A recruit CRM that handles the candidate pipeline and the client pipeline on parallel boards without two separate tools.
Bullhorn, Loxo, and the Recruit CRM product line all handle one half of the staffing motion well and the other half poorly. The real work spans a candidate pipeline (sourced to placed), a client pipeline (prospect to signed), and a many-to-many between them that most tools model badly. Strkr runs both pipelines on one workspace with the junction between candidates and roles as a first-class record.
Recruit CRM evaluation runs on specific pain points that are different from a sales CRM evaluation. The data model has to handle candidates (people), clients (companies), roles (open requisitions at the client), submissions (a candidate being considered for a role), and placements (a candidate hired into a role) as five distinct objects with specific relationships. Loxo and Bullhorn built strong candidate-side features and weaker client-side features. The Recruit CRM product does the opposite. Most firms end up running two tools and syncing between them manually, which is where the pain concentrates. The specific issues below are the ones we hear on every call where a staffing firm principal is tired of the current stack and the renewal is coming due.
The two-tool problem
Candidate tool, client tool, manual sync between them.
Most staffing firms run two separate systems: a candidate-tracking ATS (Bullhorn, Loxo, Greenhouse) and a client-side CRM (Salesforce, HubSpot, custom spreadsheet). The sync between them is manual: a recruiter closing a placement updates the ATS, then opens the CRM to update the client account, then updates the commission tracker separately. The duplicate data entry burns 20 to 40 minutes per placement and introduces drift between the two systems. Strkr runs both pipelines on one workspace.
The many-to-many problem
One candidate for three roles at one client is messy.
A candidate can be submitted to multiple roles across multiple clients simultaneously, and a role can have multiple candidates in consideration. Most ATS tools model this with a submission object or a candidate-role junction, but the UX for the recruiter trying to see the full picture is awkward. Strkr's workspace models the submission as a first-class record with explicit relationships to the candidate, the role, and the client, which lets the recruiter navigate the many-to-many cleanly.
LinkedIn as the sourcing surface
LinkedIn Recruiter data lives outside the ATS.
LinkedIn Recruiter is where most sourcing happens, and the data captured there (connection accepts, InMail replies, saved candidates) usually does not flow back to the ATS cleanly. Recruiters either duplicate the data entry or lose the activity history. Strkr's Chrome extension captures LinkedIn Recruiter activity directly on the candidate record so the sourcing history lives on the same object as the submission history.
Placement fee tracking
The commission math lives in a spreadsheet.
Placement fees and commission math in most staffing firms live in a spreadsheet maintained by the office manager or the finance lead. The fee structure varies by placement type (permanent, contract, contract-to-hire), by client agreement, by recruiter role (sourcer, closer, lead), and by split arrangement when multiple recruiters contribute. Strkr models placement fees as a first-class record with the fee structure, the split percentages, and the invoice status on the record.
Compliance and candidate privacy
GDPR for EU candidates, EEO data in the US.
Candidate data carries specific compliance obligations: GDPR for EU-resident candidates (right to deletion, right to data portability, lawful basis for retention), EEO data for US candidates (statistics without discriminatory use), and background-check retention periods that vary by state and jurisdiction. Strkr's compliance surface handles these as first-class concerns with the data retention policies, the deletion workflows, and the EEO-data separation configurable per workspace.
Candidate database decay
Half your candidates are stale within 18 months.
Candidate databases decay fast because people change jobs, update titles, move cities. A candidate record that was fresh at the submission 18 months ago is probably out of date now. Firms that do not actively refresh the database end up with half the records being stale within two years. Strkr's candidate-refresh flow re-enriches contacts on a configurable cadence and surfaces the records that have likely moved, which keeps the database usable past the two-year mark.
The two parallel pipelines
How Strkr handles the candidate side and the client side.
A staffing firm runs two parallel pipelines: a candidate pipeline moving candidates from sourced through placed, and a client pipeline moving client accounts from prospect through signed. The two pipelines intersect at the submission (a candidate being considered for a role at a client). Strkr handles both pipelines on one workspace with the submission as the junction object, which is the model that fits the real motion rather than the two-tool compromise.
