How to build AdSense calculator in Google Sheets & Excel

Running one AdSense calculator is easy. Running dozens for multiple sites, geos, and clients is where it gets messy. Let’s walk through both the manual paths and the agent-powered, scalable way.

1. Manual AdSense Calculator in Google Sheets

1. Create your base sheet

• Add input cells for pageviews per day, CTR, CPC, RPM, and country mix.
• Reserve a separate section for outputs: daily, monthly, and yearly revenue.

2. Build the core formulas

• Clicks = Pageviews × CTR
• Revenue = Clicks × CPC
• Monthly revenue = Daily revenue × 30
• Yearly revenue = Daily revenue × 365 Use named ranges (like "pageviews", "ctr", "cpc") so formulas stay readable.

3. Add scenarios

• Create a simple table where you vary CTR and CPC for different layouts or niches.
• Use data validation drop-downs (for country tiers or traffic bands) that switch assumptions via VLOOKUP.

Pros: Free, transparent, easy to tweak with your team. Cons: Manual updates, easy to break formulas, hard to copy cleanly across many sites or clients.

2. Manual AdSense Calculator in Excel

1. Start with a template

• Rebuild the same logic in Excel, but lean into its strengths: separate sheets for Inputs, Logic, and Outputs.

2. Add advanced analysis

• Use Data Tables or Scenario Manager to test multiple CTR/CPC combos.
• Build charts to visualize how revenue moves with traffic changes.

3. Share and version

• Save templates for each client or site, then manually plug in analytics data.

Pros: Powerful modeling, offline use, rich charts. Cons: Version chaos, email back-and-forth, and the same manual data-entry grind.

3. Where Manual Breaks Down

Once you manage more than a handful of properties, patterns emerge:

• You copy-paste from Google Analytics or another analytics tool into Sheets/Excel.
• You open the same calculators every week or month, update inputs, refresh charts, export PDFs.
• You answer the same questions for clients: "What if we double traffic?", "What if CPC drops 20%?" These steps are deterministic, repetitive, and click-heavy – perfect terrain for AI computer agents.

4. Automating AdSense Calculators With Simular AI Agents

Simular’s AI agents behave like a focused teammate at your desk. They can open a browser, log into analytics, pull metrics, update Sheets and Excel, and document what changed.

a) Automated update workflow

1. Define the task

• "Once a day, open my traffic analytics, pull last 30 days of pageviews by country, then update the AdSense calculator in Google Sheets and export a client-ready PDF."

2. Agent executes the workflow

• Launches browser and signs in.
• Navigates to reports, filters dates, and exports or copies data.
• Opens the target Google Sheet or Excel workbook (via desktop or cloud).
• Pastes data into input ranges, lets existing formulas recalc.
• Exports updated dashboards as PDF and saves them to a shared folder or emails them.

Pros: No more copy-paste, repeatable and documented, runs while you sleep. Cons: Requires a bit of upfront setup and clear instructions, and you’ll want to audit early runs.

b) Scaling across many properties

With an AI agent, the difference between updating 1 calculator and 50 is mostly just a loop:

• Feed the agent a list of sites, traffic sources, and template locations.
• Let it iterate: for each item, it pulls metrics, updates calculators, logs any issues.

For agencies or networks, this turns an entire afternoon of spreadsheet work into a background process.

5. Hybrid Approach: Human Strategy, Agent Execution

The sweet spot is usually hybrid:

• You design the calculator logic, pick benchmarks, and decide which scenarios matter.
• The AI agent handles execution: opening tools, moving data, and refreshing outputs.

That way you keep the thinking work – pricing, positioning, content bets – and offload the drudgery of maintaining Google Sheets and Excel models. Over time, you can add more tasks to the same agent: pulling header bidding data, comparing networks, or flagging revenue anomalies before your clients do.