HRMS migration

Migrate from SignalHire to Crelate

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

SignalHire logo

SignalHire

Source

Crelate

Destination

Crelate logo

Compatibility

58%

7 of 12

objects map 1:1 between SignalHire and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

SignalHire is a B2B contact database and enrichment platform — it surfaces professional profiles, verified emails, phone numbers, and social links but provides no candidate management, job posting, or placement tracking capabilities. Crelate is a recruitment platform combining an ATS, Recruiting CRM, and intelligent sourcing in one system. These platforms serve different roles: SignalHire is a prospecting data source; Crelate is a full recruiting workflow engine. Migrating between them requires mapping flat contact records (People Profiles with verification scores and multiple email/phone variants) into Crelate's relational schema (Candidates with Skills, Tags, Job Orders, Clients, and Placement records). We extract SignalHire People Profiles with all returned contact fields, verification status, and social links; map company enrichment data to Crelate Clients and Client Contacts; reconstruct lead list membership as Tags and Candidate Groups; and transfer engagement metadata if present. We do not migrate SignalHire credit balances, integration configurations, or the SignalHire browser extension. SignalHire's lack of a documented bulk export feature means migration scoping must account for API and CSV-based extraction. Crelate's own migration guides confirm the typical timeline of one to three weeks for straightforward transfers, scaling with record volume and schema complexity.

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

SignalHire logo

SignalHire

What's pushing teams away

  • The 'Unlimited' plan hides a 5,000-credit-per-month fair-usage cap in tooltip text, not on the pricing page, leading to budget surprises when teams exceed the limit.
  • Data freshness is inconsistent — multiple G2 reviews cite outdated email addresses and phone numbers that no longer reach the intended contacts.
  • Credit costs add up quickly on the lower tiers — the Phones plan delivers only 435 credits per month at $69, making phone-only outreach expensive relative to alternatives.
  • Platform coverage is skewed toward US and Western markets; users conducting global recruitment report significantly lower match rates outside these regions.
  • No native ATS capabilities mean SignalHire is purely a data source; teams needing full recruiting workflows still require a separate ATS.

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 SignalHire objects map to Crelate

Each row shows how a SignalHire 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.

SignalHire

People Profile

maps to

Crelate

Candidate

1:1
Fully supported

SignalHire People Profile records map to Crelate Candidate records. We extract the SignalHire UID, full name, current job title, company, location, LinkedIn profile URL, and all returned work history entries. SignalHire's email verification status (Valid/Risky/Unknown) and deliverability score migrate as custom fields on the Crelate Candidate record. If the candidate's SignalHire profile includes multiple email addresses, the primary (highest-confidence) email maps to Crelate's primary contact field and alternates populate a custom multi-email field.

SignalHire

Company Profile

maps to

Crelate

Client + Client Contact

1:many
Fully supported

SignalHire Company Profiles (30M+ scraped records) do not map directly to Crelate Clients because SignalHire company data lacks the firmographic depth and relationship ownership that Crelate Clients require. We extract company name, domain, industry, size range, and LinkedIn company URL from SignalHire Company Profiles and use them as a preliminary enrichment layer: where a matching Crelate Client or Client Contact already exists, we attach the SignalHire company data as a custom enrichment block. For net-new company records, we create a Crelate Client stub with the SignalHire-sourced domain and industry. Recruiters must validate and enrich the Client record with owned firmographic data post-migration.

SignalHire

Email Address (verified)

maps to

Crelate

Candidate: Primary Email + enrichment custom field

1:1
Fully supported

SignalHire returns email addresses with a verification status (Valid, Risky, Unknown) and a confidence score. We map the Valid emails to Crelate's standard email field on the Candidate record, preserving the SignalHire verification status in a custom field signalhire_email_status__c and the confidence score in signalhire_email_score__c. Risky and Unknown emails migrate to a custom multi-email field signalhire_alternate_emails__c as a semicolon-delimited list. This preserves the full SignalHire enrichment signal for the recruiter to act on inside Crelate.

