CRM migration
Field-level mapping, validation, and rollback between Klipy CRM and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Klipy CRM
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 8
objects map 1:1 between Klipy CRM and Microsoft Dynamics 365 Sales .
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from Klipy CRM to Microsoft Microsoft Dynamics 365 Sales is a structural migration from an email-first AI tool to an enterprise-grade CRM. Klipy auto-creates Contacts from Gmail and Microsoft email history using the email address as the primary key, with a fixed pipeline stage set that cannot be renamed or extended. We migrate those Contacts 1:1 to Dynamics 365 Contacts, map Companies to Accounts, and resolve Deal-to-Opportunity associations with the stage count preserved as-is. The first scoping gate for this pair is confirming whether Klipy exposes any export mechanism — the platform lacks a publicly documented API, so if the only export path is manual CSV, we plan a staged manual extraction with deduplication before any API-driven destination load. We do not migrate Workflows, Sequences, automations, or email sending configurations from either platform because these are either not part of Klipy's data model or are not represented as code in Microsoft Dynamics 365 Sales .
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
Klipy CRM platform overview
Scorecard, SWOT, gotchas, and pricing for Klipy CRM.
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 Klipy CRM 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.
Klipy CRM
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Klipy Contacts are auto-created from Gmail/Microsoft email history with email address as the primary identifier. We migrate them 1:1 to Dynamics 365 Contact using email address as the dedupe key. Name normalization is applied because auto-imported contacts may have slight variations (John Smith vs [email protected]) from thread-level capture. We run email-based deduplication during staging, flagging potential duplicates for customer review before final import. Any Klipy custom fields detected during scoping are mapped to typed Dynamics 365 Contact fields or custom fields created in the destination org.
Klipy CRM
Company
Microsoft Dynamics 365 Sales
Account
1:1Klipy Companies are linked to Contacts via company name or domain matching. We map them 1:1 to Dynamics 365 Account, creating the Account record before Contact import so that the parent AccountId Lookup is satisfied at insert time. Domain normalization is applied to the Website field since auto-imported company data may have inconsistent domain formats from email thread metadata. If the same company appears under multiple name variants in Klipy, we consolidate to the primary Account using a canonical name chosen during scoping.
Klipy CRM
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Klipy Deals are created from email threads and linked to Contacts and Companies. We map them to Dynamics 365 Opportunity with deal name, estimated value, stage, and creation date preserved. The pipeline is fixed in Klipy — we map the existing stages verbatim to Dynamics 365 Opportunity stage values. If Klipy's stage count differs from the destination's default stage set, we add or collapse stages in Dynamics 365 to match the source count before migration begins. Owner resolution uses email-based User lookup against the destination org.
Klipy CRM
Pipeline Stages
Microsoft Dynamics 365 Sales
Opportunity Stages
lossyKlipy's pipeline stages cannot be renamed or extended. We map the existing stage names and probabilities verbatim to Dynamics 365 Opportunity Stage values and corresponding probability percentages. The Dynamics 365 stage set is pre-built in a Sandbox org to match the Klipy stage count and order, with stage names preserved exactly as they appear in Klipy. Stage-level security and sales process scoping are configured post-migration by the customer's admin if multiple sales processes are needed.
Klipy CRM
Activity (Email, Call, Meeting, LinkedIn, WhatsApp, Telegram)
Microsoft Dynamics 365 Sales
EmailMessage, Task, Event
1:1Klipy captures multi-channel Activities (email, calls, meetings, LinkedIn, WhatsApp, Telegram) that trigger AI follow-up drafting. We migrate activity type, timestamp, and linked Contact. Email activities map to Dynamics 365 EmailMessage records linked to Tasks on the Contact timeline. Calls map to Task with TaskSubtype=Call and CallDuration preserved in a custom field. Meetings map to Event with StartDateTime and EndDateTime preserved. LinkedIn, WhatsApp, and Telegram interactions map to Task records with a custom channel field because Dynamics 365 does not have native social channel objects. Full message content and attachment URLs migrate where the platform API supports them.
Klipy CRM
Note (AI-generated and manual)
Microsoft Dynamics 365 Sales
Note
1:1Klipy Notes store AI-generated follow-up drafts and manual annotations linked to Contacts or Deals. We migrate note content, timestamp, and linked Contact or Deal. AI draft metadata is preserved as a custom note property (ai_generated__c) in the destination so that the customer can identify AI-suggested content versus manually authored notes. Notes attach to Dynamics 365 Contact, Account, or Opportunity via the Regarding field. If the customer used Klipy's AI draft approval workflow, the note status (draft vs approved) is preserved in a custom field.
