The marketing automation space is full of expensive platforms that promise everything and deliver dashboards nobody looks at. HubSpot starts at $800/month. Salesforce Marketing Cloud starts at $1,250. Marketo requires a custom quote that's never under $1,000.
For most businesses under $100K/month in revenue, this is absurd. You don't need enterprise marketing automation. You need four or five workflows that run reliably and save your team 15+ hours a month. You can build that for under $200.
The actual tools we use, the specific workflows we've built for clients, and the precise monthly cost. Not theory. Not "here are 20 tools to consider." The exact stack, right now, from real accounts.
the stack
Make is the backbone. It connects everything — your ad platforms, CRM, Google Sheets, Slack, email, webhooks. The visual builder makes complex workflows manageable. The Core plan (10,000 operations/month) covers most small-to-mid clients. We rarely need to go above the Pro plan.
Google Sheets is genuinely underrated as a data store for automation. It's free, accessible to any stakeholder, connects to Make trivially, and is flexible enough for 90% of the data pipeline needs we encounter. We use it as a lightweight CRM, a reporting buffer, and an ops dashboard for client-facing data.
Free, connects to Google Ads, Meta, GA4, Google Sheets natively. We've built dashboards that pull from all channels into a single view — with filters by date, campaign, channel, and client-specific dimensions. No more Monday morning CSV exports.
We pipe all automated alerts into Slack channels — budget pacing anomalies, lead quality drops, campaign status changes. When something breaks or spikes, someone sees it within minutes instead of finding out in the weekly report.
For more complex workflows — especially anything involving LLM calls, custom API integrations, or workflows that need to run frequently — we use n8n on a $10/month VPS. Self-hosted means no per-operation charges. We use it for our AI audit engines and anything that runs more than hourly.
Server-side GTM is technically a tracking tool, but it's also an automation layer — it lets us route, transform, and enrich conversion data before it hits ad platforms. A small VPS for the GTM server container costs $10/month and dramatically improves data quality for all downstream tools.
// total monthly cost for the full stack
That's it. Under $80/month for a stack that covers reporting automation, lead routing, anomaly alerts, server-side tracking, and custom AI workflows.
the 5 workflows that deliver the most value
Having the tools is one thing. Here are the specific workflows we build first for every new client:
the order to build them
Don't try to build all five at once. Here's the order that delivers value fastest:
- Budget pacing alert first — takes 2 hours, saves you from overspend disasters within the first week
- Weekly report second — 4 hours, eliminates Monday morning manual exports immediately
- Lead routing third — most complex, but critical for quality tracking; 6–8 hours including CRM integration
- Offline conversion import fourth — builds on the lead routing pipeline, requires the CRM work to be done first
- Anomaly detection last — nice to have, builds on the data you've already collected in weeks 1–4
Across 5 client accounts, this stack saves an estimated 14–18 hours of manual work per month per account — mostly in reporting, lead management, and performance monitoring. At an average team hourly cost of $30, that's $420–$540/month in recovered time per client, at a stack cost of under $80/month.
If you want help auditing your current automation setup or building these workflows for your team, that's exactly what our free audit covers. Get it here.