LearnTool Deep DivesMake.com Automation Guide: Complete Australian Business Tutorial
beginner
18 min read
15 January 2025

Make.com Automation Guide: Complete Australian Business Tutorial

Master Make.com for business automation. Learn to build powerful workflows connecting your apps, automate repetitive tasks, and scale operations without coding. Australian-focused guide with practical examples.

Clever Ops Team

Make.com (formerly Integromat) has become the automation platform of choice for Australian businesses seeking sophisticated workflows without the complexity of custom code. While Zapier dominates brand recognition, Make has quietly built a following among automation professionals who need more power, better visual design, and lower costs at scale.

This comprehensive guide takes you from Make.com basics through advanced scenarios. Whether you're automating invoice processing with Xero, building lead nurture sequences with HubSpot, or creating complex multi-step workflows, you'll learn practical techniques that Australian businesses use to save thousands of hours annually.

Key Takeaways

  • Make.com offers approximately 10x more operations than Zapier at equivalent price points, making it more cost-effective for volume
  • The visual scenario builder with routers and iterators handles complex branching logic that's difficult in linear tools
  • Native integrations with Australian business apps (Xero, ServiceM8, MYOB) make it practical for local businesses
  • AI integration via OpenAI module enables intelligent document processing, categorisation, and content generation
  • Operations pricing model rewards efficiency—design scenarios to minimise unnecessary module executions
  • Error handling and monitoring are crucial—build notifications and review execution history regularly
  • Start simple, document thoroughly, and maintain actively—sustainable automation requires ongoing attention

Why Make.com for Australian Business Automation

Make.com stands out in the automation platform landscape for several reasons that matter particularly to Australian SMBs and mid-market companies.

1500+

App integrations available

10x

More operations than Zapier at same price

$15 AUD

Starting price per month

Make vs Zapier: The Key Differences

Feature Make.com Zapier
Visual Builder Flowchart-style (more flexible) Linear list (simpler)
Pricing Model Operations-based Task-based
Free Tier 1,000 operations/month 100 tasks/month
Branching Logic Native, visual Paths (paid feature)
Error Handling Advanced, built-in Basic
Learning Curve Steeper initially Easier to start
Complex Workflows Excellent Can become unwieldy

Our Recommendation: Choose Zapier if you need simple, linear automations and prefer easier setup. Choose Make.com if you need complex workflows, better value at scale, or more sophisticated logic. Many Australian businesses start with Zapier and migrate to Make as their automation needs grow.

Australian App Integration Highlights

Make.com connects with the tools Australian businesses actually use:

Accounting

  • • Xero (excellent integration)
  • • MYOB
  • • QuickBooks
  • • Deputy

CRM & Sales

  • • HubSpot
  • • Salesforce
  • • Pipedrive
  • • ActiveCampaign

Trades & Services

  • • ServiceM8
  • • Tradify
  • • Jobber
  • • Fergus

Getting Started: Make.com Fundamentals

Before building your first automation, understand Make.com's core concepts. This foundation will help you think like an automation architect.

Key Terminology

Scenario

A complete automation workflow. Think of it as a recipe that runs automatically when triggered.

Module

A single action within a scenario—watching for new data, creating records, sending emails, etc.

Operation

One execution of a module. This is what Make counts for billing. A scenario with 5 modules running once = 5 operations.

Trigger

The first module in a scenario that starts the workflow—could be scheduled, instant (webhook), or watching for new records.

Router

A special module that splits your workflow into multiple paths based on conditions.

Iterator

Loops through arrays/lists, processing each item individually.

Your First Scenario: Step by Step

1

Create Account & Scenario

Sign up at make.com, click "Create a new scenario". You'll see a blank canvas with a large "+" button.

2

Add Trigger Module

Click the "+", search for your trigger app (e.g., Google Sheets), select a trigger action (e.g., "Watch Rows"). Connect your account.

3

Configure Trigger

Select your spreadsheet and sheet. Click "Run once" to test—Make will fetch sample data to work with.

4

Add Action Module

Click the small "+" after your trigger, search for your action app (e.g., Slack), select action (e.g., "Send Message").

5

Map Data

Click into fields and select data from your trigger (shown in a panel). This is "mapping"—connecting data between modules.