Klipy CRM
Tag
Microsoft Dynamics 365 Sales
Custom Field (Text or Multi-Select Picklist)
lossyKlipy Tags label Contacts and Deals for segmentation. We preserve tag names and reapply them to destination records. Tag migration strategy is chosen during scoping: for sparse tag sets (under 50 unique tags), we use a text field on Contact with comma-separated values; for richer segmentation, we use a multi-select picklist. If the customer uses Microsoft Dynamics 365 Sales Enterprise or Premium, we can create a dedicated Tag entity with a many-to-many relationship to Contact and Opportunity via a junction table. Tag deduplication is applied during staging to merge tag variations.
Klipy CRM
Attachment
Microsoft Dynamics 365 Sales
Annotation / SharePoint File
1:1Attachments linked to Deals or Activities in Klipy are migrated as file references or binary transfers to Dynamics 365. We verify attachment integrity post-migration and flag any files that exceed Dynamics 365 attachment size limits (currently 131,072 KB per file for annotations). If the destination org uses SharePoint for document management (common in Microsoft 365-integrated deployments), we migrate attachments to SharePoint document libraries linked via the Regarding field on the Opportunity or Contact. The customer confirms the preferred attachment storage strategy during scoping.
| Klipy CRM | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stages | Opportunity Stageslossy | Not supported | |
| Activity (Email, Call, Meeting, LinkedIn, WhatsApp, Telegram) | EmailMessage, Task, Event1:1 | Fully supported | |
| Note (AI-generated and manual) | Note1:1 | Fully supported | |
| Tag | Custom Field (Text or Multi-Select Picklist)lossy | Fully supported | |
| Attachment | Annotation / SharePoint File1:1 | 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.
Klipy CRM gotchas
No public API documentation confirmed
Pipeline stages are fixed and cannot be renamed
No native email sending means sequences do not migrate
Contact data originates from email sync, not manual entry
Slow load times with large datasets reported in G2 reviews
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
API discovery and export path confirmation
We probe Klipy directly during the first scoping session to confirm whether any export mechanism exists — an undocumented API endpoint, a CSV export function, a data dump tool, or manual screen-scrape. If Klipy exposes no machine-readable export, we plan a staged manual extraction: CSV download of Contacts, Companies, Deals, Activities, and Notes with a deduplication pass applied before any destination load. The export path is a hard gate — scoping cannot proceed to schema design until this is resolved because it determines whether the migration is API-driven or file-based.
Data profiling and deduplication design
We profile the extracted data for record counts, duplicate density, custom field presence, and activity volume. Email-based deduplication rules are designed against the actual Klipy dataset: we normalize email addresses, flag name variations on the same email domain, and identify company name variants that should consolidate to a single Account. The profiling output is a written data quality report delivered to the customer before transformation begins. Any data cleansing decisions (archive stale records, drop test entries, merge duplicates) require customer sign-off before we proceed.
Dynamics 365 schema pre-configuration in Sandbox
We pre-build the destination schema in a Dynamics 365 Sandbox org before any production migration. This includes provisioning custom fields on Contact and Opportunity to receive Klipy data that has no direct standard field equivalent, configuring Opportunity stages to match the Klipy stage count and names, setting up the activity channel custom field for non-native social and messaging interactions, and configuring any required security roles or field-level security for the migration user. Schema validation happens in Sandbox with a sample data load before production migration begins.
Owner and user reconciliation
We extract every distinct Owner referenced on Klipy Contact, Company, Deal, and Activity records and match by email address against the Microsoft Dynamics 365 Sales User table. Owners without a matching User go to a reconciliation queue. The customer's Dynamics 365 admin provisions any missing Users before record import resumes. Owner resolution is a dependency gate — Opportunity and Contact records cannot be imported with OwnerId unresolved because Dynamics 365 enforces referential integrity on the OwnerId field for standard objects.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Klipy Companies), Contacts (with AccountId resolved and deduplication applied), Opportunities (with AccountId, OwnerId, and Stage resolved), Activity history (Tasks, Events, EmailMessages via Dynamics 365 Bulk API with chunking and parent-record lookup), Notes (with Regarding resolved to Contact, Account, or Opportunity), Tags (as configured field type), and Attachments (as annotations or SharePoint files). Each phase emits a row-count reconciliation report before the next phase begins. If Klipy requires manual CSV export, each phase runs after each export batch completes.
Cutover, validation, and automation inventory handoff
We freeze Klipy writes during cutover and run a final delta migration of any records modified during the migration window. We validate record counts, spot-check 25-50 records against the Klipy source for field accuracy, and deliver a written migration summary report. We do not migrate Klipy's AI follow-up drafts as automations — these are note content, not workflow logic. We deliver a written inventory of any workflow or sequence logic the customer identifies in the source system, with a note that Klipy's lack of native email sending means most outreach sequences were managed outside the platform. Microsoft Dynamics 365 Sales workflow rebuilds (Power Automate, Dynamics workflows) are documented for the customer's admin to configure post-migration.
Platform deep dives
Klipy CRM
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Klipy CRM and Microsoft Dynamics 365 Sales .
Object compatibility
5 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
Klipy CRM: Not publicly documented.
Data volume sensitivity
Klipy CRM 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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