CRM migration

Migrate from Convertkit to Microsoft Dynamics 365 Sales

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 logo

Convertkit

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

92%

11 of 12

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

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Convertkit logo

Convertkit

What's pushing teams away

  • September 2025 price increases raised Creator plan costs significantly, with some creators reporting bills tripled at the same subscriber count.
  • Kit's branding on landing pages, emails, and product pages remains until manually toggled off on paid tiers, which creators find unprofessional for paid product sales.
  • Free tier allows no A/B testing and restricts users to one account and basic templates, pushing creators toward upgrades for features that competitors include on lower plans.
  • Export functionality on lower tiers is limited, with some creators reporting difficulty accessing their data when evaluating departures.
  • Sequences and automations cannot be exported in a machine-readable format, requiring complete manual rebuild on the destination platform.

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 Convertkit objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Lead / Contact

1:many
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Custom Field (multiselect) / Topic / Interest

1:1
Fully supported

ConvertKit'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

maps to

Microsoft Dynamics 365 Sales

Custom Column on Lead/Contact

1:1
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Lead (via form submission context)

1:1
Fully supported

ConvertKit 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)

maps to

Microsoft Dynamics 365 Sales

Custom Product Entity in Dataverse

1:1
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Custom Purchase Entity (linked to Product + Contact)

1:1
Fully supported

ConvertKit 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)

maps to

Microsoft Dynamics 365 Sales

No equivalent

1:1
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Power Automate Flow / Dynamics Automation Rule

1:1
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Email Address field on Lead/Contact

1:1
Fully supported

The 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

maps to

Microsoft Dynamics 365 Sales

First Name / Last Name on Lead/Contact

1:1
Fully supported

ConvertKit 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

maps to

Microsoft Dynamics 365 Sales

Custom Original_Subscribe_Date__c field

1:1
Fully supported

Dynamics 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

maps to

Microsoft Dynamics 365 Sales

Custom Source_System_ID__c field

1:1
Fully supported

Each 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.

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.

Convertkit logo

Convertkit gotchas

High

Sequences export as content only, not logic

High

Free tier has no bulk export capability

Medium

Custom fields require recreation before import

Medium

Kit branding persists until toggled off

Medium

Subscriber count billing is real-time

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

  • Email sequences have no Dynamics 365 equivalent and must be rebuilt

    ConvertKit sequences are time-triggered email drip series that define subscriber journeys — a trigger event, configurable delay between steps, and email content per step. Microsoft Dynamics 365 Sales has no native sequence or drip-campaign feature at the CRM level. The closest tools are Power Automate flows (for cloud-based email triggers via the Dataverse connector) or Dynamics 365 Sales automation rules (which support basic field updates and task creation but not time-delayed email sends). We export your sequence definitions — step order, delays, conditions, and email body — as a structured JSON and markdown document so your Dynamics admin can rebuild them in Power Automate with the Send an email (V2) action and Delay actions. This is a manual rebuild step that typically adds 1–3 days of configuration work per sequence.

  • Tag-to-interest mapping requires a design decision before migration

    ConvertKit's N:N tag model lets a subscriber hold an unlimited number of tags — a subscriber can simultaneously have 'Blog Reader', 'Product Buyer', 'Webinar Attendee', and 'Churned 2024'. Microsoft Dynamics 365 Sales has no native multiselect field that handles N:N relationships at the contact level without performance degradation. The two viable approaches are: (1) a multiselect custom field on Lead/Contact that supports up to 15 tag values (recommended for audiences with moderate tag use), or (2) a Topic/Interest entity in Dataverse with a junction table — the same pattern Dynamics uses for marketing interests in Customer Insights. We cannot choose this for you because the right approach depends on how your sales team queries the data. We surface the trade-off in the migration plan and let you decide before we commit the mapping.

  • ConvertKit subscriber-based pricing does not translate to Dynamics per-user licensing

    ConvertKit bills based on the total number of active subscribers in your account — the per-subscriber cost decreases as your list grows, and you pay the same regardless of how many team members access the platform. Microsoft Dynamics 365 Sales uses per-user, per-month licensing — Sales Professional is $65/user/month and Sales Enterprise is $105/user/month. If you have a 50,000-subscriber ConvertKit account used by 3 team members, your Dynamics 365 cost will be $195–$315/month for 3 users regardless of audience size. The economics shift significantly once your audience grows past the point where ConvertKit's subscriber pricing exceeds Dynamics per-user costs. We include a licensing cost comparison in the pre-migration estimate so you can model the break-even point.

  • ConvertKit has no Account/Company object — inferred relationships require post-migration cleanup

    Dynamics 365 Sales organizes its data model around Accounts (companies) and Contacts (individuals at those companies) with a required AccountId lookup on Contact records. ConvertKit stores no company data — subscriber profiles contain only individual names and email addresses, with optional custom fields for company name. We infer Accounts from email domains ([email protected] → Account: acme.com) and create the AccountId linkage for each Contact. However, domain-inferred Accounts are often generic (gmail.com, yahoo.com) or misspellings that need manual cleanup after migration. We flag domain-inferred Accounts in the migration report with a custom field (Account_Inferred_From_Domain__c) set to true so your admin can review and merge duplicates before go-live.

  • ConvertKit's 140 custom field limit means large audiences often hit schema constraints in Dynamics

    ConvertKit allows a maximum of 140 custom fields per account. For creators with complex audience profiling — combining purchase history fields, preference fields, UTM source tracking, and engagement scores — this limit is often already reached. Microsoft Dynamics 365 Sales (Dataverse) has no practical limit on custom columns, but the migration must map all 140 fields individually. Fields with no Dynamics equivalent (e.g., ConvertKit-specific concepts like 'SparkLoop referral count') must become custom fields with no functional purpose in Dynamics, which adds clutter. We flag any custom field in ConvertKit that has no logical mapping target in Dynamics and document it as a 'reference-only' field in the migration plan.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Convertkit logo

Convertkit

Source

Strengths

  • Unlimited email sends across all paid tiers regardless of list size.
  • Generous free tier supporting up to 10,000 subscribers with core features.
  • Free migration assistance from competitor platforms on Creator and Creator Pro plans.
  • Tag-based segmentation is intuitive for creators managing audience organization.
  • Clear subscriber-count pricing model without per-email or per-send charges.

Weaknesses

  • September 2025 price increases significantly raised costs at same subscriber counts.
  • Sequences and automations cannot be exported in a machine-readable format.
  • Kit branding on emails and landing pages requires manual toggle on paid tiers.
  • Custom fields limited to 140 per account, which may constrain complex data collection.
  • Free tier has no A/B testing and is restricted to a single user account.
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 Convertkit 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

    Convertkit: Not publicly documented; varies by account tier.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Convertkit 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 Convertkit to Microsoft Dynamics 365 Sales data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most ConvertKit to Dynamics 365 migrations complete in 48–72 hours of clock time for under 50,000 subscribers. Larger datasets with 250,000+ subscribers or complex tag-to-interest mapping extend to 7–10 days. The longest phase is typically the schema design and tag-mapping decision step — the actual data migration is usually faster than the planning phase because ConvertKit's API is straightforward. Post-migration Power Automate rebuild for sequences is a separate effort that adds 1–5 days depending on the number of sequences.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Convertkit.
Land in Microsoft Dynamics 365 Sales , intact.

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