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OUTBOUND
Pipeline you can plan around
Low volume, high intent, inboxes that actually land.
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STAFFING & RECRUITING · OUTBOUND

Generated $35k in new sales and 265 qualified leads in the first 3 months

$35kin sales in the first 3 months
265qualified leads
TECH STACK USED

Who is the client?

The client is a recruitment agency focused on career advancement.

They specialize in optimizing LinkedIn profiles and resumes to improve clients’ professional visibility.

Their delivery model combines personal branding improvements with strategic outreach to multiple relevant people inside each target company to help clients reach career outcomes, typically within one to four months.

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How the client met us

The agency’s founder, Alex, discovered Kinetyca after attending a La Growth Machine webinar where Matteo was the main guest.

The webinar covered how to build advanced, personalized B2B multichannel campaigns. After the session, Alex scheduled a call and, following a few discussions, decided to work together to test ideas and accelerate growth.

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Context

After recent business success, Alex wanted rapid growth and needed a system that could support faster iteration and scalable execution.

As a technical leader, he wanted a partner with strong sales technology and GTM expertise to help build a modern outbound machine, run structured testing across campaigns, and scale what worked without increasing manual workload.

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What was the problem?

Lack of a scalable sales system

Campaign execution was manual and slow, limiting the ability to test new offers quickly and scale winning motions. The agency needed a nuanced, high volume, automated system.

Sales tech knowledge gap

Even with strong technical capability, the team lacked specialized skills to build and operate a modern automated sales process. Building this internally would require significant time and resources.

Need for structured testing and reporting

The agency wanted continuous testing to reach message market fit and a robust reporting layer for data driven decisions across multiple campaigns and clients.

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The approach we took

1. Strategy and ICP analysis

Analyzed the agency’s market, ICP, previous successes, and goals to define an initial three month execution plan followed by a second phase plan
Defined initial objectives prior to execution Build a fully engineered sales machine quickly
Test multiple campaigns to identify what worked best
Achieve message market fit through continuous A B testing
Manage onboarding and offboarding for multiple clients through Clay
Implement reporting for data driven decision making

2. Data enrichment and ABM targeting

Built segmented and highly qualified lead databases in Clay using AI enrichment, filtering, and segmentation
Launched five distinct campaigns, each with a different offer targeting a different decision maker, supported by its own custom database and segmentation logic

3. Channel and infrastructure setup

Established a sending infrastructure to protect deliverability and avoid spam issues
Deployed 54 inboxes across 18 domains hosted across multiple servers to support consistent performance

4. Structured testing and scaling

Implemented a structured testing phase as the core optimization loop
Systematically tested Different campaign concepts
Multiple copy variations for each campaign
Different decision maker targets
Refined operational procedures after identifying the combinations that generated the highest response rates

5. CRM connection and pipeline tracking

Connected and automated the workflow so positive replies in Instantly were routed into a dedicated Slack channel for real time notifications
Built structured tracking by delivering each positive reply to three locations Slack for immediate notifications
Google Sheets for interaction level tracking
Airtable as the central reporting dashboard
Centralized campaign reporting in Airtable to provide real time analytics and performance tracking by client and campaign

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Results

Generated 265 qualified leads in the first three months
Produced $35k in sales in the first three months
Achieved 3 to 10 percent reply rates across email and LinkedIn
Saved 15 to 20 minutes per lead by automating the outbound process

"Matteo knows how to move quickly when needed to get things live and then slow down to build a robust system"

Mozaiq ·

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