Case study 01B2B lead generationRan on LinkedIn

How Diederik Kroese added an extra $10,000 MRR in under 30 days with Bazooka.

Diederik handed his LinkedIn client acquisition to Bazooka and added roughly $10,000 in new monthly recurring revenue in under a month, without doing any of the outreach by hand.

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Diederik Kroese

CEO at Cold Outreach Expert Agency

The results

+$10K

MRR added

<30d

To results

Manual work

01The founder

Meet Diederik.

Diederik Kroese is the CEO of Cold Outreach Expert Agency, where he helps B2B teams build predictable pipeline. He brought Bazooka in to run his own LinkedIn acquisition, and the results landed fast.

02The challenge

Predictable growth without more hours in the day.

For most agency founders, new business competes for the same hours as client delivery. The goal with Bazooka was simple: a LinkedIn acquisition engine that runs on its own and produces qualified conversations every week, without anyone living inside their inbox.

03What Bazooka did

One system, handling the whole thing.

Every step of LinkedIn client acquisition, running without anyone lifting a finger.

01
Step 01
AI prospect discovery
Bazooka continuously scans LinkedIn for the exact decision-makers that fit the offer, scoring each one on fit before they ever enter a sequence.
Prospect discovery Scoring fit
Fit
Fit
Skipped
Fit
02
Step 02
Hyper‑personalized openers
Every first message references the prospect's role, company, and recent activity, so it reads like a person wrote it, not a template with a name swapped in.
First message Personal
RoleCompanyRecent activity
Personal first line
03
Step 03
Autonomous follow‑ups
Bazooka keeps each conversation alive across multiple touches with adaptive timing, re-engaging quiet prospects with a fresh angle instead of the same bump.
Follow-ups On autopilot
Opener
Follow-up, new angle
Re-engaged, fresh angle
Reply
04
Step 04
Self‑improving booking engine
The system learns from every reply and booked call, doubling down on the angles that work and quietly retiring the ones that don't.
Learning from replies Improving
Angle that booksDoubled down
Angle that stallsRetired
Call bookedOn the calendar
Then the results landed. Here is what changed.

04Before / after

What changed.

Before Bazooka

After Bazooka

BeforeOutreach only happened when there was time to do it by hand

AfterLinkedIn acquisition runs on its own, every day

BeforePipeline swung between busy weeks and empty ones

AfterA steady flow of qualified conversations

BeforeFollow-ups depended on someone remembering to log in

AfterEvery follow-up handled automatically

BeforeScaling meant more hours, not more output

AfterOutput scales without adding headcount

The results

+$10K

MRR added

An extra $10,000 in MRR in under 30 days.

Because Bazooka learns from Diederik's own replies and booked calls, the engine gets sharper every week it runs.

Added roughly $10,000 in new monthly recurring revenue in under 30 days.
LinkedIn acquisition now runs autonomously, with no manual prospecting.
Pipeline became predictable instead of feast-or-famine.
Diederik's time went back to calls and closing.

<30d

To results

Manual work

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Bazooka

Want results like these?

Book a 20-minute demo and see how Bazooka would run your LinkedIn, and how many meetings it could book you each month.

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