HRMS migration

Migrate from SnapHire to Recruit CRM & ATS

Field-level mapping, validation, and rollback between SnapHire and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.

SnapHire logo

SnapHire

Source

Recruit CRM & ATS

Destination

Recruit CRM & ATS logo

Compatibility

67%

8 of 12

objects map 1:1 between SnapHire and Recruit CRM & ATS.

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

SnapHire to Recruit CRM is a migration from a New Zealand-origin ATS with configurable workflows and limited export tooling to a globally-used recruitment platform rated 4.9 on Capterra by over 460 reviewers. The structural challenge is SnapHire's absence of a documented public API for bulk data extraction — we coordinate CSV exports through SnapHire's Client Success team and transform the output for Recruit CRM's REST API ingestion. Recruit CRM's associated-fields model (per-candidate, per-job custom data fields) requires field-level mapping that we scope during discovery, as SnapHire custom candidate fields vary per-organization with no shared schema. We preserve candidate stage history and rejection reasons as explicit fields in Recruit CRM. Workflows, SnapHire's Candidate Match talent community scoring logic, and SnapHire's intelliHR onboarding push do not migrate — we document these for the customer's admin to rebuild in Recruit CRM post-cutover.

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

SnapHire logo

SnapHire

What's pushing teams away

  • Reporting is criticised by reviewers as 'klunky' and not easily grasped for day-to-day users — analytics depth lags modern ATS competitors.
  • Lacks some advanced automation features (e.g., AI-driven candidate matching beyond Candidate Match) that are now standard in newer cloud ATS platforms.
  • Custom-quote-only pricing makes self-serve evaluation and budget benchmarking hard — third-party estimates suggest from ~$1,500/month but the actual rate is opaque.
  • Larger enterprises and high-volume hiring teams report outgrowing SnapHire's customisation ceiling and migrate to platforms with deeper workflow scripting and BI.
  • App-store ecosystem is smaller than global competitors (Workday, Greenhouse, iCIMS), limiting third-party connectors for niche assessment tools or vertical CRMs.

Choosing

Recruit CRM & ATS logo

Recruit CRM & ATS

What's pulling them in

  • Agencies choose Recruit CRM for its full customizability — pipelines, stages, and fields can be tailored to any recruitment workflow without developer involvement.
  • Small teams value the built-in CRM and ATS combined in one subscription, eliminating the need to purchase and sync separate systems.
  • The Chrome extension for one-click LinkedIn profile collection streamlines candidate sourcing and reduces manual data entry for recruiters.
  • Responsive customer support with fast issue resolution is consistently cited as a reason teams stick with the platform long-term.
  • Automation options including email sequences and workflow triggers allow recruitment agencies to reduce repetitive manual outreach tasks.

Object mapping

How SnapHire objects map to Recruit CRM & ATS

Each row shows how a SnapHire object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

SnapHire

Candidate

maps to

Recruit CRM & ATS

Contact

1:1
Fully supported

SnapHire Candidate records map to Recruit CRM Contact. Name, email, phone, address, and application history transfer directly. Candidate status (active, archived, rejected) maps to Recruit CRM's Contact status field. Historical stage movements are preserved as a stage_history custom text field or as a dated timeline note on the Contact record for auditability.

SnapHire

Job

maps to

Recruit CRM & ATS

Job Requisition

1:1
Fully supported

SnapHire Job records (title, department, location, description, pipeline assignment) map to Recruit CRM Job Requisition. The job pipeline in SnapHire becomes a Recruit CRM pipeline with corresponding stage values. We extract the job's associated pipeline and stage configuration during discovery and build matching stage values in Recruit CRM before job records are loaded.

SnapHire

Custom Candidate Data Fields

maps to

Recruit CRM & ATS

Associated Fields

1:1
Mapping required

SnapHire custom candidate data fields (validation rules, multi-choice dropdowns, checkboxes) map to Recruit CRM's associated_fields endpoint — POST /v1/candidates/associated-field/{candidate}/{job}. Each associated field in Recruit CRM requires a pre-existing field_id, so we create the destination field schema in Recruit CRM first, extract the field IDs, then map SnapHire custom field values during ingestion. Multi-choice values require explicit option mapping if the option sets differ between platforms.

