RRA provides an innovative coaching service focused on career advancement. Their core services include optimizing LinkedIn profiles and resumes to improve professional visibility and help clients move forward in their careers. A key part of their strategy is that they do not rely on reaching only one person inside a company.
They use a structured outreach approach that targets multiple key individuals within each target company, which helps clients achieve outcomes typically within one to four months.
The founder, Alex, is a technical leader who had recently seen strong business success and wanted to scale quickly. He needed a partner with deep expertise in sales technology and Go to Market strategy so the team could test campaigns, find what works, and grow efficiently without wasting months building the wrong infrastructure.
RRA’s outreach execution was too manual and too slow. That made it difficult to test new ideas quickly and even harder to scale the ones that worked. They needed a high volume, nuanced, automated sales system that could run multiple campaigns, support multiple offers, and keep results measurable.
Even though Alex was technically proficient, he and his team did not have specialized sales tech knowledge to build a modern automated outbound process. Building that capability internally would have required time and resources that Alex did not want to invest.


In the first three months, RRA generated 265 qualified leads and $35k in sales.
The business moved from slow manual outreach to an automated multichannel engine that could test offers quickly, scale what worked, and keep the team focused on conversations that convert.
Colleva needed to understand their market, their ideal customers, and their message. As an early-stage company, they were still finding product market fit and needed a clear way to test who would respond and why.
We helped Lemonlight fix the foundation. They were using two CRMs, several disconnected tools, and a very manual outbound process that relied on multiple VAs checking inboxes. We simplified this by moving everything into one flow and cleaning up their data, lists, and systems.