CRM migration

Migrate from CRM Runner to Pipedrive

Field-level mapping, validation, and rollback between CRM Runner and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

CRM Runner logo

CRM Runner

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

64%

7 of 11

objects map 1:1 between CRM Runner and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

CRM Runner logo

CRM Runner

What's pushing teams away

  • Setup requires significant configuration time — the platform's broad feature set means more decisions to make before data is usable.
  • Reviews mention the learning curve for configuring workflows and permissions, particularly for teams without a dedicated admin.
  • Limited documentation and API visibility make it harder for technical teams to extend or integrate the platform beyond its built-in options.
  • As the business scales beyond 20–30 users, the fixed-seat model becomes less competitive versus CRMs with volume discounts or tier-based feature gating.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How CRM Runner objects map to Pipedrive

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

maps to

Pipedrive

Person

1:1
Fully supported

CRM 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

maps to

Pipedrive

Organization

1:1
Fully supported

CRM 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

maps to

Pipedrive

Deal

1:many
Fully supported

CRM 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

maps to

Pipedrive

User

1:1
Fully supported

CRM 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

maps to

Pipedrive

Task

1:1
Fully supported

CRM 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)

maps to

Pipedrive

Activity (Call)

1:1
Fully supported

CRM 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)

maps to

Pipedrive

Activity (Note/Activity)

lossy
Fully supported

CRM 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

maps to

Pipedrive

(No direct equivalent — separate export)

1:1
Mapping required

CRM 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

maps to

Pipedrive

(No direct equivalent — separate export)

1:1
Mapping required

CRM 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)

maps to

Pipedrive

Custom Fields

lossy
Mapping required

CRM 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

maps to

Pipedrive

Pipeline

lossy
Fully supported

CRM 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.

Gotchas + challenges

What specifically takes care here

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 logo

CRM Runner gotchas

High

No free trial and immediate billing on subscription

High

No publicly documented API or export endpoints

Medium

IFTTT automations must be manually rebuilt post-migration

Medium

Time entries and payment data require separate export treatment

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • No API or bulk export endpoint in CRM Runner

    CRM Runner exposes no publicly documented API, developer portal, or bulk export endpoint. All data extraction requires UI-based methods during scoping and migration, which is slower than API-based migration on the source side. This adds 3-5 business days to discovery and extraction compared to platforms with documented APIs. We account for this in the migration timeline and price the scope accordingly. The customer should ensure UI access is available throughout the migration engagement and that any data accessed via screen-scrape methods is confirmed as accurate against the source UI.

  • Jobs map to Deals but lose field-service semantics

    CRM Runner Jobs carry field-service data — GPS location, assigned crew, service type, job-specific notes — that has no native equivalent in Pipedrive's Deal model. We map these to Deal notes, custom fields, and activity-linked notes, but the resulting Deal record is structurally different from the CRM Runner Job. Teams that rely on CRM Runner's job scheduling, dispatch board, or GPS tracking features should treat the CRM migration as a data migration only and plan separately for the operational workflow of field-service scheduling. Pipedrive's Projects module (add-on on Growth and above) can partially replicate job tracking but requires manual configuration post-migration.

  • IFTTT automations do not migrate — manual rebuild required

    CRM Runner's automation triggers (if-this-then-that rule logic) have no documented export format and cannot be migrated programmatically. We document every identified automation during discovery as a written specification — trigger type, conditions, and actions — and deliver this as a handoff document for the customer's Pipedrive admin to rebuild in Pipedrive's workflow automation builder. This is a post-migration implementation step not included in the standard migration timeline and is scoped separately.

  • Time entries and payment data export separately and require a paired destination

    CRM Runner embeds time-clock records and payment transactions within Jobs and Team Members rather than exposing them as standalone exportable objects. We extract them as separate CSV packages during migration, but they do not map to standard Pipedrive CRM objects and are best migrated to a dedicated payroll or accounting tool. The CRM migration deliverable includes these CSVs with a reconciliation guide; the customer should plan a paired migration to their accounting platform (QuickBooks, Xero, or similar) to complete the data story.

  • Pipedrive custom field limits and type constraints

    Pipedrive enforces limits on custom field types and the total number of custom fields per object (varies by plan). CRM Runner custom field definitions extracted during scoping must be validated against Pipedrive's supported field types before migration. We create the destination custom fields in a Pipedrive sandbox or trial account during scoping to validate type compatibility and flag any CRM Runner field types (e.g., multi-select, formula fields, or conditional fields) that Pipedrive cannot represent natively. These are documented for manual remediation before production migration.

Migration approach

Six steps for a successful CRM Runner to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

CRM Runner logo

CRM Runner

Source

Strengths

  • Fixed 10-user base price simplifies budgeting for small teams versus per-seat scaling.
  • All-in-one platform consolidates field service, CRM, communications, and payments under one vendor relationship.
  • Built-in VoIP and SMS keep communication history attached to contact records without third-party integration.
  • GPS tracking and time-clock features are included for field-workforce management without add-on costs.
  • Online booking generates leads directly into the CRM pipeline, reducing manual entry friction.

Weaknesses

  • No publicly documented API limits or endpoints, making programmatic migration and ongoing integration speculative.
  • IFTTT-style automations are not exportable or migratable — all workflow logic must be manually rebuilt in the destination.
  • Setup and configuration complexity is a recurring theme in reviews, suggesting the platform rewards careful initial planning.
  • No free tier and no trial period — billing starts immediately upon subscription, increasing commitment risk.
  • Custom field and pipeline configuration lacks the flexibility of established CRMs like HubSpot or Salesforce.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across CRM Runner and Pipedrive.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    CRM Runner: Not publicly documented.

  • Data volume sensitivity

    B

    CRM Runner doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your CRM Runner to Pipedrive migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about CRM Runner to Pipedrive data migrations

Answers to the questions buyers ask most during CRM Runner to Pipedrive migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 10,000 Contacts, 3,000 Jobs, and straightforward custom field sets. The absence of a CRM Runner API increases extraction time compared to API-based migrations, which is why the lower bound is 3 weeks rather than 2. Migrations with large communication histories (over 100,000 activity records), multiple CRM Runner pipelines, extensive custom field sets, or multi-job structures requiring Deal split decisions move to six to ten weeks. Pipedrive plan tier selection (Lite through Ultimate) does not affect migration timeline but affects available custom field types and activity features.

Adjacent paths

Related migrations to explore

Ready when you are

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