HRMS migration

Migrate from Phenom to Bullhorn ATS & CRM

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

Phenom logo

Phenom

Source

Bullhorn ATS & CRM

Destination

Bullhorn ATS & CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between Phenom and Bullhorn ATS & CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Phenom and Bullhorn serve different segments of the recruiting market. Phenom is an enterprise Talent Experience platform spanning hire-to-retire with AI-driven FitScore matching, skills ontology, and internal mobility features. Bullhorn is a CRM-first ATS built for staffing and recruiting agencies, with a faster implementation path and more transparent per-seat pricing. Migrating from Phenom to Bullhorn means reshaping a talent-experience data model into an agency-recruitment model: Candidates, Jobs, and Applications map directly, but FitScore AI scores and skills ontology require transformation into custom fields, Phenom Projects (workflows) require structural rebuild as Bullhorn pipeline stages, and the full Phenom campaign history is delivered as a documented inventory for admin rebuild. We do not migrate workflows, automations, or sequences as code; we deliver a written map for the customer's team to rebuild.

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

Phenom logo

Phenom

What's pushing teams away

  • Analytics are difficult to extract and data inaccuracy in reports makes it hard to get the recruiting metrics HR leaders need to justify the platform investment.
  • The implementation complexity is steep and overwhelming, with extensive information that causes teams to get lost during setup and ongoing configuration.
  • Voice agent glitches cause stalls and garbled speech output during automated screening calls, creating a poor candidate experience and requiring manual intervention.
  • Data appears overwhelming until correct filters are applied to exclude Rejected and Withdrawn candidates, and understanding which filters to set is not intuitive.
  • Understanding the various points of contact throughout purchase, setup, and ongoing use of the platform is the most challenging aspect of the relationship.

Choosing

Bullhorn ATS & CRM logo

Bullhorn ATS & CRM

What's pulling them in

  • Agencies choose Bullhorn because it combines ATS and CRM in one platform, eliminating the need to switch between separate tools for candidate management and client relationship tracking.
  • The resume parser extracts contact details, work history, and skills into structured, searchable candidate profiles automatically without manual data entry, reportedly driving 24% more placements per recruiter.
  • Bullhorn's placement and split-billing model natively supports contract staffing workflows, handling start/end dates, overtime rules, and multi-party pay/charge rates in a single record.
  • The platform offers extensive third-party integrations through its Recruitment Cloud Marketplace, connecting with back-office, onboarding, and payroll systems used by staffing agencies.
  • 72% of Bullhorn customers are teams with fewer than 10 users, and Bullhorn's implementation team handles setup and data migration for small agencies going live within weeks.

Object mapping

How Phenom objects map to Bullhorn ATS & CRM

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

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

Phenom

Candidate

maps to

Bullhorn ATS & CRM

Candidate

1:1
Fully supported

Phenom Candidates map directly to Bullhorn Candidate records via the Candidates API and Bullhorn REST API respectively. Standard properties (name, email, phone, address, skills, experience) transfer 1:1. Additional Fields on each Candidate record map to Bullhorn custom fields on the Candidate entity. We export the full Additional Fields payload per candidate including tenant-specific attributes and preserve the original field labels in a migration manifest so the customer can verify mapping completeness.

Phenom

Job

maps to

Bullhorn ATS & CRM

JobOrder

1:1
Fully supported

Phenom Jobs map to Bullhorn JobOrder records. The Job Sync API export includes active and historical job postings, metadata, location data, and job requirements. Bullhorn JobOrder fields (title, description, employmentType, salary, address, clientCorporation) receive the corresponding Phenom fields directly. Job requirements stored as custom Additional Fields on Jobs map to Bullhorn custom fields on JobOrder.

Phenom

Application

maps to

Bullhorn ATS & CRM

JobSubmission

1:1
Fully supported

Phenom Applications link Candidates to Jobs and map to Bullhorn JobSubmission records. The Applicants API export includes status, stage progression, timestamps, and the candidate ID association. We resolve the candidate foreign key to Bullhorn Candidate ID and the job foreign key to Bullhorn JobOrder ID at migration time. Application status maps to JobSubmission status with the original Phenom status preserved in a custom field for reconciliation.

Phenom

Employee

maps to

Bullhorn ATS & CRM

Employee (Bullhorn ATS)

1:1
Fully supported

Phenom Employee Profile records map to Bullhorn Employee records where the Bullhorn ATS edition supports employee management. The Employee Profile API export includes preferences, skills data, and tenure information. We map employee status (active, inactive, terminated) to the corresponding Bullhorn Employee status field. Employee skill data from Phenom maps to Bullhorn custom fields on Employee because Bullhorn does not have a native skills ontology.

