# Marcus Delgado, Director of Sales Strategy at Aptus Manufacturing Software — read of manufacturing-job-posting-intent-enricher, June 15, 2026

> 14 years in B2B sales, the last six selling ERP and MES software to mid-market manufacturers. Currently running a 9-rep team out of Chicago. Coaches his daughter's U10 soccer team Saturday mornings and regrets it every time he gets a 7 AM Slack from a BDR.

## How I got here

Googled "manufacturing hiring signals sales intent" after a QBR where my team flagged that three deals we lost this quarter all started with the prospect posting an ERP admin job six months prior. We missed it. I was specifically looking for something that monitors job postings as a buying signal, not the generic Bombora/G2 stuff we already pay for. Found this page second result, below a Reddit thread.

## What I clicked first

The problem section pulled me in immediately. "ERP admin roles signal digital transformation. Quality hires mean process tightening." That's the exact language I use internally. Someone who wrote that has sold into manufacturing or talked to someone who has. That's not generic copy. I kept reading.

## Where I paused

The use case block: "ERP / MES Vendors -- When a plant posts for an ERP administrator or systems analyst, they're evaluating or implementing. You get warm leads with a 90-day sales window."

That is my exact use case, described back to me. I stopped and sat with it for a minute. Either someone really understands the manufacturing sales cycle or they're pattern-matching from LinkedIn thought leadership and got lucky. The 90-day figure has no source, which bugs me, but the underlying logic is sound.

## What I distrusted

Three things, in order of how much they bothered me.

First, this sentence in the FAQ is literally unfinished: "Email bounce rates are" -- that's it. It just stops. That's not a typo, that's a page that wasn't proofread before publishing, which tells me something about the operational rigor here.

Second, the claims contradict the disclosure. The hero says "Most customers see qualified leads within 48 hours of setup. First opportunity closes within 6 weeks." Then at the bottom of the page: "Honest disclosure: we don't have live customers on this idea yet." You cannot have both of those sentences on the same page and expect me to trust either of them. "Most customers" with zero customers is a fabrication, not a projection. I've bought enough SaaS to know the difference between a validated claim and someone's Fermi estimate dressed up as social proof.

Third, the "Built by Wishdeal Studio" and the whole "Adopt this idea / Unlock for $5" section at the bottom. This isn't a product. This is a product concept for sale. The framing of the page made me think I was evaluating a live tool. That bait-and-switch, even if technically honest once you scroll down, poisons everything above it.

## What would convince me

One case study from a real sales rep, with a company name I can Google, describing a specific deal. Not "a mid-size ERP vendor in the Midwest." The actual company name, the trigger they saw (what job posting, what title), how long it took to get a meeting, and whether the deal closed. I don't need a $5M win. Show me a $40K deal that started with a supply chain planner posting and ended in a signed order form. That would make me pick up the phone.

I'd also want to know how this is differentiated from LinkedIn Sales Navigator's job change alerts, which my team already uses. That's the most direct competitor here and it's never mentioned.

## What I'd ask in an email reply

1. You say "most customers see qualified leads within 48 hours" but the bottom of your page says you have no live customers yet. Which is it, and where does the 48-hour claim come from?

2. How is this different from setting up LinkedIn Sales Navigator job alerts filtered by industry and function? I'm doing a version of this manually now. What does your system do that I can't replicate with an hour of Nav setup?

3. The FAQ mentions confidence scores on buying intent likelihood. What's the methodology? Is this your own model, or are you pulling from a third-party data provider and relabeling it?

## Verdict: on-the-fence

The problem framing is the best I've seen for this specific use case, and I'm genuinely interested in the category. But the unfinished FAQ sentence, the fabricated "most customers" language, and the studio reveal at the bottom all signal this isn't ready for a purchasing conversation yet.

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*Memo by skeptic persona, generated 2026-06-15. Studio breaks own self-grading loop.*