CRM migration

Migrate from Badger Maps to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between Badger Maps and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

Badger Maps logo

Badger Maps

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

12 of 12

objects map 1:1 between Badger Maps and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

24–48 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Badger Maps and Dynamics 365 Sales occupy different layers of the sales tech stack. Badger is a field-focused route-planning and territory-visualization tool that synchronizes with CRMs — it stores accounts, contacts, custom fields, and check-in activities but does not provide pipeline management, forecasting, or native automation. Dynamics 365 Sales is a full CRM built on Microsoft Dataverse with lead-and-opportunity lifecycle management, AI-powered insights, and Power Automate for workflow automation. Teams move from Badger to Dynamics when they need CRM depth beyond field routing: pipeline stages, deal tracking, quote management, Copilot AI insights, and Microsoft 365 integration. We map Badger's Account, Contact, Lead, and custom field objects directly to their Dynamics equivalents. Badger check-ins (timestamped customer visits) migrate as Dataverse Activities — either Tasks or Appointments depending on whether the check-in was logged against a scheduled time slot. Badger's territory assignments become Dynamics Territory records linked to the rep's user account. Route optimization rules, Badger-specific navigation settings, and Badger's route-stop sequencing are not migratable because they are Badger-native constructs with no Dynamics equivalent — these must be re-established using Dynamics territory management and route-planning tools post-migration. Our migration engine connects to Badger's REST API using token-based authentication, extracts all record types in dependency order, validates against Dynamics field types, and loads via Dataverse bulk operations or batched Web API calls. A delta-pickup window captures any changes made in Badger during the cutover window.

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

Badger Maps logo

Badger Maps

What's pushing teams away

  • Per-user pricing becomes expensive at scale, especially for teams larger than 40 reps where competitors offer flat-rate or lower per-seat models, driving customers to alternatives like SalesRabbit or Geopointe.
  • GPS navigation accuracy is frequently cited as frustrating, with the app routing to incorrect addresses and causing delays in the field, particularly in areas with frequent address changes.
  • Route limit of approximately 23 stops per route forces reps to create multiple routes manually and string them together, breaking the automated optimization logic.
  • The learning curve is steep for new reps, with users reporting they need more time and clearer instructions to become productive, especially around CRM integration setup.
  • CRM integration options vary by plan, and Standard Integration only syncs one object type at a time, making the Advanced Integration feel like a required upsell for teams with complex data models.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Badger Maps objects map to Microsoft Dynamics 365 Sales

Each row shows how a Badger Maps object lands in Microsoft Dynamics 365 Sales , 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

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Badger Accounts map 1:1 to Dynamics 365 Accounts. Badger stores company name, address, phone, website, and category. Dynamics Account stores these same fields plus industry, employee count, and annual revenue. If Badger Account has no address but is associated with a Contact that does, the Contact address can be promoted to Account address during migration.

Badger Maps

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Badger Contacts map to Dynamics Contacts with first name, last name, email, phone, mobile phone, job title, and address fields preserved directly. Dynamics requires an Account lookup (AccountId) — Badger Contacts without a primary company get attached to a default 'Unassigned Account' record or your specified fallback account.

Badger Maps

Lead

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

Badger Leads that are not yet converted to Accounts or Contacts migrate as Dynamics Leads with full field parity. Dynamics Lead has a Status and Lead Quality Score field that can be populated from Badger lead score data if present. Leads are not converted to Contact/Account during migration — conversion is a Dynamics admin decision post-migration.

Badger Maps

Custom Field (Text)

maps to

Microsoft Dynamics 365 Sales

Custom Column (Text)

1:1
Fully supported

Badger text custom fields migrate to Dataverse text columns on the Account, Contact, or Lead table depending on which entity the custom field was defined under. Dynamics sets the Max Length to 4000 characters. If the Badger field was used as a pick-list (text values), we create a Dataverse OptionSet and map values one-by-one.

Badger Maps

Custom Field (Numeric)

maps to

Microsoft Dynamics 365 Sales

Custom Column (Number)

1:1
Fully supported

Badger numeric custom fields migrate to Dataverse Whole Number or Decimal columns depending on the data. Integer values migrate as Whole Number; decimal values migrate as Decimal with appropriate precision. The field inherits the name from Badger and is added to the same entity (Account, Contact, or Lead) where it was defined.

Badger Maps

Check-in / Visit

maps to

Microsoft Dynamics 365 Sales

Task or Appointment

1:1
Fully supported

Badger check-ins (timestamped customer visits) migrate as Dataverse Activities. If the check-in has a scheduled time window it becomes an Appointment; if it was a log-only visit it becomes a Task. The Regarding field links to the Account or Contact in Dynamics. Original check-in timestamp, rep owner, and notes are preserved. GPS coordinates from Badger are stored in a custom text field since Dataverse has no native location type.

Badger Maps

Territory Assignment

maps to

Microsoft Dynamics 365 Sales

Territory + User

1:1
Fully supported

Badger territory assignments (which rep owns which territory) map to Dynamics Territory records linked to User records. Badger territory name and rep assignment become a Territory record with the rep's UserId. Shape-boundary data (polygon coordinates) cannot migrate because Dynamics has no native geometry storage — your team recreates boundaries in a mapping tool like Maplytics post-migration.

