, type, values) and territory label to determine which require HighLevel custom field creation versus tag-based mapping. We also export saved route PDFs and route stop lists as reference records before the cutover.
Stand up HighLevel custom fields and tags
Before data lands in HighLevel, we create the custom fields identified in the audit — Text, Number, Date, and Pick-list fields on the Contact and Company objects. We configure the tag taxonomy for territory labels, ensuring consistent naming conventions across the migration. If you use HighLevel sub-accounts for multiple client or team contexts, we confirm the correct sub-account scope for field creation. This step runs in parallel with the Badger export so the destination schema is ready before any records are written.
Resolve owners and reps by email match
Badger assigns accounts and routes to specific reps identified by email. We match each Badger owner email against existing HighLevel user accounts. For unmatched owners — users who have left the team or do not yet have HighLevel accounts — we flag the records before migration and assign them to a designated fallback HighLevel user. No record migrates without a confirmed or fallback owner assignment. This step also identifies any HighLevel users who need to be invited before the migration runs.
Run sample migration with field-level diff
We migrate a representative slice — typically 100–500 records spanning accounts, contacts, check-ins, and a sample of custom fields — before the full run. The sample includes at least one account from each territory and one check-in with GPS coordinates. We generate a field-level diff comparing Badger source values against HighLevel destination values, including custom field rendering, tag application, and task note preservation. You review the sample diff and approve before the full migration commits. This is also the stage where route stop references are verified against HighLevel's custom field rendering.
Execute full migration with delta-pickup window
The full migration runs against HighLevel's API with rate-limit-aware pacing — we target 80 requests per 10-second window to stay well within the 429 threshold. Accounts and Companies migrate first (dependency order), followed by Contacts linked to those companies, then Check-ins as Tasks. Territory tags apply concurrently with Contact migration. Route stop references attach to the primary Contact record. A delta-pickup window of 24–48 hours captures any new check-ins or account updates made in Badger during the migration window. Audit logging tracks every record written, and one-click rollback is available if reconciliation reveals unexpected data loss.
Reconcile, validate, and deliver post-migration report
After the migration completes, we run a reconciliation report comparing Badger record counts and a spot-check of field values against HighLevel. We validate that all territory tags applied, custom fields populated, and check-in timestamps match the source. We deliver a summary of any records that could not be migrated (e.g., contacts with duplicate emails that merged, custom fields that exceeded character limits) along with recommended cleanup actions. Workflows, automations, and route optimization logic require separate rebuild in HighLevel's native tools — we provide a reference export of Badger's saved routes and custom field schema to assist your team.
Platform deep dives
Badger Maps
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 Badger Maps 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
Badger Maps: Not publicly documented.
Data volume sensitivity
Badger Maps 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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Badger Maps to HighLevel migration scoping. Not seeing yours? Book a call.
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