SnapHire

Workflow

maps to

Recruit CRM & ATS

Pipeline Stage

lossy
Fully supported

SnapHire hiring-stage workflows (stage progressions with configurable actions at each stage) do not migrate as code. We document the existing SnapHire workflow stages and actions in a written inventory. Each SnapHire workflow maps to a Recruit CRM pipeline configuration with matching stage names and probabilities. The customer's admin rebuilds any conditional logic or automated actions in Recruit CRM post-migration.

SnapHire

Candidate Match (Talent Community)

maps to

Recruit CRM & ATS

Candidate Matching

1:1
Mapping required

SnapHire's Candidate Match feature generates match scores between talent community candidates and job profiles. The matched candidate records and their static scores transfer as custom fields on the candidate Contact record. The matching algorithm itself is SnapHire-native and cannot be replicated. Recruit CRM's AI-powered candidate matching regenerates match scores post-migration based on its own scoring model.

SnapHire

Hiring Stage History

maps to

Recruit CRM & ATS

Activity Timeline / Custom Stage History Field

1:1
Fully supported

Each candidate's SnapHire stage movement history (stage name, entry date, exit date, action taken) is preserved as a structured custom field or as dated Activity notes in Recruit CRM. We extract the stage_history object from SnapHire's candidate export and populate it as a multi-line text field (or equivalent) in Recruit CRM to maintain auditability of the full hiring journey.

SnapHire

Rejection Reasons

maps to

Recruit CRM & ATS

Rejected Status / Custom Rejection Field

lossy
Mapping required

SnapHire rejection reasons are configured per-organization as freeform or predefined lists. We extract the full rejection reason taxonomy during discovery and map each reason to a Recruit CRM custom picklist field on the Contact or to a candidate status value. Any reason not covered by the destination taxonomy is flagged for manual assignment post-migration.

SnapHire

Category

maps to

Recruit CRM & ATS

Tag / Custom Field

lossy
Fully supported

SnapHire job-specific categories used for reporting do not have a direct equivalent in Recruit CRM. We map them to Recruit CRM Tags on the Job Requisition, or to a custom multi-select field if the customer requires category-level pipeline reporting. The mapping choice is made during scoping based on how the customer uses categories for analytics.

SnapHire

Attachment

maps to

Recruit CRM & ATS

Attachment / Document

1:1
Fully supported

Candidate and job attachments — resumes, cover letters, assessment files — transfer as binary blobs. We download from SnapHire (as available via CSV export or portal download) and re-upload to Recruit CRM linked to the corresponding Contact or Job record. File naming conventions are preserved to aid recruiter recognition post-migration.

SnapHire

Owner

maps to

Recruit CRM & ATS

User

1:1
Fully supported

SnapHire Owners referenced on Candidate, Job, and Workflow records map to Recruit CRM Users by email match. We extract all distinct owner references, match against Recruit CRM's user list, and flag any SnapHire owners without a matching Recruit CRM User for the customer's admin to provision before record import begins.

SnapHire

Onboarding Workflow Configuration

maps to

Recruit CRM & ATS

Documentation Only

lossy
Fully supported

SnapHire's onboarding automation is designed exclusively for intelliHR (Humanforce) integration — pushing new hire data to downstream HR systems. This configuration does not transfer to Recruit CRM, which has no native intelliHR push. We extract the onboarding workflow configuration and deliver it as a written document so the customer's admin can rebuild the workflow logic in Recruit CRM or a separate onboarding tool post-cutover.

SnapHire

Application

maps to

Recruit CRM & ATS

Candidate-Job Association

1:1
Fully supported

SnapHire application records (linking a Candidate to a Job with an application date and status) map to Recruit CRM's candidate-to-job association. We resolve the candidate Contact ID and job Requisition ID at migration time and create the association using Recruit CRM's candidate-job linking endpoints or through the bulk import with explicit lookup resolution.

