CRM migration
Field-level mapping, validation, and rollback between Concord CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Concord CRM
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between Concord CRM and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Concord CRM to Pipedrive is a move from a self-hosted one-time-license platform to a cloud-native SaaS CRM with per-user pricing. Concord stores data around Contacts, Companies, Deals, Products, and Activities with full CSV/XLS/XLSX export and REST API access. Pipedrive organizes data around People, Organizations, Deals, Products, and Activities using a visual pipeline interface that treats Deals as the central record. We export Concord's Companies first (because Contacts reference company_id as a foreign key), then Contacts with their resolved organization associations, then Deals with stage name mapping to Pipedrive pipeline stages, and finally Activities linked back to the parent resource. Concord workflows, attachments, and server-level configurations do not migrate because they cannot execute or resolve during data import; we deliver a written inventory of every active Concord workflow for the customer's admin to rebuild in Pipedrive's Automation feature 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 Concord 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.
Concord CRM
Company
Pipedrive
Organization
1:1Concord CRM Company records map directly to Pipedrive Organization. The Concord company name becomes the Organization name field. We export Companies first in the migration sequence because Concord Contacts reference company_id as a foreign key; resolving that lookup before Contact import prevents orphaned organization associations. Website, industry, phone, and address fields map to their Pipedrive Organization equivalents. Multiple Concord Companies per customer domain are flagged for deduplication review during scoping.
Concord CRM
Contact
Pipedrive
Person
1:1Concord CRM Contact records map to Pipedrive Person. We resolve the Concord company_id to the corresponding Pipedrive Organization id using the pre-exported company mapping table. Name, email, phone, job title, tags, and custom fields migrate directly. Concord's contact_type or tags field maps to Pipedrive Person label or the label API endpoint. Any Contact without a matching Organization is linked to a default organization or held in a reconciliation queue for the customer's admin to resolve.
Concord CRM
Deal
Pipedrive
Deal
1:1Concord CRM Deals map to Pipedrive Deals with pipeline and stage name reconciliation. Concord's deal stage names (e.g. Prospecting, Qualification, Proposal) must map to the target Pipedrive pipeline's stage labels. We configure the Pipedrive pipeline and stages before migration so that the stage name mapping is deterministic at import time. Deal value, expected close date, owner (by email resolution to Pipedrive User), and custom fields migrate directly.
Concord CRM
Deal Stage
Pipedrive
Pipeline Stage
lossyConcord's pipeline stages are stored as deal properties and export as stage names. We pre-create a Pipedrive pipeline matching the Concord stage sequence and configure each stage with the correct name and probability percentage. If the customer uses multiple Concord pipelines, we create corresponding Pipedrive pipelines and assign the correct pipeline to each Deal during import using the pipeline_id field.
Concord CRM
Pipeline
Pipedrive
Pipeline
lossyConcord supports multiple deal pipelines. We map each Concord pipeline to a Pipedrive pipeline with matching stage sequence and probability assumptions. Pipedrive's visual pipeline interface and drag-to-move deal cards replace Concord's table-based deal view. Pipeline configuration happens before any Deal data is imported to ensure all Deals land in the correct pipeline.
Concord CRM
Product
Pipedrive
Product
1:1Concord CRM Products (name, price, SKU, description) map to Pipedrive Products. Product items can be linked to Deals in Pipedrive as line items. We export Concord Products before Deals so that product references resolve at Deal import time. Products without a Deals association migrate as standalone product catalog entries.
Concord CRM
Activity
Pipedrive
Activity
1:1Concord CRM Activities (calls, meetings, tasks, notes) map to Pipedrive Activities with the type field determining the Pipedrive activity_type (call, meeting, task, note). We reconstruct the association back to the parent resource using Concord's resource_type and resource_id fields, mapping to the corresponding Pipedrive Person, Organization, or Deal. Activity date and notes migrate directly. Large activity histories (over 50,000 records) are chunked and sequenced with rate-limit handling against Pipedrive's API.
