CRM migration

Migrate from Fello to Microsoft Dynamics 365 Sales

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 logo

Fello

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

12 of 12

objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

3–5 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Fello logo

Fello

What's pushing teams away

  • Some agents outgrow Fello once their team scales beyond 10 seats, finding the platform better suited to individual agents and small teams than to larger brokerages.
  • The platform is narrowly scoped to real estate agent database prospecting, so teams seeking broader marketing automation or CRM capabilities eventually migrate to all-in-one platforms like HubSpot.
  • A subset of users find the lead score confidence misleading when high-scored contacts do not convert to listings, raising questions about the accuracy of the AI prioritization model.

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 Fello objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Fello 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

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Fello 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)

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

Fello 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)

maps to

Microsoft Dynamics 365 Sales

Custom column on Contact

1:1
Fully supported

Fello'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)

maps to

Microsoft Dynamics 365 Sales

Custom column on Contact

1:1
Fully supported

Every 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)

maps to

Microsoft Dynamics 365 Sales

Custom column on Account

1:1
Fully supported

Fello 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)

maps to

Microsoft Dynamics 365 Sales

Activity (Email, Phone Call, Appointment, Note)

1:1
Fully supported

Fello 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

maps to

Microsoft Dynamics 365 Sales

Power Automate flow (must be rebuilt)

1:1
Fully supported

Fello 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

maps to

Microsoft Dynamics 365 Sales

Custom column on Contact or Note

1:1
Fully supported

Fello 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

maps to

Microsoft Dynamics 365 Sales

No migration — manual reconfiguration

1:1
Fully supported

Fello-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

maps to

Microsoft Dynamics 365 Sales

SystemUser (resolved by email)

1:1
Fully supported

Fello 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

maps to

Microsoft Dynamics 365 Sales

Custom column or Marketing List membership

1:1
Fully supported

Fello 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.

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.

Fello logo

Fello gotchas

High

No public API — all data export is CSV only

Medium

Automation workflows must be manually rebuilt

Low

Contact export requires filtering before export job

Medium

Lead score is Fello-computed and proprietary

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

  • Fello automations have no direct Dynamics 365 Sales equivalent and must be rebuilt in Power Automate

    Fello's outreach sequences, drip triggers, and contact-enrollment automations are stored as Fello-native rules with conditions, delays, and action steps that are not exported in a standard data extract. Dynamics 365 Sales has no automation engine built into the CRM itself — automated flows run in Power Automate, which is a separate product with its own trigger-action model. We export each Fello automation definition as a structured JSON reference document so your Dynamics admin can rebuild the logic step-by-step in Power Automate. This is the highest-effort part of any Fello migration and should begin during the data-migration window rather than after.

  • Fello's AI lead score is a contact property, not a native Dynamics 365 Sales field — it requires a custom column before migration validates

    Dynamics 365 Sales has no native equivalent to Fello's 0–100 AI lead score. Before the migration runs, a custom number column (new_felloleadscore) must be created on the Contact table in your Dynamics 365 Sales Enterprise environment. Professional-tier licenses limit custom columns to 15 per table, which can be exhausted quickly if Fello contacts carry many custom properties. Verify your Dynamics license tier before migration planning begins. If Professional is in use, our team identifies which custom properties to prioritize for migration and which to defer to post-migration.

  • Option-set value mapping must be explicit — Dynamics 365 Sales uses integer option values, not display labels

    Fello pick-list fields store display labels (e.g., 'Pre-Market', 'Active Listing', 'Under Contract'). Dynamics 365 Sales stores option-set values as integer IDs in the database, not display strings. If the integer values do not align between the Fello export and the Dynamics option-set definition, records will land with the wrong status. We perform a pre-migration value audit comparing Fello's export schema against the Dynamics target schema and generate a value-mapping table before any records are loaded. Any mismatch triggers a FlitStack customer decision before the migration run.

  • Dynamics 365 Sales API enforces request quotas per user per day — large migrations require batch sizing discipline

    Microsoft Power Platform applies Dataverse API request limits that vary by license type and tenant allocation. A migration that attempts to upsert 50,000 contact records in a single batch without respecting these quotas will receive HTTP 429 throttling responses, which can stall or roll back a migration run. FlitStack AI uses the Dataverse bulk-operation endpoint with configurable batch sizes and exponential backoff on throttling responses. We size batches based on your tenant's documented API allocation and monitor quota consumption throughout the run.

  • Fello TCPA consent records must be re-entered in Dynamics 365 Sales — there is no native compliance model

    Fello stores TCPA consent proofs (when a contact opted in, which form captured the consent, and the IP address at time of submission) as part of its CRM compliance workflow. Dynamics 365 Sales has no native TCPA or consent-tracking model built into the Contact record — this is a gap in the platform that requires a custom field or a Power Automate flow to replicate. We migrate the Fello consent timestamp and capture method as custom columns on the Contact record, but the consent itself must be re-verified or re-documented in a compliance-appropriate tool post-migration for jurisdictions where TCPA rules apply.

Migration approach

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

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Fello logo

Fello

Source

Strengths

  • Generates seller leads from existing CRM contacts using AI scoring rather than requiring new lead acquisition.
  • Built-in TCPA compliance for automated calling and texting reduces legal exposure for real estate agents.
  • Seamless CRM integration layer means agents do not abandon their existing contact management workflow.
  • High G2 rating (4.9/5) with 94% five-star reviews reflecting strong user satisfaction and ease of use.
  • Two-week guided onboarding with a dedicated advisor reduces time from signup to first pipeline activity.

Weaknesses

  • No public API documentation found; all data export is CSV-based and requires manual download or export-job download link processing.
  • Automation workflows cannot be transferred programmatically and must be manually rebuilt at the destination, per Fello's own support documentation.
  • Narrowly scoped to real estate agent use cases; teams in other verticals have no path forward within the platform.
  • Platform functions as a CRM overlay, so it has no value without an existing populated CRM database to enrich.
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. All 8 core objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Fello and Microsoft Dynamics 365 Sales .

  • Object compatibility

    A

    All 8 core objects map 1:1 between Fello and Microsoft Dynamics 365 Sales .

  • 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

    Fello: Not publicly published..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fello 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 Fello to Microsoft Dynamics 365 Sales data migrations

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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Most Fello-to-Dynamics 365 Sales migrations run 3–5 days of clock time for under 25,000 contact records. Migration timelines extend to 2–4 weeks for datasets exceeding 200,000 records, large volumes of custom properties per contact, or multiple engagement-log tables. The longest planning step is the automation audit — rebuilding Fello drip sequences and outreach triggers in Power Automate is a separate workstream that runs in parallel with data migration but is not included in the data-migration timeline.

Adjacent paths

Related migrations to explore

Ready when you are

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