Prospecting metrics: the 5 numbers to track every week

By Etienne DouillardPublished 7 min read

An open hand showing five fingers: the five prospecting metrics to track every week

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Contents
  1. Which metrics should you track in B2B prospecting?
  2. How do you calculate each metric?
  3. How do you read the numbers to find what’s blocking?
  4. Why track the numbers every week?
  5. What does a weekly review look like?
  6. Which metrics are useless?
  7. How do you set realistic goals?
  8. What if the numbers look good but sales don’t follow?
  9. How do you track these metrics without spending hours on it?

Many small business owners prospect without knowing whether it works. They send messages, get a few replies, sometimes a meeting, but when results fall short they can’t tell where things get stuck. Tracking a few prospecting metrics every week changes that: you can see right away whether the problem comes from the target, the message or the conversation, and you know what to fix.

Which metrics should you track in B2B prospecting?

Five metrics are enough to run B2B prospecting, as long as you track them in the order the prospect moves forward:

  1. 📤 The number of prospects contacted: how many people in your target received a first message.
  2. 🤝 The acceptance rate: on LinkedIn, the share of connection requests accepted.
  3. 💬 The reply rate: the share of contacted people who reply, whatever the reply.
  4. 👍 The positive reply rate: the share of replies that open a real conversation.
  5. 📅 The number of meetings: the conversations you actually booked with decision-makers.

Each metric measures one stage. Together, they form a funnel: at each stage, some prospects move forward and others drop off. Where the funnel narrows too much is where you need to act.

Prospecting metrics funnel: prospects contacted, connection requests accepted, replies, positive replies, meetings
Five stages: look for the first one where the funnel narrows too much

How do you calculate each metric?

Each rate is calculated against the previous stage, over the same period:

  • Acceptance rate = connection requests accepted ÷ connection requests sent.
  • Reply rate = people who replied ÷ people who received the message (on LinkedIn, the accepted connection requests).
  • Positive reply rate = positive replies ÷ replies received.
  • Meeting rate = meetings booked ÷ positive replies.

Keep the same definitions from one week to the next. If what you count as a “positive reply” changes along the way, the comparison no longer means anything.

How do you read the numbers to find what’s blocking?

Read the numbers from top to bottom, looking for the first stage that breaks. Fixing a later stage is pointless as long as an earlier one is blocking.

What you see Where the problem is What you fix
Few prospects contacted Volume or search Broaden the signals you track, revisit your search criteria
Few connection requests accepted Target or profile Check that you have the right job titles, polish your profile
Few replies The opening line Start from a real fact, one question, fewer lines
Replies, but mostly refusals Timing or target Write to people who show a recent signal
Positive replies, few meetings The conversation Suggest the meeting at the right time, with two time slots

This diagnosis avoids a common mistake: endlessly rewriting the message when the problem is the target, or switching targets when it’s the opening line that isn’t working. If the opening line is what’s blocking, our guide to sales opening lines gives examples for each signal.

Why track the numbers every week?

Tracking the numbers every week lets you see the effect of a change quickly. If you change your opening line on a Monday, the following week already tells you whether the reply rate is moving. Over a whole month, too many changes get mixed together and you can no longer tell what worked.

A simple rhythm is enough: a fixed time slot each week, the five numbers logged in a spreadsheet, one decision per week. Changing several things at once makes it impossible to know which one had an effect.

Weekly prospecting review in 4 steps: log the numbers, find the bottleneck, change one thing, check
A fifteen-minute review, one single decision per week

You also have to accept that a single week doesn’t mean much on small volumes. With about twenty prospects contacted, two replies more or less swing the rate a lot. So look at the trend over three to four weeks before drawing a conclusion.

What does a weekly review look like?

A weekly review takes fifteen minutes if it always follows the same order. Here is an example, for a small business prospecting on LinkedIn.

Example

Week 3: 60 prospects contacted, 27 connection requests accepted, 6 replies, 2 positive replies, 1 meeting.

Reading: acceptance is fine, but only 6 people out of 27 reply. The bottleneck is the opening line.