The candidate pipeline runs through sourcing (identified a potential candidate), screening (initial phone screen or qualifying call), submission (candidate submitted to a specific client role), interviewing (candidate in interview process), offer (client made an offer), placed (candidate accepted and started). Each stage has specific entry and exit criteria defined explicitly so the pipeline hygiene stays clean.
Client pipeline stages
Prospect, Signed, Active, Dormant.
The client pipeline runs through prospect (BD outreach in progress), signed (MSA executed, client is working with the firm), active (open roles in flight), dormant (no active roles for 90+ days but relationship intact). The client pipeline is slower-moving than the candidate pipeline and often needs a dedicated BD cadence rather than mixing with the candidate work.
Role records
Each open requisition as a first-class record.
Each open role at a client is a first-class record with the role title, salary range, requirements, hiring manager contact, submission deadline, and current status. Roles link to the client account and to the candidates currently in consideration. Open-role dashboards per client help the BD team see where they are concentrated and where they are thin.
Submission records
The junction between a candidate and a role.
A submission is the junction record linking a candidate to a specific role at a specific client. It carries the submission date, the submitting recruiter, the status (pending, interviewing, rejected, placed), and the client feedback. A candidate can have multiple active submissions; a role can have multiple candidates. The submission is the record that gets reported on for placement productivity metrics.
Placement records
Candidate hired, fee tracked, commission split.
A placement record is created when a candidate accepts an offer and starts. It carries the placement fee (percentage of first-year salary for permanent, markup percentage for contract), the invoice schedule, the commission split percentages across the contributing recruiters, and the guarantee period. Placements are the revenue event and the artifact that drives the end-of-quarter commission report.
LinkedIn integration
Recruiter activity logged on the candidate record.
The Strkr Chrome extension captures LinkedIn Recruiter activity (profile viewed, InMail sent, connection accepted, candidate saved) on the matching candidate record. If no candidate record exists, the extension creates one with the LinkedIn profile data pre-populated. Recruiters work in LinkedIn Recruiter natively and the activity history flows back to Strkr without duplicate entry.
Resume parsing and search
The candidate database that you can actually find people in.
Resumes uploaded to the candidate record parse into structured fields: current title, past employers, education, skills, certifications. The search surface runs Boolean queries across the full database (title contains "VP" AND skills contains "python" AND location within 50 miles of San Francisco) with sub-second results on databases up to roughly 100,000 candidates. Resume search is the capability most recruiters live in day to day.
Commission structures
The fee math per placement type, per recruiter role.
Commission structures model the fee splits across the contributing recruiters: sourcer gets 20 percent, closer gets 50 percent, account lead gets 20 percent, firm overhead gets 10 percent, with variations by placement type. Strkr computes the splits automatically on placement creation and surfaces the per-recruiter commission totals on the dashboard. The end-of-quarter commission report runs without a spreadsheet reconstruction.
GDPR deletion requests process through the admin console with the audit trail attached. EEO data (ethnicity, gender) captures on a separate record with access restricted to compliance roles and never used in the matching surface. Retention policies retire candidate data after a configurable period (typically 3 to 7 years based on jurisdiction) with the deletion logged. The compliance surface is designed around the actual regulatory requirements rather than treated as an afterthought.
How recruiters actually work on Strkr
The daily motion from a desk.
Recruiters live in search, sourcing, and submission activity throughout the day, with the client-side work concentrated in BD rhythms the lead recruiter or managing director owns. The daily motion below is what we see on productive Strkr workspaces, with the specific tool surfaces each role touches during a typical day.
Morning: active submission review
What landed overnight.
The recruiter opens the submission view at the start of the day and reviews what moved: candidates advanced to interview, candidates rejected with feedback, clients requesting additional profiles. The view shows every active submission across every role the recruiter is working on, which replaces the usual email-and-Slack reconstruction. The morning review runs in roughly 15 minutes.
Mid-morning: candidate screens
The phone or video screens scheduled for today.
Candidate screens scheduled for the day run with the candidate record open on screen: resume, LinkedIn history, past submissions, prior firm interactions if any. The recruiter takes notes directly on the record or uses the Strkr AI call-summary feature to transcribe and summarize. Each screen typically runs 20 to 30 minutes with the notes captured without context-switching.
Afternoon: sourcing
LinkedIn Recruiter with the Chrome extension open.
