CRM migration
Field-level mapping, validation, and rollback between Contlo and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Contlo
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 8
objects map 1:1 between Contlo and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Contlo to Microsoft Microsoft Dynamics 365 Sales is a platform-type migration: Contlo is an AI-native marketing automation platform centered on customer contacts, behavioral segments, and campaign automations; Microsoft Dynamics 365 Sales is a full CRM built around the Lead-to-Account-to-Contact-to-Opportunity object model with pipeline management, forecasting, and native Microsoft 365 integration. We map Contlo Contacts to Dynamics 365 Leads or Contacts depending on qualification state, preserve segment membership as tags on the Contact record, and reconstruct campaign engagement history as Activity records. The Brand AI Model, automations, and Voice Agents do not migrate; we deliver a written inventory of every automation requiring rebuild in Microsoft Dynamics 365 Sales Workflow or Power Automate. The native Microsoft integration advantage (Teams, Outlook, SharePoint, Power BI) is a destination capability the customer enables post-migration.
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
Contlo platform overview
Scorecard, SWOT, gotchas, and pricing for Contlo.
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 Contlo 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.
Contlo
Contact
Microsoft Dynamics 365 Sales
Lead or Contact (split based on qualification)
1:manyContlo Contacts map to Microsoft Dynamics 365 Sales Lead for unqualified records and Contact for qualified records attached to an Account. We assess the contact's lifecycle state, engagement score, and purchase history to determine the split. Contacts with purchase history or high engagement scores map to Contact under an Account; all others map to Lead. The original Contlo contact score and segment membership persist as custom fields (contlo_score__c, contlo_segments__c) on both Lead and Contact for audit and rebuild use.
Contlo
Company
Microsoft Dynamics 365 Sales
Account
1:1Contlo Company records map directly to Microsoft Dynamics 365 Sales Account. The Company domain and address fields translate to Account Website and Address fields. Account serves as the parent of any Contact records that map to it. We deduplicate by Company domain name during import and flag any Company records without a domain for manual review.
Contlo
Segment
Microsoft Dynamics 365 Sales
Tag (custom field on Contact/Lead)
lossyContlo behavioral segments are preserved as pipe-delimited tags in a custom text field contlo_segments__c on Contact and Lead. Segment rules (AND/OR filter conditions) are documented in a separate segment-mapping worksheet so the customer's admin can rebuild equivalent segments in Microsoft Dynamics 365 Sales using Advanced Find queries or Power Automate flows. Native Dynamics 365 Marketing segments (if the customer licenses that module) are documented as a future-state option.
Contlo
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Contlo Deals map to Microsoft Dynamics 365 Sales Opportunity. Deal stage maps to Opportunity StageName; Deal amount maps to EstimatedRevenue. If the Contlo Deal has an associated Company, we resolve that as AccountId on the Opportunity at migration time. Closed-won Deals become Closed Won Opportunities; closed-lost Deals become Closed Lost with a Loss Reason populated from Contlo custom fields if available.
Contlo
Campaign (Email/SMS)
Microsoft Dynamics 365 Sales
Campaign + CampaignMember
1:1Contlo campaigns with template content and delivery history map to Microsoft Dynamics 365 Sales Campaign records. Campaign Member status (Sent, Delivered, Opened, Clicked) migrates as CampaignMember records linked to the relevant Leads and Contacts. Template content (subject lines, body HTML) is preserved in a Notes attachment on the Campaign record so the customer's admin can reference it when rebuilding in Dynamics 365 Marketing or a third-party email tool.
Contlo
Engagement: Email
Microsoft Dynamics 365 Sales
Email (EmailMessage) + Activity (Task)
1:1Contlo email engagement records migrate to Microsoft Dynamics 365 Sales EmailMessage (the email content) linked to a related record (Lead, Contact, or Account) with an Activity Task for the timeline. Open and click event data from Contlo are stored as custom fields on the EmailMessage record because Microsoft Dynamics 365 Sales does not natively track engagement micro-events at the email level. The original timestamps are preserved in the ActivityDate field.
Contlo
Engagement: Call
Microsoft Dynamics 365 Sales
Phone Call Activity (Task with CallDirection)
1:1Contlo call engagements map to Microsoft Dynamics 365 Sales Task with Subject indicating Call, TaskType or custom call fields capturing direction (inbound/outbound), duration, and disposition. Call recording URLs stored as custom fields on the Task if the customer wants to preserve links. Original call timestamps map to ActivityDate.
