The number
| Measure | Cloud platform |
|---|---|
| Prospects contacted | 117,000 |
| Meeting rate | 3.5% |
| Rank | 10th of 12 |
| Cross-category average | 3.9% |
| Meetings per 1,000 prospects | 35 |
This is meeting rate, not reply rate. It counts a meeting from the point it was accepted in the client’s calendar, which is why it is a much smaller number than the reply-rate benchmarks published elsewhere in this category. Reply rate is a leading indicator. Meeting rate is the decision.
What the data says
Cloud platform is the largest sample in the dataset at 117,000 prospects and joint last on meeting rate at 3.5 percent. Those two facts are related.
Large-sample categories in this table are the mature ones. The buyer already has a cloud provider, has had one for years, has a contract, and receives outbound about it constantly. There is no gap to fill and no problem to name that they have not already heard named.
What worked in these programmes was narrowing, not broadening: a specific workload, a specific cost line, a specific migration. The categories at the top of this table win by naming a problem. This one wins by naming a small enough piece of a problem to be credible about.
Note also the company-size interaction. Cloud sells into larger companies, and enterprise punishes generic outreach harder than any other size band: verified subject-matter fit replied at 51.9 percent against 13.0 percent on an identical enterprise sequence.
The tests that matter most here
- Verified subject-matter fit against job title: 4× the reply rate
- Naming their product or a competitor: 2× the reply rate
- Junior profiles book twice the meetings
The full set of fifteen is on the 2026 outbound benchmarks page.
All twelve categories
| Category | Prospects | Meeting rate |
|---|---|---|
| Software development | 17,630 | 5.5% |
| Coding software | 3,690 | 5.3% |
| Outsourcing | 3,480 | 5.3% |
| Marketing SaaS | 2,880 | 5.3% |
| Systems integration | 4,050 | 4.6% |
| Analytical SaaS | 3,760 | 4.6% |
| HR SaaS and AI | 46,200 | 4.4% |
| CPaaS | 34,800 | 4.2% |
| AI order-to-cash | 12,400 | 4.2% |
| Cloud platform | 117,000 | 3.5% |
| CRM | 84,300 | 3.5% |
| Networking and security | 59,700 | 3.5% |
The spread from top to bottom is 5.5 against 3.5 percent, a factor of 1.6. Worth keeping in perspective: in the targeting test, the same sequence produced 13.0 and 51.9 percent reply rates depending only on how the list was built. Category matters less than how well you know the person you are writing to.
How this data was collected
117,000 prospects in this category, inside a dataset of 389,890 prospects and 15,018 meetings run for 17 clients across 41 programmes between 2018 and 2026. Prospects were split at random inside each client account for every controlled test, holding industry, geography, seniority and company size constant on both sides, and no test was called below 2,000 prospects per arm.
One thing to hold in mind. The category is the seller’s, not the prospect’s: it describes what our client sells rather than what the person receiving the message does. The breakdowns by who was contacted are on the persona, company size and region pages.
Cite this page as: Prospectio.ai, Outbound benchmarks for Cloud platform, 117,000 prospects, 2018 to 2026.