HRMS migration

Migrate from PCRecruiter to Crelate

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

PCRecruiter logo

PCRecruiter

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between PCRecruiter and Crelate.

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from PCRecruiter to Crelate is a structural migration, not a record copy. PCRecruiter uses a company-centric data model where the same record functions as both a candidate and a client depending on context; Crelate separates these into Contact and Company as distinct core records. We resolve that distinction during scoping by analyzing how each PCRecruiter People record is tagged, flagged, or associated, and we split or consolidate accordingly. Pipeline stages, position configurations, and placement billing history migrate with their full structure. Activity logs (calls, emails, notes, meetings, tasks) transfer to Crelate's native activity timeline. Workflow automations, pipeline templates, and mass-email configurations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Crelate. Multi-database PCRecruiter accounts require an explicit consolidation or partition strategy before field mapping begins.

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

PCRecruiter logo

PCRecruiter

What's pushing teams away

  • Complex initial setup and customization process creates a steep learning curve, with onboarding new users taking longer than expected for smaller teams.
  • Search functionality limitations frustrate users trying to filter candidates by specific criteria such as licensing or geographic requirements without workarounds.
  • Slow feature development cycle leaves the interface feeling dated compared to modern ATS/CRM alternatives with updated user experiences.
  • Mass email functionality is a known pain point requiring a learning curve, with communication features lagging behind competitors for outreach and follow-up sequences.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How PCRecruiter objects map to Crelate

Each row shows how a PCRecruiter object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

PCRecruiter

People (Candidates)

maps to

Crelate

Contact

1:1
Fully supported

PCRecruiter People records can function as candidates, client contacts, or both simultaneously due to the company-centric model. We analyze each People record's associations, tags, and placement history to determine whether it belongs in Crelate as a Contact record, a Contact with client flags, or a separate record type. The mapping preserves the original PCRecruiter People ID in a custom field pcr_people_id__c for audit and cross-reference. Standard fields (name, email, phone, address) map directly; custom fields translate per the field-type mapping document.

PCRecruiter

Company (Client Organization)

maps to

Crelate

Company

1:1
Fully supported

PCRecruiter Company records map directly to Crelate Company records. The Company record serves as the parent entity for both client relationships and candidate affiliations. We preserve the Company ID in crelate_company_id__c for reconciliation. Address, industry, and custom properties migrate as typed Crelate fields. Company records are imported before People records so that the Company lookup is satisfied at Contact insert time.

PCRecruiter

Position (Job Order)

maps to

Crelate

Job

1:1
Fully supported

PCRecruiter Position records map to Crelate Job records. Job details including title, description, requirements, status, and owner assignment migrate directly. Position pipeline configuration (stage names, order, probabilities) maps to Crelate Job Stage definitions. Custom fields on Position translate to Crelate Job custom fields by type match.

PCRecruiter

Placement

maps to

Crelate

Placement (custom object)

1:1
Fully supported

PCRecruiter Placement records represent successful hires with billing information, start dates, employee details, and client associations. Crelate supports Placement as a custom object or through its native placement tracking depending on account configuration. We map placement start date, end date (if contract), billing rate, client company reference, and candidate reference. Placement history is preserved for reporting continuity.

PCRecruiter

Pipeline Stage

maps to

Crelate

Job Stage

lossy
Fully supported

PCRecruiter pipeline stages are extracted from Position configurations and shared templates. Each stage's name, order, and probability percentage migrates to Crelate Job Stage definitions. We create the stage structure in Crelate before Job records are imported so that stage references are valid at insert time. Stage automation triggers are documented separately for admin rebuild.

PCRecruiter

Activity (Emails, Calls, Notes, Meetings, Tasks)

maps to

Crelate

Activity (Emails, Calls, Notes, Meetings, Tasks)

1:1
Fully supported

PCRecruiter Activity records include emails, calls, notes, meetings, and tasks logged against People or Positions. We map these to Crelate's native activity types preserving the original timestamp, body content, and association to the parent Contact or Job. Email attachments migrate as linked files. Activity ordering is preserved by setting the Crelate activity date to the original PCRecruiter timestamp.

PCRecruiter

Attachment (Resume, Documents)

maps to

Crelate

Attachment (Resume, Files)

1:1
Fully supported

Resume files, documents, and uploads associated with People, Companies, or Positions migrate via Crelate's file attachment API. We preserve file associations to their parent records (Contact, Company, or Job) and maintain original file names. Binary file content transfers directly; file metadata (upload date, file type) is preserved in Crelate's file record.

