HRMS migration
Field-level mapping, validation, and rollback between Beamery and Zoho Recruit. We move data and schema; workflows are rebuilt natively in Zoho Recruit.
Beamery
Source
Zoho Recruit
Destination
Compatibility
11 of 12
objects map 1:1 between Beamery and Zoho Recruit.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Beamery to Zoho Recruit is primarily a data consolidation migration for talent acquisition teams leaving an AI-driven skills-first CRM for a more accessible ATS with a lower per-seat price floor. Beamery organizes candidate data around Skills Intelligence, long-term Talent Pools, and proactive Campaign engagement; Zoho Recruit structures data around Candidates, Job Openings, and Hiring Pipelines with visual stage tracking. We map Beamery Contacts directly to Zoho Recruit Candidates and Contacts, resolve the multi-value delimiter difference (Beamery uses semicolons for multi-select; Zoho Recruit also uses semicolons in CSV imports), and preserve Talent Pool membership as tags in Zoho Recruit. Vacancy pipelines require per-tenant stage mapping because Zoho Recruit pipeline stage names differ from Beamery's Convert Flow pipeline stages. Automation Recipes, Convert Flow configurations, and Career Pages do not migrate; we document these as a written rebuild checklist for the customer's admin. The pricing model shift is significant: Beamery is enterprise-custom with annual contracts negotiated through sales, while Zoho Recruit starts at $25 per user per month with transparent published tiers.
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 Beamery object lands in Zoho Recruit, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Beamery
Contact
Zoho Recruit
Candidate
1:1Beamery Contacts map to Zoho Recruit Candidates, which is the primary candidate record. We map all standard fields (name, email, phone, title, location) plus Beamery custom fields. Multi-select custom fields in Beamery use semicolon delimiters; Zoho Recruit also expects semicolons for multi-select picklist values in CSV imports, so the delimiter convention carries over without transformation. The Beamery contact type (active candidate vs talent pool member) is preserved in a custom field beamery_contact_type__c on the Candidate record.
Beamery
Contact
Zoho Recruit
Contact
1:1Beamery Contacts that represent hiring manager or client relationships (if tracked in Beamery) map to Zoho Recruit Contacts under the Staffing Agency module. We distinguish Contacts from Candidates during scoping by inspecting the contact_type property or pool assignment history. Candidate-to-Contact linking in Zoho Recruit (associating a candidate with a client) is preserved as a custom lookup field if the relationship existed in Beamery.
Beamery
Talent Pool
Zoho Recruit
Tag (Candidate module)
1:manyBeamery Talent Pools have no native Zoho Recruit equivalent. We resolve this by creating a Zoho Recruit Tag for each Beamery Talent Pool, then applying the corresponding Tag to all Candidate records that held membership. Pool membership dates are stored in a custom Candidate field pool_joined_date__c per pool. If a Contact belongs to multiple pools, all corresponding Tags are applied. This preserves the relationship-centric view of talent pools without requiring a custom object.
Beamery
Vacancy
Zoho Recruit
Job Opening
1:1Beamery Vacancies map to Zoho Recruit Job Openings. Vacancy metadata (title, department, location, status) migrates directly. The pipeline stage names and pipeline structure require per-tenant mapping because Beamery's Convert Flow pipeline stages are tenant-defined and Zoho Recruit's Hiring Pipeline stages are configurable but use a different default set. We collect the customer's stage name mapping during scoping and configure Zoho Recruit pipeline stages before migration.
Beamery
Campaign
Zoho Recruit
Mass Email + Workflow Rule
1:1Beamery Campaigns (outbound engagement sequences) migrate as Zoho Recruit email templates plus the associated Candidate tag indicating campaign membership. Send dates and engagement events (opened, clicked, replied) are preserved as Activity Log entries on the Candidate record. The campaign automation logic (Recipe-driven triggers and conditional routing) is not portable; we document each active Beamery Recipe with its trigger, conditions, and recommended Zoho Recruit Workflow Rule equivalent as a separate handoff document.