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.

SnapHire logo

SnapHire gotchas

High

SnapHire Bullhorn export can take 2–3 weeks

Medium

Custom data fields vary per-organization

Medium

Candidate Match scores are not transferable as logic

Medium

No public API documentation for bulk export

Low

Onboarding workflows push to intelliHR only

Recruit CRM & ATS logo

Recruit CRM & ATS gotchas

High

API rate limits are license-scaled and can throttle bulk migration

Medium

Custom field schemas vary per organization and require field-level mapping

Medium

Files and email attachments require separate extraction and re-upload

Low

Email sequences and automation logic do not transfer between platforms

Pair-specific challenges

  • SnapHire has no public API for bulk data extraction

    SnapHire does not publish API documentation for bulk exports. Data extraction typically requires coordination with SnapHire's Client Success team for CSV generation, and documentation confirms this can take two to three weeks depending on data volume. We factor this extraction timeline into the project schedule from day one and request the export initiation early in discovery to avoid blocking the migration cutover date. All subsequent transformation and API ingestion into Recruit CRM proceeds once the export is available.

  • Custom candidate data fields have no shared schema

    SnapHire supports custom candidate data fields with organization-specific validation rules and multi-choice option sets. There is no publicly documented schema export. Each SnapHire customer's field set is unique, requiring a per-organization field inventory request during scoping. Multi-choice fields (dropdowns, checkboxes) may have different option sets that require explicit value mapping to Recruit CRM's associated field option values. We build the Recruit CRM associated-field schema (with field IDs retrieved from the API) before ingesting any candidate records.

  • SnapHire Candidate Match scores transfer as static values only

    The Candidate Match talent community feature generates match scores between SnapHire talent community candidates and job profiles. These scores migrate as static custom field values on the candidate record. The matching algorithm is SnapHire-native and cannot be replicated in Recruit CRM. Hiring teams should re-run matching in Recruit CRM after cutover using its own AI-powered matching capabilities. Recruit CRM does not have a direct Candidate Match equivalent, so match-score continuity is limited to the transferred static values.

  • Associated fields in Recruit CRM require per-candidate-per-job field creation

    Recruit CRM's associated_fields endpoint (POST /v1/candidates/associated-field/{candidate}/{job}) requires pre-existing field IDs in Recruit CRM before data can be written. Unlike standard Contact fields, associated fields must be created in Recruit CRM's UI first, their IDs retrieved via the API, and then used in the bulk write payload. This two-step schema-then-data approach adds a coordination step not present in simpler CSV-to-CRM migrations. We sequence schema creation and field ID retrieval before any candidate-job association data is loaded.

  • SnapHire onboarding pushes only to intelliHR

    SnapHire's native onboarding automation is designed to create person and job records in intelliHR (Humanforce) when a candidate is marked Hired. For migrations to Recruit CRM, which has no intelliHR integration, the onboarding automation must be rebuilt from scratch. We extract the existing SnapHire automation configuration and deliver it as a written specification for the customer's admin to implement in Recruit CRM's workflow builder or a separate onboarding tool. The hired-candidate data itself migrates as a standard Contact record with status set to Hired.

Migration approach

Six steps for a successful SnapHire to Recruit CRM & ATS data migration

  1. Discovery and SnapHire export initiation

    We audit the SnapHire instance across custom candidate data field inventory, active pipeline configurations, stage names, workflow structures, candidate and job record volumes, and attachment storage. We simultaneously initiate the CSV export request with SnapHire's Client Success team, recognizing that this extraction can take two to three weeks. We request the full field taxonomy from the customer and begin Recruit CRM associated-field schema design in parallel so that field IDs are ready when the export arrives.

  2. Recruit CRM associated-field schema creation

    Before any candidate data loads, we create all required associated fields in Recruit CRM via the API and capture the returned field IDs. This includes custom picklist values, validation rules, and field ordering. We configure pipeline stages in Recruit CRM to match the SnapHire workflow stage names and probabilities, ensuring that stage values used in the incoming data have valid destinations. This step gates all subsequent data ingestion.

