Campaign-level numbers from real client work - prospects reached, replies, meetings booked - published so you can see what cold outreach actually produces. No surveys, no estimates.
Across 15 months of human-run campaigns, AISH averaged a 14% reply rate and booked 930+ qualified B2B appointments, with no ads and no spam. Prospect-to-meeting ratios ranged from roughly 1 meeting per 38 approaches on tightly targeted campaigns to 1 per 774 prospects on high-volume cold email (both computed from the campaign data below). For context, a 1-5% reply rate is the typical market range for automated cold email, which is why most benchmark reports set expectations so low. The gap is not magic. Every reply in our data was earned by a researched list and a real person writing and answering messages - the approach we break down in human-led vs automated outreach. Use the numbers on this page as reference points for what disciplined, human-run outreach produces, not as guarantees.
The table below shows one row per real campaign: who the client was, how many prospects were reached, how many replied or converted where that number was published, and how many meetings were booked. Every figure comes from the linked public case study - nothing is modeled or extrapolated. A hyphen means the case study does not publish that metric.
| Client | Industry | Prospects reached | Conversations / replies | Meetings booked |
|---|---|---|---|---|
| SalesDriver | Sales services (high-ticket) | 120,000+ | - | 155 meetings, 23 deals closed at $10K+ ticket |
| Hand In Hand Promos | Promotional products | 4,595 decision-makers | 580 conversations, 213 warm leads | 61 meetings in 6 months |
| MTestHub | SaaS (AI hiring) | ~3,000 | - | 5 in first 4 months, then 54 plus 11 closed deals in final 2 months |
| Procyon Advisors | Wealth management ($9B AUM) | 800+ approaches | 151 connections opened | 21 meetings in month one |
| Vlasyev | SaaS video agency | 1,870+ leaders | 65 warm leads | 25+ strategy calls in 3 months |
| MX.0 Media | Manufacturing conferences | 5,000+ senior manufacturers | - | 57 event seats, $30K+ revenue |
| Athletic Skills | Sports coach education | 5,000+ coaches in 6 months | - | 50+ appointments |
In our campaign data, one booked meeting required anywhere from 38 to 774 prospects reached, depending on targeting depth and channel mix (all ratios computed from the table above). Procyon converted roughly 1 in 38 approaches into a meeting; Hand In Hand and Vlasyev both landed near 1 in 75; Athletic Skills sat around 1 in 100; SalesDriver's high-volume email program needed about 774 prospects per meeting. The pattern is consistent: the more research and personalization per prospect, the fewer prospects you need. Procyon's list was hand-built around a specific Michigan expansion thesis, while SalesDriver traded per-prospect depth for scale - and still closed 23 deals at a $10K+ ticket, because the economics worked at that volume. That research layer is exactly what our lead research service exists to supply.
Read reply rate and meeting rate as two different tests. Reply rate measures whether your list and message are relevant; meeting rate measures whether a real person can turn interest into a calendar slot. A campaign can pass the first and fail the second - Hand In Hand generated 580 conversations but needed skilled human follow-up to convert 61 of them into meetings. Volume-to-meeting ratios also vary honestly by deal size and industry. A $9B wealth firm booking owner-level M&A conversations should expect fewer, harder-won meetings than a promo products company selling to six industries at once - yet Procyon's ratio was actually the best in our data because the targeting was surgical. So do not benchmark yourself against a single average. Benchmark against the campaign in the table that most resembles your deal size, buyer seniority and channel mix, then see how we structure this work on our B2B appointment setting page.
Targeting and messaging move outreach results far more than volume does. The clearest evidence in our data is MTestHub: roughly 3,000 prospects contacted over four months produced just 5 appointments. After a 3-day rebuild of the list and messaging - same client, same product, same human team - the next two months produced 54 appointments and 11 closed deals. That is more than 10x the appointments in half the time (computed), without adding volume. What changed was who was being contacted and what the first message said. The failing sequence targeted too broadly and led with the product; the rebuilt one targeted the specific roles feeling the hiring pain and led with that pain. If your campaign is flat, the fix is almost never "send more." It is rebuilding the list and the first line - the same discipline behind our cold email services and LinkedIn lead generation programs.
Every number on this page comes from a real client campaign run by AISH between 2024 and 2026, executed by human researchers and outreach specialists - no automation bots, no ads. Each row in the benchmarks table links to the published case study it was taken from, so every figure can be checked at the source. We do not use industry surveys, third-party estimates or modeled projections anywhere on this page. Where a case study does not publish a metric, the table shows a hyphen rather than a guess. Derived ratios (such as prospects per meeting) are simple division of published figures and are labeled as computed. Aggregate figures - 930+ appointments in 15 months, 14% average reply rate, 38% average pipeline increase - span our full client portfolio, which you can browse on the case studies page. Journalists and researchers are welcome to cite this data with a link; for questions about any campaign, contact us.
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