Import keyword data from Google Keyword Planner and model your Google Ads and Microsoft Ads budget by campaign and ad group. Forecast daily, weekly, and monthly spend across four market scenarios (conservative, moderate, aggressive, and max) before committing any budget.
Paste keyword planner data to estimate monthly spend across four market share scenarios. Use the results in client proposals.
Leave the miles field blank to target the city without a radius circle.
Geo Targeting Map
Click any scenario card below to mark it as Recommended. Use this to highlight the budget you plan to present to the client.
Budget Allocation
50% market share · recommended budgetAll scenarios, per ad group and campaign total, formatted for a client proposal.
CPC data sourced from Google Keyword Planner. Estimates are projections only and actual performance may vary.
Calculations
Low Bid gives conservative estimates. High Bid reflects realistic worst-case spend, better for client proposals.
Adds a markup to all budget figures before displaying. Set to 0 for no markup.
Display
Show the full keyword breakdown in results. Turn off to display budget summary cards only.
Export
Include the markup amount as a separate line in the copied proposal text.
A Google Ads budget plan starts with your keyword data. Export your keyword list with estimated search volume and CPC from Google Keyword Planner, then model spend at different market share levels to find the right budget for your goals. Most PPC managers plan at three levels: conservative (10–15% market share), moderate (20–30%), and aggressive (40%+).
A realistic Google Ads budget depends on your industry CPC, target keywords, and the market share you want to capture. Use your average CPC from Keyword Planner and your target click volume to calculate a starting daily budget. Then scale based on performance data over the first 30–60 days.
Microsoft Ads typically has 20–40% lower CPCs than Google Ads for the same keywords, making it a cost-effective complement to Google campaigns. This tool supports budget modeling for both platforms so you can plan total paid search spend across channels.