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    Recruiting & Staffing · project showcase · qualification standard

    Project ShowcaseReal client work that shipped. No performance figures are published, because none have been verified and approved for release.

    A qualification standard that turns "they're hiring" into something dated, sourced and checkable

    Every company is hiring. That sentence is true, useless, and the reason most recruiting outbound lists are indistinguishable from a company directory. This standard defines what has to be on a row before it counts as a lead.

    At a glance

    The engagement in brief

    Services

    • Outbound
    • Positioning
    • Content Systems
    • CRM

    Stack

    • List workbook
    • Signal taxonomy
    • Source links
    • CRM qualification field

    The situation

    What we walked into

    Recruiting outbound has an unusual problem: the qualifying signal is public, abundant and almost entirely noise. Job boards, careers pages and hiring posts will tell you that nearly every company in a target market is hiring something, which means a list built on 'is hiring' is a list built on nothing. The standard exists to make the difference between a company that is hiring and a company in a hiring wave into a field on a row rather than a judgement in somebody's head.

    'They're hiring' is true of almost every company and useful for none of them.

    What we found

    The diagnosis

    1. 01

      A signal without a date is a guess

      Every signal on a row carries the date it was observed and a link to where it was observed. A funding announcement from fourteen months ago and one from last week are the same fact and completely different leads, and without a date field the list cannot tell them apart three weeks later when somebody works it.

    2. 02

      Evergreen listings are the trap the whole standard is built around

      A permanently open 'Sales — always hiring' page produces the same data signature as a genuine hiring wave: multiple open roles, recent posting dates, an active careers page. The standard requires recurrence evidence that is distinct from the listing itself, which is what separates a company that is growing from a company that has high turnover.

    3. 03

      The disqualifier list does more work than the qualifier list

      One open role, no evidence of recurrence, and an undated signal each remove a row outright. Removing rows is unpopular with anyone measured on list size, which is precisely why the removal rules are written down rather than left to the person building the list.

    4. 04

      Segmentation is a promise about what you can say later

      The signal type recorded on the row is what the first message can reference. If the row says only 'hiring', the message can only say 'I saw you're hiring', which is the message everyone else sends.

    The number behind it

    What this is built around

    Recruiting is the **best-performing vertical on LinkedIn** (36.5% acceptance, 18.9% reply — 1.8× average; Expandi 2026), which is exactly why it's the hardest to sound different in. When everyone gets replies, the differentiation has to be in list quality and the offer, not the outreach.

    What we built

    The system

    Each row carries: company, employee band, open-role count with the date observed, signal type from a closed list of five, signal date, source link, recurrence evidence, disqualifier check, segment tag and owner. The five signal types are funding, a new office or market, an explicit multi-team hiring statement, a stated headcount number, and a single-function push. The list is closed on purpose: an open taxonomy fills up with 'growth' and 'expansion' within a fortnight. The disqualifier check is a single column with a fixed set of reasons, so removals can be counted and the reasons compared across list builds rather than argued about.

    A qualification standard that turns "they're hiring" into something dated, sourced and checkable — stackA stack of 8 connected layers, from "Company 20–500 employees" through to "Row qualified", each feeding the one below it.Company 20–500 employeesOpen-role count + date observedSignal type (one of five)Signal date + source linkRecurrence evidenceDisqualifier checkSegment tagRow qualified

    The sequence

    How it was delivered

    1. Week 1

      Signal taxonomy

      Five signal types agreed and closed; disqualifier reasons written as a fixed list

      Owner: OmniFlow

    2. Week 1

      Row schema

      Column schema including date observed, source link and recurrence evidence

      Owner: OmniFlow

    3. Weeks 2–3

      Build and check

      Rows built to schema; disqualifier column completed on every row, including the ones that pass

      Owner: OmniFlow

    4. Monthly

      Re-qualification rhythm

      Rows older than the signal window re-checked against the source link rather than rebuilt

      Owner: OmniFlow

    Outcome

    What shipped

    This entry makes no performance claim. It documents a qualification standard and the specific failure it was written to prevent: a list of companies that are permanently hiring being mistaken for a list of companies in a hiring wave.

    Reporting

    What you would actually see

    These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.

    These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.

    Google Analytics 4

    Recruiting & Staffing · all web data

    Demo
    Acquisition overview
    Last 12 months vs. preceding period

    Sessions

    1,969

    +72.6%

    Key events

    82

    +90.7%

    Session key event rate

    4.2%

    +1.2%

    Engagement rate

    61.6%

    +2.8%

    Sessions by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    Session default channel groupSessionsKey eventsRate
    Organic Search812283.4%
    Paid Search484163.3%
    Direct352174.8%
    Referral19763.0%
    Organic Social12454.0%

    LinkedIn Campaign Manager

    Sponsored Content · Recruiting & Staffing audience

    Demo
    Campaign performance
    Last 12 months

    Impressions

    102,203

    +36.4%

    Clicks

    776

    +40.1%

    CTR

    0.8%

    +0.07%

    Cost per lead

    $102.95

    -7.6%

    Impressions by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    CampaignImpr.ClicksLeadsCPL
    Thought leadership — practice leads34,74926418$102.95
    Problem-aware — retargeting26,57320213$102.95
    Case study download22,48517111$102.95
    Webinar registration18,3971409$102.95

    CRM pipeline

    Recruiting & Staffing · inbound and outbound

    Demo
    Pipeline by source
    Last 12 months

    Leads created

    165

    +64.1%

    Qualified

    76

    +73.7%

    Meetings booked

    36

    +76.9%

    Answered on first attempt

    72.3%

    +6.7%

    Leads created by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    First-touch sourceLeadsQualifiedMeetings
    Google Ads — high intent512310
    Organic search45219
    Business Profile — call31146
    LinkedIn outbound23115
    Referral1573

    Honestly

    What we would do differently

    The first version of the schema had a free-text signal column. Within two list builds it contained nineteen different phrasings of the same four ideas and could not be grouped, counted or compared. The taxonomy is closed now, and adding a sixth signal type is a deliberate decision rather than something that happens quietly while someone builds a list at speed.

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