6

Test & Activate

Click "Run once" to test the full scenario. If successful, click the scheduling toggle and set your schedule.

Pro Tip: Always test with "Run once" before activating scheduled scenarios. This catches errors before they affect real data or spam your customers.

Advanced Make.com Techniques

Once you've mastered basics, these advanced techniques unlock Make.com's full potential.

Routers: Conditional Branching

Routers let you create multiple paths based on conditions. Essential for scenarios like:

  • Lead Routing: High-value leads go to senior rep, others to SDR team
  • Invoice Processing: Different approval workflows based on amount
  • Support Tickets: Route to different teams based on category

Router Filter Example:

Path 1 Filter: {{order.total}} > 1000

Path 2 Filter: {{order.total}} <= 1000

Path 3: Fallback (no filter) for exceptions

Iterators: Processing Arrays

When you receive data with multiple items (line items, contacts, rows), iterators process each one:

Example: Process Order Line Items

Order contains multiple products. Create inventory adjustment for each.

Shopify (Order) → Iterator (Line Items) → Inventory System (Adjust Stock)

Note: Each iteration counts as separate operations—plan accordingly.

Aggregators: Combining Results

Aggregators collect results from iterators or multiple branches back into single outputs:

  • Text Aggregator: Combine multiple items into a single message
  • Array Aggregator: Collect items back into an array
  • Numeric Aggregator: Sum, average, count across items

Error Handling

Make.com's error handling is more sophisticated than most competitors:

Error Routes

Add alternative paths when modules fail. Log errors, send alerts, or attempt recovery.

Break Directive

Stop scenario execution gracefully when conditions warrant.

Retry Logic

Automatically retry failed operations with configurable attempts and delays.

Incomplete Executions

Review and re-run failed executions without reprocessing successful items.

HTTP Module: Custom API Calls

When Make doesn't have a native integration, the HTTP module connects to any API:

HTTP Request Example:

Method: POST

URL: https://api.yourservice.com/endpoint

Headers: Authorization: Bearer {{connection.token}}

Body: {"data": "{{previous_module.output}}"}

Power User Tip: Create a custom app connection for APIs you use frequently. This stores authentication and makes modules reusable across scenarios.

AI Integration with Make.com

Make.com's AI integrations unlock powerful automation possibilities—from document processing to intelligent routing and content generation.

OpenAI Module Use Cases

Data Extraction

  • • Extract invoice details from emails
  • • Parse resumes for candidate info
  • • Pull key points from meeting transcripts
  • • Categorise support tickets

Content Generation

  • • Draft email responses
  • • Generate product descriptions
  • • Create social media posts
  • • Write personalised follow-ups

Analysis & Decisions

  • • Sentiment analysis on feedback
  • • Lead scoring from form responses
  • • Prioritise support tickets
  • • Recommend next actions

Translation & Localisation

  • • Translate customer inquiries
  • • Localise content for markets
  • • Convert formats and units
  • • Standardise data entry

Example: Intelligent Email Processing

Workflow

Analyse incoming support emails, categorise, extract key details, route appropriately.

Gmail → OpenAI (Analyse) → Router → [Sales CRM / Support Ticket / Auto-Reply]

OpenAI Prompt

Analyse this email and return JSON with: - category: "sales_inquiry" | "support_request" | "complaint" | "spam" - urgency: "high" | "medium" | "low" - summary: brief 1-sentence summary - sentiment: "positive" | "neutral" | "negative" - key_entities: [names, companies, products mentioned] Email: {{gmail.content}}

Claude Integration via HTTP

While Make has native OpenAI integration, you can connect Claude using the HTTP module:

Claude API Call:

URL: https://api.anthropic.com/v1/messages

Method: POST

Headers: x-api-key: {{anthropic.api_key}}, anthropic-version: 2023-06-01

Body: {"model": "claude-3-sonnet-20240229", "max_tokens": 1024, "messages": [...]}

Cost Tip: AI operations can get expensive at scale. Use filters to only send appropriate content to AI modules, and cache common responses where possible.

💡 Need expert help with this?

Make.com Pricing for Australian Businesses

Understanding Make.com's pricing model is crucial for planning automations cost-effectively.

