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Outbound sales metrics: formulas, benchmarks and a scorecard

Thumbnail for a guide to outbound sales metrics: formulas, worked examples and sourced benchmarks from list quality to cost per meeting.

Contents

Outbound sales metrics are the numbers that show where your pipeline is won or lost: list quality, activity, connect and reply rates, meetings, pipeline and cost per meeting. Track one conversion rate per stage, with a fixed denominator, and you will know which stage to fix this week.

Below, each metric comes with its formula, a worked example from one fictional US team, and what good looks like, using only published outbound sales benchmarks with their source and year. At the end you get a scorecard template to copy.

What are outbound sales metrics?

Outbound sales metrics are the counts and conversion rates that measure each stage of outbound prospecting, from the contact list to sourced pipeline. They tell you whether you reach the right people, whether those people respond, and what each meeting costs. They are the scoreboard of the outbound sales process, the outbound half of sales prospecting.

They fall into three layers. Activity metrics (dials, emails) are visible on day one, efficiency metrics (connect rate, reply rate, meetings per 100 accounts) need a few weeks, and outcome metrics (pipeline, cost per meeting) need a full sales cycle. Teams manage what they see first, which is how a busy dashboard sits on top of an empty pipeline.

The outbound sales metrics funnel, stage by stage

Every outbound sales KPI is a conversion between two stages of one funnel: contacts, touches, responses, meetings, opportunities. Measure each gate on its own and you can see which one leaks.

Funnel of outbound sales metrics for one SDR in one month: 500 contacts, 2,150 touches, 137 replies and connects, 12 meetings booked, 10 held, 6 opportunities.
Each arrow in the funnel is one metric; find the stage that leaks before you change anything else.

The worked examples below follow one fictional team through September. Jordan Ellis is an SDR at Harborline, a Denver company selling fleet-maintenance software. Jordan worked 250 accounts with two contacts each (500 people), sent 1,100 emails and placed 1,050 dials over 21 working days.

List quality metrics: found rate, statuses and bounce rate

List quality metrics measure how many of your contacts can be reached at all, before anyone writes a line of copy. They cap every rate further down: a contact with no email and no mobile can never reply.

Metric Formula Worked example What good looks like
Email found rate Emails found ÷ contacts searched 440 ÷ 500 = 88% 42% to 92% across 8 providers on one North America list (our benchmark, 2026)
Mobile found rate Mobiles found ÷ contacts searched 350 ÷ 500 = 70% 32% to 87% across the 6 providers with phone data (same benchmark)
Status mix Valid, Risky, Not found ÷ contacts searched 76% Valid, 12% Risky, 12% Not found No published B2B benchmark; see below
Bounce rate Bounced emails ÷ emails sent 13 ÷ 1,100 = 1.2% Under 2% (Instantly’s advice, 2026); Hunter users averaged 3.6% in 2025
Illustration of a list summary: 500 leads, 440 emails found (88%), 380 Valid, 60 Risky, 60 Not found, 350 mobiles found (70%), 7,940 credits charged.
Illustration with example numbers: found rate and status mix are the first two list quality metrics to read on any new list.

The found-rate ranges come from our provider benchmark: our own test, with the raw data published, running the same list of founders through 8 providers. Run the same test on 100 of your own accounts before you buy data.

Read the status mix before you send. Valid means the mailbox was verified. Risky means the domain accepts every address (a catch-all), so the mailbox cannot be confirmed; about 20 to 30% of Risky emails are deliverable, so send them from a secondary domain. Not found means no address came back. More in Valid, Risky and Not found explained.

There is no published benchmark for the status mix of a fresh B2B list. For context, ZeroBounce found that only 62% of the more than 11 billion addresses its customers submitted in 2025 were valid, and more than 9% were catch-all, on lists that mix business and consumer data.

Bounce rate is the list metric that hurts the next campaign too. Every bounce damages the sending domain’s reputation. ZeroBounce’s 2026 report puts email list decay at “at least 23%” a year (2025 data), so a list verified in spring will bounce more in the fall. Our guide to email bounce rate covers the fixes.

Activity metrics: dials, emails and new accounts

Activity metrics count the work: dials, emails, touches and the accounts entering your cadence. They are leading indicators, useful only next to the conversion rates they feed.

