Flagship Case Study
Claritas Growth Intelligence Platform
A staffing growth intelligence engine that turns public hiring evidence into a weekly, scored list of companies to approach — with the decision maker already identified.
Short answer
Claritas connects hiring signal monitoring, company and contact enrichment, AI account scoring, and workflow automation into a single prioritised lead engine for staffing firms. Recruiters receive a weekly worklist of scored accounts with the signal behind each one and the decision maker to contact, instead of building and researching lists themselves.
Client challenge
Staffing firms struggle to identify which companies are likely to need recruiting support before a vendor search begins. The available inputs are fragmented: postings sit across dozens of boards, growth events appear in news feeds, and contact data goes stale within weeks. Recruiters end up doing research instead of business development, and by the time an opportunity is obvious, several competitors are already in the account.
The requirement was a system that produced a defensible answer to one question every week: which companies in this niche have real hiring pressure right now, and who inside them owns the decision?
Solution
- Hiring signal monitoring across postings, expansion events, leadership hires and funding news within a defined niche.
- Company enrichment appending firmographics, locations and growth attributes to each detected account.
- Apollo integration for decision-maker identification with verified contact routes.
- Contact identification by role class — functional hiring leader, talent leader, executive sponsor.
- Lead qualification filters removing evergreen postings, agency-posted roles and multi-location duplicates.
- A scoring model combining fit, urgency and access, with an explanation attached to every score.
- Workflow automation delivering the ranked worklist on a schedule and logging outcomes back into the model.
System architecture
The pipeline runs in seven stages, each one narrowing the dataset so that expensive steps (enrichment, human attention) are only spent on accounts that survived qualification.
- 1Signal detection — postings and growth events collected continuously across the defined niche
- 2Company resolution — postings collapsed to one company record with history
- 3Qualification filters — evergreen roles, agency-posted roles and location duplicates removed
- 4Scoring — fit, urgency and access combined into a ranked work order
- 5Enrichment — only top-ranked accounts enriched with decision-maker contacts
- 6Delivery — weekly prioritised worklist with signal, contact and suggested angle
- 7Feedback — outcomes logged and fed back into scoring weights monthly
Key components
- TheirStack
- Job posting signal collection across boards and career pages, stored with history so posting acceleration can be measured rather than raw counts.
- Apollo
- Company firmographics and decision-maker enrichment — exact titles, verified emails and LinkedIn profiles for the functional hiring leaders in scope.
- Google Sheets
- The working delivery layer recruiters actually open: the weekly scored worklist, the signal behind each account, and the contact to approach.
- AI Scoring
- An explainable scoring step combining fit, urgency and access, with a written rationale per account so recruiters can interrogate the ranking.
- Lead Prioritisation
- Deduplication against the CRM, decay applied to stale signals, and a capped worklist so recruiters work 20–40 accounts rather than a raw dump.
Business impact
- Research time moved out of the recruiter's day — the worklist arrives prepared, so business development blocks are spent on outreach and conversations.
- Faster response to demand: accounts are contacted within days of the signal rather than after the vendor search begins.
- Higher outreach specificity, because every first touch references verifiable evidence rather than a generic pitch.
- Consistent coverage of the niche — the list is rebuilt continuously instead of depending on individual recruiter effort.
- A feedback loop that improves prioritisation monthly as real conversation outcomes are logged.
Lessons learned
- Enrich after scoring. Enriching every detected company burns credits on accounts nobody will contact.
- Signal decay matters as much as signal strength — without decay the worklist silently fills with stale accounts.
- Deliver a worklist, not a dashboard. Recruiters act on a short ranked list; they do not open analytics tools.
- Explainable scores get used. Scores without a rationale get ignored, regardless of accuracy.
- Cap the list. Coverage of 20–40 well-researched accounts beats a raw feed of several hundred.
Frequently asked questions
- What is the Claritas Growth Intelligence Platform?
- Claritas is a growth intelligence build for staffing firms that connects job posting signal data, company and contact enrichment, an AI scoring model, and workflow automation into one prioritised lead engine delivered as a weekly worklist.
- Which tools does Claritas use?
- TheirStack for job posting signal collection, Apollo for company and decision-maker enrichment, Google Sheets as the working delivery layer, and an AI scoring step for account prioritisation.
- Can this be applied to any recruiting niche?
- Yes, provided the niche can be defined by function, seniority, geography and company size. The narrower the definition, the higher the signal relevance and the better the scoring performs.
Want this running for your niche?
Book a staffing growth strategy call to walk through how the Claritas approach would apply to your markets, or request a sample hiring signal report first.