Afternoons are usually sourcing time: searching LinkedIn Recruiter, running InMail campaigns, following up on connection accepts. The Strkr Chrome extension logs each action on the matching candidate record (or creates a new one). The recruiter stays in LinkedIn Recruiter natively and the activity flows back without manual entry.
Late afternoon: submissions
Writing up and sending candidate submittals.
Candidates ready for submission get written up (summary paragraph, resume attached, salary expectations) and sent to the client via Strkr's submission flow. The submission creates the junction record automatically and tracks client acknowledgment. For high-volume desks, the recruiter can submit 5 to 10 candidates in an afternoon with the Strkr AI drafting the summary paragraph from the candidate record.
End of day: pipeline review
Which roles need more candidates and which are overflowing.
The end-of-day pipeline review surfaces which open roles are thin on candidates (fewer than three in consideration) and which are overflowing (more than eight active submissions). Thin roles get the next day's sourcing priority. Overflowing roles may need a client conversation about rejecting the longer tail. The review runs in 10 minutes and sets the next-day plan.
Weekly BD cadence
Thursday afternoon client outreach.
Business development runs on a weekly cadence rather than a daily motion. The managing director or lead recruiter typically blocks Thursday afternoon for BD outreach: new client prospecting, existing-client check-ins, MSA conversations. The Strkr client-pipeline view scopes to prospects and dormant accounts and the BD-specific activities get logged separately from the candidate-side work.
Specialty motions beyond general staffing
Where the recruit CRM shape has to flex.
General staffing firms run the two-pipeline model cleanly. Specialty motions (executive search, contract staffing, RPO, boutique niche firms) have specific deviations from the general shape that the recruit CRM needs to flex around. The patterns below cover the common specialty motions and the configurations Strkr workspaces run for each.
Executive search
The long engagement with retainer billing.
Executive search engagements run 3 to 9 months with retainer billing (one-third on signing, one-third on shortlist delivery, one-third on placement). The engagement is more client-centric than candidate-centric: the firm commits to delivering a shortlist, not sourcing volume. Strkr's workspace for exec search models the engagement as a first-class record with the retainer schedule, the shortlist milestones, and the exclusivity terms attached.
Contract staffing
Hourly bill rates and timesheet approval.
Contract staffing firms deal with hourly bill rates, timesheet approval, pay-vs-bill margin, and contract extensions. The placement record carries the hourly rate, the markup, and the recurring invoice schedule rather than a one-time fee. Strkr handles contract placements with the recurring-revenue model and integrates with the common timesheet tools (Paychex, ADP, Nextep) for approval flows.
RPO (recruitment process outsourcing)
Embedded recruiters working inside the client's pipeline.
RPO engagements embed the firm's recruiters inside the client's hiring process, often running against the client's own ATS. The workspace shape differs: more roles per client, longer-term engagements, metrics around time-to-fill rather than placement count. Strkr supports RPO workspaces with the external-ATS integration (Greenhouse, Lever, Workday) so the embedded recruiters work in the client's tool and the firm sees the full activity rolled up.
Boutique niche recruiting
Deep candidate relationships over long horizons.
Boutique niche firms (life sciences biotech, hedge funds, specific technical roles) build deep candidate relationships over 5 to 10 year horizons. The candidate database is smaller (1,000 to 5,000 records) but the relationship depth is much higher. Strkr workspaces for boutique niche firms often turn off most automation and lean heavily on the activity-timeline view that preserves the full relationship history.
High-volume contingency
A hundred placements a month at modest fees.
High-volume contingency firms place dozens of candidates per month at smaller fees per placement. The motion is throughput-driven: screening volume, submission volume, close rate. Strkr workspaces for high-volume contingency firms run heavier automation (auto-reject by criteria, bulk sourcing from LinkedIn, templated submission messages) because the per-placement margin requires it.
Internal corporate recruiting
The in-house talent team using Strkr as an ATS.
In-house talent teams at mid-market companies sometimes adopt Strkr as a lightweight ATS alternative to Greenhouse or Lever, particularly when the hiring volume is modest (20 to 50 hires per year) and the integration with the broader CRM is appealing. The workspace shape differs: no client pipeline, higher reliance on the internal-hire workflow and the hiring-manager collaboration surface.