Phenom

Tag

maps to

Bullhorn ATS & CRM

Custom Candidate Field (multi-select)

lossy
Fully supported

Phenom Tag Management APIs export tag assignments and vocabulary per candidate. Bullhorn does not have a native Tag object; tags migrate to custom multi-select picklist fields on the Candidate entity. We export the full tag vocabulary, create a custom field per tag group (or consolidate into a single multi-select if the vocabulary is under 150 values), and map each candidate's tag assignments to the corresponding picklist values.

Phenom

Additional Fields

maps to

Bullhorn ATS & CRM

Custom Field or Custom Object

lossy
Fully supported

Phenom Additional Fields are tenant-specific custom attributes on candidate profiles exposed via the Candidates API. We export the full Additional Fields payload per candidate and map each to either a Bullhorn custom field (if under the entity field limit) or a Bullhorn Custom Object (if the limit is exceeded or the data is structured). Bullhorn Custom Objects require a Support ticket to provision and support up to 55 fields each depending on edition (Front Office Growth/Enterprise: 10 objects, ATS: 2 objects, ATS Growth: none). We coordinate Custom Object provisioning during the discovery phase.

Phenom

FitScore / AI Matching

maps to

Bullhorn ATS & CRM

Custom Fields (skills export)

1:1
Fully supported

Phenom FitScore is a proprietary AI-generated candidate-to-job compatibility score built on skills, experience, and qualifications. Bullhorn Amplify provides AI matching but is a separate add-on with a different scoring model. We export the underlying skills, experience, and qualification fields that drive the FitScore so they can be preserved in Bullhorn custom fields or used to configure Bullhorn Amplify matching rules. We document every record that carried FitScore data in the migration manifest with the original score value in a custom field phenom_fitscore__c for audit.

Phenom

Project (Workflow)

maps to

Bullhorn ATS & CRM

Pipeline Stage + Record Type

lossy
Fully supported

Phenom Projects contain multiple Statuses defining candidate progression paths through a workflow. Bullhorn does not have a native Project object; workflow stages map to Bullhorn pipeline stages on JobSubmission and Candidate entities. We export the complete workflow topology (stage names, ordering, conditional routing) and document it as a Bullhorn pipeline configuration plan with stage-to-stage mapping. Custom routing logic referencing Phenom-specific rules must be rebuilt by the customer's Bullhorn admin post-migration; we provide the written topology map as the rebuild reference.

Phenom

Campaign

maps to

Bullhorn ATS & CRM

Campaign

1:1
Fully supported

Phenom Campaign APIs manage one-to-many candidate outreach sequences (email and SMS). Bullhorn has a native Campaign object for recruitment marketing campaigns. We export campaign structure, template content, and send history metadata from Phenom. Individual email and SMS message records are exported as engagement data. Bullhorn Campaigns do not natively support automated sequencing; we document the campaign structure so the customer's team can rebuild sequences using Bullhorn Automation or a third-party sales engagement tool.

Phenom

User Management

maps to

Bullhorn ATS & CRM

User

1:1
Fully supported

Phenom User Management uses SCIM protocol at the User Management APIs. Bullhorn uses its own User entity with role-based access control. We export users, group assignments, and role associations from Phenom and map them to Bullhorn User records with corresponding Bullhorn role assignments. The customer provisions Bullhorn users manually or via SCIM; we coordinate the email-based owner matching during the user reconciliation phase.

Phenom

Prediction (predicted skills)

maps to

Bullhorn ATS & CRM

Custom Candidate Fields

1:1
Fully supported

The Phenom Prediction API predicts skills based on job titles and provided skill sets, storing results against candidate profiles. These predicted skill mappings export as structured data per candidate. Bullhorn does not have a native predicted skills model. We migrate predicted skills as Bullhorn custom fields on the Candidate record, tagging each field with the original Phenom prediction source (title-based or skills-based) in the field label for traceability.

Phenom

Client / Company

maps to

Bullhorn ATS & CRM

ClientCorporation

1:1
Fully supported

Phenom tracks Companies as part of its CRM layer. Bullhorn uses ClientCorporation as the entity for recruiting clients (the companies staffing firms place talent with). We export Company records from Phenom and map them to Bullhorn ClientCorporation. The company name, address, industry, and contact associations migrate directly. Any company-specific custom fields map to Bullhorn custom fields on ClientCorporation.

