A marketing director spent 4 hours every Monday building a "weekly metrics" slide deck. I set up a system that does it in 3 minutes. She pays me $200/month to keep it running.
Category: Monetization Guide
Excerpt:
Make connects to data sources and handles the automation plumbing. Gamma takes structured content and generates professional presentations. Together, they create automated report systems that run forever. Most businesses have recurring reports that eat hours every week — weekly metrics, monthly client updates, sales summaries. You're not selling software; you're eliminating a recurring time sink.
Last Updated: March 13, 2026
Stack: Make (3000+ app automation) + Gamma (AI presentation generation)
Stack: Make (3000+ app automation) + Gamma (AI presentation generation)
Report Automation
Set once, run forever
$200-800 per system
Jump to what you need
The Pain: reporting nobody has time for
Report types that eat hours every week
Weekly metrics deck: Pull data from 3-5 sources, update charts, add commentary, format, export, email. Takes 2-4 hours. Happens 52 times per year.
Client reports: Agencies deliver monthly performance reports to 20+ clients. Each one: data pull, slide creation, customization, review. 30-60 minutes per client.
Sales summaries: Weekly pipeline reviews, deal status updates, forecast adjustments. Sales ops spends half a day every Friday on this.
Board/investor updates: Monthly or quarterly. High stakes. Hours of data gathering, formatting, and review. Always due "yesterday."
The people doing these reports are usually senior enough that their time is expensive. A $100k/year employee spending 3 hours/week on reports = $5,700/year in labor cost. You'll charge a fraction of that.
Why they haven't fixed it
"It's only a few hours per week." They don't do the math. A few hours per week, every week, forever, adds up to weeks of wasted time.
"I tried automation, it was complicated." They don't know about the newer tools. They're thinking of building custom scripts or hiring developers.
"Each report is different." They're not — 80% of any recurring report is the same structure, different data. The 20% customization doesn't justify manual everything.
"Our data is too messy." That's exactly why they need a system. Manual processes don't fix messy data; they perpetuate it.
Tool Breakdown: what each one handles
Make (formerly Integromat)
The automation engine. Connects to 3000+ apps and handles the data pipeline:
- Pull data from Google Sheets, Airtable, databases, CRMs, analytics tools
- Transform data — calculate changes, format numbers, filter rows
- Schedule runs — every Monday at 7am, first of the month, etc.
- Format output — build the text structure Gamma expects
- Trigger actions — send to Gamma, email the result, save to Drive
Free tier: 1000 operations/month. Paid: From $9/month. Best for: Data plumbing, scheduling, multi-step workflows.
Gamma
The presentation layer. Takes structured content and generates professional slides:
- AI-generated layouts — send text, get designed slides
- Charts and visuals — data tables become graphics automatically
- Consistent branding — templates with company colors, fonts, logos
- Multiple formats — export as PDF, PPTX, or shareable link
- 250M+ presentations created — proven at scale
Free tier: 400 credits (~10 decks). Paid: From $8/month. Best for: Turning structured content into presentations.
How they connect
The flow: Make pulls data from sources → formats into structured text (title, bullet points, data) → sends to Gamma via API or email → Gamma generates presentation → Make retrieves the PDF and delivers it.
The key insight: Gamma doesn't need raw data. It needs content structure: "Here's a slide about X with these 3 points and this chart data." Make does the transformation from messy data to clean content.
The key insight: Gamma doesn't need raw data. It needs content structure: "Here's a slide about X with these 3 points and this chart data." Make does the transformation from messy data to clean content.
The Workflow: building an automated report system
Phase 1: Map the Current Report (30-60 min)
1. Get their existing report
Ask for the last 2-3 versions. Look at what's consistent vs. what changes. Most recurring reports are 80% template, 20% new data.
2. Identify data sources
Where does each number come from? Google Analytics? Salesforce? A spreadsheet they update manually? Make supports 3000+ integrations — most common tools are covered.
3. Document the structure
How many slides? What's on each one? Which charts/tables? This becomes your Gamma template structure.
4. Understand the schedule
When is it due? When does data need to be pulled? Are there dependencies (e.g., wait for Monday's data to close)?
Phase 2: Build the Make Scenario (1-3 hours)
1. Connect data sources
Add modules for each data source: Google Sheets, Airtable, HTTP requests to APIs, etc. Test that you can actually retrieve the data.
2. Transform and calculate
Use Make's built-in functions: calculate week-over-week changes, format percentages, filter to relevant date ranges, aggregate data into summaries.
3. Build content structure
Create the text blocks Gamma will receive: slide titles, bullet points, data tables. Use templates with placeholders that fill with real data.
