CRM migration
Field-level mapping, validation, and rollback between Levitate and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Levitate
Source
Pipedrive
Destination
Compatibility
6 of 10
objects map 1:1 between Levitate and Pipedrive.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Levitate to Pipedrive requires resolving a fundamental schema shift: Levitate is contact-centric with Tags as the primary segmentation tool, while Pipedrive uses a People-Organizations-Deals model with custom fields for segmentation. We extract Levitate contacts via UI-based CSV export (the only available export path since Levitate has no documented bulk API), preserve Tag assignments during import, and create custom date fields at the destination for Levitate Key Dates before any record data lands. Pipedrive does not support custom objects, so any Levitate data modeled as custom objects must be flattened into Pipedrive's four standard objects (People, Organizations, Deals, Activities) using custom fields. Automations do not migrate; we deliver a complete written inventory of every active Levitate automation with trigger conditions and recommended Pipedrive Workflow Automation equivalents for the customer's admin to rebuild 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.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Levitate object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Levitate
Contact
Pipedrive
Person (People)
1:1Levitate Contact records map to Pipedrive Person. The Levitate contact name, email, phone, company, and address fields map directly to standard Pipedrive Person fields. Custom properties from Levitate migrate as custom fields on Person. We extract via UI-based CSV export (the only available path since Levitate has no bulk API) and import via Pipedrive's CSV wizard or REST API v2. Email serves as the dedupe key; contacts with duplicate emails are flagged for customer review before final import.
Levitate
Company
Pipedrive
Organization
1:1If Levitate contacts have an associated company name, we extract that as a separate Organization record in Pipedrive. Levitate's contact-centric model means company data lives as a property on the Contact; we split it into a normalized Organization record and link via the Person-Organization lookup during import. This preserves the ability to run organization-level reports and aggregate contacts by company in Pipedrive.
Levitate
Tag
Pipedrive
Custom field (multi-value text or multi-select picklist)
lossyLevitate Tags are the primary segmentation mechanism and drive automation triggers. We preserve the full tag taxonomy during migration by creating a custom field in Pipedrive to hold tag values. If a contact has multiple tags, we use a multi-select picklist or comma-delimited text field depending on the Pipedrive plan. Tag counts and tag-based segment membership are preserved so downstream Pipedrive filters and manual segmentation can resume without re-tagging.
Levitate
Key Date
Pipedrive
Custom date field
lossyLevitate Key Dates (birthday, renewal date, policy expiration, custom milestones) are a Levitate-specific date field type that drives date-triggered automations. These must be created as custom date fields in Pipedrive before any contact data is imported. We flag every Key Date field during discovery, confirm the list with the customer, create the corresponding custom date fields in Pipedrive (Settings > Data Management > Custom fields), and map the Levitate values to the new Pipedrive fields during import. Automations that were triggered by Key Dates must be rebuilt in Pipedrive Workflow Automation using different triggers (e.g., scheduled workflow based on date fields rather than Levitate's native date event).
Levitate
Campaign
Pipedrive
Activity log (note-based record)
1:1Levitate Campaigns track email sends to a segment with engagement stats (opens, clicks, replies) aggregated per campaign. Pipedrive does not have a native Campaign object in the same sense. We migrate campaign metadata and aggregate engagement stats as Activity records attached to the relevant Person or Organization, with the campaign name stored as a label. Individual email performance data is not preserved as a discrete object; we deliver a campaign summary document with open/click counts and dates.
Levitate
Automation (server-side workflow)
Pipedrive
Workflow Automation (rebuild required)
lossyLevitate automations are server-side workflow sequences with email steps, delays, conditional branches, and tag actions. The automation logic itself is not exported as portable JSON or via any documented API. Only enrollment state (which contacts are enrolled in which automation) is extractable. We do not migrate automations as code. We deliver a written inventory of every active Levitate automation documenting its trigger, conditions, sequence steps, and tag actions, plus recommended Pipedrive Workflow Automation equivalents. The customer's admin rebuilds each automation in Pipedrive's visual workflow builder using the inventory as a spec.
Levitate
Engagement: Email, Call, Meeting, Task, Note
Pipedrive
Activity (Task, Event)
1:1Levitate engagement history (email logs, call records, meeting notes, tasks) migrates to Pipedrive Activities. Emails and calls become Task records with subtype; meetings become Event records with start/end times; notes become Note records linked to the Person or Organization. We preserve the original timestamp and user attribution from Levitate where available. Pipedrive's API rate limits and per-user export restrictions mean we batch activity imports and run them outside business hours when possible.
Levitate
User (owner)
Pipedrive
User
1:1Levitate user accounts (owner, admin, member roles) are listed for mapping purposes. We match Levitate owner email to the customer's provisioned Pipedrive users. Any Levitate owner without a matching Pipedrive user goes to a reconciliation queue for the customer to provision before record import proceeds. Role and permission definitions are not exportable from Levitate and must be reconfigured in Pipedrive manually.