Beamery
Skills
Zoho Recruit
Tag
1:1Beamery Skills taxonomy entries attached to Contacts migrate as Zoho Recruit Tags on the Candidate record. Each unique Beamery skill value becomes a Tag. If a Contact had multiple skills assigned, all corresponding Tags are applied. The Beamery skills taxonomy is customer-defined and may contain hundreds of unique values; we deduplicate and normalize before creating Tags to avoid tag explosion in Zoho Recruit.
Beamery
Vacancy
Zoho Recruit
Job Opening + Candidate Status
1:1The Beamery Vacancy-to-Candidate linkage (which candidates applied to or were added to which Vacancy) maps to Zoho Recruit's Job Opening to Candidate association via the Candidate Stage field. We preserve the original Vacancy reference as a custom field vacancy_original_id__c on the Candidate for audit trail and reporting continuity.
Beamery
User / Team Member
Zoho Recruit
User
1:1Beamery Users (recruiters and sourcers) are exported by email and mapped to Zoho Recruit Users provisioned by the customer's admin before migration. Owner assignments on Contact, Talent Pool, and Vacancy records resolve via email match. Any Beamery User without a corresponding Zoho Recruit User goes to a reconciliation queue; migration cannot proceed for those records until the admin provisions the missing User. Zoho Recruit requires at least two active Users in the account before CSV import can proceed.
Beamery
Convert Flow
Zoho Recruit
Web Form
1:1Beamery Convert Flow form submissions (candidate data captured through forms) migrate as Candidate records with a custom field convert_flow_name__c indicating the source form and conversion_timestamp__c preserving the original conversion date. The form configuration itself (field layout, conditional logic, downstream actions) is not portable and must be rebuilt as a Zoho Recruit Web Form. We document the full Convert Flow field set and conditional rules during scoping for the admin to use as a rebuild reference.
Beamery
Activity / Engagement
Zoho Recruit
Activity Log (Tasks, Calls, Events, Notes)
1:1Beamery engagement events (emails sent, page views, notes, calls, meetings) are timestamped activities linked to Contacts. We export them as Zoho Recruit Task, Call Log, Event, or Note records linked to the corresponding Candidate. Zoho Recruit's Corporate plan limits exports to 20,000 records per module per export request; for large engagement histories we run paginated export batches. Activity ordering is preserved by setting the Zoho Recruit activity date to the original Beamery timestamp.
Beamery
Attachment (Resume)
Zoho Recruit
Candidate Attachment
1:1Binary attachments (resumes, portfolio files) stored in Beamery are exported as file metadata with URL references. We include resume file name, file size, and upload date in custom Candidate fields. If Beamery's file storage is accessible via the API, we retrieve and re-attach the file to the Zoho Recruit Candidate record. If storage access is unavailable, we flag the record for the customer to re-upload manually after migration.
Beamery
Tag
Zoho Recruit
Tag
1:1Beamery Tags are flat label fields applied to Contacts. They map directly to Zoho Recruit Tags on the Candidate record with a one-to-one label mapping. The Zoho Recruit Enterprise plan supports up to 1,000 tags; we check tag count against the target plan during scoping to avoid hitting the limit with large taxonomy exports.
| Beamery | Zoho Recruit | Compatibility | |
|---|---|---|---|
| Contact | Candidate1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Talent Pool | Tag (Candidate module)1:many | Fully supported | |
| Vacancy | Job Opening1:1 | Fully supported | |
| Campaign | Mass Email + Workflow Rule1:1 | Fully supported | |
| Skills | Tag1:1 | Mapping required | |
| Vacancy | Job Opening + Candidate Status1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Convert Flow | Web Form1:1 | Fully supported | |
| Activity / Engagement | Activity Log (Tasks, Calls, Events, Notes)1:1 | Fully supported | |
| Attachment (Resume) | Candidate Attachment1:1 | Fully supported | |
| Tag | Tag1:1 | 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.