Decision for the week: rewrite the first message so it starts from the detected signal, and change nothing else.

The following week, first check whether the reply rate has moved. If it has, keep the new opening line and move on to the next stage of the funnel. If not, check that the signals you use are recent enough before rewriting again.

Also log each decision in the spreadsheet, next to the numbers. After two months, this history shows what actually improved your results, and what changed nothing. Keep the spreadsheet itself simple: one row per week, one column per metric, and one column for the decision you made.

Which metrics are useless?

Some numbers give you a feeling of control without helping you decide anything. The number of messages sent, on its own, says nothing about their quality. Your number of LinkedIn connections, or an activity score like the Social Selling Index, measures activity, not results: we go into this in our article on the Social Selling Index.

Email open rates should also be taken with caution. They depend on technical settings in email clients, which often block tracking or open emails automatically. They can show a trend, but they don’t replace the reply rate. A good test for any number: if it went up or down by half next week, would you do anything differently? If not, stop tracking it.

How do you set realistic goals?

A realistic goal is set from your own numbers, not from market averages. Published averages mix very different industries, targets and methods: they say almost nothing about your situation.

The right method has three steps:

  1. Measure for three to four weeks without changing anything, to get a baseline.
  2. Pick the stage that blocks the most and set an improvement goal for that stage only.
  3. Review the goal every month, once the trend is clear.

A useful goal is also about what you control. “Book four meetings a month” depends on your prospects; “contact forty decision-makers with a recent signal every week” depends on you. The second goal, kept up consistently, ends up producing the first. So set an activity goal, which you can hit for sure, and a results goal, which you track without judging yourself too quickly.

The first few weeks are mostly about tuning the target and the messages. It’s normal for results to be uneven at the start: the tuning is what makes them steady later.

What if the numbers look good but sales don’t follow?

Replies and meetings that don’t lead to sales often point to a qualification problem. The meetings happen, but with people who don’t have the authority to decide, don’t have the budget, or don’t have a need in the coming months.

Two fixes help. Check that your meetings are with the right person: the one who owns the topic and can decide. And check that the timing is right: a prospect going through a recent change is more likely to move forward than one who is simply curious. That is the whole point of starting from a signal, as we explain in from a buying signal to a meeting. After each meeting, write one line on who you met and whether they can decide: within a few weeks, you’ll see whether the problem comes from targeting or from the conversation.

How do you track these metrics without spending hours on it?

A spreadsheet updated every week is enough to get started. Prospecting tools also display these stages directly. In MeetMagnet, the dashboard tracks the full funnel, from detected prospects to opportunities, and, with the Managed plan, the team helps you read the numbers during reviews: at day 7 to fine-tune, then at day 30 to decide what to change.

Screenshot of the MeetMagnet app: the prospect funnel, from new leads to opportunities
The dashboard tracks every stage, from detected prospects to opportunities

Frequently asked questions

What are the main sales prospecting metrics?

The number of prospects contacted, the connection request acceptance rate, the reply rate, the positive reply rate and the number of meetings booked. Tracked in that order, they form a funnel that shows at which stage prospects drop off, and therefore what needs fixing.

What is a good reply rate in prospecting?

There is no universal number: it depends on your industry, your target and your method. The most useful approach is to measure your own rate for three to four weeks, then work on improving it. A message built on a recent signal generally gets more replies than a generic one.

How often should you track your prospecting metrics?

Every week, at a fixed time. This rhythm lets you see the effect of a change quickly. On small volumes, though, look at the trend over three to four weeks before drawing conclusions, because a few replies more or less make the rates swing a lot.

Is the email open rate a good metric?

Treat it with caution. Email client settings often block tracking or open emails automatically, which makes it unreliable. It can show a trend, but the reply rate remains the metric that counts when judging a prospecting message.

Etienne Douillard

Co-founder and CEO, MeetMagnet

An engineer and entrepreneur for over five years, Etienne works every week with B2B SMEs on signal-based prospecting.

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