Two booked calls in four months. Eleven in the next seven weeks.

Plenty of sending. Very few conversations.

The firm helps venture-backed startups hire, and it needed more discovery calls with companies actively hiring. It had moved its outreach onto a dedicated email platform several months earlier, with a large pool of sending domains and a research team gathering job postings across several markets.

The activity was there. The results were not: in the roughly four months before I started, the outreach had produced about two booked calls.

My job was to generate booked discovery calls. The firm's team ran the meetings and everything that followed.

Shared sender limits were restricting campaign volume.

Sender accounts were shared across several campaigns, so each account hit its own daily limit before the campaigns reached theirs. Campaigns that looked fully configured were quietly sending far less than intended.

The messaging had a second gap. It was not tied closely enough to the signal that mattered most: a startup that had just raised money and was hiring right now. And with direct sending across a large domain pool, deliverability was a risk that needed active management rather than a set-and-forget setup.

Target the companies with a reason to talk now, and match sender-account limits to campaign limits.

Define the startups most likely to need recruiting help. Build campaigns around their live hiring signals. Write a short sequence with concrete value and follow-up built in. Reassign unused sender accounts and raise campaign limits to match their sender pools, and protect deliverability as volume grew. Then review the results every week and adjust.

• A startup targeting model. Founders and cofounders at companies with recent funding, headcount growth, limited HR resources and open roles.
• Hiring-signal campaigns. Separate campaigns for companies with and without a scraped job description, so each message could reference the actual role where the data existed instead of forcing one template on everyone.
• A three-step sequence. Concrete recruiting value, clear fee economics and job-title variables, with follow-up designed in from the start.
• Sender capacity reallocation. Unused senders brought into play and campaign limits matched to their sender pools, so shared accounts no longer ran out of daily sends before their campaigns did.
• Sending infrastructure and domain hygiene. A transactional sending service added to reduce deliverability risk, and active management of the domain pool, pausing domains when declining engagement suggested inbox placement was slipping.
• A weekly performance review. Results by campaign, segment, call to action and sequence step, feeding the next round of changes.

The first booked call came two days after the first sends.

The redesigned campaigns went out in the first week. Two days later, a prospect replied to the first email and booked a discovery call. Within the second week I diagnosed the sender-capacity problem and reallocated accounts; within the third, campaigns were split by hiring signal and data source.

From there the work was iteration: testing calls to action, comparing segments and tuning the sequence each week. The follow-up did much of the work. Most of the eleven bookings came from the second or third email, not the first.