Head-to-head
Strkr vs Bullhorn for a mid-sized staffing firm.
Bullhorn is the dominant platform in the mid-market staffing segment and the most common comparison on the "recruit CRM" search. Here is the honest side-by-side for a mid-sized staffing firm evaluating a replacement.
Feature
Strkr
Bullhorn (ATS + CRM bundle)
Candidate pipeline
Native with configurable stages
Native, mature feature set
Client pipeline
Parallel pipeline on same workspace
Client-side present but less prominent than candidate side
Submission junction record
First-class record with explicit relationships
Submission supported; UX varies by configuration
LinkedIn Recruiter integration
Chrome extension logs activity natively
Native integration available on higher tiers
Placement fee tracking
Native with commission splits
Native with configurable fee math
Timesheet and billing for contract
Integrates with Paychex, ADP, Nextep
Native with Bullhorn Back Office add-on
Pricing posture
Flat per seat with capabilities included
Per-seat with modules gated to higher tiers
Implementation time
3 to 5 weeks typical
8 to 16 weeks typical
Admin burden
Part-time admin role
Often dedicated certified Bullhorn admin
AI capabilities
Strkr AI drafts summaries and submissions
Bullhorn AI (SourceBreaker) available separately
How teams use Strkr
Staffing firms running on Strkr today.
The playbooks below are motions live on recruit CRM workspaces right now. Each one combines the two-pipeline model with a specific operating rhythm, and the thread across them is that the candidate side and the client side work from the same data rather than two tools in loose sync.
Mid-market staffing firm, 24 recruiters
Replacing Bullhorn with Strkr, cutting commission-report time by 80 percent.
A twenty-four-recruiter mid-market staffing firm had been on Bullhorn for six years with a dedicated admin maintaining the configuration. The end-of-quarter commission report took the office manager roughly 25 hours of spreadsheet reconciliation. On Strkr, the commission splits computed natively on placement creation and the end-of-quarter report ran in roughly 4 hours of review rather than reconstruction. The office manager told us the Friday after close of quarter stopped feeling like a dedicated job.
Executive search boutique, 7 partners
Engagement-centric workspace with retainer milestone tracking.
A seven-partner executive search boutique configured a Strkr workspace centered on engagement records (not candidate volume). Each engagement carried the retainer schedule, the shortlist milestones, and the exclusivity window. The managing partner ran a weekly engagement review across the active book with the milestone status visible on one view. Average time to shortlist delivery dropped roughly 18 percent over the first two quarters, which the partners attributed to the explicit milestone visibility.
Contract staffing firm, 14 recruiters
Hourly bill rate and markup tracking with timesheet integration.
A fourteen-recruiter contract staffing firm had been running placements through QuickBooks for billing with manual bill-rate tracking in a spreadsheet. On Strkr, the placement record carried the hourly bill rate, the pay rate, the markup percentage, and the recurring invoice schedule. The Paychex timesheet integration synced hours and the invoice generation ran automatically. The firm principal told us the move cut invoice-dispute incidents by roughly 60 percent in the first quarter.
High-volume contingency, 32 recruiters
Throughput-focused workspace with heavy automation.
A thirty-two-recruiter high-volume contingency firm placed roughly 80 to 110 candidates per month across light-industrial and warehouse roles. The workspace ran heavier automation than the typical configuration: auto-rejection by basic criteria, templated submission messages, bulk SMS outreach for interview scheduling. The firm principal called the SMS layer "the single biggest change" because candidate response rates on scheduling SMS ran roughly 3x the email baseline for the segment.
Boutique life-sciences recruiting, 4 partners
Deep-relationship model with long-horizon activity timelines.
A four-partner life-sciences recruiting boutique built relationships with roughly 1,800 senior biotech scientists over a decade. The Strkr workspace turned off most automation and leaned heavily on the activity-timeline view with every conversation preserved. The partners used the search surface to find candidates for engagements with 10 years of relationship context attached. The firm's managing partner told us she had been looking for a tool that would not force her to compromise on history preservation for 15 years before Strkr landed in the evaluation.
A recruit CRM where candidates, clients, and placements live on one record.
Strkr runs the candidate pipeline, the client pipeline, and the junction between them on one workspace. Start a trial, import your current candidate database, point your LinkedIn Recruiter at the Chrome extension, and see the two-tool pattern collapse into one surface within the first month.
