The metrics I track to know if Ektie's outbound is actually working

Most B2B outbound dashboards are full of metrics that don't tell you anything useful until it's too late. Email volume tells you how busy the system is. Open rate tells you if your subject line worked. Pipeline created tells you what happened 6 weeks ago. Here are the five numbers I track weekly on Ektie's own outbound — and what each one tells me before the problem shows up.

Metric 1: ICP match rate on new prospects

Before any email sends, I look at the ICP match scores on the prospects Morgan queued this cycle. In Ektie's system, each prospect gets an ICP fit score based on how well they match the target criteria. If the average score drops week over week, the prospect pool is drifting — either the criteria need tightening or the data sources are returning lower-quality matches. This is the earliest signal in the whole system. Everything downstream depends on it.

Metric 2: Step 1 reply rate

Step 1 reply rate — the percentage of first-touch emails that get any reply — tells you whether your opening message is landing with this ICP right now. In sequences run through Ektie's agents, our Step 1 reply rate sits at 4.8% across all active segments. When it drops below 3%, it's a signal to check whether the ICP drifted or the message angle has decayed. This metric moves faster than pipeline and gives you 3–4 weeks of warning.

Metric 3: Positive reply rate

Positive reply rate — the subset of replies that express interest rather than opt-out — tells you whether the people replying actually want to talk. A high total reply rate with a low positive rate means you're generating controversy or confusion, not interest. In our sequences, the positive-to-total reply ratio should stay above 40%. When it drops below 30%, the message is prompting reactions but not the right ones.

Metric 4: Meeting show rate

Meeting show rate is the percentage of booked meetings that actually happen. Below 70% means prospects are booking without real intent — either the qualification before booking is too loose, or the time gap between booking and meeting is too long. In Ektie's outbound, Astra (AI AE) handles the post-booking sequence: confirmation, reminder, and a pre-meeting context note. Show rates run at 78–82% with that sequence in place. Without it: 55–60%.

Metric 5: Weeks of pipeline coverage

Pipeline coverage is the total pipeline value divided by the weekly close rate target. I want 8–10 weeks of coverage at all times. Below 6 weeks means outbound needs to accelerate immediately. Above 12 weeks means the team has enough to work but I need to check whether the older pipeline is still real or has gone stale. This is the only lagging metric I track weekly — everything else is a leading indicator pointing to it.