Migrate your Yello data
Talent acquisition platform built for campus recruiting and early talent programs at large enterprises. We map its Candidates, Requisitions, and Event data during migrations.
In its favor
Why people choose Yello
The signal that keeps Yello on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Campus recruiting workflow consolidation: Yello's Event-based scheduling and Candidate registration tools attract large organizations running structured campus hiring programs that need one place to manage both.
Candidate relationship management: Reviews highlight the CRM-style candidate tracking features including sourcing, engagement, and pipeline visibility as key differentiators from spreadsheet-based recruiting.
LinkedIn integration depth: The February 2026 LinkedIn CRM Connect integration enables real-time profile data refresh directly in Yello, which recruiting teams cite as a efficiency win.
Strong customer service ratings: Verified reviewers on Capterra describe Yello's support team as attentive and responsive to specific customer needs, particularly for enterprise onboarding.
Branded candidate experience: Yello's career page configuration and communication tools help enterprise brands maintain consistent candidate-facing branding throughout the recruiting process.
Limited customization and flexibility: TechnologyCounter explicitly lists 'customization possible: No' and notes the platform lacks API access, frustrating teams with non-standard recruiting workflows.
Pricing concerns: Several verified reviewers cite cost as a pain point, with the platform perceived as expensive relative to alternatives for smaller or mid-market recruiting teams.
Alternative ATS adoption: Competitors like Workable appear frequently in Yello alternatives lists, suggesting teams evaluate and sometimes switch to platforms offering broader ATS functionality or lower price points.
Mobile and accessibility limitations: While Yello supports mobile access, reviewers note the mobile experience does not fully replicate desktop functionality, creating friction for recruiters working in the field.
Reasons to switch
Why people leave Yello
The recurring reasons buyers give for replacing Yello. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Yello fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Yello pricing overview
Yello publishes a starting price of approximately $30 per user per month on Capterra, with enterprise pricing available via custom quote. No free trial is offered and the platform is available on monthly or annual payment cycles. Exact tier features are not publicly documented.
Yello (sales-led)
Tier 1 of 1
Custom (sales-led; pricing not publicly published)
What's included
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What gets migrated
Yello object support
Object-by-object support for Yello migrations. Per-pair details surface during scoping.
Candidates
Mapping requiredThe primary talent record in Yello. Contains contact info, source, pipeline stage, tags, and history. We extract all standard fields and map any custom Candidate properties to the destination schema using a field-mapping table agreed upon with the customer before load.
Job Requisitions
Mapping requiredRequisitions represent open positions and hold metadata like department, location, headcount, and status. They are linked to Candidates via a many-to-one relationship. We preserve the association by sequencing Requisition creation ahead of Candidate import in the migration job.
Events
Mapping requiredCampus recruiting Events can span multiple days and locations. We extract Event metadata, registration lists, and any associated Candidate attendance records. Multi-day Event splitting is handled by parsing the date range and creating separate Event records in the destination.
Evaluations
Mapping requiredStructured feedback records including scores, comments, and evaluator attribution tied to a specific Pipeline Stage. Custom evaluation forms may use non-standard field names, requiring a field-mapping pass before the destination load.
Notes
Mapping requiredFree-text conversation history and recruiter commentary attached to Candidates. We extract the note body, author, and timestamp and write as plain-text or HTML depending on destination support.
Tags
Mapping requiredFlexible label system for categorizing Candidates, typically by school, degree, role, or recruiting season. Tags are extracted as a flat list and written to the destination as tag or label objects.
Pipeline Stages
Mapping requiredConfigurable hiring stage names and ordering. We extract the stage name, position in the sequence, and whether the stage is active. Stage ordering is preserved by writing stages in ascending position order before loading Candidates.
Attachments
Mapping requiredBinary files associated with Candidates such as resumes, cover letters, and portfolio items. We extract the file blob and filename and write to the destination's attachment or document object, preserving the Candidate linkage.
Users
Mapping requiredInternal recruiter and admin user accounts. We map Yello user names and email addresses to Owner or Assignee fields in the destination. Role and permission parity is out of scope for the data migration but is noted for the customer.
Custom Fields
Mapping requiredBoth Candidate-level and Requisition-level custom properties are present. We audit the full field list during the discovery phase and generate a field-mapping table covering field name, data type, and required-flag translation for the destination.
| Object | Support | Notes |
|---|---|---|
| Candidates | Mapping required | The primary talent record in Yello. Contains contact info, source, pipeline stage, tags, and history. We extract all standard fields and map any custom Candidate properties to the destination schema using a field-mapping table agreed upon with the customer before load. |
| Job Requisitions | Mapping required | Requisitions represent open positions and hold metadata like department, location, headcount, and status. They are linked to Candidates via a many-to-one relationship. We preserve the association by sequencing Requisition creation ahead of Candidate import in the migration job. |
| Events | Mapping required | Campus recruiting Events can span multiple days and locations. We extract Event metadata, registration lists, and any associated Candidate attendance records. Multi-day Event splitting is handled by parsing the date range and creating separate Event records in the destination. |
| Evaluations | Mapping required | Structured feedback records including scores, comments, and evaluator attribution tied to a specific Pipeline Stage. Custom evaluation forms may use non-standard field names, requiring a field-mapping pass before the destination load. |
| Notes | Mapping required | Free-text conversation history and recruiter commentary attached to Candidates. We extract the note body, author, and timestamp and write as plain-text or HTML depending on destination support. |
| Tags | Mapping required | Flexible label system for categorizing Candidates, typically by school, degree, role, or recruiting season. Tags are extracted as a flat list and written to the destination as tag or label objects. |
| Pipeline Stages | Mapping required | Configurable hiring stage names and ordering. We extract the stage name, position in the sequence, and whether the stage is active. Stage ordering is preserved by writing stages in ascending position order before loading Candidates. |
| Attachments | Mapping required | Binary files associated with Candidates such as resumes, cover letters, and portfolio items. We extract the file blob and filename and write to the destination's attachment or document object, preserving the Candidate linkage. |
| Users | Mapping required | Internal recruiter and admin user accounts. We map Yello user names and email addresses to Owner or Assignee fields in the destination. Role and permission parity is out of scope for the data migration but is noted for the customer. |
| Custom Fields | Mapping required | Both Candidate-level and Requisition-level custom properties are present. We audit the full field list during the discovery phase and generate a field-mapping table covering field name, data type, and required-flag translation for the destination. |
Gotchas
What to watch for in Yello migrations
Issues we've hit on past Yello migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
No documented public API forces export-based migration
Custom field discovery must happen before migration scoping
Event multi-day structure requires flattening during export
| Severity | Issue |
|---|---|
| High | No documented public API forces export-based migration |
| Medium | Custom field discovery must happen before migration scoping |
| Low | Event multi-day structure requires flattening during export |
Leaving Yello?
Where Yello customers move next
5 destinations Yello can migrate to.
How a Yello migration works
Four steps, Yello-specific
Connect
Not publicly documented in detail on the marketing site. Yello promotes an 'open architecture and robust APIs' for integrating with HRIS, ATS, and HCM systems; specific authentication (OAuth/API key) is provisioned per customer through Yello's integration team. into Yello. Scopes limited to read-only on the data we move.
Map
We translate Yello-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Yello quirks before production.
Migrate
Full migration with Yello rate-limit handling. Rollback available throughout.
FAQ
Yello migration FAQ
Answers to the questions buyers ask most during Yello migration scoping. Not seeing yours? Book a call.
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