If you are comparing lead generation database companies, run the same representative list through every provider and score the records that survive independent verification. Do not choose from database size, a vendor accuracy claim, or the cheapest credit. The useful number is cost per usable email or mobile number for your own market.
We tested 600 of the same leads across eight providers on the same day. Every returned email was checked by a third party. Prospeo produced the highest combined score in this test, while Apollo found slightly more valid emails. The result is useful because the scorecard keeps coverage, deliverability, mobile coverage and price separate.
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“Most data provider benchmarks are bullshit. So we tested 600 leads on 8 tools and verified every email ourselves.”
How We Tested Lead Generation Database Companies
The sample stayed fixed. Apollo, Prospeo, Seamless, RocketReach, Lusha, LeadMagic, Hunter and Icypeas all received the same 600 leads. That controls the biggest source of noise in provider comparisons: one vendor getting easy US technology contacts while another gets harder records from smaller companies or different regions.
Timing stayed fixed too. Contact data decays as people change jobs and companies update domains, so tests run months apart compare two different realities. Running every lookup on the same day makes the result a cleaner snapshot. It still does not turn one sample into a permanent universal ranking.
The verification rule was independent of the provider label. A returned email counted as deliverable only when the provider had declared it valid and BounceBan confirmed it. Catch-all and guessed addresses did not enter the verified count. This matters because a high finding rate can hide records that create bounces once a campaign starts.
The Four Numbers That Decide the Winner
Start with verified coverage: how many of the 600 leads came back with an email that survived the outside check? Apollo led this measure with 408 verified emails, or 68 percent. Prospeo returned 394, or 66 percent. Seamless returned 387, RocketReach 377, Lusha 339, LeadMagic 261, Hunter 236 and Icypeas 163.
Then inspect deliverability inside each provider's valid bucket. Prospeo had 394 independently confirmed emails from 395 it had marked valid. Apollo had 408 from 432, which is 94 percent. Seamless, LeadMagic and Hunter each reached 99 percent, but their coverage differed. One percentage cannot describe both precision and reach.
Dead emails expose the practical cost of trusting a label. Prospeo shipped one address marked valid that failed the independent check. Apollo shipped 24, RocketReach 63 and Lusha 49. Seamless shipped four; LeadMagic, Hunter and Icypeas shipped three each. Those failures matter before copy quality because a message cannot persuade an address that does not work.
Mobile coverage was tested on the same 50 leads where a comparable phone check was available. Prospeo found 35 mobile numbers, or 70 percent. Apollo found 34, Lusha 33, Seamless 31 and LeadMagic 19. RocketReach, Hunter and Icypeas did not provide a comparable result in this scorecard, so they remain unranked on this measure.
Compare Cost per Usable Record
List price per 1,000 emails ranged from $5 for Prospeo to $175 for Seamless at the annual spend level used in the benchmark. Icypeas was $7, Hunter $8, LeadMagic $9, Apollo $14, RocketReach $75 and Lusha $78. These figures are benchmark inputs dated August 3, 2026. Current public plans may differ.
Price per lookup is still incomplete. Multiply the price by the records you need, then divide by the emails that pass verification. Add the operational cost of running a second provider on misses, repairing fields, removing duplicates and suppressing dead addresses. Cheap credits can produce an expensive campaign-ready file.
This is where the existing Growth Cab guide to |/b2b-data-enrichment-tools|B2B data enrichment tools| picks up. It explains how to enrich only the rows a team will actually work. The benchmark here answers a different question: which provider gives those selected rows the strongest mix of reach, precision and cost?
Build a Benchmark Your ICP Cannot Game
Take a representative slice of your next real campaign. Include common titles and difficult ones, large accounts and small companies, strong geographies and weaker markets. Preserve the same source fields for every vendor. A sample designed around one provider's strengths will produce a tidy ranking that fails as soon as the live list changes.
Define acceptance before looking at results. For email, record found, provider status, independent status, catch-all treatment and duplicate handling. For phone, separate direct mobile numbers from switchboards and stale lines. For company data, compare field-level accuracy instead of rewarding a row simply because it contains many populated columns.
Keep coverage and precision on separate axes. A provider that finds 70 percent with many invalid records may suit a waterfall position differently from one that finds 40 percent with almost no bad results. Your channel decides the trade-off. High-volume email protects sender reputation; founder-led account work may value a hard-to-find direct dial more.
Finish with cost per accepted record and time to campaign readiness. Record how many manual corrections each file needs, how long deduplication takes and what percentage reaches the sequencer without repair. That turns a vendor comparison into an operating decision instead of a screenshot of eight feature pages.
Where This Benchmark Does Not Apply
One 600-lead test cannot crown a universal winner. Coverage can change by country, company size, seniority, industry and the age of the source profile. Provider databases and pricing also change. The ranking describes this sample on this date under this verification rule. Run the method again with your own ICP before signing a large contract.
The global score in the source sheet combines coverage at 40 percent, deliverability at 30 percent, price at 15 percent, mobile at 15 percent and a fixed pre-scoring rule applied to every tool. Prospeo scored 98.8, Apollo 88.1 and Seamless 81.1. Change the weights and the order can change, which is exactly why the raw measures should remain visible.
Mobile results require extra caution because the comparable sample was 50 leads rather than 600, and three providers had no result in that row. Treat 70 percent versus 68 percent as directional evidence from this batch. It is not a statistically complete claim about every market or a guarantee that a number will connect.
The Buying Rule I Would Use
Shortlist two or three lead generation database companies, run a blind test on your next representative batch, verify the outputs independently and keep the raw failures. Choose the provider with the lowest cost per record your team can actually use. Retest a smaller sample every quarter so database decay or a product change does not become invisible.
For this benchmark, Prospeo won the weighted score and four of the measured categories. Apollo found the most independently verified emails. That is a more useful conclusion than claiming one database is best for everyone. The winner for your pipeline is the one that survives your list, your verifier, your channel and your economics.
Disclosure: Prospeo sponsored the source benchmark and Federico partners with the company. The eight providers received the same leads, the same verification rule and the same scoring formula. The raw counts, weighting and limitations are included so readers can disagree with the conclusion or rerun the method. Every Thursday, AI Frontier shares one practical AI and go to market play in under five minutes.