Levitate
Integration configuration (Clio, Vertafore, AMS360)
Pipedrive
Integration (manual reconnect)
lossyLevitate's industry-specific integrations with practice management systems (Clio for legal, Vertafore/AMS360 for insurance) store OAuth tokens and sync configuration server-side with no export capability. We document the active integrations and their current field mappings as a reference for reconfiguration in Pipedrive. Pipedrive's native integrations and Zapier-based alternatives serve as replacement paths; the customer must re-authorize OAuth connections post-migration.
Levitate
SMS log
Pipedrive
Activity (note-based)
1:1Text message history in Levitate is stored per contact in a thread view but Levitate's export capability for SMS logs is limited. We migrate available SMS logs as Note records attached to the Person record, preserving the message content and timestamp where extractable. Long message threads may be truncated due to UI export limitations. SMS consent records migrate to a custom field for compliance documentation.
| Levitate | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person (People)1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Tag | Custom field (multi-value text or multi-select picklist)lossy | Fully supported | |
| Key Date | Custom date fieldlossy | Fully supported | |
| Campaign | Activity log (note-based record)1:1 | Fully supported | |
| Automation (server-side workflow) | Workflow Automation (rebuild required)lossy | Fully supported | |
| Engagement: Email, Call, Meeting, Task, Note | Activity (Task, Event)1:1 | Fully supported | |
| User (owner) | User1:1 | Fully supported | |
| Integration configuration (Clio, Vertafore, AMS360) | Integration (manual reconnect)lossy | Fully supported | |
| SMS log | Activity (note-based)1:1 | 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.
Levitate gotchas
No public API — automation logic is not exportable
Key Dates are Levitate-specific custom fields
Split billing requires manual credit card management
Flat-rate billing continues until cancelled
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and Levitate export extraction
We audit the Levitate account for contact volume, tag taxonomy (unique tag count and usage distribution), Key Date fields in use, active automations and their enrollment counts, campaign history, user list, and any integration connections. Since Levitate has no bulk API, we extract contact data via the UI-based CSV export and coordinate with Levitate Support to retrieve contact profile notes not available in self-serve export. We document the active automation list directly from the Levitate UI for the automation inventory. The discovery output is a written extraction manifest and a Levitate export checklist for the customer's Levitate account admin to complete.
Schema design and custom field creation in Pipedrive
We design the destination Pipedrive schema based on the Levitate data model. This includes creating custom fields for all Levitate Key Dates (custom date fields), tag-holding fields (custom text or multi-select depending on plan), and any custom properties from Levitate that do not map to standard Pipedrive fields. We configure Pipedrive pipelines and stages before contact import so that if the customer uses Deals in Pipedrive, the stage values are ready. We do not create custom objects (not supported in Pipedrive); any Levitate custom objects are flattened into custom fields on People, Organizations, or Deals. Schema is validated in Pipedrive before any data import begins.
Data cleaning and deduplication
We clean the Levitate export before import. Common issues include duplicate contacts (same email with slight name variations), blank required fields in Pipedrive (Person name, email), inconsistent date formats in Key Date fields, and orphaned company names that should split into Organizations. We run a deduplication pass using email as the primary key and flag remaining duplicates for customer review. We also validate that all Key Date values are in a format Pipedrive accepts (YYYY-MM-DD) and reformat where necessary. Data cleaning typically takes three to five business days depending on record volume and quality.
Sandbox import and reconciliation
We run a test import into a Pipedrive Sandbox or the production org with a subset of records to validate field mapping, custom field creation, tag assignment, and Person-Organization linkage. The customer reconciles record counts, spot-checks twenty to thirty records against the Levitate source data, and confirms that Key Dates landed in the correct custom fields. Any mapping corrections (wrong field type, missed custom field, incorrect tag splitting) happen at this stage. Sandbox import is particularly important for Pipedrive because the platform does not allow bulk re-import of records that already exist in the org without a duplicate check, making corrections in production more costly.
Production import in dependency order
We run production import in record-dependency order: Pipedrive Users (validated from the user reconciliation list), Organizations (from Levitate company data), People (from Levitate contacts with Organization linkage), custom field values (Key Dates, tag fields), Activities (emails, calls, meetings, notes via Pipedrive REST API v2 with batch handling), and campaign summary records. We run imports outside business hours where possible to avoid competing with active users for API rate limits. Each phase emits a row-count reconciliation report before the next phase begins. Any records rejected during import (validation rule failures, missing required fields) are logged and resolved in a correction pass.
Automation inventory handoff and cutover
We deliver the written automation inventory document listing every active Levitate automation with its name, trigger type, conditions, steps, and recommended Pipedrive Workflow Automation equivalent. We freeze Levitate writes during cutover, run a final delta migration of any records modified during the migration window, then hand off to the customer for Pipedrive as the system of record. We support a three-business-day hypercare window to resolve data discrepancies raised by the customer's team post-go-live. We do not rebuild Levitate automations as Pipedrive Workflow Automation within the migration scope; that work is handled by the customer's Pipedrive admin or a Pipedrive automation consultant using the inventory as a spec.
Platform deep dives
Levitate
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Levitate and Pipedrive.
Object compatibility
3 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
Levitate: Not publicly documented.
Data volume sensitivity
Levitate 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
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