  3. CSV extraction, transformation, and staging

    Once the SnapHire export arrives (CSV format), we stage it in a transformation environment. We apply field-level mapping from SnapHire's custom field names to Recruit CRM's associated_field IDs, resolve multi-choice option values, and build the per-candidate-per-job association payload. We run deduplication checks on candidate email addresses and flag duplicate records before ingestion. Candidate Match scores, stage history, and rejection reasons are extracted as separate structured columns for bulk load.

  4. Owner and user reconciliation

    We extract every distinct SnapHire Owner referenced on Candidate, Job, and Workflow records. We match these by email address against the Recruit CRM destination User list. Any SnapHire owner without a matching Recruit CRM User is placed in a reconciliation queue for the customer's admin to provision before record import resumes. Owner resolution gates the Contact and Job import because OwnerId references are required on most records.

  5. Production migration in dependency order

    We run production migration following record dependencies: Recruit CRM Users validated, then Job Requisitions (because candidate associations depend on them), then Candidates and their associated fields via the associated-fields endpoint, then stage history and rejection reason custom fields, then attachments. Each phase emits a row-count reconciliation report before the next phase begins. Associated-field writes use the Recruit CRM REST API with rate-limit handling and retry logic for 429 responses.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze SnapHire writes during the cutover window, run a final delta migration of records modified during the window, then enable Recruit CRM as the system of record. We deliver the Workflow and Onboarding Automation inventory document to the customer's admin for rebuild in Recruit CRM. We support a one-week hypercare window for reconciliation issues. We do not rebuild SnapHire workflows as Recruit CRM 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

SnapHire logo

SnapHire

Source

Strengths

  • Configurable workflows let HR teams model their exact hiring stages and actions without code changes.
  • Talent community matching surfaces passive candidates against new job openings automatically.
  • Custom candidate data fields support industry-specific intake without workarounds.
  • Native intelliHR integration pushes hired candidates directly into employee records.
  • Built-in reporting categories help organizations track pipeline metrics by job type.

Weaknesses

  • Very limited public review corpus (3 reviews on G2) makes independent quality assessment difficult.
  • Candidate-facing experience is described as outdated and ineffective by some reviewers.
  • Pricing tiers are not publicly documented, requiring direct sales contact.
  • Limited documented API capability for bulk exports — migration often relies on CSV extraction.
  • Smaller market footprint outside New Zealand may limit partner and integration ecosystem.
Recruit CRM & ATS logo

Recruit CRM & ATS

Destination

Strengths

  • Fully customizable pipelines, stages, and fields without requiring developer involvement
  • Combines recruitment CRM and ATS in one subscription for staffing agencies and small teams
  • Built-in email sequences and automation reduce manual outreach work
  • Chrome extension enables one-click LinkedIn profile collection directly into the CRM
  • Responsive customer support cited across multiple reviews with fast resolution times

Weaknesses

  • Several features are gated as paid add-ons rather than included in the base subscription
  • Email functionality has been reported as unreliable by multiple users
  • Interface occasionally lags during high-activity periods in large pipelines
  • Pricing is considered higher than comparable recruitment CRMs by some customers
  • Limited native reporting — users request pre-made report exports rather than manual data pulls

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 SnapHire and Recruit CRM & ATS.

  • 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

    SnapHire: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your SnapHire to Recruit CRM & ATS 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 SnapHire to Recruit CRM & ATS data migrations

Answers to the questions buyers ask most during SnapHire to Recruit CRM & ATS migration scoping. Not seeing yours? Book a call.

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Most migrations land between five and eight weeks for accounts under 10,000 candidates and 50 active jobs with fewer than 20 custom candidate data fields. Migrations with large custom field inventories, historical pipeline data across multiple stages, active job volumes over 200, or complex associated-field-per-candidate structures move to ten to sixteen weeks primarily because of the SnapHire CSV extraction timeline (two to three weeks) and the associated-field schema setup required before data ingestion begins.

Adjacent paths

Related migrations to explore

Ready when you are

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