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.

Phenom logo

Phenom gotchas

High

Per-user pricing creates billing risk during inbound migration

Medium

FitScore AI matching does not transfer 1:1

Medium

Workflow Projects and Statuses require structural rebuilding

Medium

Analytics and reporting data requires re-aggregation post-migration

Bullhorn ATS & CRM logo

Bullhorn ATS & CRM gotchas

High

ATS Growth edition has no API access

High

Attachments excluded from CSV bulk exports

Medium

Custom Object limits vary sharply by edition

Medium

Opportunity pipeline stages are recruitment-specific

Low

Resume parse quality varies by document format

Pair-specific challenges

  • Bullhorn Custom Objects require a Support ticket to provision

    Bullhorn Custom Objects (which hold structured tenant-specific data beyond standard entity fields) cannot be self-provisioned through the admin UI. Bullhorn Support must create them via a Custom Object Setup spreadsheet submitted as a support ticket. Front Office Growth and Enterprise editions support up to 10 Custom Objects with 55 fields each; Bullhorn ATS supports 2; ATS Growth supports none. If the Phenom migration scope includes custom data that exceeds Bullhorn's standard custom field limits per entity, we coordinate Custom Object provisioning during discovery to avoid blocking production migration.

  • Phenom FitScore AI matching does not transfer 1:1 to Bullhorn Amplify

    Phenom FitScore is a proprietary AI-generated candidate-to-job compatibility score built on its skills ontology. Bullhorn Amplify provides AI-powered matching but uses a different model and is a priced add-on rather than core functionality. We export the underlying skills, experience, and qualification fields that drive FitScore as Bullhorn custom fields, preserving the original score in a custom field for audit. Customers who rely on FitScore for ranking candidates should plan to re-run matching configuration in Bullhorn Amplify post-migration.

  • Phenom workflow Projects require structural rebuild in Bullhorn

    Phenom Projects organize candidate progression through Statuses that define multi-branch workflow paths. Bullhorn uses flat pipeline stages on JobSubmission and Candidate entities without native support for multi-branch conditional routing. We export the complete workflow topology including stage names, ordering, and conditional routing as a written configuration plan. Custom routing logic referencing Phenom-specific behavioral triggers must be rebuilt by the customer's Bullhorn admin as Bullhorn pipeline stages, record types, and automation rules.

  • Bullhorn field type constraints may reject imported custom field data

    Bullhorn enforces field type constraints (text length, picklist values, date formats) on both standard and custom fields that may differ from Phenom's allowances. A field that accepts free-form text in Phenom may be a picklist in Bullhorn. We validate field types against Bullhorn's entity metadata (via the /meta REST endpoint) during the mapping phase and flag any type mismatches. Mismatches are resolved by either transforming the data to match Bullhorn's type or creating a custom field with a compatible type.

  • Analytics and reporting data requires re-aggregation post-migration

    Users consistently report that analytics in Phenom are difficult to extract and can contain inaccuracies. We export available reporting data as structured records, but the destination Bullhorn reporting environment will need to be re-aggregated from scratch. We preserve all raw Candidate, Application, Job, and activity records so the customer can build fresh reports in Bullhorn using its native reporting engine or Advanced Reporting Dashboards (Enterprise tier). Historical Phenom report configurations do not migrate.

Migration approach

Six steps for a successful Phenom to Bullhorn ATS & CRM data migration

  1. Discovery and object inventory

    We audit the source Phenom tenant across all objects: Candidates (with Additional Fields and FitScore data), Jobs (with requirements and locations), Applications (with stage history), Employees, Tags, Campaigns, and User accounts. We identify custom objects, FitScore-enabled records, workflow Project topology, and campaign structure. We pair this with a Bullhorn edition assessment based on record volume, Custom Object count needed, and Advanced Reporting requirements. The discovery output is a written migration scope document with object counts, transformation requirements, and Bullhorn edition recommendation.

  2. Bullhorn schema preparation and Custom Object provisioning

    We design the Bullhorn destination schema before any data moves. This includes creating custom fields on Candidate, JobOrder, JobSubmission, ClientCorporation, and Employee entities; coordinating Bullhorn Support for Custom Object provisioning if required; designing pipeline record types and stage values mapped from Phenom Project workflow topology; and setting up the custom field phenom_fitscore__c for FitScore audit data. Schema is validated in a Bullhorn Sandbox before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Bullhorn Sandbox using production-like data volume. The customer's recruiting operations lead reconciles record counts across all objects, spot-checks 25-50 random candidate records against the Phenom source for field completeness, and validates that custom field values transferred correctly. Any mapping corrections are documented and applied before production migration. FitScore data completeness and tag vocabulary mapping are verified at this stage.