SignalHire

Phone Number

maps to

Crelate

Candidate: Phone + Mobile

1:1
Fully supported

SignalHire phone records include country code, line type (mobile/landline), and verification confidence. The primary phone (highest confidence) maps to Crelate's Candidate phone field. Additional phones with a mobile line type map to the mobile phone field. All returned phone variants with line type metadata migrate to a custom field signalhire_phones__c as a structured text block (format: '+1XXXXXXXXXX [mobile]'). The verification confidence score is preserved in signalhire_phone_score__c.

SignalHire

Social Profile Links

maps to

Crelate

Candidate: LinkedIn URL + custom social links field

1:1
Fully supported

SignalHire stores social profile URLs (LinkedIn, Twitter, GitHub, etc.) as URL arrays per person. The LinkedIn URL migrates to Crelate's LinkedIn URL field if present. All other social links (Twitter, GitHub, Xing, etc.) migrate to a custom field signalhire_social_links__c as a JSON-encoded list or semicolon-delimited string. The platform identifier for each link is preserved for downstream segmentation.

SignalHire

Lead List / Talent Pool

maps to

Crelate

Candidate: Tag + Group

many:1
Fully supported

SignalHire lead lists and talent pools are many-to-many relationships between list IDs and People Profile UIDs. We reconstruct each named list as a Crelate Candidate Group (the primary container) and add the constituent members as Candidate Group entries. The original SignalHire list name and list ID are preserved as group metadata fields. Candidates that appeared in multiple SignalHire lists receive multiple Crelate Group memberships. This mapping requires enumerating all distinct list IDs in the source account during discovery, as SignalHire does not expose list membership through a single API endpoint.

SignalHire

SignalHire UID

maps to

Crelate

Candidate: signalhire_uid__c (custom field)

1:1
Fully supported

The SignalHire-generated unique identifier (UID) for each People Profile migrates as a read-only custom field on the Crelate Candidate record. This field serves as the migration provenance reference and allows the customer to cross-check any migrated record back to the original SignalHire profile. The field is not used for deduplication because Crelate generates its own Candidate IDs.

SignalHire

Work History

maps to

Crelate

Candidate: Employment History entries

1:many
Fully supported

SignalHire People Profiles include work history entries (job title, company name, start date, end date, description). These map to Crelate's Candidate employment history section as discrete entries with job title, company, dates, and description preserved. The most recent work history entry from SignalHire becomes the Candidate's current position, which Crelate surfaces in search and list views. We flag any work history entries where the SignalHire company name differs from the matched Crelate Client name for reconciliation.

SignalHire

SignalHire verification status (overall)

maps to

Crelate

Candidate: signalhire_profile_score__c (custom field)

lossy
Fully supported

SignalHire surfaces an aggregate verification score per profile combining email, phone, and social link confidence. We extract this composite score and migrate it as a numeric custom field signalhire_profile_score__c on the Candidate record. Recruiters can use this field to sort and filter migrated prospects by data quality at time of migration. Crelate's native candidate scoring is separate and can be applied by the recruiting team post-migration.

SignalHire

SignalHire team members (roster)

maps to

Crelate

Crelate: User provisioning (admin reconciliation)

1:1
Fully supported

SignalHire team plans include a team roster with name, email, and role. We export the team roster as a structured list and hand it to the customer's Crelate admin for User provisioning. SignalHire team member roles (Admin, Member) do not map directly to Crelate User Roles and Permissions, which are defined per Crelate tier. The admin maps each SignalHire team member to the appropriate Crelate seat and permission level. We do not migrate SignalHire team member records as Crelate Users directly because user provisioning requires admin action and identity verification.

SignalHire

SignalHire integration settings

maps to

Crelate

Crelate: CRM/ATS integrations (rebuild required)

lossy
Fully supported

SignalHire CRM and ATS integrations (Salesforce, Pipedrive, Zoho field mappings, sync directions, webhook URLs) are destination-specific and do not migrate. We export the raw SignalHire contact data; the customer must reconfigure integrations in Crelate's Business tier integrations (Google Calendar, Outlook Calendar, RingCentral, Indeed, Dice, CareerBuilder, Monster, Zapier, and Crelate's API access). We provide a written inventory of every active SignalHire integration as a reference for the Crelate admin to rebuild.

