CRM migration
Field-level mapping, validation, and rollback between Bolten CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Bolten CRM
Source
Pipedrive
Destination
Compatibility
8 of 11
objects map 1:1 between Bolten CRM and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Bolten CRM to Pipedrive is a migration from a white-label reseller model with Project-based billing to a per-seat sales CRM with an AWS-backed infrastructure and over 100,000 company customers. Bolten's strength is its WhatsApp-first native integration and Project-centric workspace model; Pipedrive's strength is its mature sales pipeline UI, documented REST API, and the Import2 integration ecosystem. We resolve the structural differences up front: Bolten's free-text Kanban stage names get explicit ordinal positions written to Pipedrive's Stage object before any Deal import, Bolten's AI-autofill field values are migrated as confirmed final values (not suggestion logs), and Bolten's per-Project billing context is translated into a per-user seat count against Pipedrive's pricing tiers. WhatsApp message history does not migrate because it lives on Meta's servers; we preserve contact phone numbers and conversation timestamps as Activity records. Workflows, AI agent rules, and Conversion tracking configurations do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Pipedrive or evaluate via Pipedrive's automation tools.
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 Bolten CRM 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.
Bolten CRM
Contact
Pipedrive
Person
1:1Bolten Contact records map directly to Pipedrive Person. Name, phone, email, and address fields migrate 1:1. Custom properties on the contact migrate to Pipedrive custom fields on Person, with type conversion applied (Bolten multi-select maps to Pipedrive multi-select picklist, date to date field, etc.). Tags on Bolten contacts migrate to Pipedrive labels on the Person record.
Bolten CRM
Lead
Pipedrive
Lead
1:1Bolten Lead records map to Pipedrive Lead with lifecycle status, source campaign attribution, and owner assignment preserved. Bolten's lead origin tracking (Google Ads, Meta Ads, direct) migrates to Pipedrive Lead custom fields for attribution reporting. Owner mapping resolves by email match against Pipedrive users.
Bolten CRM
Deal (Kanban Pipeline)
Pipedrive
Deal
1:1Bolten Deals map to Pipedrive Deals with pipeline stage names and values. Critical: Bolten allows free-text stage names with no enforced ordering in the API. We capture the customer-confirmed stage ordinal sequence during pre-migration mapping and write explicit stage order to Pipedrive's pipeline stages before Deal import. Probability percentages migrate from Bolten stage settings to Pipedrive stage probability.
Bolten CRM
Pipeline / Funnel
Pipedrive
Pipeline
lossyEach Bolten Project's Kanban funnel becomes a Pipedrive Pipeline. We configure stage names, stage order, and probability percentages in Pipedrive before Deals import. If multiple Bolten Projects contain Deals, we create separate Pipedrive Pipelines (or separate Pipedrive accounts if the business logic requires full workspace separation) based on the customer's scoping choice.
Bolten CRM
Task
Pipedrive
Task
1:1Bolten Tasks migrate to Pipedrive Tasks with assignee, due date, status, and linked contact or deal association preserved. Task linkage to Bolten contacts and deals is resolved via external ID mapping during Pipedrive import. Recurring task rules do not transfer; we flag them in the migration inventory for manual rebuild.
Bolten CRM
Activity (Audit Log)
Pipedrive
Activity / Note
1:1Bolten's change-audit log (every record edit, assignment change, and stage move) migrates as chronological Note records attached to the relevant Person, Lead, Deal, or Organization in Pipedrive. Each Note records the timestamp, operator, and change description from Bolten. The audit trail is preserved as a historical reference feed rather than a structured activity log.
Bolten CRM
Custom Fields
Pipedrive
Custom Fields
lossyBolten custom fields (text, number, date, dropdown, multi-select) map to Pipedrive custom fields of the corresponding type on the relevant entity. Pipedrive does not allow field type changes after creation: if a Bolten text field contains numeric data but was typed as text, we preserve it as a text field in Pipedrive rather than attempting type conversion. Customers choosing to consolidate similar fields into formula fields handle that as a post-migration configuration step.
Bolten CRM
Conversions (Lead Attribution)
Pipedrive
Activities / Custom Fields
lossyBolten's Conversion tracking (utm-source, utm-medium, conversion events, campaign attribution) migrates to Pipedrive as custom fields on the Lead and Person records. Pipedrive does not have a native conversion attribution model; UTM values and campaign source data are stored as text fields for reporting in Pipedrive's Insights module or exported to a BI tool.
