Every Monday morning, the same scene plays out in agencies and in-house marketing teams around the world. A media buyer opens five tabs: Google Ads, Meta Ads Manager, TikTok Ads, Google Analytics 4 and the CRM. They manually export data from each platform, paste it into a spreadsheet, wrestle with metrics that never line up (currencies vary, attribution windows differ, campaign naming conventions clash), and after 5 hours deliver a report the client will receive on Tuesday. In 2026, this approach isn't just inefficient — it's dangerous. Optimization decisions made on 48-hour-old data waste, on average, 12 to 18 % of ad spend.
The problem: 5 hours a week, 5 sources to reconcile
Cross-channel reporting is the Achilles' heel of global media buying. Our surveys of 30 agencies and advertisers show that the average time spent on weekly reporting is 5.2 hours per managed account. For an agency running 8 accounts, that's more than 40 hours per week — a full-time role dedicated solely to reporting. The friction points are many: Google Ads reports conversions with a 3-day delay, Meta uses a 7-day click / 1-day view attribution window, TikTok has its own logic, and GA4 models some conversions. Merging this heterogeneous data without errors is practically impossible by hand.
The workflow architecture: APIs → Make.com → Sheets → Looker Studio
The Webotic workflow rests on a simple but robust architecture. The ad platform APIs (Google Ads API, Meta Marketing API, TikTok Marketing API, GA4 Data API) feed Make.com scenarios scheduled to run at 6:00 AM every day. Make.com transforms, normalizes and writes the data into a structured Google Sheets workbook with one tab per platform and one consolidated tab. Looker Studio connects to that Sheet and renders a real-time dashboard accessible to the whole team. The workflow runs automatically at 6:00 AM, so by 8:00 AM when the team arrives, the reporting is already up to date.
Setup in 5 steps
Step 1: Connect the Google and Meta APIs
In Make.com, create a scenario and add the Google Ads — Search Reports and Facebook Ads — Read Reports modules. For Google Ads, you'll need a (free) developer account and an OAuth token. For Meta, connect your Business Manager via Make.com's native connector. For TikTok, use the HTTP module with the TikTok Marketing API. Each module should pull the same time ranges (D-1 to D-30 rolling) and the same metrics: impressions, clicks, cost, conversions, conversion value. Discover our technology partners for certified connectors.
Step 2: Transform and normalize the data
Each platform has its own field names and formats. Make.com lets you transform data through mapping modules. Normalize currencies to a single target (automatic conversion if accounts are in EUR or USD), unify metric names (cost → Spend, conversions → Conversions, revenue → Revenue), and compute derived KPIs: CPA (Spend / Conversions), ROAS (Revenue / Spend), CTR (Clicks / Impressions), CPC (Spend / Clicks). This normalization is the key to reliable cross-channel reporting.
Step 3: Write to Google Sheets, one tab per platform
Structure your Google Sheets workbook with 5 tabs: Google Ads, Meta Ads, TikTok Ads, GA4 and Consolidated. Each tab uses the same normalized columns: Date, Campaign, Ad Set, Impressions, Clicks, Spend, Conversions, Revenue, CPA, ROAS. The Consolidated tab aggregates data from every platform with an extra Source column. Make.com uses the Google Sheets — Add a Row module to insert each data row. The data.webotic.ma platform uses this same architecture for our clients.
Step 4: Connect Looker Studio
Create a Looker Studio report and add Google Sheets as a data source. Connect each tab separately to enable platform-level filtering. Build your dashboard around the 10 essential KPIs from the Webotic template: total spend, number of conversions, average CPA, blended ROAS, impressions, clicks, CTR, average CPC, total revenue and CPM. Add filters by date range, by platform and by campaign. Looker Studio refreshes automatically on every open.
Step 5: Schedule automatic execution
Schedule the Make.com scenario to run every day at 6:00 AM local time. Add a weekly scenario on Monday at 7:00 AM that sends a recap email with the key KPIs from the previous week straight to the client's or marketing director's inbox. Layer in conditional alerts: if CPA exceeds a defined threshold or daily spend runs over budget, Make.com pushes an instant Slack or WhatsApp notification. Pair this automation with automated lead qualification for an end-to-end automated pipeline.
Reporting time: before vs after
| Task | Manual (hours/week) | Automated (hours/week) |
|---|---|---|
| Data collection (5 platforms) | 1.5 h | 0 h (automatic) |
| Formatting and normalization | 1.5 h | 0 h (automatic) |
| Analysis and insights | 1.5 h | 0.2 h (dashboard ready) |
| Sharing and client presentation | 0.5 h | 0.05 h (automated email) |
| Weekly total | 5 h | 0.25 h (15 min) |
The gain is 4 hours 45 minutes per week per managed account. For an agency running 8 accounts, that's 38 hours recovered every week — the equivalent of a junior media buyer's full-time salary. The workflow's ROI (roughly $16/month for Make.com) pays back in under a day.
The Webotic template: 10 essential KPIs
Our Looker Studio template, used internally and shared with clients, organizes 10 KPIs across three sections. The Performance section displays total spend, number of conversions, average CPA and blended ROAS with a period-over-period comparison. The Traffic section shows impressions, clicks, CTR and CPC with a daily trend line. The Profitability section presents total revenue and CPM with a per-platform breakdown as donut charts. Each KPI comes with a trend indicator (green or red arrow) and a comparison against the previous period.
The template also includes a dedicated page for campaign-level analysis with a detailed table sortable by any metric, plus a budget allocation page showing each platform's share of total spend and the conversions it generates.
Automated reporting isn't a gadget — it's a competitive advantage. Agencies that automate their reporting recover 38 hours a week that they reinvest into campaign optimization. The result: their clients get better ROAS without higher fees. Start with a single account, validate the workflow within a week, then roll it out across your full portfolio.