Concord CRM
Custom Field
Pipedrive
Custom Field
lossyConcord CRM custom fields are fully accessible via API using field UUID as the key in request payloads. Boolean, date, select, text, and number field types have different payload formats that we transform to Pipedrive field types during import. We pre-create all custom fields in Pipedrive before migration begins, matching field labels and selecting the equivalent Pipedrive field type. Multi-select fields in Concord become multi-select picklist or checkbox fields in Pipedrive.
Concord CRM
User
Pipedrive
User
1:1Concord CRM Users export via API with email, name, and role data. We resolve each Concord user by email to the corresponding Pipedrive User. Any Concord user without a matching Pipedrive User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on Deals, Contacts, and Activities resolve through this User mapping.
Concord CRM
Tag
Pipedrive
Label
1:1Concord CRM tags on Contacts, Companies, and Deals map to Pipedrive Labels. Tags export as comma-separated or multi-checkbox values and are split into individual Pipedrive Labels at import time. Labels are applied to the corresponding Person, Organization, or Deal record. Concord's tags used for segmentation or reporting are preserved as Pipedrive Labels for equivalent filtering.
| Concord CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Company | Organization1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Deal Stage | Pipeline Stagelossy | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Tag | Label1:1 | 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.
Concord CRM gotchas
Workflows do not fire during data import
Self-hosted data export requires role permission
API pagination cap at 100 records per page
Domain transfer requires full server migration
CSRF headers cause API auth failures
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 permission confirmation
We audit the Concord CRM installation across record counts (Contacts, Companies, Deals, Products, Activities), active workflows, custom field inventory, and pipeline configuration. We confirm that the API token user has export and API permissions in Concord's role settings before we begin data extraction. We pair this with Pipedrive plan selection guidance: Essential ($14/user/mo) covers single-pipeline migrations; Advanced ($29/user/mo) adds multi-pipeline support and custom fields; Professional ($49/user/mo) adds the full automation builder. The discovery output is a written migration scope document.
Schema design and pipeline configuration in Pipedrive
We pre-create the Pipedrive pipeline and stages to match Concord's deal stage names before any data is imported. We create all custom fields in Pipedrive using types mapped from Concord (text, number, date, checkbox, dropdown). Tags from Concord are pre-created as Pipedrive Labels. This phase runs in a staging Pipedrive account first so the customer can review field placement and pipeline layout before production migration begins.
Relational export sequencing from Concord
We export Concord data in dependency order: Companies first (because Contacts reference company_id), then Contacts with resolved organization associations, then Deals, then Products, then Activities with parent-resource linkage reconstructed from resource_type and resource_id. Concord's maximum 100 records per page on API endpoints requires sequential page iteration for large datasets, monitored by rate-limit headers to avoid triggering 429 responses. Custom fields are extracted via API using field UUID as the key, with type-specific payload handling for boolean, date, select, text, and number formats.
Sandbox migration and reconciliation
We run a full migration into a staging Pipedrive account using production-equivalent data volume. The customer's team lead reviews record counts (Organizations in, People in, Deals in, Activities in), spot-checks 20-30 records against the Concord source, and approves the mapping before production migration begins. This step catches field type mismatches, missing stage configurations, and orphaned Contact-Organization associations before they affect production data.
Production migration in dependency order
We run production migration in record-dependency order: Organizations (from Concord Companies), People (with Organization id resolved from the company mapping), Deals (with Pipeline and Stage resolved and Owner id resolved via User email lookup), Products, and Activities (with parent-resource linkage to Person, Organization, or Deal). Each phase emits a row-count reconciliation report before the next phase begins. Activity migration uses chunked API ingestion with exponential backoff on rate-limit responses.
Cutover, validation, and workflow handoff
We freeze Concord write access during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We deliver the Concord workflow inventory document to the customer's admin team with a Pipedrive Automation rebuild guide for each workflow. We support a five-day hypercare window where we resolve any data reconciliation issues raised by the team. We do not rebuild Concord workflows as Pipedrive automations inside the migration scope; that is a separate engagement.
Platform deep dives
Concord 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 Concord 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
Concord CRM: Per-minute limits documented in X-RateLimit-Limit and X-RateLimit-Remaining response headers; exact values vary and are not publicly specified.
Data volume sensitivity
Concord 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.
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FAQ
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