Bolten CRM
User / Assignee
Pipedrive
User
1:1Bolten Users map to Pipedrive Users by email match. We extract every distinct user referenced on Contacts, Leads, Deals, and Tasks and reconcile against the destination Pipedrive account's user list. Suspended or inactive Bolten users are flagged for remapping to active destination users or archived status in Pipedrive.
Bolten CRM
Tags
Pipedrive
Labels
1:1Bolten flat-label tags applied to contacts and deals migrate to Pipedrive Labels on the Person, Lead, and Deal records. Tag sets are preserved as a flat list; Pipedrive Labels do not support hierarchical tag structures. If a customer used Bolten tags as a pseudo-category system, we advise on label group strategy during scoping.
Bolten CRM
Organizations
Pipedrive
Organization
1:1Bolten does not have a dedicated Organization/Company object. If the customer's workflow uses Bolten contacts to represent both individuals and companies (common in simpler CRM setups), we split them during migration: company-level data migrates to Pipedrive Organization, individual contact data migrates to Pipedrive Person linked to the Organization. The customer confirms the split logic during scoping.
| Bolten CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal (Kanban Pipeline) | Deal1:1 | Fully supported | |
| Pipeline / Funnel | Pipelinelossy | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Activity (Audit Log) | Activity / Note1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Conversions (Lead Attribution) | Activities / Custom Fieldslossy | Mapping required | |
| User / Assignee | User1:1 | Fully supported | |
| Tags | Labels1:1 | Fully supported | |
| Organizations | Organization1:1 | 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.
Bolten CRM gotchas
Per-Project billing does not scale like per-seat models
WhatsApp message history lives on Meta's infrastructure
Kanban stage names are free-text, not schema-enumerated
AI autofill data may not reflect corrected final field values
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 export
We audit the source Bolten CRM account across all active Projects, listing Contacts, Leads, Deals, Tasks, custom field configurations, stage names, and user count. We profile data quality: duplicate email addresses, missing required fields, and fields with mixed formats that may cause Pipedrive validation failures. We also confirm which Projects are active versus archived so the customer can exclude legacy client data they no longer need. The discovery output is a written migration scope with record counts per Project and a list of fields requiring type mapping decisions.
Stage ordinal mapping and pipeline design
We send the customer a stage-order confirmation worksheet listing every Kanban stage name per Bolten Project with a request to assign ordinal positions (1, 2, 3...). We design Pipedrive Pipelines with matching stage names, ordered correctly, with probability percentages from the Bolten stage settings. If multiple Projects require separate Pipedrive Pipelines, we configure each one before any Deal import begins. Pipeline design is validated in a pre-migration review call before production migration starts.
Schema preparation and owner reconciliation
We pre-create custom fields in Pipedrive matching Bolten's custom field schema, using the confirmed field types. We extract every distinct Bolten user email and match against the destination Pipedrive account's user list. Users without a Pipedrive account are listed for the customer's admin to provision before record import. Custom fields that cannot be typed exactly (due to Pipedrive's type-lock constraint) are flagged with the recommended post-migration workaround.
Production migration in dependency order
We run production migration in record-dependency order: Pipedrive Users validated first, then Organizations (if split from contacts), People, Leads, Deals (with stage ordinal resolved), Tasks, Activity audit logs (as Note records), and custom field data. Each phase emits a row-count reconciliation report. Bolten's activity audit log migrates as chronological Note records attached to the relevant parent record. WhatsApp metadata (phone numbers, timestamps) migrates as Activity records.
Cutover, validation, and handoff
We freeze writes to Bolten during cutover, run a final delta migration of any records modified during the migration window, then confirm Pipedrive as the system of record. We validate record counts, spot-check 20-30 records for field accuracy, and confirm stage ordering on a sample of Deals. We deliver a written migration inventory listing all migrated objects, record counts, any fields that could not migrate due to type constraints, and a list of Bolten workflows, AI agent rules, and Conversion tracking configurations requiring rebuild in Pipedrive.
Platform deep dives
Bolten CRM
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 Bolten CRM 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
Bolten CRM: Not publicly documented.
Data volume sensitivity
Bolten 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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