AX/V/04 · Marketing & Sales
Automation for marketing and sales.
Lead intel, ICP scoring, hiring signals, funding signals, intent data. Pipelines that feed the CRM instead of asking sales to manually research LinkedIn at 11 PM.
AX/01 — Typical problems
- 01SDR manually researches 8-12 companies daily — 3h work = 8 quality leads
- 02CRM contains 5000 leads of which 80% are "cold dead" — you do not distinguish active from dead leads
- 03Buying signals (hiring CTO, new funding, expansion to new country) — how to catch them?
- 04Lead enrichment via SaaS = $300-1000/month without control over data quality
- 05Outreach personalisation at scale without "name + industry + city" template
AX/02 — What we build for them
- Lead enrichment pipeline (firmographics + technographic + role data, aggregation from 8+ sources)
- ICP scoring (rules + ML, mapping to your sweet spot)
- Hiring signal detection (new roles on LinkedIn / company careers page = expansion signal)
- Funding tracker (Crunchbase / PitchBook / EU EIC) with alerts for relevant rounds
- Re-engagement: old CRM data → re-enrichment, dead-lead detection
- Personalisation context generator (for each lead: 3-5 sentences of context for email outreach)
AX/03 — Related projects
OPS-24-A4
9.4×
pipeline
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.
OPS-26-F2
+€4.1M
pipeline contribution
Social presence orchestration for a global B2B across 12 markets
LinkedIn-first orchestration plus local platforms per market. 12 countries, 80+ accounts, localised content. Measurable pipeline contribution.
OPS-26-I5
8×
faster deal sourcing
Market intelligence platform for proptech B2B
11 real estate portals across 6 EU countries, 800k active listings monitored daily, cross-portal dedup, AVM. SaaS platform.
AX/04 — Industry FAQ
01Will you replace Apollo / ZoomInfo / Cognism?
A custom pipeline can be cheaper at scale (>1000 leads/month enrichment) and gives full control over data quality. SaaS is better for low-volume and out-of-box ICP. Hybrid stack often optimal.
02Where do data sources come from?
LinkedIn (public business pages), company websites, gov registries (Companies House, BvD), news/press, GitHub (technographic), job boards. All public business data.
03GDPR and B2B lead data?
B2B contact data from public business contexts (company "Contact" page, role-specific emails) → Art. 6(1)(f) legitimate interest. From personal social profiles → NO, different category. See our guide.
04How to avoid CRM duplicates?
Deduplication by domain + (LinkedIn slug || email hash). Conditional merge logic — do not overwrite manual edits from CRM (e.g. after first contact).
05How much does it cost?
Setup €4-15k (depends on source count), retainer €600-3000/month. Vs Apollo Enterprise ($1k+/month/user × 5 users = $60k/year) — custom usually ~50% cheaper over a 12-month horizon at similar quality.
Hitting a similar problem?
Most of these techniques we ship to production.
If this article resonates with something you are trying to solve — write. Initial project assessment is free.