Continuous lead intelligence system for a B2B SaaS sales team
Daily multi-source enrichment of 40k+ accounts, intent signals, decision-maker mapping. Hands-off since Q2 2024.
LinkedIn-first orchestration plus local platforms per market. 12 countries, 80+ accounts, localised content. Measurable pipeline contribution.
A Series B B2B SaaS operated across 12 European countries (DACH, CEE, UK, Nordics). Each market had its own Country Manager, its own LinkedIn brand page, its own local employees publishing sporadically. Brand awareness in newer markets was drastically lower than in the core (DACH) — they wanted to build presence equivalent to DACH within 6–9 months without doubling marketing headcount.
The standard approach — an agency per market — cost €350–600k per year and was inconsistent. Every agency had a different brand voice, different cadence, different formats. ROI measurement was impossible.
They tried "central content + local translation" in 2024. It failed because local markets rejected content that was obviously translated from English. The German LinkedIn audience writes differently than the Polish, the UK, the Norwegian.
We designed a hybrid: central editorial planning (themes, narrative arcs, campaign moments) plus a per-market localisation layer (native-language content writer + cultural adaptation, not machine translation). An orchestration engine plans what the brand page publishes, what employees re-share, when, in what format.
Critical decisions: LinkedIn as primary channel across all 12 markets, but every market gets a local secondary (Xing in DE/AT, Polish LinkedIn has its own specifics, local business communities in Scandinavia). Employee advocacy: 60+ employee accounts (Country Managers + senior ICs) re-share content with personal commentary — not copy-paste, real value-add personal angle generated by a writer per persona.
Architecture: Temporal as scheduler (publication, engagement, monitoring), a Playwright pool with residential proxy per market geography, dedicated PostgreSQL for the multi-language content library, OpenAI for draft writers (then manual review by a native speaker), Slack integration for approval workflows.
Anti-detection: every employee account has a stable browser fingerprint per persona, residential IP matching its claimed location, posting patterns matching real work schedules (a German employee does not post at 23:00 Warsaw time). LinkedIn Sales Navigator licences for key employees to raise tolerated volume.
Brand visibility in newer markets (measured by share of voice in industry conversations + branded search volume) rose 3.4× in 8 months. Three new markets reached DACH-equivalent penetration in 7 months.
Pipeline contribution (measured via UTM attribution tracking + form-fill source tracking): +€4.1M in the first 12 months. Cost: ~€180k/year operationally (proxy, infra, retainer), plus 1 in-house orchestration manager at €85k. Net ROI = 14×.
Zero account suspensions or shadow-bans in 8 months of production. Three LinkedIn restriction events — all handled by automatic backoff + manual review, with no impact on operations.
Daily multi-source enrichment of 40k+ accounts, intent signals, decision-maker mapping. Hands-off since Q2 2024.
Resilient scraping with anti-bot routing, SKU normalization and 5-minute price-change webhooks into the client's repricing engine.
Goal-driven agent crawling filings, press, social and internal sources — producing structured analyst briefings every morning before 7 AM ET.
If you recognise pieces of this case study in your own situation — write. We usually see in the first call whether it is hours-per-week scale or months of infrastructure.