CRM migration
Field-level mapping, validation, and rollback between Convertkit and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Convertkit
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
11 of 12
objects map 1:1 between Convertkit and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
48–72 hours
Overview
ConvertKit and Dynamics 365 Sales are fundamentally different tools serving different markets — ConvertKit targets creators and newsletter publishers who need simple audience management, while Dynamics 365 Sales is an enterprise CRM built around lead management, opportunity pipelines, and sales process automation. The migration carries everything ConvertKit stores natively — subscribers with their custom field values, tag assignments, form submissions, and product purchase history — into Dynamics 365's Lead and Contact entities, with tag assignments translated into either custom fields or interest/topic records that sales reps can use for segmentation. The core challenge is structural: ConvertKit operates at the subscriber level with flat audience lists and tag-based segmentation, while Dynamics 365 Sales uses a relational model with Leads, Contacts, Accounts, and Opportunities linked by lookup fields. Email sequences, automation rules, and broadcast schedules in ConvertKit have no direct equivalent in Dynamics 365 — they must be rebuilt using Power Automate flows or Dynamics 365 Sales automation rules. We extract data via ConvertKit's REST API v3, transform subscriber records into Lead and Contact schema, apply field-level value mapping for tags and custom fields, then load into Dynamics 365 using the Dataverse Web API. A sample migration runs first with field-level diff so you can verify tag-to-interest mapping before the full run commits.
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
Convertkit platform overview
Scorecard, SWOT, gotchas, and pricing for Convertkit.
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 Convertkit 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.
Convertkit
Subscriber
Microsoft Dynamics 365 Sales
Lead / Contact
1:manyConvertKit subscribers map to Dynamics 365 Leads by default. If a subscriber has a product purchase record in ConvertKit, they route to Contact and link to an Account — indicating a paying customer rather than a prospect. The split logic is configurable based on your sales process.
Convertkit
Tag
Microsoft Dynamics 365 Sales
Custom Field (multiselect) / Topic / Interest
1:1ConvertKit's N:N tag model does not map directly to any single Dynamics field. We offer two approaches: (1) map tags to a multiselect custom field on the Lead/Contact record, or (2) create a Topic or Interest entity in Dataverse and build a junction table linking subscribers to interests. Choice depends on how your sales team uses segmentation.
Convertkit
Custom Field
Microsoft Dynamics 365 Sales
Custom Column on Lead/Contact
1:1ConvertKit custom fields map 1:1 to Dataverse columns on the Lead and Contact tables. ConvertKit's field types (text, number, date, checkbox, select) translate to corresponding Dataverse column types. Field labels and keys are preserved; API names follow Dataverse naming conventions (no spaces, alphanumeric).
Convertkit
Form
Microsoft Dynamics 365 Sales
Lead (via form submission context)
1:1ConvertKit forms capture subscriber data at the point of opt-in. We map form submissions to Lead records, preserving the form ID and submission timestamp as custom fields so your team can trace which form generated each lead. The Dynamics form itself must be recreated in the Dynamics lead capture UI.
Convertkit
Product (digital goods)
Microsoft Dynamics 365 Sales
Custom Product Entity in Dataverse
1:1ConvertKit products have no native equivalent in Dynamics 365 Sales — there is no product catalog entity at the CRM level. We create a custom Products table in Dataverse linked to Contacts via a purchase history junction entity, so product purchase records are searchable and reportable in Dynamics.
Convertkit
Purchase / Transaction
Microsoft Dynamics 365 Sales
Custom Purchase Entity (linked to Product + Contact)
1:1ConvertKit purchase records include product name, amount, date, and subscriber. We map these to a custom Purchase entity in Dataverse linked to the Contact record (via CustomerId) and the custom Product entity, preserving the original purchase amount, currency, and timestamp for revenue attribution.
Convertkit
Broadcast (one-time email)
Microsoft Dynamics 365 Sales
No equivalent
1:1ConvertKit broadcasts are one-time email campaigns sent to segments. Dynamics 365 Sales has no broadcast concept — this is a marketing automation function. We preserve broadcast names, send dates, and open/click metrics as read-only reference fields on the Lead/Contact for audit continuity, but the communication itself is not recreated.
Convertkit
Sequence
Microsoft Dynamics 365 Sales
Power Automate Flow / Dynamics Automation Rule
1:1ConvertKit sequences (time-triggered email drip series) have no direct equivalent in Dynamics 365 Sales. We export the sequence structure — step order, delay times, trigger conditions, and email content — as a rebuild reference document. Your team uses Power Automate or Dynamics Sales automation rules to reconstruct these on the Dynamics side.
Convertkit
Subscriber Email Address
Microsoft Dynamics 365 Sales
Email Address field on Lead/Contact
1:1The primary email address stored on each ConvertKit subscriber record maps directly to the emailaddress1 field on the Dynamics Lead and Contact tables, ensuring email communication continuity. Email opt-in status from ConvertKit — indicating whether the subscriber consented to receive communications — maps to a custom Email_OptIn__c boolean field, preserving compliance status and consent records for GDPR and CAN-SPAM continuity across systems.
Convertkit
Subscriber First Name / Last Name
Microsoft Dynamics 365 Sales
First Name / Last Name on Lead/Contact
1:1ConvertKit stores first name and last name as separate subscriber properties. These map directly to the firstname and lastname fields on Dynamics Lead and Contact. If ConvertKit stores the full name in a single field, we split on the first space by default, with configurable logic for edge cases.