SignalHire

SignalHire credit balance

maps to

Crelate

Not migrated

1:1
Fully supported

Credits are a SignalHire-specific billing mechanism with no Crelate equivalent. We do not migrate credit balances. Unused SignalHire credits are forfeited at account cancellation. The migration cost and timeline are scoped independently of any remaining credits; the customer should exhaust or accept forfeiture of credit balances before cancellation.

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.

SignalHire logo

SignalHire gotchas

High

Unlimited plan credit cap is hidden in tooltip text

Medium

Credit consumed per lookup, not per successful result

Medium

API async mode requires a publicly accessible callback URL

Low

Company profiles are scraped derivatives, not authoritative records

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

  • SignalHire has no documented bulk export feature

    SignalHire is designed for ongoing prospecting, not data portability. There is no publicly documented bulk export endpoint or documented data dump process. We extract People Profile and Company Profile data via the SignalHire API (synchronous lookup mode with retry logic to avoid callback URL requirements) and any CSV enrichment exports the customer has generated. API rate limits on the SignalHire platform mean high-volume migrations require batch throttling. We scope extraction time separately from load time and account for API pagination limits during discovery. Teams that have not exported CSV enrichment files from SignalHire should do so before migration begins.

  • SignalHire company data is scraped, not authoritative

    SignalHire's 30M+ company records are aggregated from professional profile pages rather than sourced from official company registries. Job titles, company names, industry tags, and headcount reflect what was scraped at time of lookup, not live company databases. Migrating SignalHire company data into Crelate's Client records without validation risks creating Crelate Clients with stale or incorrect firmographic data. We treat SignalHire Company Profiles as enrichment data and map them as preliminary Client stubs or custom enrichment blocks rather than authoritative Crelate Client records. The customer's recruiting team validates and enriches Client records post-migration.

  • Lead list many-to-many relationships require manual enumeration

    SignalHire lead lists and talent pools are many-to-many relationships between list IDs and People Profile UIDs. SignalHire does not expose list membership through a single API endpoint — we must enumerate each list by ID and then retrieve constituent profile UIDs individually. For accounts with dozens of lead lists and thousands of members, this multi-step enumeration adds discovery time and API call volume. We account for this during scoping by requesting the full list of list IDs from the customer and estimating API call volume based on list sizes before finalizing migration estimates.

  • SignalHire credit costs apply to extraction, not just results

    SignalHire deducts credits when a lookup is performed regardless of whether a valid email or phone is returned. Failed lookups (no data found) still consume the credit. During migration scoping, we calculate expected credit consumption based on total lookups performed, not total successful results. Customers who have exhausted their SignalHire credit pool before migration begins may not be able to re-extract their existing profile data. We recommend performing a full data extraction from SignalHire before the subscription renewal date when credits reset, and we flag this timing constraint during discovery.

  • Crelate per-seat pricing may increase costs for small SignalHire teams

    SignalHire's shared credit pool model charges one subscription fee regardless of team headcount. Crelate charges per user per month ($119 Business, $144 Business Plus). Teams of 1-3 recruiters who rely heavily on SignalHire's unlimited-user plan may see a cost increase when migrating to Crelate if the per-seat model applies to their full team. We include a pricing comparison during discovery that factors in team size, SignalHire plan tier, and expected Crelate seat count so the customer understands the total cost of ownership before committing to migration.

Migration approach

Six steps for a successful SignalHire to Crelate data migration

  1. Discovery and data audit

    We audit the customer's SignalHire account for People Profile count, Company Profile count, distinct lead list IDs and sizes, email/phone/social link field density, and any CSV enrichment exports already generated. We also identify the SignalHire API rate limits and estimate credit consumption for re-extraction. In parallel, we review the Crelate Business or Business Plus configuration, existing Crelate Users and permission structure, and any Client or Job records already present. The discovery output is a written migration scope with record counts per object, a list of SignalHire lead lists to reconstruct as Crelate Candidate Groups, and a credit-consumption estimate for the extraction phase.

