AI Stack for Google Ads Budget Optimization

Google Ads budget decisions are usually made under pressure — you're mid-month, spend is pacing fast, and you need to know where to cut without tanking the pipeline. This stack gives you a structured way to answer that question. Pull your current campaign spend, pipeline contribution, and efficiency metrics from Google Ads, run the combined data through a Claude budget reallocation prompt, and get a prioritized set of budget moves with rationale attached. No gut-feel reallocations. No 'pause everything and see what happens.'

The Stack

The Prompt

This stack is built around the Channel Budget Reallocation Prompt. Here's the abbreviated version — the full prompt with all variables and usage notes is on its own page.

You are a B2B paid search specialist optimizing Google Ads budget allocation.

Review the campaign spend, pipeline contribution, and efficiency data provided below.
Identify campaigns that are overspending relative to their pipeline contribution — flag for reduction.
Identify campaigns with strong CPL and pipeline output that have remaining budget headroom — flag for scaling.
For each recommendation, specify the exact budget adjustment and the efficiency rationale behind it.
Output a prioritized budget reallocation brief with specific dollar changes and expected impact.

The Workflow

1. Export Google Ads campaign data

   Pull the past 30 days of campaign performance from the Google Ads API — spend, clicks, conversions, CPL, and impression share by campaign type and match type.

2. Pull pipeline contribution from Salesforce

   Export Google Ads-sourced opportunities and pipeline created from Salesforce for the same period. Map back to campaign names via UTM data.

3. Build the budget model in Sheets

   Create a simple budget model in Google Sheets: current spend by campaign, pipeline contribution, and efficiency ratio (pipeline ÷ spend). This is your input dataset.

4. Run the reallocation prompt

   Paste the budget model into the Channel Budget Reallocation prompt. Claude identifies which campaigns to increase, reduce, or pause — with specific dollar amounts and rationale for each move.

5. Implement and communicate

   Apply the recommended budget changes in Google Ads. Post a summary of what changed and why to Slack. Log the decision in your Sheets model so the rationale is tracked over time.

What This Replaces

• Mid-month budget decisions made on instinct because pulling pipeline data takes too long
• Across-the-board budget cuts that hit strong campaigns the same as weak ones
• Verbal budget decisions that nobody documents and nobody remembers the reasoning for

Related Stacks

• AI Stack for Google Ads Management →
• AI Stack for Paid Media Reporting →
• AI Stack for B2B Paid Media Attribution →