Prospeo's mobile numbers are accurate as records and unreliable as conversations. The company publishes 98% data accuracy and a 30% average pickup rate on mobiles on the same page, and both numbers describe different things: whether the number belongs to the right person, and whether that person answers.
Figures here come from Prospeo's pricing, data and mobile finder pages, read on November 6, 2026.
What Prospeo publishes
Prospeo's data page lists 280M verified leads and companies, 143M verified email addresses, 125M verified mobile numbers, 98% data accuracy and a 30% pickup rate on mobiles. Its mobile finder page repeats the 98% badge and breaks pickup down by region.
| Region | Verified phone numbers | Published pickup rate |
|---|---|---|
| North America | 70M | 32% |
| Europe | 32M | 29% |
| Asia | 56M | 27% |
| Middle East | 15M | 28% |
| South America | 42M | 31% |
The 98% figure covers whether a delivered field is correct. Prospeo says records pass five verification steps, and that 300M profiles survive out of 800M collected records. The 30% covers whether a person picks up. A mobile can be the right person's number and still ring out, which is the normal condition of cold calling rather than a data failure.
What 30% looks like on a dial sheet
At a 30% pickup rate, 150 dials reach about 45 people. The buyer who raised this question in r/microsaas runs 150 to 200 dials per rep per day at VP and director level in SaaS companies, and was getting 10 to 15% from ZoomInfo mobiles. Prospeo's published 30% would roughly double that.
Two things to hold onto before you budget for it. The 30% is an average across regions and seniority levels, and the regional figures run from 27% in Asia to 32% in North America. Director-level contacts at mid-market software companies are a narrower slice than the average. Your own connect rate will land near the published number, not on it.
The other thing is that pickup rate is measured on calls placed through Prospeo's platform. It tells you how often a person answers, not how often the number was right. If half your connects were with the wrong person or a former employee, that would show up as a connect, not a miss.
What a mobile costs
One credit buys one verified business email. A direct mobile costs 10 credits, and Prospeo says it only charges when a number is found. That last part matters for testing, because failed lookups do not eat the balance.
| Plan | Price | Credits per month | Mobiles per month | Cost per mobile | Cost per connect at 30% |
|---|---|---|---|---|---|
| Free | $0 | 100 | 10 | $0 | n/a |
| Starter | $49 | 2,000 | 200 | $0.25 | $0.82 |
| Growth | $99 | 5,000 | 500 | $0.20 | $0.66 |
| Pro | $249 | 15,000 | 1,500 | $0.17 | $0.55 |
Yearly billing takes 25% off: Starter at $37 a month, Growth at $74, Pro at $187. Credits reset each billing cycle and do not roll over, so a quiet month loses the balance. Add-on credits start at 1,000 for $10.
At Starter, $49 buys 200 mobiles. If your test returns a 25% connect rate, that is 50 conversations a month before list building and before anyone's dialling time. Compare that against what a rep costs per hour and the data turns out to be the cheap part.
How fresh the numbers are
Prospeo refreshes its highest-intent leads every week and the broader dataset about every 30 days, according to its data page. That answers the freshness worry in the thread directly. A provider claiming quarterly updates can leave a mobile in a file for a year, and mobiles go stale faster than emails because people change phones and employers.
Job changes are the main source of dead mobiles. Prospeo sells job change tracking from the Growth plan at $99, which matters if you build a list once and work it for a quarter rather than rebuilding every month. On Starter you get CSV and API enrichment and basic integrations, but not the job change filter.
Why a verified mobile still fails
Four things produce a dead end on a number Prospeo verified:
- The person left the company and the line was reassigned.
- The number is a desk phone that routes to a receptionist.
- The contact is on a personal mobile they do not answer for work calls.
- The area code is right but the number belongs to a colleague on the same account.
None of these show up in a data accuracy score, which measures whether a field is right, not whether a call connects. Region matters too: Europe carries 32M of the verified numbers against North America's 70M, so coverage thins as you move outside the US.
How to test it in a week
The advice in the thread was to sample against numbers you already know are good, and that is the right test. It takes about a week:
- Pull 100 contacts from your CRM where you have a mobile that has connected before.
- Run the same 100 through Prospeo and log how many it matches.
- Dial the matched numbers and separate connects from wrong-person answers and dead lines.
- Multiply your connect rate by the mobiles your plan buys, then compare against your current provider's cost per connect.
Run it on the free plan first. A hundred credits buys ten mobiles, which is enough to see whether the format of the results fits your workflow, though not enough to measure a connect rate. For that, buy one month of Starter and treat the $49 as a test budget.
Where the data stops being the problem
A 30% connect rate on accurate mobiles still leaves 70% of dials reaching voicemail, a gatekeeper or nobody. Teams that fix this usually change the offer, the calling window or the follow-up sequence rather than the data vendor, because the numbers were never the weak link.
That is the work an outbound marketing agency takes on: list, sequence, dial windows and follow-up run as one system instead of four tools stitched together. If you would rather buy the mobile data and keep the calling in house, Prospeo's numbers are good enough to build on, provided you test them on your own list before you commit to a yearly plan.