Plan Comparison (AUD Approximate)

Plan Monthly Cost Operations Best For
Free $0 1,000/month Learning, testing
Core ~$15 AUD 10,000/month Small business, simple automations
Pro ~$30 AUD 10,000/month Advanced features, priority execution
Teams ~$45 AUD 10,000/month Collaboration, team management
Enterprise Custom Custom Large orgs, SSO, support SLAs

Understanding Operations

Make counts "operations" differently than Zapier counts "tasks":

  • One Operation = One Module Execution: A scenario with 5 modules running once uses 5 operations
  • Filters Don't Count: Router filters and conditions are free
  • Iterations Multiply: Processing 100 items through 3 modules = 300 operations
  • Errors Count: Failed operations still count toward your limit

Optimising for Cost

Do

  • • Use filters early to stop unnecessary processing
  • • Batch operations where possible
  • • Schedule non-urgent scenarios for off-peak
  • • Use webhooks instead of polling when available

Don't

  • • Run scenarios more frequently than needed
  • • Process full arrays when you only need some items
  • • Forget to set up error handling (failed retries add up)
  • • Leave test scenarios running

Cost vs Value Example

Invoice processing automation for accounting firm:

  • Invoices processed: 200/month
  • Operations per invoice: 6 (receive, AI extract, create in Xero, email, Slack, log)
  • Total operations: 1,200/month (fits Core plan at $15 AUD)
  • Time saved: 5 min × 200 = 16.7 hours/month
  • Value at $75/hour: $1,250/month savings
  • ROI: 8,233%

Best Practices for Reliable Automations

Build automations that run reliably and are easy to maintain long-term.

Design Principles

  • Single Responsibility: Each scenario should do one thing well. Complex processes = multiple scenarios.
  • Fail Gracefully: Add error handlers to every scenario. Log failures and alert appropriate people.
  • Document Everything: Use scenario descriptions and notes. Future you will thank present you.
  • Test Thoroughly: Test with edge cases, not just happy path. What happens with missing data?
  • Monitor Actively: Review execution history regularly. Catch issues before they become problems.

Naming Conventions

Scenario Naming:

[Trigger Source] → [Action] → [Destination]

Examples:

• Typeform → Create Contact → HubSpot

• Gmail Invoice → Process → Xero

• ServiceM8 Job Complete → Invoice + Review

Folder Organisation

  • By Function: Sales, Operations, Finance, Customer Success
  • By Status: Production, Testing, Archived
  • By Client: For agencies managing multiple clients

Testing Checklist

Before Activating Any Scenario

  • ☐ Tested with "Run once" using real sample data
  • ☐ Tested with edge cases (missing fields, unusual values)
  • ☐ Error handling in place for each critical module
  • ☐ Notifications set up for failures
  • ☐ Schedule is appropriate (not more frequent than needed)
  • ☐ Description documented explaining what scenario does
  • ☐ No test data in production systems
  • ☐ Appropriate team members have access

Maintenance Matters

Schedule monthly reviews of your scenarios. APIs change, business processes evolve, and small issues compound over time. A 30-minute monthly check prevents hours of emergency fixes.

Conclusion

Make.com offers Australian businesses a powerful, cost-effective platform for automation that scales from simple workflows to enterprise-grade processes. The visual scenario builder, combined with advanced features like routers, iterators, and AI integration, enables automations that would otherwise require custom development.

Start with your highest-impact, lowest-risk process—often something like lead follow-up or invoice processing. Build confidence and skills with simpler automations before tackling complex multi-step workflows. And remember: the goal isn't automation for its own sake, but freeing your team to focus on work that genuinely requires human judgment and creativity.

For Australian businesses processing significant volume or needing sophisticated logic, Make.com typically delivers better value than Zapier while handling complexity that Zapier struggles with. The learning curve is worth the investment—once you think in terms of scenarios and modules, you'll spot automation opportunities everywhere.

Frequently Asked Questions

Is Make.com better than Zapier for Australian businesses?

How much does Make.com cost in Australia?

Does Make.com integrate with Xero?

What's the difference between operations and tasks?

Can Make.com connect to AI like ChatGPT?

How difficult is Make.com to learn?

Does Make.com work with Australian trades software?

How reliable is Make.com for business-critical automations?

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