4. Set up scheduling
Configure when the scenario runs. Make supports cron-style scheduling. Set it to run early enough that the report is ready when they need it.
Phase 3: Connect Gamma (30-60 min)
1. Create a Gamma template
Build the base presentation in Gamma with the client's branding. This becomes the template that receives dynamic content.
2. Connect via Make
Use Gamma's API or the email-to-deck feature. Send structured content from Make, receive the generated presentation URL.
3. Set up delivery
Make retrieves the generated PDF and delivers it: email to stakeholders, save to Google Drive folder, Slack notification, or all three.
Test thoroughly: Run the full flow multiple times with real data before going live. Check edge cases: what if data is missing? What if a value is zero? Automations fail at the edges.
Common report types I've automated
Weekly sales dashboard: CRM data → pipeline summary → deals closed → forecast → deck
Marketing metrics: GA + ads data → traffic, conversions, spend → performance deck
Client reports: Project data → milestones, hours, budget → branded client deck
Executive summary: Multiple sources → KPIs, trends, alerts → board-ready presentation
Marketing metrics: GA + ads data → traffic, conversions, spend → performance deck
Client reports: Project data → milestones, hours, budget → branded client deck
Executive summary: Multiple sources → KPIs, trends, alerts → board-ready presentation
Pricing: what to charge
| Service | What's Included | Your Time | Price |
|---|---|---|---|
| Single Automated Report | 1 recurring report, 2-3 data sources, branded template, delivery | 2-4 hours | $300-600 |
| Report System ⭐ | 3-5 reports, multiple data sources, unified dashboard, training | 6-10 hours | $800-1,500 |
| Agency Client Reports | Template for 10+ clients, automated personalization, bulk generation | 8-15 hours | $1,500-3,000 |
| Monthly Monitoring | Watch for failures, fix breaks, minor adjustments, priority support | 1-2 hrs/month | $150-300/month |
| Data Source Addition | Add new data source to existing report system | 30-60 min | $75-150 |
Compare to the cost of manual reporting: a $75k employee spending 3 hours/week = $5,400/year in labor. Your $600 setup + $200/month monitoring = $3,000/year. They save money and get their time back.
The recurring revenue angle
Automations break. APIs change. Data sources shift. Offer monitoring as a subscription: "I'll make sure your reports keep running, and fix anything that breaks." Most clients will pay for peace of mind.
The agency opportunity
Marketing agencies send monthly reports to 20-100 clients. Each one is manual work. Build a system that generates all of them automatically, personalized per client. One project, five-figure potential.
First Client: who needs this yesterday
Target businesses with recurring report pain
Marketing agencies
They deliver monthly reports to every client. That's dozens of manual reports per month. The pain is constant and visible.
Sales teams with weekly pipeline reviews
Sales ops spends Friday afternoons building decks for Monday meetings. They'd pay to get their weekends back.
Startups with investor updates
Monthly or quarterly board decks. High stakes, time-sensitive. Founders hate the time sink but can't skip it.
Operations teams
Weekly performance reports, monthly operations reviews. Data comes from multiple systems that don't talk to each other.
The "show me your current report" strategy
Ask to see their existing report. While they show you, identify:
- Which parts are copy-paste from other tools
- Which numbers come from spreadsheets
- What they manually calculate
- Where they spend the most time
The pitch
"I can automate this entire report. It'll show up in your inbox every Monday at 7am, ready to forward. I'll set it up for $X, and monitor it for $Y/month. Interested?"
Cold email template
Subject: Your weekly report Hi [name], I noticed [company] puts out [specific report type — "weekly marketing metrics," "monthly client reports," etc.]. Quick question: how much time do you spend building that every week/month? I build automated report systems that generate themselves. Data pulls from your sources, updates the charts, formats the deck, and delivers it to your inbox on schedule. One of my clients was spending 4 hours every Monday on their metrics deck. Now it arrives at 7am, automatically. Happy to show you what it would look like for your report — no commitment, just a demo. — [your name]
Send 10. Expect 3-4 replies. Close 1-2. That's your first $400-1,200.
Build a demo first
Create one automated report using sample data. Connect a Google Sheet to Make, send to Gamma, generate a deck. Show this in your outreach: "Here's what an automated report looks like." Seeing is believing.
What I wish I'd known: Don't start by pitching "automation." Start by asking about their reports. The pain is already there — you're just offering a solution. Most people don't know this kind of automation is possible or affordable. Your job is to show them, not convince them.
Last Updated: March 13, 2026
report automation
Make
Gamma
automated reports
presentation automation
business intelligence
freelance
