An AI-powered marketing advisor that analyzes websites and advertising data to identify growth opportunities, reduce wasted spend, and generate executive-ready recommendations.
Small and medium-sized businesses collectively spend billions on Google Ads each year. Most have access to detailed performance data — but lack the time, expertise, or resources to translate that data into actionable strategy. They see numbers, but not opportunities.
This is exactly the gap that a skilled Account Strategist fills — analyzing data, spotting inefficiencies, and crafting recommendations that drive real business outcomes. This project demonstrates how AI can scale that expertise.
Holistic 0-100 score evaluating campaign structure, spend efficiency, and growth trajectory
AI identifies high-value growth opportunities based on business data, industry benchmarks, and search trends
Pinpoints inefficient keywords, search terms, and campaigns that are burning budget without results
Recommends new keywords and match types based on business goals and competitive landscape
Identifies conversion rate optimization opportunities based on current ad strategy
Prioritized action plan organized by impact: High Impact, Medium Impact, and Quick Wins
User inputs business context (industry, spend, goals) and optionally uploads Google Ads CSV exports
Business data is formatted into a detailed prompt that instructs the AI model to act as a senior Google Ads strategist
The AI model analyzes the data against industry best practices and generates structured JSON output covering all recommendation categories
The structured JSON is parsed and rendered into an executive-ready dashboard with score visualizations, prioritized recommendations, and detailed action plans
This project isn't just a technical demo — it mirrors the actual workflow of a Google Account Strategist or Customer Success Manager. It demonstrates practical skills that translate directly to enterprise technology sales roles:
Consultative Selling
Framing technical analysis as business outcomes
Data-Driven Decision Making
Using real advertising data to generate actionable insights
Executive Communication
Presenting findings in a clear, prioritized format
AI Implementation
Practical application of LLMs to solve real business problems
Customer Success
Understanding what customers need to grow
Business Strategy
Translating data into prioritized action plans
No account required · Results in ~15 seconds