HRMS migration

Migrate from TalentLyft to Crelate

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

TalentLyft logo

TalentLyft

Source

Crelate

Destination

Crelate logo

Compatibility

69%

9 of 13

objects map 1:1 between TalentLyft and Crelate.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from TalentLyft to Crelate is an ATS-to-agency-ATS migration where the structural difference is how applications are modeled. TalentLyft treats Applications as junction records linking a Candidate to a Job with a Pipeline Stage assignment. Crelate uses a Contact-centric model where jobs are requisitions and candidate interactions are Activity entries rather than standalone application records. We resolve that model gap by mapping each TalentLyft Application to a Crelate Activity (with type = Application) linked to both the Contact and the Job, preserving pipeline stage, status, and any application-level custom fields as structured data inside the Activity record. Talent Pools become Crelate Tags, education and experience sub-records migrate as nested contact JSON, and pipeline stages are configured as Crelate picklist values at the org level before any data import begins. Automation rules and email templates are not migrated; we deliver a written inventory of every active automation for the customer's admin to rebuild in Crelate.

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

TalentLyft logo

TalentLyft

What's pushing teams away

  • Candidate communication lives partially in email rather than fully inside TalentLyft — replies from candidates route to recruiter inboxes, breaking single-platform visibility.
  • Large CV databases lack robust search and filtering options, making it difficult for high-volume hiring teams to surface relevant candidates efficiently.
  • Reporting and analytics lack depth for data-driven hiring teams — advanced pipeline analytics, trend analysis, and custom report builder are cited as missing or limited.
  • Pipeline customization is constrained, leaving teams with niche hiring workflows unable to model complex, role-specific recruitment processes.
  • User interface and visual design feel dated compared to newer ATS competitors, and the mobile app offers reduced functionality relative to the desktop experience.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How TalentLyft objects map to Crelate

Each row shows how a TalentLyft object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

TalentLyft

Candidate

maps to

Crelate

Contact

1:1
Fully supported

TalentLyft Candidates map directly to Crelate Contacts. The Candidate's email address becomes the Crelate Contact email field used as the dedupe key during import. First name, last name, phone, address, and source channel migrate directly. Any TalentLyft Candidate-level custom fields are mapped to Crelate Contact custom fields by retrieving field definitions via GET /v2/custom_fields before migration and cross-referencing against export values. Deduplication resolves by email match first; name plus phone as a secondary key for records without email.

TalentLyft

Job

maps to

Crelate

Job

1:1
Fully supported

TalentLyft Jobs map directly to Crelate Jobs. Job title, description, location, department, and status migrate as-is. The Job's assigned Pipeline ID is resolved to a Crelate pipeline configuration that is set up before Job import. Jobs must be imported before Applications so that the Job lookup on each Activity record is satisfied at the moment of insert.

TalentLyft

Application

maps to

Crelate

Activity (type = Application)

1:1
Fully supported

TalentLyft Applications are junction records linking a Candidate to a Job with a Pipeline Stage assignment and optional Application-level custom fields. Crelate has no standalone Application object; instead, applications are modeled as Activity records with type = Application linked to the Contact (from the Candidate) and the Job. We map Application.pipeline_stage to Activity.status and carry any Application-level custom fields as structured JSON data inside the Activity record. The Activity is created after both the Contact and Job are staged.

TalentLyft

Talent Pool

maps to

Crelate

Tag (on Contact)

1:1
Fully supported

TalentLyft Talent Pools are named curated collections of Candidates for future openings. Crelate has no named-pool object; the equivalent functionality is implemented using Tags on Contacts. We create a Tag category matching each TalentLyft Talent Pool name and apply the tag to every Contact that was a member of that pool. Tags are specified in the Crelate API as a JSON object keyed by category name. Customers using multiple Talent Pools per candidate get multiple tags applied.

TalentLyft

Custom Fields (Candidate-level)

maps to

Crelate

Custom Fields (Contact-level)

lossy
Mapping required

TalentLyft Candidate-level custom fields vary per account and are entirely user-defined. We retrieve field definitions via GET /v2/custom_fields (Candidate endpoint) before migration to get field IDs, labels, and types. The corresponding Crelate Contact custom fields are created before migration begins. For fields with more than 10 values or complex types (multi-select, date), we run explicit field-by-field mapping sessions with the customer's admin. Values migrate as typed data matched to the Crelate field type.

TalentLyft

Custom Fields (Application-level)

maps to

Crelate

Custom Fields (Activity-level)

lossy
Mapping required

Application-level custom fields in TalentLyft store per-application metadata such as interview scores, offer details, or compliance flags. These map to Crelate Activity custom fields. The same field-definition retrieval step applies: we call GET /v2/custom_fields (Application endpoint) to build the typed mapping table before migration. Application-level custom fields are carried inside the Activity JSON structure at import time.

