AI-Powered Marketing Analytics Dashboard
Analytics · AI · Data Visualization
Project Overview
Pet Partners’ marketing data lived across multiple platforms, making it difficult to get a clear view of performance without manually pulling together reports from different sources. I built an AI-powered marketing analytics dashboard in Claude that consolidated data from Google Ads, GA4, Meta, LinkedIn, Landingi, and Hotjar into a single reporting environment. The dashboard made it easier to see what was working across channels and turn fragmented marketing data into insights that could guide strategy and budget decisions.
The Challenge
Marketing performance data was spread across separate platforms, each with its own reporting interface and metrics. Getting a complete picture required manually reviewing multiple sources and piecing the results together, which made reporting time-consuming and made it harder to quickly spot patterns across channels.
The Approach
I created a centralized reporting workflow that brought marketing data from each platform into Claude, where I could analyze performance across channels in one place. Rather than treating each platform as a separate reporting silo, I structured the dashboard around the questions that mattered most to the marketing team and organizational leadership.
I used the dashboard to compare performance across channels, investigate changes in campaign results, and surface insights that would have been harder to see in platform-level reports alone. It also gave me a faster way to answer questions from leadership without rebuilding reports every time a new question came up.
From Fragmented Data to One Dashboard
The redesign transformed AAAIP’s website from a dense, information-heavy experience into a more modern and intuitive platform with clearer navigation and stronger visual hierarchy – this led to more prominent pathways to key services and resources.
Outcomes
The dashboard transformed a fragmented reporting process into a centralized view of marketing performance. Instead of reviewing each platform independently, I could analyze cross-channel results in one place, respond to leadership questions more efficiently, and use the data to make better-informed decisions about campaigns and budget allocation.
Centralized Reporting
Consolidated marketing data from Google Ads, GA4, Meta, LinkedIn, Landingi, and Hotjar into one reporting environment.
Faster Performance Insights
Reduced the time spent moving between platforms and made it easier to investigate campaign performance and answer questions from leadership.
Smarter Decision-Making
Cross-channel analysis provided clearer context for campaign results and helped inform marketing strategy and budget decisions.
Key Contributions
I designed and built the reporting workflow in Claude, bringing together marketing data from Google Ads, GA4, Meta, LinkedIn, Landingi, and Hotjar. I structured the dashboard around the questions the marketing team and leadership needed to answer, then used it to analyze cross-channel performance and uncover insights that were difficult to see in individual platform reports. The result was a more efficient reporting process and a practical example of using AI to make marketing data more useful.