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 Sheets1) 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 × 365Use 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 Excel1) 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 DownOnce 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 AgentsSimular’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 workflow1) 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 propertiesWith 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 ExecutionThe 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.