  4. Owner and user reconciliation

    We extract every distinct Phenom user referenced as an owner or assignee on Candidate, Application, Job, and Employee records. Bullhorn requires an OwnerId on each record at insert time. We match Phenom owners by email against the Bullhorn User table. Any Phenom owner without a matching Bullhorn User goes to a reconciliation queue; the customer's Bullhorn admin provisions missing users before production migration resumes.

  5. Production migration in dependency order

    We run production migration in record-dependency sequence: ClientCorporations (from Phenom Companies), Candidates (with Additional Fields and FitScore data), Employees, JobOrders (from Phenom Jobs), JobSubmissions (with Application history and candidate-job links resolved), Tags (as custom multi-select fields), User assignments, and campaign structure metadata. Each phase emits a row-count reconciliation report before the next phase begins. Custom Object data loads last, after the standard entity fields are confirmed.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Phenom writes during cutover, run a final delta migration of any records modified during the migration window, then enable Bullhorn as the system of record. We deliver the Phenom Project-to-Bullhorn pipeline topology map, the FitScore skill data manifest, and the campaign structure inventory as written documents for the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Phenom workflows or campaigns as Bullhorn 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

Phenom logo

Phenom

Source

Strengths

  • Integrated Talent Experience covering the full hire-to-retire lifecycle across a single platform.
  • AI-powered voice screening enables 24/7 candidate evaluation without recruiter intervention.
  • Intelligent scheduling automation reduces time-to-interview from weeks to days for high-volume roles.
  • Skills ontology maps internal career paths and upskilling options for workforce development.
  • Multi-channel candidate engagement including texting, email, and SMS from a unified inbox.

Weaknesses

  • Implementation complexity is steep and can overwhelm teams during initial setup and configuration.
  • Analytics extraction is difficult with reported data inaccuracies that complicate reporting.
  • Enterprise-only pricing starting around $10,000 per month limits accessibility for smaller organizations.
  • Glitches with the voice agent (stalling, garbled output) require manual intervention and damage candidate experience.
  • Customizations are frequently needed to maximize the solution for specific organizational workflows.
Bullhorn ATS & CRM logo

Bullhorn ATS & CRM

Destination

Strengths

  • Unified ATS and CRM on one platform purpose-built for staffing agencies, eliminating separate tools for candidates and clients.
  • Automated resume parsing extracts structured candidate data—contact details, work history, skills—into searchable profiles instantly.
  • Native placement and split-billing model handles contract staffing workflows including start/end dates and overtime rules.
  • Bullhorn Recruitment Cloud Marketplace offers 100+ pre-validated third-party integrations spanning the full recruiting lifecycle.
  • 24/7 global support coverage from 350+ support staff with dedicated account management included at all tiers.

Weaknesses

  • Widely regarded as old and bloated with an unintuitive interface and steep learning curve for new recruiters.
  • Slow page loads and performance lag cited in over 200 verified G2 reviews during high-volume recruiting periods.
  • Pricing is opaque—custom-negotiated per organization with significant upfront implementation fees that vary by deal.
  • ATS Growth edition excludes API access entirely, preventing automated data export without upgrading first.

Complexity grading

How hard is this migration?

Standard HRMS migration. All 7 core objects map 1:1 between Phenom and Bullhorn ATS & CRM.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Phenom and Bullhorn ATS & CRM.

  • Object compatibility

    A

    All 7 core objects map 1:1 between Phenom and Bullhorn ATS & CRM.

  • 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

    Phenom: Not publicly documented in the developer portal.

  • Data volume sensitivity

    A

    Phenom exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Phenom to Bullhorn ATS & CRM 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 Phenom to Bullhorn ATS & CRM data migrations

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

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Most migrations land between three and five weeks for accounts under 20,000 Candidates, 3,000 Jobs, and 5,000 Applications with no custom objects and straightforward FitScore export. Migrations with active FitScore data requiring skill ontology transformation, multiple Custom Objects exceeding Bullhorn's default limits, large campaign history, or complex Phenom Project workflow topology move to eight to twelve weeks because of transformation scope, Custom Object setup coordination via Bullhorn Support, and workflow map documentation.

Adjacent paths

Related migrations to explore

Ready when you are

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