CRM migration
Field-level mapping, validation, and rollback between CRM Runner and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
CRM Runner
Source
Pipedrive
Destination
Compatibility
7 of 11
objects map 1:1 between CRM Runner and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
CRM Runner is a field-service and office-management CRM with built-in VoIP, SMS, dispatch, and job scheduling. Pipedrive is a sales-focused pipeline CRM with a well-documented REST API and a per-seat pricing model. The migration is defined by three structural differences: CRM Runner has no documented API, so we use UI-based data extraction rather than programmatic export; CRM Runner's Jobs (work orders with assigned team members, locations, and embedded time entries) map conceptually to Pipedrive Deals with additional notes and custom fields carrying the job-specific data; and CRM Runner's IFTTT-style automations have no migration path and must be rebuilt in Pipedrive's workflow automation builder. We export time-clock records and payment data as separate CSV packages because neither maps cleanly to a standard Pipedrive object. Pipedrive's custom fields, pipelines, and activity types accept the migrated data once the schema is configured to match CRM Runner's custom field definitions.
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 CRM Runner 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.
CRM Runner
Contact
Pipedrive
Person
1:1CRM Runner Contacts map directly to Pipedrive People. We extract name, email, phone, address, and all custom field values during UI-based scoping and map them to Pipedrive Person fields using exact field-name matching where available and custom field mapping where CRM Runner uses non-standard field names. The Person's organization_id is resolved post-import by matching the CRM Runner contact's linked Company name to the Pipedrive Organization name.
CRM Runner
Company
Pipedrive
Organization
1:1CRM Runner Company records map to Pipedrive Organizations. The company name becomes the Organization name field and serves as the dedupe key during import. We preserve any CRM Runner custom fields on the company record as Pipedrive custom fields on Organization, using the CRM Runner field label as the Pipedrive field name for consistency.
CRM Runner
Job
Pipedrive
Deal
1:manyCRM Runner Jobs (work orders with status, assigned team members, location, and embedded time entries) map to Pipedrive Deals as the primary pipeline object. The job title becomes the Deal title, job status maps to a Pipedrive pipeline stage, and the assigned team member becomes the Deal owner resolved via email match to Pipedrive User. Job-specific data — service type, location address, and job notes — migrate as Deal notes and custom fields. Because a single CRM Runner Job may represent work spanning multiple Pipedrive Deals (for multi-phase service agreements), we flag any such Jobs during scoping for the customer to confirm split strategy before import.
CRM Runner
Team Member
Pipedrive
User
1:1CRM Runner Team Members map to Pipedrive Users by email match. Role and department from CRM Runner become a custom field on the Pipedrive User record. Permission levels do not map automatically — we flag the CRM Runner admin and standard-user permission distinctions and deliver a written mapping table for the customer's Pipedrive admin to configure role-based access control manually post-migration.
CRM Runner
Task
Pipedrive
Task
1:1CRM Runner Tasks map directly to Pipedrive Tasks with due date, assignee (resolved via email match to Pipedrive User), status, and priority preserved. CRM Runner task content migrates as the Pipedrive Task subject and notes field. Completed and open task counts are reconciled against the source before production migration.
CRM Runner
Communications (Calls)
Pipedrive
Activity (Call)
1:1CRM Runner call records (duration, disposition, recording URL if stored) map to Pipedrive Activity records of type call, linked to the associated Person (contact) and Organization. Call logs that reference a specific Job inherit the Deal created from that Job. We preserve the call timestamp as the Activity date for timeline ordering.
CRM Runner
Communications (SMS)
Pipedrive
Activity (Note/Activity)
lossyCRM Runner SMS threads are extracted as Activity records with type note or a custom activity type depending on the customer's Pipedrive plan. The SMS body becomes the activity content, linked to the associated Person and Organization. We flag any SMS threads that reference a Job and document the association for manual linking to the migrated Deal during post-migration review.
CRM Runner
Time Entries
Pipedrive
(No direct equivalent — separate export)
1:1CRM Runner time-clock records (clock-in, clock-out, hours worked, tied to Team Members and Jobs) have no standard Pipedrive CRM equivalent. We export these as a separate CSV package with Team Member name, Job title, date, clock-in, clock-out, and hours worked columns. The customer should route this data to a payroll or accounting tool rather than the CRM. We flag this clearly in the migration scope and recommend a paired payroll migration if the time data is business-critical.
CRM Runner
Payments/Transactions
Pipedrive
(No direct equivalent — separate export)
1:1CRM Runner payment records embedded within Jobs (transaction amount, status, payment method) do not map cleanly to any Pipedrive standard object. We export payment data as a separate financial CSV package linked to the corresponding Job ID so it can be reconciled against the migrated Deal record. The customer should migrate this data to an accounting tool (QuickBooks, Xero, or similar) rather than the CRM.
