Who is the client?

RRA is a coaching service 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

RRA’s founder, Alex, discovered TAM Acceleration 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. RRA 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
  RRA 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 RRA’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