Convertkit
Created Date
Microsoft Dynamics 365 Sales
Custom Original_Subscribe_Date__c field
1:1Dynamics 365 sets the CreatedOn timestamp at migration time, which reflects when the record entered Dynamics rather than when the subscriber originally joined the audience. We preserve the original ConvertKit subscriber creation date as a custom datetime field (Original_Subscribe_Date__c) on the Lead/Contact record so historical reporting accurately reflects the actual audience-building timeline and subscriber tenure from the source system.
Convertkit
ConvertKit Internal ID
Microsoft Dynamics 365 Sales
Custom Source_System_ID__c field
1:1Each ConvertKit subscriber record carries a unique integer identifier assigned by the platform at record creation. We store this original ConvertKit ID as a text field (Source_System_ID__c) on the Dynamics record for full traceability back to the source system, enabling cross-reference during delta synchronization, supporting deduplication logic if the migration is re-run, and maintaining the audit trail linking migrated records to their origin.
| Convertkit | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Subscriber | Lead / Contact1:many | Fully supported | |
| Tag | Custom Field (multiselect) / Topic / Interest1:1 | Fully supported | |
| Custom Field | Custom Column on Lead/Contact1:1 | Fully supported | |
| Form | Lead (via form submission context)1:1 | Fully supported | |
| Product (digital goods) | Custom Product Entity in Dataverse1:1 | Fully supported | |
| Purchase / Transaction | Custom Purchase Entity (linked to Product + Contact)1:1 | Fully supported | |
| Broadcast (one-time email) | No equivalent1:1 | Fully supported | |
| Sequence | Power Automate Flow / Dynamics Automation Rule1:1 | Fully supported | |
| Subscriber Email Address | Email Address field on Lead/Contact1:1 | Fully supported | |
| Subscriber First Name / Last Name | First Name / Last Name on Lead/Contact1:1 | Fully supported | |
| Created Date | Custom Original_Subscribe_Date__c field1:1 | Fully supported | |
| ConvertKit Internal ID | Custom Source_System_ID__c field1:1 | 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.
Convertkit gotchas
Sequences export as content only, not logic
Free tier has no bulk export capability
Custom fields require recreation before import
Kit branding persists until toggled off
Subscriber count billing is real-time
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
Extract ConvertKit data via REST API v3
FlitStack AI authenticates against ConvertKit's REST API v3 using your account API key. We pull all subscribers in paginated batches (default 1,000 records per request) to respect ConvertKit's rate limits, along with all tag assignments (subscriber-to-tag relationships), custom field definitions and values, form records, product records, and purchase history. The extraction runs with scoped read access — your ConvertKit account remains fully operational during the export. We preserve the original creation timestamps, state transitions, and tag assignment dates in the extracted dataset.
Design Dynamics 365 schema and field mapping plan
Before data lands in Dynamics, we design the target schema based on your ConvertKit setup and sales process. We create the custom Products entity (if product purchase data is in scope), the custom Purchase entity with junction links to Contacts and Products, the Original_Subscribe_Date__c and Source_System_ID__c fields on Lead and Contact, and the tag-to-interest mapping configuration (multiselect field or Topics entity). We deliver a schema setup checklist so your Dynamics admin creates the columns and entities before validation runs. This step includes the tag-mapping design decision review with your team.
Run sample migration with field-level diff
A representative slice of 500–1,000 subscribers migrates to Dynamics 365 first, spanning different tag combinations, custom field types, and subscriber states (active, cancelled, bounced). We generate a field-level diff comparing each source record to the destination record, flagging any mapping gaps, truncation, or data loss. You review the diff with our team and approve the mapping logic before the full migration runs. This step is when the tag-to-interest approach is finalized and any ConvertKit-specific field quirks are resolved.
Execute full migration with delta-pickup window
The full subscriber dataset migrates in batches, with Leads created for prospect subscribers and Contacts linked to Accounts for subscribers with purchase history. A delta-pickup window (typically 24–48 hours) runs after the bulk load to capture any new subscribers or tag changes that occurred in ConvertKit during the migration window. All records are audited with the Source_System_ID__c field linking back to ConvertKit for traceability. We validate record counts, tag mapping completeness, and custom field population rates against a pre-defined acceptance threshold before declaring the migration complete.
Deliver rebuild reference for sequences and sequence export document
Once data migration is confirmed, we deliver the sequence rebuild reference document — structured JSON and markdown covering every ConvertKit sequence: step order, delay durations, trigger conditions, and email body content. Your Dynamics admin uses this to rebuild sequences as Power Automate flows or Dynamics automation rules. We also deliver a broadcast history export (names, send dates, open/click rates) as a CSV reference file for any downstream analytics that need the engagement data. Post-migration, we provide a 30-day support window for any record corrections or re-mapping requests.
Platform deep dives
Convertkit
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Convertkit and Microsoft Dynamics 365 Sales .
Object compatibility
1 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
Convertkit: Not publicly documented; varies by account tier.
Data volume sensitivity
Convertkit 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 Convertkit to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
Walk through your Convertkit to Microsoft Dynamics 365 Sales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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