Metric Formula Worked example What good looks like
Dials per rep per day Dials ÷ working days 1,050 ÷ 21 = 50 56 on phone-centric SDR teams, 28 on email-centric ones (The Bridge Group, 2025)
Activities per rep per day All touches ÷ working days 2,150 ÷ 21 = 102 Median 112, of which 44 phone and 41 email (The Bridge Group, 2025)
New accounts per week Accounts added to a cadence 250 in 4.2 weeks = about 60 Your own baseline
Touches per prospect Touches ÷ prospects worked 2,150 ÷ 500 = 4.3 Top prospectors needed 5 touches per conversion, others 8 (RAIN Group, 2017 data)

New accounts per week is the leading indicator most teams skip. A team that keeps reworking the same accounts runs out of market, and it shows up a month later as falling reply rates that look like a copy problem.

How many touches, in what order and over how many days is a cadence question. See our sales cadence examples that mix calls and emails.

Connect and reply rates: did the touches reach anyone?

Connect rate and reply rate measure whether your touches reach a person who answers. Both swing widely with the denominator, so write yours down before you compare it with anyone else’s.

Metric Formula Worked example What good looks like
Connect rate Connects ÷ dials 115 ÷ 1,050 = 11% 5.4% average, 13.3% top quartile (Gong, 2024)
Reply rate per email sent Unique replies ÷ emails sent 22 ÷ 1,100 = 2.0% 3.43% average, 5.5%+ top 25%, 10.7%+ top 10% (Instantly, 2025 data)
Reply rate per recipient Contacts who replied ÷ contacts emailed 22 ÷ 440 = 5.0% 4.5% average, 3% for sales sequences (Hunter, 2025 data)
Positive reply rate Interested replies ÷ contacts emailed 8 ÷ 440 = 1.8% No verified public benchmark; track your own
Bar chart of cold email reply rate benchmarks: Instantly top 10% 10.7%, top 25% 5.5%, Hunter 4.5% per recipient, Instantly average 3.43%, Hunter sales 3%, Belkins 0.45%.
A 0.45% and a 4.5% reply rate can both be normal: check how each source counts before you compare.

Jordan’s 2.0% per email sent and 5.0% per recipient describe the same 22 replies. Belkins, which divides unique replies by every email sent across its agency campaigns, reports 0.45% for 2025. Compare your number only with a benchmark that shares your denominator.

On the phone side, split connect rate by number type: in Nooks’ analysis of nearly 3 million dials (2025), mobile numbers connected 45% more often than non-mobile numbers. Definitions, attempts and time of day are covered in our cold call connect rate benchmarks.

Read the two channels together. In Gong’s 2024 data, leaving a voicemail raised email reply rates from 2.73% to 5.87%, so a drop in calls can show up as a drop in replies. See multichannel prospecting for how to combine them.

Meeting metrics: per 100 accounts, per connect and held

Meeting metrics tell you whether conversations and replies turn into time on the calendar. The one that isolates targeting from effort is meetings per 100 accounts worked.

Metric Formula Worked example What good looks like
Meetings per 100 accounts Meetings booked ÷ accounts worked × 100 12 ÷ 250 × 100 = 4.8 No published benchmark; compare your segments
Meetings per connect Meetings from calls ÷ connects 8 ÷ 115 = 7.0% 4.6% average, 16.7% top quartile (Gong, 2024)
Meetings per 100 dials Meetings from calls ÷ dials × 100 8 ÷ 1,050 × 100 = 0.8 0.25 average, 2.2 top quartile (Gong’s 402 and 45 dials per meeting); 0.27 (Belkins, about 370)
Held rate Meetings held ÷ meetings booked 10 ÷ 12 = 83% No verified public benchmark
Meetings held per SDR a month Count 10 Median quota: 10 first meetings held (The Bridge Group, 2025)

Measure meetings per account, not per contact. Per contact rewards a rep for emailing eight people at one company; per account rewards picking better companies, which is the behavior you want.

Count a rescheduled meeting as held only when it happens. Excluding reschedules from the denominator hides a real problem.