Does Strkr replace a full ATS like Bullhorn or Greenhouse?
For staffing firms (where candidates get placed into roles at external client companies), Strkr covers the full ATS plus the client-side CRM on one workspace, which is the shape that fits the staffing motion natively. For in-house corporate recruiting (where a hiring team sources candidates for internal roles), Strkr works as a lightweight ATS alternative but Greenhouse and Lever remain the stronger choice for teams with high hiring volume (over 100 hires per year) or complex interview-structure needs. The dividing line is roughly: if your business is finding candidates for client companies, Strkr fits better than a general ATS. If your business is hiring for yourself and you run heavy structured-interview flows, Greenhouse or Lever remain the stronger choice.
How does the LinkedIn Recruiter integration actually work?
The Strkr Chrome extension installs in the recruiter's browser and runs alongside LinkedIn Recruiter. When the recruiter views a candidate profile, sends an InMail, accepts a connection, or saves a candidate in LinkedIn, the extension captures the action and logs it on the matching candidate record in Strkr. If no candidate record exists, the extension creates one with the LinkedIn profile data pre-populated (current title, employer, location, education, skills). The integration respects LinkedIn's terms of service and does not scrape data outside the recruiter's own LinkedIn Recruiter workflow. For firms running LinkedIn Recruiter heavily, the extension typically cuts candidate-data-entry time by 40 to 60 percent per sourced candidate.
Can we migrate historical candidate data from Bullhorn or Loxo cleanly?
Yes. Strkr's import flow accepts Bullhorn exports and Loxo exports with the candidate records, past submissions, past placements, and client accounts migrated. The historical activity timeline (notes, emails, calls) migrates where the exports include it; some fields may not have perfect parity depending on the export completeness. For a typical mid-market firm with 50,000 candidates and 10 years of history, the migration runs 4 to 6 weeks including the validation review. We publish a detailed migration guide for Bullhorn and Loxo specifically, and the enterprise onboarding packet includes a dedicated migration engineer for the full data transition. Firms sometimes keep the Bullhorn or Loxo instance in read-only mode for the first year post-migration as a historical reference, which is a reasonable pattern for teams concerned about data completeness.
How does Strkr handle commission splits across multiple contributing recruiters?
Commission structures model the splits across contributing recruiters by role: sourcer, closer, account lead, firm overhead. The structure can vary by placement type (permanent, contract, contract-to-hire), by client agreement (some clients have custom fee structures), and by seniority of the placement. On placement creation, the recruiter assigns the contributing roles and the system computes the splits automatically. The commission dashboard shows each recruiter's running total by quarter with the breakdown by placement. The end-of-quarter commission report runs in a 30-minute review rather than a 25-hour spreadsheet reconstruction. For firms with complex payout timing (commission split by invoice-collection date rather than placement date), the system supports both models configurably.
What about compliance for candidates in regulated industries like financial services or healthcare?
Candidates placed into regulated industries carry specific compliance surfaces: FINRA Form U4 for financial-services roles, OIG exclusion-list screening for healthcare roles, state licensure verification for various professional fields. Strkr handles these as workflow steps that must complete before a placement can be marked closed. The audit log preserves the verification evidence (which background-check vendor ran the check, which date, which result) on the placement record. For firms running specific vertical motions, we configure the compliance workflow during onboarding so the required steps are gated into the placement flow rather than relying on recruiter memory. GDPR deletion requests process cleanly with the deletion event logged on the candidate record for the required retention period after deletion.
How does Strkr compare on pricing for a 15-recruiter firm?
A 15-recruiter firm on Strkr's Pro tier typically runs at a flat per-seat line that comes in materially below the comparable Bullhorn configuration, which gates the full CRM features and the Bullhorn Back Office billing module behind higher tiers. Loxo's pricing is similarly tier-gated. Recruit CRM's pricing is per-seat flat with modules included, which is structurally more similar to Strkr. For a precise comparison the specific feature set matters: a firm running contract staffing with timesheet integration will have different seat math than a firm running permanent placement only. We publish a pricing calculator on the Strkr pricing page that models the common staffing-firm configurations against the common competitors so the evaluation does not require a sales-call pricing conversation.
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