Automate Paid Ad Data With Make.com

Paid advertising stacks get complex fast, and make.com lets you automate data collection from multiple ad platforms into a single, reliable reporting hub. This guide walks you through building a scenario that pulls ad performance metrics into a central database or spreadsheet, so you can monitor results without manual exports.

The walkthrough below is based on the official tutorial on how to automate data collection for paid ads using make.com, and adapts it into a practical, step‑by‑step implementation guide.

Why Use Make.com For Paid Ads Reporting?

Running ads across Google, Meta, TikTok, and other channels produces siloed data. Manually exporting reports wastes time and introduces errors. With make.com you can:

• Connect multiple ad accounts and platforms.
• Standardize metrics and naming across sources.
• Automate daily or hourly data pulls.
• Centralize performance into a single sheet, database, or BI tool.
• Build dashboards that always show fresh numbers.

Instead of juggling CSV exports, you design a reusable automation pipeline once and let it run on schedule.

Planning Your Make.com Scenario

Before building, define how your reporting flow should work. For each ad platform, identify:

• Which accounts or ad managers you need.
• What level of data you want (campaign, ad set, ad, keyword, etc.).
• The date range you will pull on each run.
• The fields you need, such as impressions, clicks, spend, conversions, ROAS.
• Where the data should be stored (Google Sheets, database, data warehouse, or analytics tool).

Once this is clear, you can translate the logic into modules and routes inside make.com.

Creating a New Scenario in Make.com

Start by creating a dedicated scenario that will become your paid ads data pipeline.

1. Log in to your make.com account and open the Scenarios section.

2. Click Create a new scenario.

3. From the app list, choose your core data destination first, such as Google Sheets, Airtable, or a database connector.

4. Save the empty scenario and give it a descriptive name, for example, “Paid Ads Master Report”.

This will be the canvas where you add ad platform modules and define how the data flows.

Connecting Ad Platforms to Make.com

Each advertising source will use its own app connector in make.com. The exact modules differ by platform, but the overall process is similar.

Step 1: Add the Google Ads Connection in Make.com

1. In your scenario, click the big plus icon and search for Google Ads.

2. Select a module that retrieves performance data, such as a report or “Search for” type module.

3. Create and authorize a connection to your Google Ads account. Follow the OAuth prompts to grant appropriate access.

4. Configure the module to pull the level of detail you want, for example:

   • Entity level: campaign, ad group, keyword, or ad.
   • Date range: yesterday, last 7 days, or a custom range using variables.
   • Metrics: impressions, clicks, cost, conversions, conversion value, etc.

Use filters and conditions in the module configuration to limit results to the campaigns and networks that matter for your reporting.

Step 2: Connect Meta Ads to Make.com

1. Add another module and search for the Facebook Ads or Meta connector.

2. Choose a module that retrieves insights or performance data.

3. Authorize access to your Meta Business Manager or ad account.

4. Select the reporting level (campaign, ad set, ad) and any filters (such as active campaigns only).

5. Map the required fields including spend, impressions, link clicks, leads, or purchases.

Align naming conventions and metrics with your Google Ads configuration so that later you can merge all data into a unified structure.

Step 3: Add Other Ad Sources to Make.com

Repeat a similar process for any other networks you use:

• TikTok Ads – use the appropriate reporting or analytics module.
• LinkedIn Ads – pull campaign or creative performance.
• Other channels – connect with native apps or generic HTTP modules when APIs are available.

Each platform should output fields that you can normalize before saving into your central repository.

Designing Your Data Structure in Make.com

A consistent schema makes reporting and dashboarding much easier. In make.com, you do this by mapping and transforming fields before storing them.

Define a Common Schema

Create a set of unified columns that every platform will map to, such as:

• Date
• Platform (Google, Meta, TikTok, etc.)
• Account name
• Campaign name
• Ad set / Ad group name
• Ad name or ID
• Impressions
• Clicks
• Spend
• Conversions
• Revenue or conversion value

Later, these fields will be easy to analyze in spreadsheets, BI tools, or custom dashboards.

Normalize Platform Data With Make.com Tools

Use built‑in tools in make.com to transform and align your data:

• Set variable modules to hold reusable values like “Platform = Google Ads”.
• Text functions to clean naming conventions (trim, replace, lowercase, etc.).
• Math functions to calculate derived metrics such as CTR or CPC when needed.
• Routers to branch logic depending on the ad platform while keeping a consistent output structure.

This normalizing layer is key to building a sustainable paid media reporting pipeline.

Storing the Data From Make.com

Once your ad modules are configured and unified, connect them to a storage destination.

Option 1: Google Sheets as a Destination

1. Add a Google Sheets module, such as “Add a row”.

2. Connect to your spreadsheet and choose the correct sheet tab.

3. Map each normalized field from make.com to the appropriate column in the sheet.

4. Enable the scenario and run a test to confirm that a new row is created with the correct values.

Google Sheets is ideal for lightweight reporting, quick checks, or when stakeholders are used to spreadsheets.

Option 2: Databases and BI Tools

If you need more robust analytics, use connectors in make.com to send data into:

• SQL databases like MySQL or PostgreSQL.
• Data warehouses and analytics platforms.
• Third‑party reporting tools that support API or direct app integrations.

The logic remains the same: each execution of the scenario fetches new data, normalizes it, and writes it to your preferred data store.

Scheduling and Running Your Make.com Scenario

To keep your reports always up to date, put your scenario on a schedule.

1. Click the clock icon in your scenario to open the scheduling options.

2. Choose how often the scenario should run, for example every day at a specific time.

3. Adjust your date range in the ad modules to match the schedule (for example, “yesterday” for daily runs).

4. Turn the scenario on and monitor the first few executions to confirm data accuracy.

You can also trigger runs manually any time you need an immediate refresh for a campaign review or client meeting.

Testing, Monitoring, and Improving Your Make.com Setup

Once your pipeline is live, keep an eye on both data quality and scenario performance.

• Use the Execution history in make.com to review individual runs, check logs, and inspect output bundles.
• Add filters and error handling for situations where an ad account is paused or returns no results.
• Refine your schema when you introduce new metrics or channels.
• Document your fields so everyone understands how metrics are calculated.

Periodic adjustments ensure that your automated reports stay aligned with evolving campaign strategies.

Additional Resources for Make.com and Paid Ads

You can study the original tutorial for this workflow directly on the official website: how to automate data collection for paid ads. It provides platform‑specific screenshots and detailed examples that complement this guide.

If you need strategic help designing multi‑channel reporting or scaling your automation stack beyond ad data, consider consulting experts who specialize in automation and analytics, such as Consultevo.

Conclusion: Centralize Paid Media With Make.com

By building a structured scenario in make.com, you replace manual exports and fragmented dashboards with a unified, automated view of your paid advertising performance. Connect your ad platforms, normalize the data, send it to a reliable storage destination, and schedule regular runs. Once configured, you can focus on optimization and strategy instead of repetitive reporting tasks.

Need Help With Make.com?

If you want expert help building, automating, or scaling your Make scenarios, work with ConsultEvo — certified workflow and automation specialists.

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