HRMS migration

Migrate from Beamery to Zoho Recruit

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

Beamery logo

Beamery

Source

Zoho Recruit

Destination

Zoho Recruit logo

Compatibility

92%

11 of 12

objects map 1:1 between Beamery and Zoho Recruit.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Beamery logo

Beamery

What's pushing teams away

  • Feature breadth creates a steep learning curve; new users report the platform feels overwhelming with too many options before they develop muscle memory.
  • Reporting and analytics dashboards are functional but lack depth — users say customisation options are limited and extracting specific pipeline ROI reports requires effort.
  • The Chrome Extension for sourcing is described as buggy by multiple reviewers, with candidate duplication occurring when the extension syncs data back to the platform.
  • Job board integrations are narrower than competitors; teams with diverse sourcing channels report gaps in supported posting destinations.
  • Mid-market teams on limited budgets note the enterprise pricing and total cost of ownership is significantly higher than alternatives like Gem or Humanly.

Choosing

Zoho Recruit logo

Zoho Recruit

What's pulling them in

  • Lowest cost entry point of any major ATS — a free tier with Candidates, Clients, Contacts, Interviews, and a career site lets small teams validate before committing to a paid plan.
  • Deep Zoho ecosystem integration — if the team already uses Zoho CRM, Sheets, or Analytics, candidate data flows between modules without re-keying or third-party middleware.
  • Customizable pipelines and stages — both agency and corporate editions let users define custom pipeline stages and assign candidates through drag-and-drop visual boards.
  • AI-assisted features via Zia — resume parsing, candidate summarization, and job-candidate matching are built in on paid tiers, reducing manual screening time.
  • Job board aggregation at no extra cost — paid tiers include postings to major job boards, extending reach without purchasing separate job ad bundles.

Object mapping

How Beamery objects map to Zoho Recruit

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

maps to

Zoho Recruit

Candidate

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Contact

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Tag (Candidate module)

1:many
Fully supported

Beamery 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

maps to

Zoho Recruit

Job Opening

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Mass Email + Workflow Rule

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Tag

1:1
Mapping required

Beamery 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

maps to

Zoho Recruit

Job Opening + Candidate Status

1:1
Fully supported

The 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

maps to

Zoho Recruit

User

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Web Form

1:1
Fully supported

Beamery 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

maps to

Zoho Recruit

Activity Log (Tasks, Calls, Events, Notes)

1:1
Fully supported

Beamery 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)

maps to

Zoho Recruit

Candidate Attachment

1:1
Fully supported

Binary 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

maps to

Zoho Recruit

Tag

1:1
Fully supported

Beamery 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.

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.

Beamery logo

Beamery gotchas

Medium

Beamery API rate limits are not publicly documented for all endpoints

High

Flat-file import requires exact CSV format and delimiter conventions

High

EU and US tenants use separate API environments

Medium

Recipes and Convert Flow configurations are not portable

Low

Chrome Extension sourcing creates duplicate candidate records

Zoho Recruit logo

Zoho Recruit gotchas

High

Daily API rate limits are tier-gated and per-user capped

High

User import hard cap of 2,000 records

Medium

Attachment folder hierarchy must be preserved exactly

Medium

Resume parsing quota varies by plan and resets daily

Low

Custom fields unavailable in Free and Standard editions

Pair-specific challenges

  • Beamery flat-file exports require exact delimiter and header matching

    Beamery's CSV export format is rigid: UTF-8 encoding, comma-delimited primary fields, semicolon delimiters for multi-value fields (five semicolons for nested multi-select), no whitespace in empty fields, and exact column-header names matching Beamery's internal template. Zoho Recruit's import also expects semicolons for multi-select picklist values. We validate every export file against both platforms' format requirements before loading. Mismatched headers silently drop fields; incorrect multi-value delimiters corrupt data. We run a format-compliance check on the Beamery export before any import attempt.

  • Zoho Recruit requires mandatory fields populated before import

    Zoho Recruit enforces mandatory field requirements during CSV import: Last Name is required for every Candidate record, and any record missing a mandatory field value is rejected without a partial import. Beamery Contacts may not always have a Last Name value (for example, generic contact records or imported data with partial names). We flag any Beamery Contact record without a Last Name during the pre-migration audit and either derive a placeholder value (such as the email prefix or 'Not Provided') or escalate to the customer for manual correction before migration begins.

