Topic
Hiring data
Job postings as a signal of where a company is investing.
- Firmographic, technographic, hiring and intent data: how they fitFirmographic data says who a company is, technographic what it runs, hiring where it invests and intent what it is likely to buy. How the four differ, and how one key joins them.
- Introducing Fokals: company intelligence data, refreshed dailyFokals supplies firmographic, technographic, hiring and intent data on public and private companies worldwide. What the five datasets deliver, how they reach you and how they are licensed.
- Why we read job postings from the company's own boardA job posting can be read where the employer published it or where it was copied to. The source decides how many records a role produces, whose role it is and what its dates mean.
- Benchmarking pay and talent demand for workforce planningA workforce plan needs the pay employers advertise for a role and how many of them are competing for it. Here is how to build both from job postings.
- Benchmarking sales compensation from advertised payQuartiles of advertised base pay and on-target earnings for sales roles, by country and week. Here is how to place a plan against them and how to read the result.
- Detecting restructuring early from postings and announcementsA restructuring leaves a pattern on a company's job board before it reaches a disclosure. Here is the pattern, the announcements that confirm it and the false alarms.
- Expansion signals for account managementCustomers often show growth in public before they ask for more. Here is how to read it from their websites, job boards and announcements, and rank the accounts worth a call.
- Measuring AI adoption across listed companiesNo single public signal measures AI adoption. Here is how to read three of them from company data, combine them into a score you can audit and avoid keyword traps.
- Measuring remote and hybrid work trends by industryThe share of new postings that state remote or hybrid work can be read every week by industry and country. Here is what it counts, how to pull it and how to read it.
- Portfolio company monitoring for private equity teamsPublic signals give an operating partner a weekly outside view of each portfolio company and its competitors. Here is how to build the watchlist and design the digest.
- Reading a competitor's strategy from its hiringFunctions, seniority, locations and tools named in a competitor's postings show where it is investing before the product does. Here is a monthly brief built from them.
- Recruiting intelligence: finding companies that are hiring nowA company that is hiring is a prospect for a recruiter or an HR-tech seller. Here is how to find them by role and place, rank them by growth and avoid false leads.
- Sector hiring trends for macro and thematic researchA thematic view is a claim about a sector, not one company. Here is how to read hiring series that hold their company cohort fixed, and how to test a theme across industries.
- Sourcing private companies for venture capital with growth signalsTurn public signals into a short, repeatable list of private companies worth a first call, with the query, the thresholds to start from and how to read what comes back.
- Timing outreach with hiring signalsA posting names what a company is about to build and often the tools the role needs. Six hiring signals, where to read each one, the play it supports and how to test the play.
- Tracking sales team build-out as a sign of growth plansSales capacity is hired before it produces revenue. Here is how to read a company's sales postings as a weekly record of what it plans to sell, to whom and where.
- Using hiring data in equity research between earningsA company reports four times a year and hires every day. Here is how to turn its job postings into a research signal you can test and trust.
- Coresignal alternatives for company and jobs dataCoresignal is built around company, employee and jobs records from the public web. What each product is built for, the sources that fit each part of a workload, and the company and jobs parts mapped dataset by dataset.
- LinkUp alternatives for job market dataLinkUp and Fokals both take job postings where the employer publishes them. What each is built for, how the two records line up field by field, and four other sources of job market data.
- PredictLeads alternatives for company signalsThe two are close in kind. What each is built for, where the methods differ enough to change your numbers, and how one account alert is built on each feed.
- Revelio Labs alternatives for workforce dataRevelio Labs models who works at a company; job postings show whom it wants next. This guide sets out what each kind of source answers, with four alternatives and a worked measure.
- TheirStack alternatives for jobs and technographic dataTechnographic data comes from job postings or from websites, and the two see different tools. What TheirStack documents, where Fokals fits, and how to check one method against the other.
- Applicant tracking system (ATS)An applicant tracking system is where employers publish jobs and manage candidates. This entry covers what it means for hiring data, how it shows in hiring data and a common trap.
- Hiring dataJob postings read as a dated record of where a company is investing. How the data is collected and labelled, the mistakes that distort it and what it shows.
- Job functionA job function is the kind of work a role does, whatever its title. This entry shows how it is labelled, queried and read, and where function labels are uncertain.
- On-target earnings (OTE)OTE is what a sales role pays when the target is met in full. How it splits into base and variable pay, where adverts mislead, and how it appears in hiring data.
- Seniority levelSeniority level places a job on a ladder from intern to executive. How it is read from a posting, where titles mislead, and how it appears in Fokals hiring data.