The team filtered leads by hand, one at a time, and could not reach enough prospects.
The client had no sales development team, and its new sales staff had never run cold outreach. They found leads by filtering Apollo by hand and then phoned each one. The method produced some leads, but far too few to grow the business. They wanted outbound at a much larger volume without hiring and training a new team.
An agent that works from real company data and waits for human approval.
We grounded the agent in the client's ideal customer profile and product details, so it always knows whom to target and what to offer.
We trained it to adjust each pitch to the reader's seniority. A message to a CFO covers different points from a message to a CEO or COO.
We built campaign-based company discovery that reviews 50 to 100 companies to find the best 10. It scores each one on recent news and signs that the company needs the product now.
We added research and data enrichment for each contact, so every message mentions a real fact about the recipient's company.
We placed a review step before every send. A person approves each message, and the agent flags any message it is unsure about instead of sending it.
We shipped a live dashboard that tracks opens and replies per campaign. The client's team tunes campaigns themselves because they know their market best.
We measured reliability. The client's team handles campaign tuning.
We did not use reply rate as the success metric here (the industry average is about 2%). The client received the agent and a dashboard to tune campaigns, since their team knows the market. We judged the agent on reliability: whether it did what it should on every run.