For a practitioner reference point, Arnaud Renoux’s 894 dials across 8 recorded sessions (July to September 2026), mostly to Australian mid-market tech prospects on direct mobiles, connected 23% of the time and booked 18 meetings: about 2 per 100 dials. That is one experienced caller and small samples, not a benchmark. Wider data sits in our cold calling statistics and sales prospecting statistics.

Pipeline and cost per meeting: is outbound paying?

Pipeline and cost metrics decide whether outbound is worth scaling: how much qualified opportunity it sources and what each meeting costs to produce.

Metric Formula Worked example What good looks like
Opportunities from held meetings Qualified opportunities ÷ meetings held 6 ÷ 10 = 60% Median quotas: 10 held, 6 converted a month (The Bridge Group, 2025)
Pipeline sourced Value of opportunities outbound sourced 6 × $25,000 = $150,000 Median $3.78M a year per SDR, middle half $1.9M to $6.4M (The Bridge Group, 2025)
Cost per meeting held Total monthly cost ÷ meetings held $9,317 ÷ 10 = $932 No verified public benchmark; track your trend
Pipeline per dollar Pipeline sourced ÷ total cost $150,000 ÷ $9,317 = $16 Your own trend
Table of a cost per meeting calculation: $6,667 SDR pay, $1,901 manager share, $349 data, $400 tools, $9,317 total, $932 per meeting held, $1,553 per opportunity.
Data is under 4% of the cost per meeting; the rep’s time is the expensive part, so wasted dials and bounces cost far more than credits.

What goes into cost per meeting. Include everything the motion consumes: rep pay, a share of the manager, data, tools and sending domains. The example uses on-target earnings only, so add payroll taxes and benefits for a full figure.

The line most calculations leave out is waste. Every bounced email and every dial to a front desk was paid for, in data and in rep time. In the example, data is $349 of $9,317, under 4% of the cost; the rep’s hours are most of the rest. That is why a cheap list that sends reps to dead inboxes is the expensive one.

Outbound sales scorecard template

A scorecard puts one row per stage on a single page, each with a fixed formula and a target, so the weekly review is one number per stage instead of a dashboard tour.

Outbound sales scorecard template with 10 metrics, formulas and targets: bounce under 2%, 5.4% connect rate, 3.43% reply rate, 10 meetings held per SDR a month.
Copy the ten rows into a sheet, fill one column per week, and review one number per stage.
Outbound sales scorecard (one row per week, per rep or segment)
Week of: ______ Rep or team: ______ Segment: ______
LIST Contacts added: __ Email found: __% Mobile found: __% Valid: __% Bounce: __%
ACTIVITY Dials: __ Emails sent: __ New accounts: __
RESPONSE Connect rate: __% Replies per email sent: __% Positive replies: __
MEETINGS Booked: __ Held: __ Held rate: __% Per 100 accounts: __
PIPELINE Opportunities: __ Pipeline sourced: $______
COST Total cost: $______ Cost per meeting held: $______
One stage to fix next week: ______________________

Review it on a fixed rhythm, so each metric is read when it has enough volume to mean something:

  • Daily, with the rep only: activity. Daily activity reports to leadership turn into theater.
  • Weekly: list, response and meeting rates, by rep and by segment.
  • Monthly: meetings per 100 accounts by segment. This is the targeting review.
  • Quarterly: pipeline and cost per meeting, once a full sales cycle has passed.

If you want a fuller framework around this scorecard, DialNexa’s sales KPI blueprint sets out formulas, owners and a four-week rollout plan for a sales KPI stack.

Common challenges: what the numbers are telling you

Single outbound sales metrics mislead; pairs diagnose. Work through them in the order below, because a data problem makes every later number meaningless.

Flow of how to diagnose outbound sales metrics in order: data first, then targeting, message, the ask, and the individual rep last.
Fixing the message while the list is broken wastes a quarter; start at the top.

High activity, low reply rate

The likely cause is the wrong accounts or the wrong roles, not the copy. Split meetings per 100 accounts by segment and narrow to the segments that book. In Gartner’s 2025 buyer survey, 73% of B2B buyers said they actively avoid suppliers who send irrelevant outreach.

Good reply rate, few meetings

The replies are polite deflections, or the ask is too big for a first conversation. Change the call to action: ask whether the problem is a priority, or for 15 minutes, not for a demo.

