Case study 02Marketing agencyRan on LinkedIn

How Jiten Sutar added an extra $20,000 MRR in 30 days with Bazooka.

Jiten put Bazooka to work on his own LinkedIn acquisition and added $20,000 in new monthly recurring revenue inside 30 days, with none of the outreach done by hand.

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Jiten Sutar

Founder at Automatic Funnel Clients

The results

+$20K

MRR added

30d

To results

Manual tasks

01The founder

Meet Jiten.

Jiten Sutar is the founder of Automatic Funnel Clients, a marketing agency that helps founders win clients on autopilot. He handed his own LinkedIn acquisition to Bazooka, and new revenue followed quickly.

02The challenge

New revenue that doesn't depend on manual outreach.

For most founders, pipeline stops the moment they stop sending messages. Bazooka was brought in to remove that dependency: an outbound engine that runs without anyone having to work it by hand, so growth no longer competes with delivery for the same hours.

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 pulled in the exact agency founders that fit the offer, scoring every profile on fit before adding it to a sequence, so the list stayed fresh and relevant.
Prospect discovery Scoring fit
Fit
Fit
Skipped
Fit
02
Step 02
Hyper‑personalized openers
First touches referenced the prospect's agency, niche, and recent posts. Bazooka wrote openers that felt one-to-one instead of one-to-many.
First message Personal
RoleCompanyRecent activity
Personal first line
03
Step 03
Autonomous follow‑ups
Bazooka kept every conversation moving with adaptive timing and new angles, re-engaging silent prospects instead of burning them with copy-paste bumps.
Follow-ups On autopilot
Opener
Follow-up, new angle
Re-engaged, fresh angle
Reply
04
Step 04
Self‑improving booking engine
Every reply taught the system what worked, and it locked onto the angles that booked calls with paying agency owners on repeat.
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

BeforeGrowth depended on Jiten personally sending messages

AfterLinkedIn acquisition runs without him in the loop

BeforeSome weeks the pipeline boomed, others it disappeared

AfterA steady, predictable flow of paying-client conversations

BeforeProspecting ate into time meant for client work

AfterFollow-ups handled automatically, nothing slips

BeforeNo predictable way to add new MRR without referrals or ads

AfterNew MRR added without paid ads or referrals

The results

+$20K

MRR added

An extra $20,000 in MRR in 30 days.

And because Bazooka learns from every reply and booked call, the engine only gets better the longer it runs.

Added $20,000 in new monthly recurring revenue inside 30 days.
LinkedIn acquisition now runs autonomously, with zero manual tasks.
Revenue months stopped depending on how much time Jiten had to prospect.
His time went back to delivery and closing instead of chasing prospects.

30d

To results

Manual tasks

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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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