CRM migration
Field-level mapping, validation, and rollback between Fello and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Fello
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
12 of 12
objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
3–5 days
Overview
Fello is an AI-powered CRM platform designed primarily for real estate teams — it enriches contacts with home-data, scores leads by listing likelihood, and automates outreach through a plugin-style model that extends an existing CRM. The platform stores contacts with custom properties, companies or leads, engagement logs, and automation rules. Dynamics 365 Sales is Microsoft's full-stack CRM built on Dataverse: it uses Accounts and Contacts as the core objects, split Leads and Opportunities for the sales lifecycle, and supports custom columns on every standard table in Enterprise-tier licensing. Migrating from Fello to Dynamics 365 Sales means translating AI-generated lead scores into custom number fields, collapsing Fello's custom property model into Dynamics custom columns, and rebuilding Fello's outreach automations in Power Automate. We extract Fello data via its export API, apply type-aware field transformations, and load into Dynamics through the Dataverse Web API with bulk upsert for large volumes. The result is a Dynamics 365 Sales instance with your full contact history, enriched properties, and activity log intact — ready for your team to activate on day one.
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.
Source platform
Fello platform overview
Scorecard, SWOT, gotchas, and pricing for Fello.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Fello 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.
Fello
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Fello contact records map 1:1 to Dynamics 365 Sales Contact rows. Every standard contact property (name, email, phone, address) maps to its Dataverse equivalent. Owner resolution matches Fello owner email against Dynamics 365 user principal names — unmatched owners are flagged before the full run.
Fello
Company
Microsoft Dynamics 365 Sales
Account
1:1Fello Company records become Dynamics 365 Sales Account rows through a direct object mapping. The Company primary-contact link maps to the primary ContactId on the Account record, establishing the relationship between companies and their main contacts. Fello's multi-address model, which distinguishes between billing and shipping addresses, maps to the Address1 and Address2 composite fields in Dataverse, preserving all address variations during the migration.
Fello
Lead (if Fello has a lead concept)
Microsoft Dynamics 365 Sales
Lead
1:1Fello records marked with a status of 'unqualified' or 'new inquiry' route to the Dynamics 365 Lead entity during migration. Lead status pick-list values are mapped value-by-value to align with Dynamics 365's default Lead Status options, which include New, Contacted, Qualified, and Lost. This ensures that all Fello lead statuses are correctly translated to their corresponding Dynamics 365 statuses, maintaining the lead lifecycle state throughout the transition.
Fello
AI Lead Score (contact property)
Microsoft Dynamics 365 Sales
Custom column on Contact
1:1Fello's 0–100 AI lead score has no native equivalent in Dynamics 365 Sales. We create a custom number column (Fello_LeadScore__c) on the Contact table and migrate the score value for every contact. Probability of close can optionally be seeded from this score using a formula column.
Fello
Custom Property (Contact-level)
Microsoft Dynamics 365 Sales
Custom column on Contact
1:1Every Fello custom property on a contact becomes a custom column in Dynamics 365 Sales Enterprise. The API name uses the new_ prefix (e.g., new_PropertyAddress__c for real-estate address fields). Custom columns must be created in the target Dynamics environment before the migration validates field existence.
Fello
Custom Property (Company-level)
Microsoft Dynamics 365 Sales
Custom column on Account
1:1Fello company-level custom fields such as mls_number and listing_status map to custom columns on the Dynamics 365 Sales Account table. Unlimited custom columns are available in Enterprise licensing, making it ideal for complex data structures. However, the Professional tier limits custom columns to 15 per table, so it is important to plan your field mapping carefully to avoid exceeding this limitation during migration.
Fello
Engagement Log (email, call, meeting, note)
Microsoft Dynamics 365 Sales
Activity (Email, Phone Call, Appointment, Note)
1:1Fello engagement logs map to the corresponding Dynamics 365 Sales activity entities. Email activities become Email (activitypointer) records; calls become PhoneCall; meetings become Appointment; notes become Note. Original timestamps and owner links are preserved via custom datetime columns since Dynamics 365 sets CreatedOn at insert time.
Fello
Automation / Workflow Rule
Microsoft Dynamics 365 Sales
Power Automate flow (must be rebuilt)
1:1Fello automation rules (trigger conditions, drip sequences, outreach triggers) do not migrate to Dynamics 365 Sales. We export each automation definition as a JSON reference document and deliver it to your Dynamics admin so Power Automate flows can be rebuilt using the original Fello logic as a specification. This is the most time-intensive part of any Fello migration.
Fello
Fello Integration / CRM Sync Log
Microsoft Dynamics 365 Sales
Custom column on Contact or Note
1:1Fello sync logs and plugin-state flags (e.g., last_sync_timestamp, enrichment_source) have no Dynamics 365 Sales equivalent. We preserve these as custom columns on the Contact record (e.g., Fello_SyncTimestamp__c) for audit purposes, but they do not drive any Dynamics behavior after migration.
