Make

Overview

Make is a visual workflow builder for SaaS operators who've outgrown simple integrations. You connect tools (Slack, Airtable, Stripe, HubSpot, 500+ others) and build multi-step scenarios with conditional branches, loops, and data transformation—no code required. Who uses it: ops leads automating reporting pipelines, customer success teams triggering bulk actions, finance teams syncing data across systems with approval gates. The core job: take a manual, repetitive process that touches 3+ tools and make it run on schedule or webhook trigger. Concrete operator scenarios: 1. Multi-branch customer onboarding: When a new Stripe customer signs up, check their plan tier in Airtable. If Enterprise, create a Slack channel, add them to a Salesforce campaign, and send a welcome email from your CRM. If Starter, just log the signup. Make's conditional branching handles this without writing code. 2. Ops reporting glue: Pull data from Stripe (MRR, churn), Mixpanel (engagement), and your support tool (ticket volume). Transform and merge it into a single Google Sheet every Monday morning. Add a Slack notification when churn spikes above threshold. 3. Data cleanup and sync: Normalize phone numbers from web forms, deduplicate leads in your CRM, sync enriched contact data back to your email tool. Make's built-in text and array functions handle most transformations; complex logic gets routed to a webhook for custom code. Pricing reality: Make uses a credit system (operations, data transfers, and execution time consume credits). Free tier exists but is tight for real workflows. Paid plans start around $10–15/month for light use; operators running 10+ active scenarios typically land in the $50–200/month range. Pricing changes—check the vendor for current tiers. Why operators choose Make over Zapier: Make's visual builder shows branching and loops more clearly. Conditional logic is easier to read and modify. You're not fighting a linear "if this, then that" model. The tradeoff: Make's UI has a steeper learning curve, and error handling is less forgiving than Zapier's. Why operators choose Make over custom code: No dev hire, no maintenance debt, no deploy risk. Changes live in minutes. The tradeoff: very complex logic (machine learning, heavy data processing) still needs a backend; Make is the glue, not the engine. Honest limits: Make can timeout on slow API calls (30-second limit per operation). Large data transformations (100k+ rows) are painful. Debugging failed runs requires reading logs, not stepping through code. Error recovery is manual—you catch failures in the activity log and re-run. No native version control; teams sharing workflows need discipline.