Outbound Wiki

Benchmarks

Industry benchmarks for outbound rates and volumes, and how far to trust them.

Keep quotas in your own operating context. An outbound benchmark is a published observation that helps calibrate your plan and does not set a universal target.1 A published average can give you a false read of where you stand.2 One startup earns a reply for every 38 contacts.3 Another emails more than 600 people to get a reply.4 Both write to the same kinds of inboxes over the same period and use the same tools.5 Use the benchmark to test whether your result is plausible, then judge performance through your own process.6

Run the check

  1. Population
  2. Activity
  3. Metric
  4. Funnel stage
  5. Decision

Before a benchmark goes into a plan, use this sequence. The order keeps a familiar number from becoming an accidental target.

Stage What you are trying to learn Example question
Population whether the reference matches your market and motion Who was included in this comparison?
Activity whether the work mix resembles your team What does this figure count as an activity?
Metric whether the rate uses the same denominator Is this rate per dial, contact, reply, or opportunity?
Funnel stage whether you are comparing the same point in the process Which stage does this rate describe?
Decision what action the comparison should change What will we do differently if our result is outside the range?

Start with the population

A benchmark is useful when the group behind it resembles the group you are comparing. Check the market, channel mix, geography, business model, and sales motion before reading the number.

Industry benchmarks compare performance with companies in the same category.7 The Bridge Group's 2025 survey covered 351 B2B companies, with 78% based in North America and 83% in B2B SaaS.8 That survey is a closer reference for a similar B2B SaaS motion than for every outbound team. The daily activity reference applies to a motion resembling the companies in that study.9

Write the population beside every benchmark you keep. Move on when you can explain why the reference belongs beside your own segment, channel, and motion.

Read activity as a mix

Volume figures help check workload and channel balance. A single activity number can mislead when it comes from a mixed motion and becomes a quota.

For a B2B outbound SDR in a motion resembling the surveyed companies, a reasonable daily reference is 44 phone calls, 41 emails, 19 LinkedIn touches, and 8 other activities.9 Phone-centric teams in the same study averaged 56 dials and 4.6 quality conversations per day.10

Use the mixed reference to inspect how work is distributed. Use the phone-centric figure when calls carry the motion. If your team counts activities differently, record that difference before comparing output.

Separate channel rates

Keep activity, response, and conversion on separate lines of your worksheet. An activity count does not explain a rate until you know what the rate counts.

A cold call connect rate reference is 9.9% per dial in Belkins' 2025 dataset.11 Cold email reply references can be 0.45% or 3.43% because the campaign populations and measurement methods differ.12 Do not put either reply figure into a forecast until the denominator and campaign context match.13

Channel-specific conversion rates and industry comparisons can help you optimize spend, set realistic goals, and improve channel performance.14 Ask for the denominator before asking whether the result is strong. Move on when you know whether the rate is measured per dial, delivered email, contact, reply, meeting, or opportunity.

Use industry figures carefully

Use industry figures as a starting range for email engagement. Treat them as engagement references tied to campaign populations, and keep them separate from cold outreach reply rates.

Business and finance email campaigns average a 31.35% open rate, a 2.78% click rate, and a 0.15% unsubscription rate.15 Education and training campaigns average a 35.64% open rate, a 3.02% click rate, and a 0.18% unsubscription rate.16 Ecommerce campaigns average a 29.81% open rate, a 1.74% click rate, and a 0.19% unsubscription rate.17

The reference classifies open rate as below average below 50%, average from 50 to 60%, and above average above 60%; click rate as below 3%, 3 to 6%, and above 6%; CTOR as below 6%, 6 to 10%, and above 10%; and monthly emails per subscriber as below 4, 4 to 8, and above 8.18

Compare a sector figure with the same metric in your own campaign. Do not use an open rate reference to answer a reply-rate question.

Check pipeline coverage

Check downstream benchmarks after you have separated the channel and funnel stage. They help test whether the pipeline plan can support the outcome you want.

A published pipeline table lists SMB win rates of 25 to 40% with 2.5x to 4x coverage, mid-market win rates of 15 to 25% with 4x to 6.5x coverage, and enterprise win rates of 10 to 20% with 5x to 10x coverage.19 The same table lists outbound-sourced pipeline at a 10 to 20% win rate with 5x to 10x coverage.

Use these figures to test the amount of pipeline your plan assumes. Keep the segment and source of pipeline beside the coverage figure, then replace the reference with your own result as your history grows.

