Outbound · Swiss-first · Snowflake-native
Proxar connects SwissDataAtlas, Snowflake, Snov.io and your CRM into one pipeline — from finding the right Swiss companies to landing in the inbox and handling every reply.
Built by bi concepts GmbH · Swiss Snowflake & dbt partner
// Live pipeline
The problem
Apollo's 275M contact database sounds impressive until you search for CFOs in Zurich and get 60% email bounce rates. Swiss company data isn't a US tool's priority.
How Proxar handles it
Proxar is built on SwissDataAtlas — 700,000+ verified Swiss companies with NOGA classification, UID numbers, and estimated headcount. Your ICP isn't a filter — it's a first-class object.
Clay for enrichment. Instantly for sending. A separate warm-up tool. Snov.io for LinkedIn. Your CRM for everything else. A spreadsheet to hold it together.
How Proxar handles it
Each tool does its job. None of them talk to the others without you building the plumbing yourself. Every quarter, something breaks.
“Hi {{first_name}}” works in English. “Sehr geehrter Herr Müller” and “Sehr geehrte Frau Müller” are not the same email — and getting it wrong signals mass automation immediately.
How Proxar handles it
Proxar splits campaigns by gender automatically, applies the correct salutation, and routes unknown names to a neutral fallback.
How it works
Email inboxes and LinkedIn accounts warm up automatically and adapt to campaign load. One health score per channel, always.
Define an ICP against 700k+ Swiss companies. Find lookalikes from your best clients. Cross-reference your CRM to exclude customers and open pipeline.
Clean, enrich and classify your Snov.io prospect data in plain language — Snowflake Cortex Code generates the SQL, you approve it.
Extract contacts, validate emails, detect genders, check cross-campaign suppression. One list, ready to launch.
Gender-split multichannel sequences with spintax and A/B testing. Launch in Snov.io via API — never leave Proxar.
Every reply classified by AI — interested, OOO, not now, referral. Warm leads to your CRM with one click.
Comparison
Most tools do one thing well. Proxar does all of them — without requiring you to become a GTM engineer.
| Feature | Proxar | Apollo | Clay + Instantly | Lemlist | Smartlead |
|---|---|---|---|---|---|
| Swiss / EU company data | |||||
| Data lives in your warehouse | Partial | ||||
| German salutation handling | |||||
| AI data cleaning (Cortex Code) | |||||
| Email + LinkedIn in one sequence | Email only | ||||
| LinkedIn Sales Nav search | |||||
| Inbox warm-up built in | |||||
| CRM reconciliation | Per product line | Basic | Basic | ||
| A/B testing | 15 variants | ||||
| AI reply classification | |||||
| OOO auto-reschedule | |||||
| EU data hosting | Mixed |
For technical buyers
Every other outbound tool is a black box. You see aggregate open rates in their dashboard. You cannot query the raw data. You cannot join it to your CRM pipeline. You cannot train a lookalike model on your closed-won deals.
Proxar is built on Snowflake from the ground up. Every prospect, send event, reply, suppression decision — all of it lands in your Snowflake account, in structured MART tables, queryable with standard SQL.
-- Which campaign generated the most CRM-qualified pipeline this quarter?
SELECT campaign_name, product_line, COUNT(*) AS crm_handoffs
FROM MART.OUTBOUND_CAMPAIGN_ATTRIBUTION
WHERE crm_handoff_date >= DATEADD('quarter', -1, CURRENT_DATE())
GROUP BY 1, 2
ORDER BY 3 DESC;
-- Which industries have the highest reply rate across all campaigns?
SELECT p.industry_de, AVG(reply_rate) AS avg_reply_rate
FROM MART.CAMPAIGN_SEND_EVENTS s
JOIN PSA.PROSPECT_PROFILES_CURRENT p USING (prospect_id)
GROUP BY 1 ORDER BY 2 DESC;
-- Who is returning from OOO this week?
SELECT first_name, last_name, company, ooo_return_date, campaign_name
FROM MART.CAMPAIGN_REPLY_EVENTS
WHERE reply_classification = 'out_of_office'
AND ooo_return_date BETWEEN CURRENT_DATE() AND DATEADD('day', 7, CURRENT_DATE());FAQ
Join the waiting list for early access. We'll reach out as Proxar opens up to new tenants.