Contlo
Custom Properties
Microsoft Dynamics 365 Sales
Custom Fields (custom属性的)
1:1Contlo custom fields on Contacts and Companies migrate to custom fields on Microsoft Dynamics 365 Sales Contact, Lead, and Account. Field types are mapped: text to Text, number to Whole Number or Decimal, date to Date, checkbox to Two Options. Picklist values from Contlo migrate to Option Sets in Dynamics 365 with the original labels preserved. If a custom field has no direct Dynamics 365 equivalent, we store the value as a JSON blob in a catch-all text field and document the mapping for the customer's admin to split out post-migration.
| Contlo | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split based on qualification)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Segment | Tag (custom field on Contact/Lead)lossy | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Campaign (Email/SMS) | Campaign + CampaignMember1:1 | Fully supported | |
| Engagement: Email | Email (EmailMessage) + Activity (Task)1:1 | Fully supported | |
| Engagement: Call | Phone Call Activity (Task with CallDirection)1:1 | Fully supported | |
| Custom Properties | Custom Fields (custom属性的)1:1 | Mapping required |
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.
Contlo gotchas
Free tier enforces 'Powered by Contlo' branding
Contact volume limits are tier-gated
Brand AI Model is non-portable
Automation branching logic may not translate 1:1
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
Discovery and scope definition
We audit the source Contlo account across plan tier, total contacts, companies, deals, campaigns, segments, active automations, and engagement volume. We assess which Microsoft Dynamics 365 Sales edition (Essentials, Professional, Premium, Relationship Sales) the customer targets based on required objects (Leads, Opportunities, Quotes, Products) and any Power Platform add-ons. The discovery output is a written migration scope that lists all migratable objects, all non-migratable artifacts (Brand AI Model, automations), and the segment rebuild inventory.
Schema design and Lead-Contact split rule
We design the Microsoft Dynamics 365 Sales target schema. This includes creating custom fields on Lead, Contact, and Account (contlo_score__c, contlo_segments__c, contlo_original_id__c), configuring Option Sets for any Contlo picklist values, setting up the Account-Contact relationship hierarchy, and defining the Lead-Contact split rule based on the customer's qualification criteria. If the customer uses Dynamics 365 Marketing, we also design the segment mapping for that module. Schema is validated in a Dynamics 365 Sandbox before production.
Data extraction and transformation
We extract all records from Contlo via its export APIs and CSV templates. We transform each record according to the mapping rules: Contacts split to Lead or Contact, Companies to Account, Deals to Opportunity, Segments to tags, Engagements to Activity records. We run a transformation dry-run in a staging environment and surface any data quality issues (missing email, orphaned contacts, invalid picklist values) for the customer's team to correct before production migration.
Sandbox migration and reconciliation
We run a full migration into a Microsoft Dynamics 365 Sales Sandbox using production-like data volume. The customer reconciles record counts, spot-checks 20-30 records against the Contlo source, and validates that segment tags, engagement timestamps, and custom field values are present and accurate. Any mapping corrections are applied to the production migration script before the go-live window. This step typically takes one to two weeks including customer review cycles.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Contlo Companies), Contacts and Leads (with the qualification split applied and AccountId resolved for Contacts), Opportunities (with AccountId and EstimatedRevenue resolved), Campaign records (with template content preserved), Activity history (EmailMessage, Tasks for calls and notes via Dynamics 365 API with chunking). Each phase emits a reconciliation row-count report before the next phase begins. We coordinate with the customer's Dynamics 365 admin to temporarily bypass validation rules that could reject records on import.
Cutover, validation, and automation rebuild handoff
We freeze Contlo writes during cutover and run a final delta migration of any records modified during the migration window. We enable Microsoft Dynamics 365 Sales as the system of record and deliver the automation inventory and segment mapping worksheet to the customer's admin team. We provide a one-week hypercare window to resolve any reconciliation issues. We do not rebuild Contlo automations as Microsoft Dynamics 365 Sales Workflows or Power Automate flows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Contlo
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Contlo and Microsoft Dynamics 365 Sales .
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Contlo and Microsoft Dynamics 365 Sales .
Object compatibility
All 8 core objects map 1:1 between Contlo 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
Contlo: Not publicly documented.
Data volume sensitivity
Contlo 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
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