Fello
Fello Brand / Settings
Microsoft Dynamics 365 Sales
No migration — manual reconfiguration
1:1Fello-branded email templates, consent language, and TCPA proof-of-consent records are Fello-native constructs. Dynamics 365 Sales does not have a comparable consent-tracking model. We export consent records as a CSV for manual re-entry into Dynamics consent fields or Power Automate tracking.
Fello
Fello Owner / User
Microsoft Dynamics 365 Sales
SystemUser (resolved by email)
1:1Fello owner IDs are resolved to Dynamics 365 Sales SystemUser records by email match. If a Fello owner has no corresponding Dynamics user, their records are assigned to a fallback owner specified in the migration plan. Owner history (who owned a contact historically) is preserved in a custom lookup column on the Contact record.
Fello
Fello Tag / Segment
Microsoft Dynamics 365 Sales
Custom column or Marketing List membership
1:1Fello contact tags and segments have no direct Dynamics 365 Sales equivalent. We migrate each tag as a separate custom column on the Contact record (e.g., new_FelloTag_MLS_Seller__c as a two-option field) so reporting can filter on the original Fello segmentation after migration.
| Fello | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Lead (if Fello has a lead concept) | Lead1:1 | Fully supported | |
| AI Lead Score (contact property) | Custom column on Contact1:1 | Fully supported | |
| Custom Property (Contact-level) | Custom column on Contact1:1 | Fully supported | |
| Custom Property (Company-level) | Custom column on Account1:1 | Fully supported | |
| Engagement Log (email, call, meeting, note) | Activity (Email, Phone Call, Appointment, Note)1:1 | Fully supported | |
| Automation / Workflow Rule | Power Automate flow (must be rebuilt)1:1 | Fully supported | |
| Fello Integration / CRM Sync Log | Custom column on Contact or Note1:1 | Fully supported | |
| Fello Brand / Settings | No migration — manual reconfiguration1:1 | Fully supported | |
| Fello Owner / User | SystemUser (resolved by email)1:1 | Fully supported | |
| Fello Tag / Segment | Custom column or Marketing List membership1:1 | 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.
Fello gotchas
No public API — all data export is CSV only
Automation workflows must be manually rebuilt
Contact export requires filtering before export job
Lead score is Fello-computed and proprietary
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Discover Fello schema and map to Dynamics 365 Sales table structure
FlitStack AI connects to Fello via read-only API access and extracts the full schema: all contact properties, company properties, engagement log fields, custom properties, and automation definitions. We cross-reference the Fello schema against your Dynamics 365 Sales environment (using the Dataverse table metadata API) to identify custom columns that must be created in your target environment before data lands. The output is a migration plan document specifying which tables load first, which custom columns need to be created, and the order of dependency (accounts before contacts, contacts before activities).
Resolve owners and create required custom columns in Dynamics 365 Sales
Fello owner IDs are resolved against your Dynamics 365 Sales user list by email match — this is the only reliable cross-system identifier for record ownership. Contacts and accounts with unmatched owners are flagged and assigned to a fallback owner you designate. In parallel, FlitStack creates all required custom columns (Fello_LeadScore__c, Fello_SourceID__c, custom property fields, original-timestamp fields) on the Contact and Account tables via the Dataverse Web API, with field-level security configured to match your Dynamics role model.
Export Fello data and run type-aware field transformations
Fello contact records, company records, lead records, and engagement logs are extracted via Fello's export API. Each field is transformed according to the mapping table: standard fields map directly, custom properties map to their new_ custom columns, option-set values are translated using the pre-audited value-mapping table, and timestamp fields are written to the original-creation custom datetime columns. The result is a set of Dataverse-compatible JSON payloads ready for bulk upsert. Fello automation definitions are exported as a separate JSON reference file for Power Automate rebuild work.
Run sample migration with field-level diff against Dynamics 365 Sales
A representative slice — typically 200–500 records spanning contacts, accounts, leads, and activity logs — is migrated first into a Dynamics 365 Sales sandbox or staging environment. FlitStack generates a field-level diff report comparing every migrated value against its source Fello counterpart. You review the diff to verify lead-score mapping, option-set value mapping, owner resolution, and date-preservation logic before the full run commits. Any mapping corrections are applied to the transformation pipeline before proceeding.
Execute full migration with delta-pickup window and audit logging
The full Fello dataset is upserted into Dynamics 365 Sales using the Dataverse bulk-operation endpoint with batch sizing tuned to your API quota. A delta-pickup window — typically 24–48 hours from go-live — captures any new records or modifications made in Fello during the cutover. Every upsert operation is logged to an audit table within Dynamics 365 Sales. If reconciliation identifies data integrity issues, FlitStack AI provides a one-click rollback that removes migrated records and re-activates the Fello source without data loss.
Platform deep dives
Fello
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Fello and Microsoft Dynamics 365 Sales .
Object compatibility
All 8 core objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .
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
Fello: Not publicly published..
Data volume sensitivity
Fello 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 Fello to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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