Case study 01LinkedIn client acquisitionRan on LinkedIn

How ConsulSales signed 6 new paying clients in just 7 days with Bazooka.

Inside the LinkedIn acquisition system that turned a quiet pipeline at ConsulSales into six signed clients in a single week, without sending a single manual message.

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ConsulSales

LinkedIn client acquisition

The results

Clients / week

22%

Booking rate

34%

Reply rate

01The company

Meet ConsulSales.

ConsulSales runs LinkedIn client acquisition for agency and consultancy founders. The work was strong, but its own new clients only came when there was time to prospect by hand, which was almost never.

02The challenge

A great offer, but no consistent way to reach buyers.

The offer converted whenever ConsulSales got in front of the right people. The problem was doing that consistently. Manual cold DMs were getting low replies and zero conversions, and there was no time to prospect while delivering for existing clients. ConsulSales needed paying customers, not vanity metrics.

I had the offer dialed in. I just had no reliable way to put it in front of enough of the right people every single week.

The founder of ConsulSalesBefore Bazooka

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 surfaced exactly the founders and operators ConsulSales wanted as clients, scoring each one on fit before any message was sent.
Prospect discovery Scoring fit
Fit
Fit
Skipped
Fit
02
Step 02
Hyper‑personalized openers
Every opener referenced what the prospect was actually doing on LinkedIn. Real context, real relevance, no templates, and reply rates jumped from day one.
First message Personal
RoleCompanyRecent activity
Personal first line
03
Step 03
Autonomous follow‑ups
Bazooka ran the entire follow-up sequence with adaptive timing. Conversations that would have died in the inbox turned into booked discovery calls instead.
Follow-ups On autopilot
Opener
Follow-up, new angle
Re-engaged, fresh angle
Reply
04
Step 04
Self‑improving booking engine
The agent learned what closed and doubled down on it. Within a week, six of those booked calls had turned into signed paying clients.
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

BeforePipeline depended on referrals and felt unpredictable

AfterA steady stream of qualified discovery calls

BeforeManual cold DMs got low replies and zero conversions

AfterContext-aware openers lifting reply rates from day one

BeforeNo time to prospect while serving existing clients

AfterEvery follow-up handled automatically

BeforeNeeded real paying customers, fast

AfterSix new paying clients signed in seven days

The results

Clients / week

Six new paying clients, signed in a week.

Every reply and booked call feeds back into the system, so the angles that win keep getting sharper.

Signed six new paying clients within seven days of going live.
Reply rates climbed with context-aware first messages.
Follow-ups stopped depending on memory. Bazooka handled every touch.
The calendar filled with qualified discovery calls instead of dead cold leads.

22%

Booking rate

34%

Reply rate

05The founder

The founder behind ConsulSales.

Houdaifa el Aouni

Founder, ConsulSales

Visit ConsulSales

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