Set a local benchmark

Published figures can start a comparison, then your own records should drive the operating decision. Keep the comparison stable long enough to learn from it.

Use a benchmark table once for each individual funnel stage to answer whether the rate is plausible or off by an order of magnitude.20 Compare every figure with the previous period, a target, or another channel, and apply that comparison consistently.21

If the business has no historical sales data, use published industry benchmarks, competitor case studies, or early pilot results.22 Record the reference, its population, its denominator, and the decision it informs. When your own data is available, compare the same stage and metric against that local record before changing the plan.

What not to do

The mistakes below come from treating a reference as a verdict. Use these checks before a benchmark enters a forecast or team plan.

  • Do not copy a cold-email reply figure into a forecast without matching its denominator and campaign context.13
  • Do not treat an open as proof that a person read the message: open tracking embeds a 1x1 transparent pixel in an email, when the pixel loads the system registers an open, and spam filters recognize those pixels.232425
  • A strong win or capture rate attracts attention and helps you benchmark against others, and managers should ask how the performance was achieved.26

Sources

  1. 1
    ““Reference” means a published observation, not a universal target.”
  2. 2
    “Someone publishes an average, you compare yourself to it, and you walk away with a false read on where you stand.”
  3. 3
    “One earns a reply for every 38 people they contact.”
  4. 4
    “The other has to email more than 600 to get a single reply back.”
  5. 5
    “They’re writing to the same kinds of inboxes over the same stretch of months, using the same tools.”
  6. 6
    “A benchmark tells you whether you are in a plausible range, not whether you are performing well.”
  7. 7
    “Industry benchmarks compare your performance against companies in the same category.”
  8. 8
    “Total SDR activities per day 112 median 44 phone, 41 email, 19 LinkedIn, 8 text or other 351 B2B companies; 78% North America-based; 83% B2B SaaS; 2024-2025 survey The Bridge Group, 2025”
  9. 9
    “A reasonable daily reference for a B2B outbound SDR is 44 phone calls, 41 emails, 19 LinkedIn touches, and 8 other activities, but only for a motion resembling the companies in The Bridge Group’s 2025 study.”
  10. 10
    “Phone-centric teams in the same study averaged 56 dials and 4.6 quality conversations per day.”
  11. 11
    “A useful cold call connect rate reference is 9.9% per dial in Belkins’ 2025 dataset.”
  12. 12
    “A useful cold email reply reference is harder to state: 2 current original datasets report 0.45% and 3.43% because their campaign populations and measurement methods differ.”
  13. 13
    “Neither figure should be copied into a forecast without matching the denominator and campaign context.”
  14. 14
    “Knowing the conversion rates of specific channels and benchmarking them against industry data helps you with 3 things:”
  15. 15
    “Business + Finance 31.35% 2.78% 0.15%”
  16. 16
    “Education + Training 35.64% 3.02% 0.18%”
  17. 17
    “Ecommerce 29.81% 1.74% 0.19%”
  18. 18
    “Metric Below Average Average Above Average Open rate Below 50% 50 – 60% Above 60% Click rate Below 3% 3 – 6% Above 6% CTOR Below 6% 6 – 10% Above 10% Emails/sub/mo Below 4 4 – 8 Above 8”
  19. 19
    “Segment Typical Win Rate Implied Coverage Needed SMB (deals < $15K ACV) 25–40% 2.5x – 4x Mid-market ($15K–$100K ACV) 15–25% 4x – 6.5x Enterprise ($100K+ ACV) 10–20% 5x – 10x Expansion/upsell 40–60% 1.7x – 2.5x Inbound-sourced 30–50% 2x – 3.3x Outbound-sourced 10–20% 5x – 10x”
  20. 20
    “Use the table at the top of this article exactly once, on one stage at a time, to answer a single question: is this rate plausible, or is it off by an order of magnitude.”
  21. 21
    “Every figure needs a comparison. A number alone cannot be read. Against last period, against target, or against another channel — pick one and apply it consistently.”
  22. 22
    “If your business is brand new and you have no historical sales data to draw from, use the next best alternatives: published industry benchmarks, competitor case studies, or early pilot results.”
  23. 23
    “Open rate tracking works by embedding a 1x1 transparent tracking pixel in the email.”
  24. 24
    “When that pixel loads, it registers as an "open."”
  25. 25
    “The problem: spam filters recognize these pixels.”
  26. 26
    “But whilst win and capture rates get people’s attention and help you to benchmark yourself against others, a less brutal manager should be asking you about ‘how’ you achieved your performance.”