Growth Systems · Issue 07

I Ran My Job Search Like a B2B Funnel. The Leak Wasn't Where I Expected.

Six months, 58 closed processes, and one uncomfortable lesson: a job search is a pipeline, and most people only measure the top of it.

By Natalia Marianchyk · October 2026 · 7 min read

Natalia's job-search funnel: 58 closed processes, 42 rejected at CV screen, 14 reaching interview stage, and zero offers.

If you handed me a B2B pipeline with this profile, I would diagnose it in ten minutes. Plenty of activity at the top, a thin middle, almost nothing at the bottom, and no one tracking which stage actually leaks.

This was my own pipeline. For six months I applied, followed up, interviewed and waited, and I treated each rejection as a verdict on me. Then I did what I would tell any client to do: I stopped feeling the funnel and started measuring it.

The Funnel, Stated Plainly

Between 1 April and 30 September I logged every application, every interview-stage process and every rejection: 173 days of active searching. Written down the way I would write down a sales pipeline, it looks like this.

STAGEWHAT IT MEANSCOUNT
Closed processesApplications that ended in a decision58
Rejected at CV screenNo human conversation at all42 (72%)
Reached interview stageOne or more interview-stage conversations14 (24%)
OffersA written offer0

Of the 14 processes recorded as reaching interview stage, 8 were confirmed through calendar entries only; no separate outcome was recorded in the tracker.

Funnel at a glance: 58 closed processes; 42 CV-screen rejections (72%); 14 interview-stage processes (24%); zero offers. Eight interview-stage processes were confirmed through calendar entries only, with no separate outcome recorded.

Three things stood out the moment the numbers sat in one place.

First, volume was not my problem: 173 days of active searching produced 58 closed processes.

Second, the drop between "applied" and "any reply" was steeper than at any later stage: 42 of 58 applications — 72% — ended at the CV screen, before a human spoke to me. In August alone I was screened out by names like TikTok, eBay and Expedia: sixteen rejections in a single month, not one conversation. None of those rejections named a gap in my experience. They used template language — "high volume of applications," "after careful consideration."

Third, one channel converted nothing: ten applications to generic "Marketing Manager" postings at large corporates produced zero interviews.

That was the part that surprised me. I had assumed rejection meant a weak profile. The data said something more precise: wrong channel at the top, under-prepared at the bottom — and those are two different problems.

For balance, the funnel wasn't all leaks. I reached multiple rounds at one of the biggest names in tech, including conversations in German. The process eventually ended with a six-month reapply window. For me, that settled one question: I could do the work. The problem was never whether I could do it. It was where I spent my effort, and how I told the story.

Where It Leaked

Three funnel leaks: wrong channel at the top, weak positioning in the message, and under-preparation at the interview stage.

A funnel leaks for one of three reasons, and each needs a different fix. It took me an embarrassingly long time to separate them.

The leak at the top — wrong channel. 72% of my applications never reached a human. The pattern was clear: generic "Marketing Manager" titles at large corporates — ten attempts, zero interviews. These employers filter on keywords and years of experience before anyone reads the CV. I was spending my best hours in the channel with the lowest odds.

The leak in the message — weak positioning. My CV said everything I had done and never said what I am for. The label "B2B Performance Marketing Manager" buried the strongest things I had: an outbound system I built myself, journalism training, five working languages, and years of selling into technical and regulated buyers.

The leak at the bottom — under-prepared. Fourteen interview-stage processes, no offer. The feedback the data pointed to was specific: a wish for deeper market sense, a concern about a freelance background, and slower KPI recall under pressure. All of it is fixable, and none of it was visible until I stopped guessing.

A rejection tells you which stage failed. It does not tell you why — and guessing the why from how it feels is how people spend months fixing the wrong thing.

A note, written the week this goes out: one of my two most advanced processes just closed with a no, after a warm final-round conversation. Read as data, it points to the same place as the rest: the bottom of the funnel is the stage where I still have the most work to do. A rejection after a real conversation is information about the last 10%, not a verdict on the whole.

Five Changes, Same System

Five changes: test one positioning line, stop the generic channel, apply to a role shape, run outbound on myself, and rehearse the numbers.
The positioning line is being tested within this experiment, not adopted as a permanent CV or LinkedIn rebrand.

I made five changes, all borrowed from how I would fix a client's pipeline.

1. One positioning line. I needed a single line to test consistently during the experiment — something specific enough to measure, not a permanent rewrite of my identity. For the test I used: I build go-to-market systems — covering outbound, content and positioning — for B2B companies selling complex products to technical buyers in DACH and the EU. Role by role, the emphasis can still shift; the point was to stop telling a slightly different story every time.

2. Stop the generic channel. No more broad applications to "Marketing Manager" roles at large corporates. Zero interviews from ten attempts is a result, not bad luck.

3. Apply to a role shape, not a title. I narrowed to five shapes that fit what I actually built: GTM/Growth lead at an early-stage B2B SaaS or industrial-tech company; Head of Marketing at a 20–300-person scale-up; Content & Communications lead in B2B tech; Founding Marketer at a pre-seed/seed startup; and DACH market-expansion lead for an EU company entering the region. Each one maps to a real strength — the outbound system, the writing, the five languages — instead of a generic title.

4. Run outbound on myself. I built a target list of 40–60 companies in Apollo — 20–300 employees, selling complex products — found the decision-maker at each, and wrote with one specific observation about their go-to-market. The method is the proof: if I build outbound for a living, I should be able to run it for myself.

5. Rehearse the numbers. Every KPI answer now follows Number, Context, Action, Result — said out loud, in under 20 seconds.

It has been one week since I started running the new channel. That is too early to claim results. The old benchmark remains: 58 closed processes, 14 interview-stage processes, 0 offers. The next issue will report what happened after changing the system — either way. That's the whole point: a funnel you measure is one you can report on — to a client, or to yourself.

The Verdict

A job search is the only pipeline most people run without a dashboard. It is also the one where they take every data point personally.

The moment I treated it as a system, the feeling changed. A rejection stopped being a judgement and became a reading: this stage, this source, this message. That is easier to act on, and far easier to live with.

You cannot fix a funnel you only feel. Measure it, then decide what to change.


The Operator's Playbook: write the funnel down, read rejections as a set, measure conversion by channel, test one positioning line, use your own skill as the method, and rehearse numbers out loud.
The positioning line is being tested within this experiment, not adopted as a permanent CV or LinkedIn rebrand.

NM Insight · Issue 07

Natalia Marianchyk

Natalia Marianchyk

Marketing Specialist at NM Insight - a Berlin-based marketing professional focused on the infrastructure between acquisition and revenue.

Connect on LinkedIn·nm-insight.com

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