What is a closed-won lookalike play?

Turning the accounts you've already won into a fresh target list: you take your won customers as the seed, use a lookalike / similar-companies tool to find companies that resemble them, and work that list through outbound and ABM. It pays off to the degree the returned companies actually match your winners.

Which lookalike tool is best for a closed-won play?

It depends on how you'll work the list. For a tight shortlist, PredictLeads returns the sharpest top-of-list matches (Precision@10 89.8%). For a large ABM list, Extruct keeps relevance highest across the full 100 (Precision@100 61.1%).

How many lookalike companies should I target?

As many as stay relevant. Relevance drops the deeper you go: a hand-worked shortlist leans on the sharpest first results (PredictLeads), while a large ABM list needs relevance to hold across the full 100 (Extruct holds it highest). Compare Precision@10 and Precision@100 in the evidence below.

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 — Exa, Ocean.io, Parallel, PredictLeads, Extruct, CUFinder, and Discolike — ranked on how relevant the companies each one returns actually are, across 48 B2B seed companies.

[01] evidence

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
Rank	Vendor	Precision@100	Avg latency	Relevant / $1 at 100
1	Extruct	61.1%	2,361 ms	624
2	Ocean.io	59.5%	2,444 ms	37
3	Parallel	56.9%	2,680 ms	11,383
4	Exa	48.6%	3,014 ms	501
5	Discolike	34.6%	1,164 ms	66

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
Rank	Vendor	Precision@10
1	PredictLeads	89.8%
2	Exa	80.8%
3	Extruct	75.0%
4	Ocean.io	74.3%
5	Parallel	69.2%
6	ZoomInfo	67.1%
7	Discolike	41.9%
8	CUFinder	38.9%

benchmarks/lookalike/lookalike-2026-q348 examples · 8 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 type	Discolike
01	Corporate spend management platforms for companies that offer any of corporate cards, expense management, travel booking, or bill payFintechseed exampleBrexbrex.com
02	Cloud observability and monitoring platforms that offer any of application performance monitoring, log management, security monitoring, or synthetic monitoringDevtoolsseed exampleDatadogdatadoghq.com
03	Global logistics and transportation companies that offer any of parcel delivery, freight, shipping, or supply-chain servicesLogisticsseed exampleFedExfedex.com	N/A
04	Global hospitality companies that offer any of hotel, lodging, travel, or guest loyaltyHospitalityseed exampleMarriottmarriott.com
05	Commercial real estate services and investment firms that offer any of property leasing, facilities, valuation, or asset managementReal Estateseed exampleCBREcbre.com

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

[02] how it works

The three moves

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.
Find their lookalikes. Feed the seeds to a lookalike tool and it returns companies that resemble them, ranked by similarity.
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.