PCRecruiter

Custom Field

maps to

Crelate

Custom Field

lossy
Fully supported

PCRecruiter custom fields on Person, Company, Position, and Placement records migrate to Crelate custom fields. We extract the full custom field schema including action type (text, dropdown, date, currency, email, phone) and translate to the equivalent Crelate field type. Dropdown custom fields require explicit value translation when picklist options differ between systems. Custom fields are pre-created in Crelate before any record data is imported.

PCRecruiter

Tag / Label

maps to

Crelate

Tag

1:1
Fully supported

PCRecruiter Tags label People, Companies, and Positions for segmentation and filtering. We migrate tags as a flat taxonomy and recreate them in Crelate as Tags on the respective record type. Tag category structure from PCRecruiter maps to Crelate tag groups if the account uses tag segmentation. The customer confirms tag strategy during scoping.

PCRecruiter

User / Owner

maps to

Crelate

User

1:1
Fully supported

PCRecruiter User accounts include login credentials, roles, and ownership assignments on records. We map Users to Crelate User records by email match. Any PCRecruiter Owner without a matching Crelate User is held in a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignments on migrated records are resolved against the User mapping.

PCRecruiter

Multiple Databases

maps to

Crelate

Single Account or Workspace Partition

lossy
Mapping required

PCRecruiter accounts commonly run multiple independent databases for different business units, geographic regions, or archival purposes. Each database has its own schema configuration and pipeline settings. We treat each database as a distinct migration scope, either consolidating all records into a single Crelate account (with workspace partitioning if needed) or migrating each database as a separate Crelate workspace. The customer confirms the consolidation strategy during scoping before field mapping begins.

PCRecruiter

Automation (Workflow)

maps to

Crelate

Workflow (documented for rebuild)

lossy
Fully supported

PCRecruiter workflow automations trigger emails, status changes, and field updates based on pipeline events or record conditions. These do not migrate as code to Crelate because the automation models differ structurally. We document each automation's trigger, conditions, actions, and recommended Crelate equivalent and deliver the inventory to the customer's admin for post-migration rebuild.

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.

PCRecruiter logo

PCRecruiter gotchas

Medium

Multi-pass conversion process spans 4-8+ weeks

Medium

Multiple databases require explicit migration strategy

Low

API pricing model counts every operation as a call

Low

Custom field naming conventions require manual mapping

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Company-centric People records require disambiguation before import

    PCRecruiter's company-centric model allows the same People record to function as both a candidate and a client contact depending on context. Crelate separates these into distinct Contact and Company records. We analyze each PCRecruiter People record's associations, tags, placement history, and activity patterns to determine how to split or consolidate. Records without clear disambiguation are flagged in a reconciliation report for the customer's admin to confirm before final import. Skipping this step results in duplicate records, orphaned associations, or Contacts without required Company references.

  • Workflow automations and pipeline templates do not migrate

    PCRecruiter workflow automations trigger emails, status changes, and field updates based on pipeline events or record conditions. Crelate's automation model differs structurally, and we do not migrate automations as code. We deliver a written inventory of every active PCRecruiter automation with its trigger, conditions, actions, and a recommended Crelate equivalent for the customer's admin to rebuild. Pipeline templates similarly do not transfer; we document the stage definitions, step names, order, and probabilities for manual recreation in Crelate.

  • Multi-database PCRecruiter accounts require explicit consolidation strategy

    PCRecruiter accounts commonly run multiple independent databases for different business units, markets, or archival purposes. Each database has its own schema configuration, custom field definitions, user accounts, and pipeline settings. We treat each database as a distinct migration scope and require the customer to confirm whether to consolidate into a single Crelate account (with workspace partitioning) or maintain separate Crelate workspaces. Schema differences between databases require separate field mapping documents and can extend the migration timeline by two to four weeks if not resolved during scoping.

  • Custom field value translation requires explicit picklist mapping

    PCRecruiter custom fields often use abbreviated codes or legacy naming conventions that do not map directly to Crelate field labels or picklist values. Dropdown custom fields in particular require explicit value translation when PCRecruiter picklist options differ from Crelate options. We extract the full custom field schema from each source database, compare it against Crelate's field options, and create a mapping document for customer review. Any ambiguous custom field assignments are flagged for confirmation before final import. Crelate custom fields must be created in the destination before any record data is imported.

  • Activity migration requires parent-record resolution before insert

    PCRecruiter Activity records (emails, calls, notes, meetings, tasks) reference People and Position records by internal ID. When migrating to Crelate, these references must resolve to the new Crelate Contact and Job IDs at migration time. We build an ID mapping table during the People-to-Contact and Position-to-Job migration phases, then use that table to resolve activity parent references before insert. Any activity referencing a PCRecruiter record that was excluded or archived during scoping is logged and reported to the customer for confirmation.

