How to build a Swiss B2B target-account list

A useful Swiss B2B prospect list gives your sales team a reason to research each company. Start with the offer you sell and define which businesses could use it. Estimate the size of that market, collect candidates, then check the evidence before handing accounts to sales.

For a concrete example, take a seller of quality-management and production-planning software for manufacturers. Prospex used that sales brief to build a Swiss precision-manufacturing market. The example and review decisions below come from the snapshot of 12 August 2026. They describe the evidence available then; company details need a fresh check before outreach.

1. Turn the sales brief into an ideal customer profile

The brief called for Swiss manufacturers of machinery, precision components, and medical or measurement instruments that produce in Switzerland and sell to other businesses. It covered the whole country, with size filters of 11–50 and 51–500 employees and customer audiences classified as B2B or mixed.

The seller’s software makes production processes relevant to the search. A distributor can sell the same instruments while having a different operating need. Write down the activity you need to verify, and keep your own offer separate from the description of the companies you want to reach.

A worksheet for this brief

CriterionInclude or excludeEvidence to record
Operating activityInclude manufacturers of the specified products. Exclude businesses whose relevant activity is distribution or laboratory services.Company pages describing products and manufacturing work.
Production locationRequire production in Switzerland; the brief allows every canton.A named Swiss production site. Record the registered office separately.
CustomersInclude B2B and mixed audiences with a relevant business-customer activity.Customer sectors, applications or named business references.
SizeTarget the selected 11–50 and 51–500 employee bands.Source, date and whether the band is estimated. Keep missing evidence unresolved.
Account identityReview the operating entity that could buy the software. Exclude your own competitors.Legal name and UID, with the website and group relationship checked.

Copy these criteria into your working sheet and adapt them to your offer. Add a language-coverage field: a national brief requires research across language regions and a plan for serving the accounts you select. The example had no cantonal restriction; a regional sales team should state its territory explicitly.

Use separate columns for a sourced fact, an estimate and a missing detail. For example, a production-site page can support location, while an estimated employee band remains an estimate. If a size limit is essential to your offer, hold the account for research until the evidence is sufficient.

2. Estimate the market before setting a list target

Build a candidate pool with the criteria your sources can support. Record the population covered and the date of the search. Review a random sample against the full brief, keeping confirmed fits and unresolved cases separate. This gives you a basis for an estimate and shows which criteria require further research.

The Swiss target-market sizing guide works through a register-based estimate and the limits of each filter. Apply that method to the manufacturing brief before deciding how many accounts the team can realistically work.

In the reviewed product snapshot, 499 companies remained in Core after one exclusion, and 500 were in Explore. These counts describe candidates within that particular build; they do not measure the total number of Swiss manufacturers that meet the brief. Estimating the whole market requires a separately defined population and a reviewed sample.

3. Discover companies from the same brief

Use the written profile to search company websites and relevant industry directories. Search for the specific products and production activities in the languages of your target regions. Keep the source beside each candidate so that a colleague can retrace the match.

For this brief, a page about manufacturing measurement instruments is useful evidence. A page selling imported instruments needs a further check for local production. Record candidates under the same criteria even when they arrive from different sources, and use the UID to identify repeated legal entities.

The published Prospex example was built from its description and filters, with no example customers added. When you already have customers who bought for a shared reason, you can also use them to sharpen discovery. The guide to finding similar Swiss companies explains how to choose a coherent seed group and test the results.

Keep companies with several activities under review when one activity fits. For a group website, check which legal entity operates the relevant production site. Shared branding alone leaves the buying account unresolved.

4. Review fit and missing evidence

Review candidates against the worksheet before assigning them to sales. Use explicit decisions: keep, exclude or research further. Save the supporting source and review date with the reason. A company can fit the activity criterion while still needing a size check.

The review on 12 August 2026 recorded the following cases. The next actions apply the sales brief to that historical evidence; they are research instructions for a fresh list.

CompanyHistorical reviewNext action
Reiden Technik AGKept: machining-centre production matched the activity.Recheck the production site and size evidence, then research the buying process.
Arthrex Swiss AGExcluded for wrong activity: the review identified distribution in Switzerland.Keep the exclusion reason; reconsider if evidence of qualifying production appears.
BG Concept SàrlKept for micromechanical parts; size was unknown in the public sample.Research size before accepting the account under a strict employee constraint.
X.NOV MEDICAL TECHNOLOGY SAKept in the market but omitted from the public sample: its description referred to the French parent group.Find evidence specific to the Swiss entity before using the description.

The same review checked a random sample of ten remaining Core companies and found three misses and one borderline case. That small historical sample is a reason to review the output. It does not establish a current product-wide accuracy rate.

Inspect both highly ranked companies and those near your planned cutoff. Add a random sample to look beyond the first results. When several errors share a cause, such as dealers matching a manufacturing brief, refine the criteria and review the affected candidates again. Keep known suitable companies aside to check for omissions, and investigate whether language coverage or missing sources explain them.

Use the prospect-list review checklist for more annotated decisions and a worksheet for your own review.

5. Hand over a list that another person can use

Keep unresolved accounts in a research queue. For each account you hand to sales, retain enough evidence for the next person to understand the decision:

  • Legal name, UID, website and relevant operating location.
  • Fit reason tied to the brief, with source URLs and the date checked.
  • Estimated fields and outstanding questions, including size or group ownership.
  • Account owner and next action, with existing CRM relationships checked.

A verified manufacturing activity supports account selection. It does not prove that a company wants new software. Research the responsible team and its current situation before preparing a relevant approach. Keep the account-selection decision separate from a sales opportunity.

For recruitment, the operating need and the buyer change. Use the Swiss recruitment-agency client-acquisition guide to apply the process to employer accounts.

Use the brief in Market Builder

See the reviewed manufacturing example in Market Builder, including its filters and dated company sample. Use your own offer to write a brief, then review the reasons behind the returned candidates with the worksheet above.

Source: Prospex’s Swiss precision-manufacturing market and manual review, captured on 12 August 2026. The public example is a selected, reviewed sample. The exclusions and unresolved cases discussed here come from the wider review on that date.

Written by

Semion Sidorenko

Semion Sidorenko is the Founder and CEO of Prospex. From data engineering to machine learning research, he spent 15 years helping companies scale up data platforms. Before founding Prospex, he worked as an ML engineer at EPFL and as an independent data engineering consultant for Swiss companies.

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