How a Texas Commercial Cleaning Company Booked 12 Qualified Meetings in 30 Days
A referral-dependent cleaning company built a predictable outbound pipeline - 12 qualified meetings with facilities managers in the first 30 days.
A commercial cleaning company with a strong reputation and near-perfect client retention had one problem: almost every new customer came through referrals. Growth was inconsistent. Some months the calendar was full. Others were noticeably quiet. They needed a repeatable way to reach facilities managers responsible for commercial office buildings without depending on word of mouth.
The Challenge
The company had built a strong operational track record over many years. Their service quality was not in question. The gap was in new business development. Without a systematic way to reach decision-makers at commercial properties, growth depended entirely on who they knew and who referred them. That made revenue unpredictable and capped the business at a level determined by the size of their existing network rather than the quality of their service.
What We Did
We built a tightly defined ICP focused on facilities managers, property managers, and operations directors at commercial office buildings across Texas. We sourced verified contact data, set up dedicated sending infrastructure, wrote personalised outreach sequences from scratch, and managed reply handling and meeting booking on their behalf throughout the campaign. Every contact on the list matched the exact criteria agreed in the onboarding call - right job title, right building type, right geography. No generic lists. No unverified emails.
The Result
In the first 30 days the campaign reached 6,450 decision-makers across Texas. It generated 247 replies at a 3.8% reply rate, with 61 positive conversations opening up. From those conversations, 12 qualified sales meetings were booked with facilities managers actively exploring new commercial cleaning providers.
Deliverability remained strong throughout - 0.7% bounce rate and 98.6% inbox placement across all sending domains. The client now has a predictable outbound engine running alongside referrals rather than depending on word of mouth alone.
Anonymised at client request.
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