  2. Schema design and custom field provisioning

    We design the destination Crelate schema including custom fields on the Candidate record (signalhire_uid__c, signalhire_email_status__c, signalhire_email_score__c, signalhire_phone_score__c, signalhire_phones__c, signalhire_social_links__c, signalhire_profile_score__c, signalhire_alternate_emails__c) and any Candidate Group metadata fields needed to preserve SignalHire list names. Custom fields are provisioned in the Crelate test environment before any data loads. If Crelate Client records are to be created from SignalHire Company Profiles, we configure those custom fields on the Client object as well.

  3. Extraction and staging

    We extract People Profiles via the SignalHire API in synchronous mode with batch chunking and exponential backoff. We pull all returned fields per profile including work history, email variants with verification status, phone variants with line type, and social links. Company Profiles are extracted separately and joined to People Profiles by company domain for deduplication. Lead list membership is enumerated by list ID, producing a membership table of list ID to profile UID. All extracted data stages in a structured CSV and JSON format before transformation begins.

  4. Transformation and deduplication

    We transform extracted SignalHire records into Crelate Candidate format: primary email to the Crelate email field, primary phone to the Crelate phone field, verification status and confidence to custom fields, LinkedIn URL to the Crelate LinkedIn field, and all additional contact variants to enrichment custom fields. Work history entries transform into Crelate employment history records. The lead list membership table transforms into Candidate Group entries. We deduplicate Candidates by email address (exact match) and by SignalHire UID before loading to prevent duplicate records in Crelate.

  5. Test migration and reconciliation

    We run a full test migration into the customer's Crelate test environment. The customer's recruiting lead spot-checks 25-50 randomly selected Candidates against the original SignalHire profiles: name accuracy, email correctness, phone presence, LinkedIn URL validity, and lead list membership reconstruction. Any mapping corrections (wrong field, missing data, formatting issue) are logged and corrected before production migration. Crelate's test environment access is a prerequisite; we coordinate with the customer's Crelate admin to provision test access before this step.

  6. Production migration and cutover

    We run the production migration in dependency order: Crelate Users validated (if any SignalHire team members map to existing Crelate users by email), Candidate records loaded with all custom enrichment fields, Candidate Group membership reconstructed from the lead list membership table, and Client stubs created for unmatched company domains. SignalHire writes are frozen during the production cutover window. We run a delta pass to capture any records modified during the window. Crelate becomes the system of record. We deliver the integration inventory document and the custom field reference guide for the Crelate admin to complete integration reconfiguration. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

SignalHire logo

SignalHire

Source

Strengths

  • Large-scale B2B contact database with 850M+ profiles aggregated from public professional networks.
  • Browser extension for one-click contact extraction directly from LinkedIn profile pages.
  • Dual-mode API with synchronous lookup and asynchronous batch processing via callback URL.
  • Verified deliverability status on every email address with confidence scoring.
  • Shared credit pool across unlimited users on paid plans simplifies team licensing.

Weaknesses

  • Credit-based pricing creates unpredictable costs as record volumes grow; 'unlimited' branding obscures hard caps.
  • Data accuracy and freshness are recurring complaints in user reviews, particularly for international records.
  • No ATS, onboarding, or candidate management features — purely a data-enrichment tool.
  • Integration ecosystem is limited to major CRMs and ATS platforms with no self-service field mapping.
  • Historical data export is not a documented feature; SignalHire is designed for ongoing prospecting rather than data portability.
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 SignalHire 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

    SignalHire: Not publicly documented; credits serve as the primary usage gate rather than explicit request-rate limits.

  • Data volume sensitivity

    A

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

Estimator

Estimate your SignalHire 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 SignalHire to Crelate data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts with fewer than 20,000 People Profiles, straightforward lead list structures, and no pre-existing Crelate data requiring merge reconciliation. Migrations exceeding 20,000 profiles, dozens of lead lists with overlapping membership, or parallel Crelate configuration (custom fields, Client records, Job Orders) extend to eight to fourteen weeks. Crelate's own migration guide confirms one to three weeks for their managed migration service; FlitStack AI timelines account for SignalHire's lack of a bulk export API, which adds extraction scoping time not present in typical ATS-to-ATS migrations.

Adjacent paths

Related migrations to explore

Ready when you are

Move from SignalHire.
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