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Guessing your Google Ads budget based on random agency advice is a recipe for burning capital. Brandon Bateman walks through the predictive mathematical formulas used to size PPC budgets based on local market dynamics and wholesale spreads.
Brandon is the founder and CEO of Bateman Collective, a digital marketing agency specializing in PPC and SEO for real estate investors nationwide. He specializes in applying data science, financial modeling, and enterprise-level advertising strategies to wholesale and flipping operations.
Calculating Target Cost Per Deal: Determining appropriate ad spend in high-spread markets versus national volume models
The Top-Down vs. Bottom-Up Forecasting Trap: Why working backward from target ROAS yields accurate budget expectations
Self-Correcting Ad Auctions: How competitive market dynamics naturally adjust Google Ads costs over multi-year cycles
The Financial Hazard of Over-Spending: Why pushing budget beyond local market search limits destroys net margins
The $30K to $60K Starting Capital Benchmark: Structuring a safe financial runway for local market launches
Pre-Launch Keyword Modeling: Estimating exact search volume and competitive density prior to campaign setup
Successful investors don't guess their marketing costs; they rely on predictive data. Size your ad budgets accurately, protect your downside, and build an inbound marketing engine designed for long-term profitability.
Weekly episodes on what’s working right now in wholesaling, flipping, and investor operations.
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