Migration approach

Six steps for a successful PCRecruiter to Crelate data migration

  1. Discovery and database strategy

    We audit each PCRecruiter database across People records, Company records, Positions, Placements, Activities, custom field schemas, pipeline configurations, user accounts, and tag taxonomy. For multi-database accounts, we document schema differences and custom field variations between databases. We pair this with a Crelate account review and confirm whether the destination will be a single Crelate account (with workspace partitioning) or multiple Crelate workspaces. The discovery output is a written migration scope document with record counts, database consolidation strategy, and a preliminary field mapping outline.

  2. Schema design and custom field pre-creation

    We design the destination schema in Crelate. This includes creating all custom fields on Contact, Company, Job, and Placement records with type-matched equivalents from the PCRecruiter schema. For dropdown custom fields, we create the picklist values explicitly based on the PCRecruiter value set. Job stages are pre-defined matching the PCRecruiter pipeline structure. Tags are pre-created matching the PCRecruiter taxonomy. Schema is configured in Crelate's settings before any record data is imported.

  3. Company-centric disambiguation and People split

    We analyze every PCRecruiter People record to determine whether it belongs in Crelate as a Contact with candidate associations, a Company-affiliated client contact, or both. We use a scoring algorithm based on placement history, activity type patterns, tag assignments, and association density to make the split determination. The disambiguation output is reviewed by the customer's admin, who confirms or adjusts the split rules. Any ambiguous records are flagged for manual review before the Contact migration phase begins.

  4. Sandbox migration and reconciliation

    We run a full migration into a Crelate test environment (or sandbox equivalent) using production-like data volume. The customer's recruiting operations lead reconciles record counts (Contacts in, Companies in, Jobs in, Placements in, Activities in), spot-checks twenty-five to fifty random records against the PCRecruiter source, and confirms that custom field values and activity associations are correct. Any mapping corrections are documented and the test migration is re-run until the customer signs off before production migration begins.

  5. Owner and user provisioning reconciliation

    We extract every distinct PCRecruiter Owner referenced on People, Company, Position, and Placement records and match by email against the Crelate destination's User table. Owners without a matching Crelate User are added to a reconciliation queue. The customer's Crelate admin provisions any missing Users (active or inactive based on whether the original PCRecruiter user is still active) before the production migration phase begins. Owner references on migrated records cannot be resolved without this step.

  6. Production migration in dependency order

    We run production migration in record-dependency order: Companies (from PCRecruiter Company records), Contacts (with company lookup resolved and disambiguation applied), Jobs (with pipeline stages and custom fields configured), Placements, Activity history (emails, calls, notes, meetings, tasks with parent-record ID resolution), Tags, and Attachments. Each phase emits a row-count reconciliation report before the next phase begins. Multi-database migrations run sequentially per database with consolidation logic applied during the Contact and Company phases.

  7. Cutover, validation, and automation inventory handoff

    We freeze PCRecruiter writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the workflow automation and pipeline template inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's recruiting team. We do not rebuild PCRecruiter automations as Crelate automations inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

PCRecruiter logo

PCRecruiter

Source

Strengths

  • SOC 2 certified, privately hosted with US-based support from Main Sequence Technology.
  • Free RESTful API with comprehensive documentation and 3scale.net developer portal access.
  • Award-winning customer support team with high satisfaction ratings across review platforms.
  • Flexible multi-database architecture supporting separate markets, divisions, or archival strategies.
  • Company-centric data model allows candidate-to-client record conversion within the same entity.

Weaknesses

  • Outdated interface compared to modern ATS/CRM alternatives with slower feature development.
  • Complex initial setup and steep learning curve for new users and smaller teams.
  • Mass email functionality requires significant learning time and is a known friction point.
  • Search limitations make filtering candidates by specific criteria challenging without workarounds.
  • Multi-database architecture, while flexible, adds operational complexity for data management.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 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 PCRecruiter and Crelate.

  • Object compatibility

    B

    1 of 7 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

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

  • API constraints

    B

    PCRecruiter: Call volume per day based on API contract tier (Free tier available with limits).

  • Data volume sensitivity

    B

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

Estimator

Estimate your PCRecruiter to Crelate 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 PCRecruiter to Crelate data migrations

Answers to the questions buyers ask most during PCRecruiter to Crelate migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between five and eight weeks for accounts under 15,000 People records and a single PCRecruiter database with a clear company-centric disambiguation strategy. Migrations with multiple PCRecruiter databases requiring consolidation, extensive custom field schemas, large placement histories (over 2,000 records), or complex People-to-Contact disambiguation move to ten to sixteen weeks because of multi-pass scoping, database reconciliation, and parent-record lookup resolution. PCRecruiter's own documentation describes a similar four-to-twelve-week conversion cycle for their own inbound migrations.

Adjacent paths

Related migrations to explore

Ready when you are

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