Badger Maps

Route

maps to

Microsoft Dynamics 365 Sales

Custom Table (Route Stop)

1:1
Fully supported

Badger Routes contain ordered stops with optimized sequencing — this is a Badger-native optimization concept with no Dynamics equivalent. We create a custom Route_Stop__c Dataverse table with fields for AccountId, Sequence, Scheduled_Time__c, and Route_Name__c so the ordered stop data is preserved, but Dynamics does not have built-in route visualization. Route optimization logic must be re-established using a Dynamics-compatible mapping add-in.

Badger Maps

User / Rep

maps to

Microsoft Dynamics 365 Sales

SystemUser

1:1
Fully supported

Badger user accounts (sales reps) are resolved by email match against Dynamics 365 SystemUser records. If a Badger user has no matching Dynamics user, their records are assigned to a fallback owner and flagged for admin review. Reps must have Dynamics licenses assigned before migration for owner resolution to succeed.

Badger Maps

Follow-up Reminder

maps to

Microsoft Dynamics 365 Sales

Task

1:1
Fully supported

Badger follow-up reminders are timestamped tasks linked to an Account or Contact. They migrate as Dataverse Tasks with Subject, Due Date, Priority, and Regarding lookup preserved. Status is set to Not Started on migration unless the follow-up date has passed, in which case it is set to Overdue.

Badger Maps

Attachment / File

maps to

Microsoft Dynamics 365 Sales

Note (Annotation)

1:1
Fully supported

Badger files attached to accounts or contacts migrate as Dataverse Note (Annotation) records. File size limits of 5MB per note apply. If Badger stores files larger than this, they are exported to a designated SharePoint or Blob location and a Note record with the URL is created in Dynamics pointing to the external file.

Badger Maps

CRM Integration Settings

maps to

Microsoft Dynamics 365 Sales

No Equivalent

1:1
Fully supported

Badger's integration configuration (which CRM it synced to, sync direction, mapped objects) has no Dynamics equivalent because Dynamics IS the CRM destination. These settings are documented as a pre-migration reference for your admin to configure the Badger-Dynamics integration being decommissioned.

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.

Badger Maps logo

Badger Maps gotchas

Medium

Route stop limit breaks optimization for high-volume days

Medium

Custom field migration requires pre-migration field discovery

Medium

CRM integration tier gates object availability

Low

Check-in history retention depends on export cadence

High

No documented public bulk export API

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Route optimization and stop sequencing have no Dynamics equivalent

    Badger's core value is optimizing the order of customer visits across a rep's territory. This optimization logic — the stop sequence, route distance calculation, and time-window constraints — is a Badger-native algorithm stored in Badger's own data model. Dynamics 365 Sales has no route optimization capability; it stores CRM records but does not sequence them geographically. We preserve the ordered stop list as a custom Route_Stop__c Dataverse table with AccountId and sequence number, but your team must use a Dynamics-compatible mapping add-in (Maplytics, for example) to re-implement route visualization and optimization post-migration.

  • Territory shape-boundary data cannot migrate to Dynamics native fields

    Badger stores territory boundaries as geographic shapes (polygons or radii) that define which accounts fall within each rep's territory. Dynamics 365 Sales Territory records store the territory name, manager, and associated accounts — but Dynamics has no native geometry or shape-storage capability. Boundary data must be re-created using a mapping tool like Maplytics (which integrates Bing Maps or Azure Maps with Dynamics) or manually redrawn in a GIS tool. We migrate the territory assignment (which rep owns which territory) but not the visual boundary shapes.

  • Badger API rate limits require staged extraction for large datasets

    Badger's API (v2) enforces rate limits on data extraction. For teams with over 50,000 records, we implement staged pagination and batched exports to avoid hitting Badger's throttling thresholds. If Badger's API returns a 429 (Too Many Requests) response, the extraction pauses and retries with backoff. This can extend the extraction phase by 20–40% for very large datasets. We monitor API response headers and adjust batch sizes dynamically during the extraction phase.

  • Check-in GPS coordinates require a custom field since Dataverse has no native Lat/Long type

    Badger captures GPS latitude and longitude at the moment a rep checks in at a customer location. Dynamics 365 Sales (Dataverse) does not have a native latitude/longitude field type on Activity records. We store GPS coordinates as a custom text field (Badger_GPS_Coordinates__c) in the format 'latitude,longitude'. This field can be used by Power Apps or Maplytics for territory visualization, but it requires a custom canvas app or third-party tool to render on a map — it does not display natively within the Dynamics Sales Hub forms.

  • Badger's two-way sync configuration must be decommissioned manually

    Many Badger customers have a live two-way sync running between Badger and their current CRM (Salesforce, HubSpot, or a prior Dynamics instance). During migration, this sync must be paused before the Badger-to-Dynamics migration runs — otherwise new records created in Badger during the migration window will overwrite or conflict with records being loaded into Dynamics. We document the exact step to pause Badger's CRM sync in our pre-flight checklist, and the delta-pickup phase captures any changes made after the sync pause but before the final cutover.

