Head-to-head · B2B data

Prospeo vs Snov.io

Snov.io wins 16 of 25 decided metrics across 3 shared suites; the loser still leads where its column is highlighted. Same frozen test sets, same run; the better value in each row is highlighted.

Prospeo

Contact data, email verification and enrichment for outbound via API, bulk endpoints and MCP.

★ 4.7 · 1,000 reviewsA

Access: MCP · API · CSV · Batch · Integrations

Snov.io

Email outreach platform with finder, verifier, bulk verification, phone enrichment and an enrichment API.

★ 4.5 · 736 reviewsB

Access: MCP · API · CSV · Batch · Webhooks · Integrations

Email Datacore + suite-specific metrics

updated 2026-09-25

Metric	Prospeo · #23 of 29	Snov.io · #26 of 29
Match rate	61.7%	43.3%
Valid email rate	54.1%	61.5%
Latency p50	1,231ms	-
Cost / valid email	$0.037	$0.015
Invalid rate	2.7%	11.5%
Catch-all share	40.5%	23.1%
Business email	100.0%	100.0%
Right-person rate	100.0%	92.3%
Decoy hit rate	0.0%	-
Catch-all detection	60.0%	66.7%
Confidence-score quality	-	-
Geographic coverage	5	8

Phone Datacore + suite-specific metrics

updated 2026-09-25

Metric	Prospeo · #11 of 24	Snov.io · #2 of 24
Match rate	71.4%	91.8%
Valid / reachable rate	85.7%	86.7%
Latency p50	570ms	-
Cost / mobile number	$0.231	$0.508
Right-person rate	88.0%	96.2%
Mobile coverage	61.2%	79.6%
Disconnected rate	2.9%	0.0%
Low-activity share	11.4%	13.3%
Landline / mobile classification	97.1%	-
Country accuracy	88.6%	82.2%
Geographic coverage	8	9

People Datacore + suite-specific metrics

updated 2026-09-25

Metric	Prospeo · #3 of 24	Snov.io · #17 of 24
Profile match rate	98.0%	83.7%
Identity accuracy	100.0%	100.0%
Latency p50	1,278ms	-
Price / matched profile	$0.020	$0.0095
Current employer accuracy	81.3%	85.4%
Move detection	7.7%	-
Decoy hit rate	0.0%	-
Job title accuracy	56.3%	61.0%
Seniority label accuracy	65.1%	-
Location accuracy	95.8%	97.6%
Work history completeness	6.3	0.0
Education completeness	0.0%	0.0%
Skills present	0.0%	78.0%
Social / profile URLs	100.0%	100.0%
Coverage by geo / function / seniority	83.3%	55.6%

Company Datacore + suite-specific metrics

updated 2026-09-25

Metric	Prospeo · #9 of 23	Snov.io · not measured
Domain-to-company match rate	100.0%	-
Company name accuracy	94.0%	-
Latency p50	1,050ms	-
Price / matched company	$0.020	-
Industry accuracy	78.0%	-
Employee count ±20%	25.7%	-
HQ / location accuracy	81.0%	-
Description present	94.0%	-
Founding year accuracy	58.0%	-
Domains / social profiles	100.0%	-
Coverage by country / size	100.0%	-

Technographic Datacore + suite-specific metrics

updated 2026-09-25

Metric	Prospeo · #4 of 10	Snov.io · not in suite
Coverage	94.0%	-
Detection accuracy	79.5%	-
Latency p50	1,050ms	-
Cost / lookup	$0.021	-
Live stack recall	59.9%	-
Technologies per domain	26	-
Dated results	0.0%	-
Coverage by geo / size	90.0%	-

Questions about Prospeo vs Snov.io

Which is better, Prospeo or Snov.io?

Snov.io wins 16 of the 25 metrics decided between them, across 3 benchmarks that measured both. Leaderboard ranks: Email Data: Prospeo #23 of 29, Snov.io #26 of 29; Phone Data: Prospeo #11 of 24, Snov.io #2 of 24; People Data: Prospeo #3 of 24, Snov.io #17 of 24.

Which is cheaper, Prospeo or Snov.io?

Measured on the list price of each provider's central self-serve pack, divided by what it actually returned: Email Data, cost per valid email: Prospeo $0.037, Snov.io $0.015; Phone Data, cost per mobile number: Prospeo $0.231, Snov.io $0.508; People Data, price per matched profile: Prospeo $0.020, Snov.io $0.0095.

How do Prospeo and Snov.io compare in user reviews?

Prospeo holds 4.7 / 5 across 1,000 reviews on G2 and Capterra; Snov.io holds 4.5 / 5 across 736 reviews on G2, Capterra and Product Hunt. Ratings belong to their platforms and play no part in the benchmark grades.

How can you get data out of Prospeo and Snov.io?

Prospeo offers an MCP server, an API, CSV export, batch endpoints and native integrations; Snov.io offers an MCP server, an API, CSV export, batch endpoints, webhooks and native integrations. Both offer an MCP server, an API, CSV export, batch endpoints and native integrations.