Fluxaro Software GmbH
Leadradar: How Swiss Sales Teams Use Buying Signals from SHAB and Zefix
Produkte 4 min read Published on 10. May 2026

Leadradar: How Swiss Sales Teams Use Buying Signals from SHAB and Zefix

F

Florian Grbic

Fluxaro Software GmbH

A typical day for a Swiss B2B sales team: a bit of Zefix research, some LinkedIn clicking, an Excel sheet from last year's intern — and at the end of it, a handful of half-qualified contacts. Meanwhile, the truly relevant signals are systematically missed.

Those signals are public, every day, in the Swiss commercial register: Who just incorporated? Who increased their capital? Who has a new managing director? Who relocated?

That's the idea behind Leadradar.

The problem: searching the commercial register means searching too late

The Swiss commercial register (SHAB and Zefix) is a goldmine — but only if you query it proactively. The three classic ways of finding B2B leads all fail at the same point:

  • Manual SHAB/Zefix research: Data is current, but there's no filter for industry or ideal customer profile. Hours of scrolling, half forgotten by the end.
  • Generic B2B databases (Moneyhouse, Bisnode): They give you static data — not changes. You know a company exists, but not why now is the right moment to call.
  • Enterprise data platforms: High quality, but five-figure annual fees and complex setup — disproportionate for most SMEs.
The result: sales teams react instead of acting. They call when the prospect is already in the buying process — and three competitors got there first.

What Leadradar does differently

Leadradar flips the script: instead of searching a database reactively, a pre-qualified list arrives every morning — filtered to your ideal customer profile, scored, prioritized.

Step 1 — Define your ideal customer profile

You configure up to 8 target segments once: industry, canton, legal form, minimum capital, exclusions. That's the only setup work.

Step 2 — Nightly scanning

Every night, Leadradar scans SHAB and Zefix for eight curated buying signals (curated from 41 possible mutation types in total, each signal individually toggleable):

  1. New incorporations — new companies need suppliers, IT, insurance, banking
  2. Capital increases — a clear growth signal, often followed by new investments
  3. Leadership changes — a new CEO or CFO means new strategy and new vendor choices
  4. Business purpose changes — the company is changing its model, looking for new products and partners
  5. Legal form changes — e.g. sole proprietorship to LLC/AG, often a scaling indicator
  6. Mergers and demergers — structural changes that create new supplier relationships
  7. Registered office / address changes — relocation comes with new local providers, leases, fit-outs
  8. New branch offices — a clear expansion signal with local demand for IT, fit-out, and advisory

Step 3 — AI score 0–100 with explanation

Each match is enriched with website and business purpose data and automatically scored. You see not just the number but why — e.g. "Score 87: industry match (consulting), region match (Zurich), new CEO with IT background, website shows active growth phase."

Auto-assignment to the right salesperson, CSV export or API push into your CRM, done.

3 real-world use cases

Use case 1 — IT services firm targets new incorporations

A Swiss managed-service provider targets SME incorporations with 5–50 planned employees in the Zurich/Zug region. Filter: "incorporation in last 14 days" + "GmbH/AG" + "minimum capital CHF 50,000". Result: ~12 pre-qualified leads per week, with 30–40 % converting to first meetings.

Use case 2 — fiduciary boutique reacts to capital increases

A trust office targets capital increases above CHF 500,000 in the Bern area. Reasoning: companies raising capital typically have more complex accounting and tax needs. First-meeting conversion: ~25 %.

Use case 3 — sales coach pursues new CEOs

A sales trainer systematically contacts newly registered managing directors at B2B companies with 20–200 employees. Pitch: "You're taking over a sales team — I help during the first 90 days." Conversion to paid first analysis: ~15 %.

Why not just use Moneyhouse?

Moneyhouse, Bisnode and similar tools show static data. You see that a company exists. But you don't see that yesterday something happened that should make you pick up the phone. Leadradar delivers exactly that: what changed — and only if it matches your profile.

Bottom line: sell when the signal is fresh

B2B sales reward whoever arrives first at the relevant trigger. A capital increase is discussed in the first 14 days — after that, contracts are signed. A new CEO makes vendor decisions in the first 90 days. Leadradar brings these triggers automatically, filtered, to your desk.


Request a demo? Open Leadradar directly or no-obligation consultation.

More on our products: All Fluxaro products.

leadradar buying signals b2b sales shab zefix commercial register switzerland

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