Migration approach

Six steps for a successful Badger Maps to Microsoft Dynamics 365 Sales data migration

  1. Pause Badger CRM sync and export current state

    Before data extraction begins, the Badger-to-existing-CRM sync is paused to prevent write conflicts. FlitStack then connects to Badger's REST API v2 using token-based authentication and exports all Accounts, Contacts, Leads, custom field values, check-in records, territory assignments, routes, and follow-up reminders. Export runs in paginated batches with retry logic to handle rate-limit responses. A pre-export snapshot report confirms record counts before transformation begins.

  2. Resolve Badger users to Dynamics 365 SystemUser records

    Badger rep IDs and owner fields are resolved by email address against Dynamics 365 SystemUser records. FlitStack generates a pre-migration owner-resolution report listing matched users, unmatched users, and the fallback owner assignment for each. Your Dynamics admin must ensure all active Badger reps have Dynamics licenses and user accounts before the load phase. This step gates the entire migration because Dataverse Activities require a valid OwnerId on every record.

  3. Create custom columns and tables in Dynamics Dataverse

    Badger custom fields (text and numeric) are created as Dataverse columns on the Account, Contact, and Lead tables before data loads. A custom Route_Stop__c table is created to hold route stop data. OptionSet values are created for any Badger text fields used as pick-lists. Dynamics environment type (Sales Professional vs. Enterprise) is confirmed because Professional enforces a 15-table limit on custom tables — if you exceed this, we flag it and recommend upgrading to Enterprise or adjusting the migration scope before loading.

  4. Load Accounts, Contacts, Leads, then Activities in dependency order

    Dataverse enforces referential integrity — Contact requires an existing AccountId lookup, and Activities require a Regarding reference. Records are loaded in strict order: Accounts first, then Contacts (with AccountId resolved), then Leads, then Tasks/Appointments for check-ins and follow-ups, then Territory records, then Route_Stop__c records. Each batch is validated post-load for required-field completeness, duplicate detection (by email for Contacts/Leads, by name for Accounts), and lookup resolution before the next batch begins.

  5. Run sample migration with field-level diff and delta pickup

    A representative slice (typically 100–500 records spanning each object type and activity type) migrates first. FlitStack generates a field-level diff comparing source Badger values to the loaded Dynamics values for every mapped field. You review the diff to confirm check-in timestamps, owner resolution, GPS coordinate storage, and custom field values before the full run commits. After the full migration completes, a delta-pickup window (24–48 hours) captures any records modified in Badger during the cutover. An audit log records every create and update operation.

  6. Validate, rollback availability, and deliver rebuild reference

    Post-migration validation checks record counts, required-field completeness, duplicate rates, and lookup resolution across all object types. If validation fails the agreed accuracy threshold, one-click rollback reverts the Dataverse environment to its pre-migration state. FlitStack delivers a rebuild reference export containing your Badger workflow configuration documentation, CRM integration settings, territory-boundary screenshots, and route optimization rules — this serves as the blueprint for re-establishing automation and routing in Dynamics using Power Automate, Business Rules, and Maplytics.

Platform deep dives

Context on both ends of the pair

Badger Maps logo

Badger Maps

Source

Strengths

  • Generates optimized driving routes for 100+ stops per day with appointment time scheduling and duration control.
  • Two-way real-time CRM sync with Salesforce, Pipedrive, Copper, HubSpot, and Zoho keeps field and office data in sync.
  • Mobile-first design lets reps log check-ins, add notes, and discover new leads directly from the field without returning to a desktop.
  • Weekly automated check-in reports and a 30-day chart give managers visibility into field activity without manual entry.
  • Lasso and radius selection tools let managers export subsets of Accounts by geographic area for targeted migration scoping.

Weaknesses

  • GPS accuracy issues cause routes to direct reps to incorrect addresses, particularly in areas with high address turnover.
  • Per-user pricing model is cost-prohibitive for large teams; volume discounts only apply after 40 users, capping savings for mid-size organizations.
  • CRM integrations are tiered: Standard Integration is limited to one object type, while Advanced Integration requires additional configuration and is not available on all plans.
  • Route limit of approximately 23 stops per route requires manual workarounds and breaks automated optimization for high-volume reps.
  • The platform has no standalone data export utility beyond CSV; bulk API access is not publicly documented, limiting programmatic migration options.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Badger Maps and Microsoft Dynamics 365 Sales .

  • Object compatibility

    B

    1 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

    Badger Maps: Not publicly documented.

  • Data volume sensitivity

    B

    Badger Maps doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Badger Maps to Microsoft Dynamics 365 Sales 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 Badger Maps to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during Badger Maps to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

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Most Badger-to-Dynamics migrations complete in 24–48 hours for under 10,000 total records (accounts, contacts, leads, and check-ins). Larger datasets with 100k+ records or complex custom-field setups extend to 5–10 days. The longest phase is typically owner resolution and custom column creation in Dataverse before data begins loading. Route stop migration adds extra validation time because the custom Route_Stop__c table requires post-load integrity checks.

Adjacent paths

Related migrations to explore

Ready when you are

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