4,192 Jobs: B2B Seller Data Pack

If you sell hiring software, RPO services, employer-brand consulting, sourcing automation, comp benchmarking, or any other tool consumed by a recruiting function, the Loker Dollar production dataset is a free outbound playbook in three numbers. Most of your competitors are pitching adjectives. You can pitch the line.

This piece is the seller-facing cut of the full analysis. For the pillar across all audiences, see Portfolios Beat Degrees: 4,192 Jobs Data.

The Three Numbers You Pitch From

Three structural facts about the board you can lean on in any outbound motion:

• 65 percent pay-opaque. Only 1,488 of 4,192 listings publish a salary range. Whatever your prospect's candidate-experience pitch is, their candidates are pricing the silence.
• 38 percent close-out rate. 1,601 of 4,192 listings closed before they filled, expired, or were withdrawn. That is two of every five job slots — paid sourcing wasted, employer-brand spent, time-to-fill blown.
• 97 percent under 90 days old. The board fully refreshes itself every quarter. Your prospect list refills on the same cadence. If your TAM model recycles quarterly, your outbound never goes stale.

The pitch this enables is structural, not generic. Stop sending "AI is disrupting hiring." Send "Here are 14 of your direct competitors hiring against terms you can beat. Want the breakdown?"

How to Build the Outbound

A five-step motion that runs on this dataset's structure:

1. Pick a vertical. Engineering, design, content, marketing, ops — whichever your buyer covers most densely.
2. Pull the live count. How many active listings are in that vertical, this week. The Loker Dollar feed updates weekly; the count moves with the market.
3. Count the pay-opaque share. Roughly two-thirds of any vertical's listings will not publish pay. Frame the gap as a candidate-experience risk your tool solves.
4. Tag the closed-out subset. Pull listings posted 60-90 days ago that are now inactive. Those are the prospects with concrete proof that their sourcing motion did not finish the job.
5. Send proof, not adjectives. The email opens with "I pulled your live listings against your three closest peers. You are running 12 open seats and 4 closed-out roles in 90 days. Two patterns stand out — want me to send the breakdown?"

The conversion difference between this motion and the standard "I help companies hire faster" motion is structural. You are not selling a vibe. You are selling a count.

Pitch Patterns That Map to Specific Findings

Five outbound angles, each tied to a specific data point any prospect can verify on their own side:

• For comp benchmarking tools: "65 percent of your peer listings publish no salary. Here are the three competitors who do. Their floor is $X. Your candidate base has already seen it."
• For employer-brand consultancies: "37 of your peers have 'replace' in the body of their AI-related listings. 23 have 'augment.' Your candidate pool is reading both. Want a verb audit on your last 10 postings?"
• For sourcing automation: "Your closed-out roles average 47 days on the board before withdrawal. Top quartile in your vertical: 22 days. We close the gap by 18 days at your volume."
• For RPO services: "Your senior-to-junior advertised ratio is 6:1. Median in your category is 3:1. We rebuild the junior intake at 18 percent of hires within two quarters."
• For AI hiring tools: "41 percent of AI-relevant listings are contract or freelance. Your full-time AI pipeline is competing against a contractor pool with portable tooling and a global buyer base. We help you compete on problem quality, not base pay."

Notice the pattern: every angle starts with a count, not a claim. The prospect can argue with a claim. They cannot argue with their own listings.

Why This TAM Refreshes Automatically

97 percent of the board is under 90 days old. The implication for outbound is the part nobody is exploiting:

• Your TAM list is automatically perishable. A prospect's listing from six months ago tells you nothing about their hiring posture today. A prospect's listing from last week tells you everything about their next quarter.
• Your cold-email templates rot fast — but the rot is the feature. Static pitches age out in a market that refreshes weekly. Outbound built on this dataset's cadence forces a quarterly refresh on your own messaging, which is what stops your motion from stagnating.
• Your competitor's outbound is generic. Almost every seller in your space is still pitching adjectives. The dataset gives you specificity for free.

The compounding effect: as more of your outbound starts with a count and ends with a specific finding, your reply rate moves from "open rate" math to "this person did the work" math. The labor cost is trivial. The conversion math is not.

What This Doesn't Solve

Three things to be honest about:

• The dataset is one job board's view. Your prospect may run the bulk of their hiring through closed referral pipelines that never touch a public listing. Your count understates their real volume.
• Pay opacity in their listings does not mean pay opacity inside their offer process. Many companies that publish no range still negotiate transparently.
• A "replace" verb in their JD does not prove they are actually shipping headcount reductions. It proves they wrote it.

Use the dataset as a wedge to start a conversation, not as a closing argument. The proof of the pitch is in their own confirmation when you get the meeting.

FAQ

Where do I pull the live counts from?

Loker Dollar's public job feed is free to search and refreshes weekly. The full API is not public, but the per-vertical counts are visible in the live UI and stable enough to anchor a weekly outbound rhythm.

How big is the realistic TAM this kind of motion addresses?

Any company that publishes at least one job listing on the public web in your prospect category. The structural numbers — pay opacity, close-out rate, refresh velocity — hold across most boards we cross-referenced, with modest variation by sector.

Will my prospect dispute my counts?

Often yes, and that is the wedge. The dispute itself is the proof you did the work. "I counted 12 — what did I miss?" is a much better reply than "what is this email about?" If they engage on the count, they engage on the meeting.

What's the single most-underused angle in this dataset for sellers?

The 38 percent close-out rate. Almost nobody in B2B sales calls a prospect about jobs that did not fill. The conversation it opens is shockingly specific, because the prospect knows exactly which roles they could not close.