CRM Runner
Custom Fields (Contacts, Companies, Jobs)
Pipedrive
Custom Fields
lossyCRM Runner custom field definitions on Contacts, Companies, and Jobs are extracted during scoping as a named field list with type and options. We create matching Pipedrive custom fields on the corresponding objects (Person, Organization, Deal) before migration, preserving field type where possible (text, number, date, dropdown). Any CRM Runner dropdown fields with options become Pipedrive drop-down custom fields with the same options list.
CRM Runner
Pipeline
Pipedrive
Pipeline
lossyCRM Runner pipeline stage names and order map to Pipedrive Pipeline stages. Stage probability percentages from CRM Runner migrate to Pipedrive stage probability values. If CRM Runner has multiple pipelines (multiple sales or service lines), we create corresponding Pipedrive Pipelines and map each CRM Runner pipeline to its Pipedrive equivalent during scoping.
| CRM Runner | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Job | Deal1:many | Fully supported | |
| Team Member | User1:1 | Fully supported | |
| Task | Task1:1 | Fully supported | |
| Communications (Calls) | Activity (Call)1:1 | Fully supported | |
| Communications (SMS) | Activity (Note/Activity)lossy | Fully supported | |
| Time Entries | (No direct equivalent — separate export)1:1 | Mapping required | |
| Payments/Transactions | (No direct equivalent — separate export)1:1 | Mapping required | |
| Custom Fields (Contacts, Companies, Jobs) | Custom Fieldslossy | Mapping required | |
| Pipeline | Pipelinelossy | 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.
CRM Runner gotchas
No free trial and immediate billing on subscription
No publicly documented API or export endpoints
IFTTT automations must be manually rebuilt post-migration
Time entries and payment data require separate export treatment
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 UI-based extraction scoping
We audit CRM Runner's data structure through UI-based extraction methods given the absence of a documented API. We catalogue all Contacts, Companies, Jobs, Team Members, Tasks, communication records, custom field definitions, pipeline stages, and identified automations. We also extract time-clock records and payment data as separate packages during this phase. The discovery output is a written migration scope document with object counts, custom field inventory, and a preliminary Pipedrive schema plan aligned to the customer's chosen Pipedrive plan tier.
Pipedrive schema configuration
We configure the destination Pipedrive account in parallel with data extraction. This includes creating Pipedrive Pipelines and Stages to match CRM Runner pipeline structure, creating custom fields on Person, Organization, and Deal objects to match CRM Runner custom field definitions, provisioning Pipedrive Users for each CRM Runner Team Member (matched by email), and setting up activity types for Calls, Emails, and Meetings. Pipedrive is configured in a trial or sandbox environment first and validated against the extracted data before production setup begins.
Data cleaning and field mapping
We clean the extracted CRM Runner data before Pipedrive import. This includes deduplication of Contacts and Companies (matched by email and name), resolution of Job-to-Deal associations (including any multi-Job scenarios flagged for split), resolution of Team Member email addresses to Pipedrive User IDs, and mapping of CRM Runner pipeline stages to Pipedrive stage values. Any data quality issues (missing required fields, invalid email formats, orphaned records) are documented in a pre-import discrepancy report for the customer to review and resolve before production migration.
Test migration to Pipedrive trial
We run a full test migration into the configured Pipedrive trial account using production-like data volume. The customer's lead reviews record counts (People in, Organizations in, Deals in, Activities in), spot-checks 20-30 random records against the CRM Runner source, and validates that custom fields are populated correctly on the migrated records. Any field mapping corrections, stage alignment issues, or custom field type changes are resolved in this phase before production migration begins. Owner reconciliation — matching CRM Runner Team Members to Pipedrive Users by email — is validated and any unresolved owners are escalated at this stage.
Production migration in dependency order
We execute production migration in record-dependency order: Organizations (from CRM Runner Companies), People (with OrganizationId resolved), Deals (from CRM Runner Jobs with OwnerId and Pipeline/StageId resolved), Users (validated provisioning), Tasks, Activity records (Calls, Emails, Notes via Pipedrive API with batch chunking). Each phase emits a row-count reconciliation report before the next phase begins. We freeze CRM Runner data entry during the final delta window and run a final delta migration of any records created or modified during the production migration window.
Cutover, validation, and automation handoff
We enable Pipedrive as the system of record on cutover day, deliver the full reconciliation report comparing CRM Runner record counts to Pipedrive record counts, and hand off the automation inventory document to the customer's Pipedrive admin for manual rebuild. We support a 5-business-day hypercare window where we resolve any data discrepancies identified by the customer's team. We do not rebuild CRM Runner automations as Pipedrive workflow rules inside the migration scope; that work is documented and delivered as a separate rebuild guide.
Platform deep dives
CRM Runner
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 CRM Runner 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
CRM Runner: Not publicly documented.
Data volume sensitivity
CRM Runner 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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