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Marketing automation: guides & tutorials
Marketing automation uses Apify scrapers to refresh leads and pricing—sync CRM rows and ad audiences from daily datasets instead of week-old CSV reimports.
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Marketing automation uses scrapers to refresh leads and pricing, then sync CRM rows and ad audiences from daily datasets instead of week-old CSV reimports. These guides cover wiring scraping into marketing ops.
Automating the data refresh keeps audiences and enrichment current without manual exports. Apify feeds the pipeline on a schedule. Below you will find tutorials for automated marketing data flows.

TL;DR
- One
docker-compose.yml: Plausible + Formbricks + Mautic + PostgreSQL 16 + ClickHouse + MariaDB 10.11 + Redis + Caddy
- Measured idle RAM: ~2.3 GB; peak: ~3.5 GB (500 Plausible events/min + 50 active surveys + Mautic sending a 2k campaign)
- Minimum Liquid Web tier: 8 GB Managed VPS (~$30–$40/mo)
- GA4 (free) + Typeform ($50/mo) + ActiveCampaign ($49/mo) = $99/mo; this stack: ~$30/mo on your own server
Most SaaS teams have three separate tools that should talk to each other but don't: an analytics platform, a user feedback tool, and an email automation platform. The data lives in three silos. You see a traffic spike in GA4, you have NPS responses in Typeform, and you have email segments in ActiveCampaign — but you can't close the loop automatically. This stack connects all three: Plausible fires a goal event when a user reaches a key page, Formbricks uses that signal to trigger an NPS survey, and a Formbricks webhook pushes the response straight into Mautic where a campaign branches on score.