benchmarks/lookalikes/closed-won lookalike play
lookalike benchmark · play

How to build a closed-won lookalike play

A closed-won lookalike play turns the customers you've already won into a fresh target list — companies that look just like them. You take your won accounts as the seed, use a lookalike / similar-companies tool to pull companies that resemble them, and work that list through outbound and ABM. Whether it pays off comes down to one thing: how closely the tool's results actually match your winners. This is an independent benchmark of company lookalike / similar-companies APIs — Ocean.io, Exa, Parallel, Seltz, PredictLeads, Extruct, CUFinder, Discolike, and ZoomInfo — ranked on how relevant the companies each one returns actually are, across 48 B2B seed companies.

Benchmark evidence and per-seed audit trail

Same seed companies, same judge panel, Precision@10 and Precision@100 where each endpoint supports that depth — plus the per-seed matrix so you can inspect how each vendor behaved on each company.

long listPrecision@100: how relevant a vendor stays a hundred companies deep. The metric for lists that feed automated sequences. 3 vendors cannot appear here: their endpoint returns fewer than 100 results.
Long-list lookalike quality: aggregate Precision@100 by company lookalike API vendor
RankVendorPrecision@100Avg latencyRelevant / $1 at 100
1Seltz63.4%4,835 ms12,683
2Extruct61.1%2,361 ms624
3Ocean.io59.5%2,444 ms37
4Parallel56.9%2,680 ms11,383
5Exa48.6%3,014 ms501
6Discolike34.6%1,164 ms66
short listPrecision@10: how relevant the top of the list is. The metric that matters when a person works the results by hand and only the first few rows get touched. Every measured vendor appears here, and the only question asked of them is whether the companies are right.
Short-list lookalike quality: aggregate Precision@10 by company lookalike API vendor
RankVendorPrecision@10
1PredictLeads89.8%
2Seltz84.4%
3Exa80.8%
4Extruct75.0%
5Ocean.io74.3%
6Parallel69.2%
7ZoomInfo67.1%
8Discolike41.9%
9CUFinder38.9%
benchmarks/lookalike/lookalike-2026-q348 examples · 9 vendors
audit viewcell = Precision@100; the small label shows P@10N/Avendor not yet run (or returned fewer than K results)click any scored cell to view the companies that vendor returned
#Company typeOcean.ioExaParallelSeltzPredictLeadsExtructCUFinderDiscolikeZoomInfo
01Cloud observability and monitoring platforms that offer any of application performance monitoring, log management, security monitoring, or synthetic monitoringDevtoolsseed exampleDatadogdatadoghq.com
02Restaurant point-of-sale platforms that offer any of payments, online ordering, payroll, or inventory managementHospitalityseed exampleToasttoasttab.com
03Plumbing and drain services companies that offer any of plumbing, drain cleaning, water cleanup, or home servicesHome Services SaaS / Chainsseed exampleRoto-Rooterrotorooter.com
04Construction management software that offer any of project management, financials, quality, safety, or contractorsB2B SaaSseed exampleProcoreprocore.com
05On-demand consumer super-apps that offer any of ride-hailing, delivery, payments, financial services, or merchant servicesLogisticsseed exampleGrabgrab.com

Full routing by workflow, latency, cost, and methodology: the lookalike benchmark →

The three moves

  1. Start with your winners.Pull your closed-won accounts from your CRM — they're the seed, your evidence of what a good-fit customer looks like.
  2. Find their lookalikes. Feed the seeds to a lookalike tool and it returns companies that resemble them, ranked by similarity.
  3. Work the list. Route those companies into outbound or ABM and lead with the closest matches.

The first and last moves are your usual motion. The middle one — the tool — is where results swing the most, so choose it from the measured evidence above rather than a demo.