Hack 3: AI-Driven PPC for Profit Maximization

Step 3: Predictive Forecasting: AI Models Future Spend Based on Seasonality (e.g., via Google Sheets + GPT)

Expansion: This forecasts PPC spend, clicks, and sales to optimize budgets.

• Data Source: Yes, from your historical Amazon PPC ad spend. Export from Amazon Seller Central: Advertising > Reports > Sponsored Products > Search Term Report or Campaign Report. Download CSV for past 12+ months, including metrics like spend, impressions, clicks, sales, seasonality (e.g., holidays).
• Using Google Sheets + GPT: Import CSV into Sheets. Use built-in functions or add-ons like "GPT for Sheets" (install from Marketplace, $10/mo). Prompt: "Forecast next 3 months PPC spend based on this data [paste range], accounting for Q4 seasonality and 10% growth." Or use Vertex AI integration: Enable in Sheets (Tools > Extensions), query: "Predict spend using time series."
• Advanced: Script in Sheets: Use ARRAYFORMULA for trends. Tools like PPC Ninja or AdBadger automate pulls. Example workflow: Zapier pulls Amazon data weekly > Sheets > GPT analyzes > Alert on over/under-spend. Benefits: Reduce ACOS by 10-20% with proactive bids.