Beamery gotchas
Beamery API rate limits are not publicly documented for all endpoints
Flat-file import requires exact CSV format and delimiter conventions
EU and US tenants use separate API environments
Recipes and Convert Flow configurations are not portable
Chrome Extension sourcing creates duplicate candidate records
Zoho Recruit gotchas
Daily API rate limits are tier-gated and per-user capped
User import hard cap of 2,000 records
Attachment folder hierarchy must be preserved exactly
Resume parsing quota varies by plan and resets daily
Custom fields unavailable in Free and Standard editions
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the source Beamery tenant across objects (Contacts, Talent Pools, Vacancies, Campaigns, Skills, Convert Flows, User list), record volumes, custom field definitions, active Recipe count, and engagement history volume. We confirm the Beamery tenant environment (US frontier.beamery.com vs EMEA frontier.beamery.eu) and cross-check against the planned Zoho Recruit data center region. We also review Beamery's CSV export logs for any historical format compliance issues that may have silently dropped fields. The discovery output is a written migration scope, volume estimate, and a pre-migration checklist including the mandatory deduplication run for any records created via the Chrome Extension.
Target schema design and field mapping
We design the destination Zoho Recruit schema before any data moves. This includes creating custom fields in Zoho Recruit that mirror Beamery custom fields (Setup > Customization > Modules > Fields), configuring Hiring Pipeline stages to match the customer's Beamery Vacancy pipeline stages (per-tenant mapping collected during scoping), setting up Tags to represent Talent Pools and Skills taxonomy entries, and configuring Zoho Recruit User roles and profiles to match Beamery's team permission structure. Custom fields must be created in Zoho Recruit before CSV import can populate them. We also confirm that at least two active Users exist in the Zoho Recruit account, as Zoho Recruit's import requires this.
Pilot migration in Zoho Recruit sandbox
We run a pilot migration using a representative sample of Beamery data (typically 100-200 records per module) into a Zoho Recruit sandbox or trial account. The customer reconciles record counts, spot-checks 25-50 candidate records for field-level accuracy, verifies that Talent Pool membership is correctly represented as Tags, and confirms that Vacancy pipeline stage mapping produces the expected stage assignments. Mapping corrections identified during the pilot are applied to the full migration scripts before production migration begins.
Candidate deduplication and data quality pass
Before exporting from Beamery, we run a deduplication pass using email address as the primary key. Any duplicate Contact records created by the Beamery Chrome Extension are flagged for the customer to resolve or consolidate. We also flag any Beamery Contact record missing a Last Name value, any Contact without an email address, and any Vacancy record with no linked candidates. Records with missing mandatory fields are corrected or annotated with a placeholder value before export. The output is a cleaned Beamery export file and a data quality log showing all corrections made.
Production migration in dependency order
We execute production migration in record-dependency order: Users (provisioned by admin, validated by email match), Job Openings (Vacancies mapped to Zoho Recruit Hiring Pipelines), Candidates (Contacts mapped with custom fields and multi-select values in semicolon-delimited format), Tags (Talent Pools and Skills applied to Candidates by lookup), Candidate-Vacancy linkages (Job Opening association via Candidate Stage), Activity history (Tasks, Calls, Events, Notes linked to Candidates via Zoho Recruit's Bulk API for large volumes), and Attachments (resume file metadata re-attached). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and Recipes handoff
We freeze Beamery writes during cutover, run a final delta migration of any records modified during the migration window, then enable Zoho Recruit as the system of record. We deliver the Recipes and Convert Flow rebuild checklist to the customer's admin team along with a Zoho Recruit Workflow Rule rebuild guide mapped to each Beamery Recipe trigger. We support a one-week hypercare window where we resolve any data integrity issues raised by the recruiting team. We do not rebuild Beamery Recipes as Zoho Recruit Workflow Rules within the migration scope; that is a separate engagement for the customer's admin or a Zoho partner.
Platform deep dives
Beamery
Source
Strengths
Weaknesses
Zoho Recruit
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Beamery and Zoho Recruit.
Object compatibility
1 of 7 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
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Beamery: 30 req/s on the authentication endpoint; other endpoint limits not publicly documented.
Data volume sensitivity
Beamery 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
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