TalentLyft

Education

maps to

Crelate

Contact sub-record (Education)

1:1
Fully supported

Education records in TalentLyft are sub-records on an Application, containing degree, institution, field of study, and dates. The TalentLyft API exposes dedicated endpoints for create, update, and delete on education entries per Application. Migration requires a two-pass approach: Applications are first staged to resolve parent-record IDs, then sub-records are pulled using the Application ID in the path and attached to the corresponding Crelate Contact. Education maps to Crelate's Contact education sub-record structure.

TalentLyft

Experience

maps to

Crelate

Contact sub-record (Experience)

1:1
Fully supported

Experience records (work history) in TalentLyft are sub-records on an Application with employer, title, dates, and description. Same two-pass approach applies: Applications are staged first, then experience sub-records are pulled and attached to the corresponding Crelate Contact as experience entries. The API supports CRUD on experience entries per Application. Employer and job title map directly; date ranges preserve as start and end date fields.

TalentLyft

Pipeline

maps to

Crelate

Pipeline (org-level configuration)

lossy
Fully supported

TalentLyft Pipelines define ordered stage sets assigned per Job. Crelate's pipeline stages are org-level picklist values shared across all Jobs rather than per-job. We configure the Crelate pipeline stage set during pre-migration setup, mapping each TalentLyft stage name and probability to a Crelate equivalent. Stage order is preserved in the picklist. This is an upfront configuration step; no data import depends on pipeline configuration beyond the Job-level reference.

TalentLyft

Pipeline Stage

maps to

Crelate

Pipeline Stage

lossy
Fully supported

Individual pipeline stages in TalentLyft (e.g., Applied, Phone Screen, Interview, Offer) map to Crelate picklist values within the configured pipeline stage set. Stage probability percentages migrate to the corresponding Crelate stage probability values. Stage names are mapped one-to-one where naming is consistent; synonym consolidation (e.g., 'Screening' and 'Phone Screen') is resolved during scoping with the customer's input.

TalentLyft

Department

maps to

Crelate

Organization

1:1
Fully supported

TalentLyft Departments are organizational units used to categorize Jobs. The API exposes GET/POST for departments. We migrate department names and IDs and map them to Crelate Organization records, or link them to Jobs as a custom field if the customer's Crelate org does not use Organizations actively. The mapping decision is confirmed during scoping.

TalentLyft

Location (Site)

maps to

Crelate

Location

1:1
Fully supported

Locations in TalentLyft specify where a Job is based. The API exposes GET /v2/codes/locations. We migrate location records and link them to Crelate Jobs at the destination. Location names and addresses map directly to Crelate's location fields on Job records.

TalentLyft

User (Team Member)

maps to

Crelate

User

1:1
Fully supported

TalentLyft User accounts represent hiring team members (recruiters, hiring managers). The API lists users with roles and assignments. Migration resolves TalentLyft user emails to Crelate User records by email match. Users without a matching Crelate account go to a reconciliation queue for the customer's admin to provision before record import resumes, because OwnerId references are required on most Crelate objects.

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.

TalentLyft logo

TalentLyft gotchas

High

No bulk export API forces chunked migration

High

Post-export activity is not migrated

Medium

Custom field schema is per-account with no export schema endpoint

Medium

Automation rules and email templates not portable

Low

Application-level education and experience require parent-record resolution

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • TalentLyft has no bulk export API

    TalentLyft's private REST API operates on individual records. For large candidate databases, data exits via the CRM CSV export (which sends a download link by email) or by paginated single-record API calls. We handle this by implementing cursor-based pagination over the candidates endpoint and chunking imports into batches of 100-200 records. The CSV export path is a fallback for customers with no API comfort; it captures candidate profile fields but excludes application-stage history, which we recover via API separately. Migration scoping must account for this two-path data collection.

  • Post-snapshot activity does not migrate

    TalentLyft's own migration documentation states that any data created after the export snapshot is excluded from migration. We apply the same rule: applications, candidate updates, or new pipeline stages created after the migration snapshot window are excluded. We recommend scheduling the migration during a low-activity period or running a final delta sync just before go-live. Any new records created during cutover require a separate, smaller delta migration at additional cost.

  • TalentLyft Talent Pools have no Crelate native equivalent

    TalentLyft Talent Pools are named curated candidate collections with their own pipeline views and pool-level analytics. Crelate has no named-pool object. We translate Talent Pools to Crelate Tags applied to the corresponding Contacts, with the pool name becoming the tag category. This preserves the membership relationship but loses pool-specific pipeline views and pool-level analytics. If the customer relies heavily on Talent Pool functionality, we document the gap during scoping so that the customer can plan an alternative segmentation strategy in Crelate before cutover.

  • Application-level education and experience require parent-record resolution

    Education and experience records in TalentLyft are nested sub-records on an Application, not top-level records. The API endpoints for these sub-records require both the candidate ID and application ID in the path. During migration, we first stage all Applications with their IDs, then resolve the parent-record chain before pulling sub-records. This two-pass approach adds one round of API calls per application and extends the migration timeline for accounts with large application histories. The application sub-record migration is the last phase to complete.

