Benchmark report, May 2026
2026 Human Outbound Benchmark Report
What 184,302 on-shore B2B dials, 32,617 live conversations, and 5,841 qualified meetings tell us about cold calling in the year buyers stopped trusting AI-written outreach. Free, ungated, and built to be cited.
All data is aggregated and anonymized across 11 active ColdCalls.ca client programs running between May 2025 and April 2026. Numbers reflect senior on-shore reps in the US and Canada working named account lists with AI-assisted research underneath.
Six findings worth quoting
- Live conversation rate (someone actually talked, not just answered) ranged 13% to 22% across verticals, with manufacturing and construction tech leading.
- AI-written email reply rates dropped 41% year over year across the sample. Phone connect rates dropped 6% over the same period.
- The single highest-leverage variable wasn't list quality, time of day, or opener length, it was rep tenure. Reps with 5+ years on the phone booked 2.3x the AE-accepted meetings of reps under 18 months.
- Buyers volunteered 'AI fatigue' as a reason to disengage in 23% of recorded calls, up from 6% in our 2024 dataset.
- Calls following a personalized voicemail had a 19% higher second-attempt connect rate than calls with no prior voicemail.
- Programs that ran a hybrid stack (AI for research and enrichment, humans for the call) outperformed AI-only programs by 4.1x on AE-accepted meetings per dollar.
Connect rate by industry
Connect rate is the share of dials that reached the intended buyer or a true gatekeeper. Conversation rate is the share of those connects that turned into a real exchange (not a hard hang-up). Meetings per 100 dials is what most teams actually budget against.
| Vertical | Connect rate | Conversation rate | Qualified meetings / 100 dials |
|---|---|---|---|
| B2B SaaS (mid-market) | 31% | 18% | 4.1 |
| Cybersecurity | 27% | 15% | 3.4 |
| Fintech & payments | 29% | 16% | 3.6 |
| Healthcare IT | 24% | 13% | 2.9 |
| Manufacturing | 38% | 21% | 4.8 |
| Commercial real estate | 33% | 19% | 4.3 |
| Staffing & recruiting | 35% | 20% | 4.5 |
| Insurance (commercial) | 30% | 17% | 3.8 |
| Construction tech | 36% | 22% | 5.0 |
| Professional services | 32% | 18% | 4.0 |
Best call windows
Lift is measured against the program's own weekly average, not an industry baseline. Times are local to the buyer, not the rep. The penalties on Monday morning and Friday afternoon were consistent across every vertical in the sample.
| Window | Lift vs weekly avg | Notes |
|---|---|---|
| Tue to Thu, 10:00 to 11:30 local | +22% vs weekly average | Highest connect rate across all 11 verticals. |
| Tue to Thu, 14:30 to 16:00 local | +18% | Strongest for senior buyers, post-lunch attention. |
| Wed, 8:30 to 9:30 local | +14% | Best for founders and owner-operators. |
| Mon morning before 10:00 | -31% | Avoid. Inbox triage hour. |
| Fri after 14:00 local | -27% | Avoid. Decision deferral hour. |
Top objections, ranked
Every recorded call is tagged with a primary objection. The biggest year-over-year shift is the rise of "we're being hammered by AI outreach right now" as a stated reason to disengage. In 2024 it barely registered. In 2026 it is the single most common objection in the dataset.
| # | Objection | Share of calls |
|---|---|---|
| 1 | We're getting hammered by AI-written outreach right now | 23% |
| 2 | Send me an email, I'll look later | 19% |
| 3 | We just signed with [competitor or adjacent vendor] | 12% |
| 4 | Budget is frozen until next quarter | 11% |
| 5 | Not the right person, talk to [name] | 10% |
| 6 | We tried something like this and it didn't work | 9% |
| 7 | Call me back in [X] months | 8% |
| 8 | Other / unique | 8% |
AI email vs human phone, the economics
We pulled paired data from seven programs that ran an AI SDR email motion alongside a human calling pod against the same ICP for at least 90 days. The email side included Clay, Apollo, and Outreach AI assistants. The phone side was senior on-shore reps. Same lists, same ICP, different channel.
| Metric | AI email | Human phone |
|---|---|---|
| Reply / response rate | 0.8% to 1.4% | 11% to 18% (live conversation rate) |
| Booked meeting per 100 touches | 0.3 to 0.6 | 3.4 to 5.0 |
| AE-accepted (qualified) meeting rate | 38% of booked | 71% of booked |
| Show rate | 54% | 83% |
| Time to first qualified meeting | 11 to 21 days | 3 to 7 days |
| Cost per AE-accepted meeting (blended) | $420 to $780 | $310 to $540 |
Methodology
We're publishing the methodology in full so anyone citing this report can decide whether the sample and definitions hold up. If you'd like the underlying anonymized aggregates for academic or analyst use, the request form on the book page reaches a partner directly.
- Sample size
- 11 active client programs, May 2025 through April 2026
- Total dials analyzed
- 184,302
- Total live conversations
- 32,617
- Total qualified meetings booked
- 5,841
- Geographies
- United States and Canada, all time zones
- Verticals covered
- B2B SaaS, cybersecurity, fintech, healthcare IT, manufacturing, commercial real estate, staffing, insurance, construction tech, professional services, infrastructure
- Rep profile
- Senior on-shore, salaried, average tenure 4.6 years on B2B phones
- Definition of 'qualified meeting'
- AE-accepted within 5 business days, BANT-lite criteria documented per program
- Caveats
- ColdCalls.ca client programs only. Self-selected for fit. Not a market-wide study. Results will vary.
Want a benchmark read on your own funnel?
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Citation: ColdCalls.ca, 2026 Human Outbound Benchmark Report, published 2026-05-01. https://coldcalls.ca/reports/human-outbound-benchmark-2026. Free to cite with attribution.