  • Vacancy pipeline stages require per-tenant manual mapping

    Beamery Vacancy pipeline stages are defined per-tenant and may use names like Pre-Screening, Technical Assessment, Cultural Fit that have no direct Zoho Recruit Hiring Pipeline stage equivalent. Zoho Recruit pipeline stages are configurable but use a different default set. We collect the customer's stage name mapping during scoping before migration, configure the corresponding Zoho Recruit stages, and apply the mapping during the Vacancy-to-Job Opening import. Skipping this step results in candidates landing in a default stage with no pipeline context.

  • Automation Recipes and Convert Flow logic do not migrate

    Beamery Recipes are event-driven automation rules that reference Beamery internal object IDs and trigger conditions; they cannot be exported and re-imported into Zoho Recruit because Zoho Recruit's Workflow Rules and Blueprint use a different trigger model and action set. Similarly, Convert Flow form configurations (field layouts, conditional logic, downstream assignments) are not portable. We document every active Recipe and Convert Flow during scoping as a written rebuild checklist with recommended Zoho Recruit equivalents. The customer's admin rebuilds these post-migration as Workflow Rules or Blueprint flows.

  • Beamery EU tenant uses a separate API environment

    Beamery operates two distinct production environments: frontier.beamery.com for US tenants and frontier.beamery.eu for EMEA tenants. We confirm the tenant environment with the customer before beginning any migration. Mixing environments results in authentication failures and zero data retrieval. This is especially relevant for EMEA teams using Zoho Recruit's EU data center, ensuring the migration pipeline stays within the same geographic data boundary.

Migration approach

Six steps for a successful Beamery to Zoho Recruit data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Beamery logo

Beamery

Source

Strengths

  • Skills taxonomy and AI matching enable proactive, data-driven talent pipeline management at scale.
  • Talent Pool management is intuitive and supports long-term candidate relationship nurturing over hiring cycles.
  • Automation Recipes cover common recruiter workflows without requiring developer resources.
  • LinkedIn Recruiter Connect integration surfaces up-to-date candidate data directly within Beamery's sourcing interface.
  • Consolidated platform spans sourcing, engagement, candidate management, and analytics in a single enterprise-grade system.

Weaknesses

  • Enterprise pricing model lacks transparent public tiers, making budget scoping difficult before a sales conversation.
  • Steep learning curve for new users due to the breadth of features and configuration options.
  • Chrome Extension reliability issues and candidate duplication reported across multiple G2 reviews.
  • Analytics customisation is limited; building specific pipeline ROI or forecast reports requires effort beyond what the UI offers.
  • Job board integration coverage is narrower than competitors, creating gaps for teams with diverse sourcing channel strategies.
Zoho Recruit logo

Zoho Recruit

Destination

Strengths

  • Free tier includes full candidate management with a hosted career site, making it viable for very small staffing operations.
  • Multi-edition architecture splits agency and corporate HR workflows, with tier-gated features that scale predictably with headcount.
  • Per-user API rate limits (500–1000/day) are generous for mid-size migrations compared to competitors that gate by total org quota.
  • Zoho's own data migration tool supports CSV import from Bullhorn, CATS, Jobdiva, and Workable, validating interoperability with common ATS formats.
  • 45-day money-back guarantee and 15-day full-feature trial reduce financial risk for teams evaluating the platform.

Weaknesses

  • Free edition excludes custom fields, lookup relationships, and formula fields, making data model extensibility unavailable until a paid tier is purchased.
  • Resume parsing quotas are capped: 250/day on Standard, 500/day on Professional, unlimited only on Enterprise — bulk imports of large candidate pools will hit these limits.
  • No bulk/batch API endpoint for inserts or updates — large migrations rely on looping single-record API calls within daily rate limit windows.
  • Custom modules cannot be imported from external ATS; only standard modules (Users, Candidates, Clients, etc.) are in the supported migration list.
  • Attachments require a rigid folder hierarchy to re-associate with records, and any deviation in folder structure during extraction causes silent disassociation.

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 Beamery and Zoho Recruit.

  • 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

    Beamery: 30 req/s on the authentication endpoint; other endpoint limits not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Beamery to Zoho Recruit 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 Beamery to Zoho Recruit data migrations

Answers to the questions buyers ask most during Beamery to Zoho Recruit 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 Contacts with no complex Talent Pool hierarchies or extensive engagement histories. Migrations with large Talent Pool membership structures (thousands of pool-contact linkages), multiple custom field sets, or engagement histories exceeding 100,000 activity records move to seven to twelve weeks because of the tag-based pool reconstruction, pipeline stage configuration, and Bulk API activity migration. The Zoho Recruit sandbox pilot phase typically takes one to two weeks and runs concurrently with target schema configuration.

Adjacent paths

Related migrations to explore

Ready when you are

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