  • Automation rules and email templates do not migrate

    Automation rules (trigger-based email sends, auto-stage moves, CRM updates) and email templates with personalization tokens live in TalentLyft's configuration layer and are not accessible via the API. We do not migrate them. Customers must rebuild automation sequences in Crelate from scratch using Crelate's workflow tools (Automation and Sequencing are available on Business Plus tier). We provide a template audit document during scoping that lists every active automation and its trigger, giving the customer a checklist for manual rebuild.

Migration approach

Six steps for a successful TalentLyft to Crelate data migration

  1. Discovery and data audit

    We audit the source TalentLyft account across candidates, jobs, applications, pipelines, custom fields (Candidate and Application level), Talent Pools, users, departments, and locations. We also identify active automation rules and email templates for the rebuild inventory. For the destination, we confirm the Crelate edition (Business, Business Plus, or Enterprise) and verify API access is enabled for the migration user. The discovery output is a written scope document listing record counts per object, any known data quality issues, and the initial field mapping spreadsheet.

  2. Schema design and field mapping

    We design the Crelate destination schema before any data moves. This includes creating Contact custom fields to receive TalentLyft Candidate custom fields, creating Activity custom fields for Application-level data, configuring the pipeline stage picklist to match the TalentLyft stage set, and designing the Talent Pool-to-Tag translation table. For Crelate Jobs, we map department and location references. Each mapping is confirmed with the customer's admin in a field-by-field walkthrough for custom fields exceeding ten entries. The mapping spreadsheet is versioned and locked before test migration begins.

  3. Test migration and reconciliation

    We run a full migration into the Crelate environment using production-like data volume. The customer's team reconciles record counts (Contacts in vs Candidates sourced, Jobs in vs Jobs sourced, Activities in vs Applications sourced, Tags applied vs Talent Pool memberships), spot-checks 25-50 random records against TalentLyft source data, and reviews tag assignment accuracy. Any mapping corrections are applied to the migration scripts and the test is re-run. Sign-off from the customer's admin is required before production migration begins.

  4. User provisioning and owner reconciliation

    We extract every distinct TalentLyft user referenced on candidate, job, and application records and match by email against the Crelate destination User table. Users without a matching Crelate account go to a reconciliation queue for the customer's admin to provision before record import resumes. This step is a prerequisite for the production migration because OwnerId references are required on most Crelate objects.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Contacts (from Candidates, with custom fields resolved), Users (validated against Crelate User table), Jobs (with department and location resolved), Pipeline stage configuration (applied at org level before Application import), Activities (from Applications, linked to Contact and Job, with stage status and custom fields carried inside Activity data), Talent Pool memberships (Tags applied to Contact records), Education sub-records (attached to Contact after parent Contact is confirmed), Experience sub-records (same two-pass approach as education). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze TalentLyft writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the automation and email template inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. Automation rebuilds (Crelate's Automation and Sequencing features) are handled by the customer's admin or a Crelate implementation partner and are outside the migration scope.

Platform deep dives

Context on both ends of the pair

TalentLyft logo

TalentLyft

Source

Strengths

  • All-in-one ATS, CRM, career-site builder, and analytics under one subscription for small and mid-sized teams.
  • Per-job-tier pricing model (not per-seat) keeps costs predictable for growing recruiting teams.
  • Highly responsive customer support rated 4.9/5 across verified review platforms.
  • 14-day free trial and under-two-weeks implementation lets teams evaluate and onboard quickly.
  • Talent Pool concept enables long-term candidate relationship management beyond active requisitions.

Weaknesses

  • No bulk API for high-volume candidate migration; data leaves TalentLyft via CSV export or single-record API calls.
  • Reporting lacks advanced analytics, custom report builder, and trend analysis for data-driven hiring teams.
  • Candidate email replies route to recruiter inboxes rather than remaining inside TalentLyft for full conversation tracking.
  • Pipeline customization is limited, making it difficult to model complex or role-specific hiring workflows.
  • Mobile app functionality is reduced compared to the desktop experience.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

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 TalentLyft and Crelate.

  • 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

    TalentLyft: Not publicly documented in available documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your TalentLyft to Crelate 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 TalentLyft to Crelate data migrations

Answers to the questions buyers ask most during TalentLyft to Crelate migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your TalentLyft to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between two and three weeks for accounts under 5,000 candidates with straightforward 1:1 object mapping and no complex custom field sets. Migrations with large application histories (over 20,000 Application records), active Talent Pools requiring tag translation, 10+ custom fields requiring explicit mapping sessions, or multiple pipeline configurations requiring stage reconfiguration move to five to nine weeks. The two-pass approach required for Application sub-records (education and experience) also extends the timeline for data-heavy accounts.

Adjacent paths

Related migrations to explore

Ready when you are

Move from TalentLyft.
Land in Crelate, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day