Meetings booked, but not held

You are booking people who cannot buy, or not confirming. Check the titles of your no-shows, and send a one-line agenda the day before every meeting.

Meetings held, but no pipeline

Qualification is too loose. Write down the two or three facts that make a meeting count as a qualified opportunity, and report held meetings that meet them separately.

Bounce rate climbing on a list that was clean

The list is aging. Re-verify before every new cadence, and track the median age of contacts in active sequences: when it rises, bounce rate follows.

One rep far ahead of the rest

It is a person, not the system. Copy that rep’s list, opener and call times before you change the process for everyone.

Best practices for tracking outbound sales KPIs

Good tracking is mostly discipline about definitions and splits. These three habits keep the numbers comparable month to month.

Split every rate by segment and channel

A blended rate hides the segment that works. Report meetings per 100 accounts by segment and reply rate by sending domain, and keep each definition unchanged for the whole quarter so this month compares with last.

Set attribution once

Outbound and inbound will both claim the deal a rep emailed in March that filled in a form in June. Set the source at the first meaningful touch and never rewrite it, use a fixed window (90 days is a common choice), and report sourced and influenced pipeline separately.

Watch first touches against follow-ups

If most of a rep’s touches this week are follow-ups, the top of the funnel has stopped being fed, and meetings will drop one sales cycle later. Our outbound lead generation playbook covers keeping it fed.

What to look for in your reporting tools

Most of these outbound sales metrics live in three tools: the sequencer, the dialer and the CRM. Before you trust a dashboard, check that your stack can give you:

  • Reply rate per email sent and per recipient, with replies counted once per contact.
  • Call outcomes logged with fixed labels, plus the number type of each dial.
  • The email status (Valid, Risky, Not found) stored on each contact, so bounces can be read by status.
  • One CRM record per contact, so every meeting and opportunity traces back to its list and segment, plus exportable costs (credits, seats, domains).

How Scalelist helps with the first stage

Scalelist, an AI Lead Finder, works on the stage every other metric depends on: the list. You describe your buyers in one sentence, see how many people match before you spend a credit, and get verified work emails labeled Valid or Risky plus direct mobile numbers.

Describe your buyers in one sentence and get verified emails and direct mobiles, paying only for what is found.

Describe your buyer in one sentence

FAQ

What are the most important outbound sales metrics?

Meetings per 100 accounts, bounce rate, connect rate, reply rate and cost per meeting held. Meetings per 100 accounts shows targeting quality, bounce rate shows list quality, connect and reply rates show whether touches reach people, and cost per meeting shows whether the motion pays. Track each one with a fixed formula every week.

What is a good reply rate for outbound email?

Around 3% to 5%, depending on the denominator. Instantly’s 2025 platform average was 3.43% per email sent, with the top 10% of campaigns at 10.7% or more. Hunter’s 2025 average was 4.5% per recipient and 3% for sales sequences. Belkins, dividing unique replies by every email sent, reported 0.45%.

What is a good bounce rate for cold email?

Under 2%. Instantly’s 2026 benchmark report advises keeping bounces below 2%, and Hunter’s users averaged 3.6% in 2025. A rate above 2% on a verified list usually means the list has aged: re-verify before the next cadence and send Risky (catch-all) addresses from a secondary domain.

How do you calculate cost per meeting?

Add everything outbound costs in a month (rep pay, a share of manager time, data, tools and sending domains) and divide by meetings held. With The Bridge Group’s 2025 median SDR and manager pay, 10 held meetings and assumed tool costs, our worked example lands at about $932 per meeting held.

How many meetings should an SDR book per month?

The Bridge Group’s 2025 survey of 351 B2B companies put the median monthly SDR quota at 10 first meetings held, or 6 converted to qualified opportunities. That is a quota median, not an average result: at the median company, 60% of SDRs hit quota, the lowest share in the study’s history.

How often should you review outbound sales metrics?

Activity daily and only with the rep; list, response and meeting rates weekly by rep and segment; meetings per 100 accounts monthly by segment; pipeline and cost per meeting quarterly, once a full sales cycle has passed. Reviewing outcome metrics weekly mostly creates noise.

Sources

Arnaud Renoux

Co-Founder at Scalelist