TRANSFORMING MARKETING INTELLIGENCE INTO ACTIONABLE GROWTH INSIGHTS
The Challenge
Marketing performance data, lead attribution, campaign results, and sales pipeline information were fragmented across multiple platforms. While individual channels provided visibility into their own performance, there was no centralized way to connect marketing activity to lead quality, pipeline progression, and business outcomes.
Understanding which investments were generating meaningful opportunities required hours of manual reporting, data reconciliation, and cross-functional coordination. Marketing lacked the consolidated intelligence needed to consistently evaluate channel effectiveness, identify acquisition opportunities, and make informed investment decisions.
The opportunity was bigger than improving reporting. It was to establish a more sophisticated, measurable approach to marketing performance—one that connected acquisition strategy to the outcomes that mattered to the business.
The Strategy
I independently architected and built an interactive, AI-powered marketing intelligence hub using ChatGPT, integrating live Salesforce data with HubSpot reporting through Google Sheets.
I transformed fragmented reporting into a centralized decision-support system, connecting more than 370 incoming records across marketing sources, HubSpot, and Salesforce. The environment brought together acquisition performance, campaign analytics, lead qualification, and sales pipeline context to create a more complete view of marketing's contribution to growth.
Established Full-Funnel Marketing Intelligence
Connected acquisition sources to Lead, MQL, SQL, Opportunity, Code Sent, and Closed Won stages, creating visibility into conversion and prospect progression throughout the funnel.
Developed company-level reporting and historical comparisons to evaluate performance, qualification, and downstream outcomes.
Distinguished overall pipeline performance from marketing-influenced results to provide more meaningful attribution and reporting.
Unified Performance & Investment Reporting
Consolidated reporting previously spread across three platforms into one centralized environment.
Developed interactive views to evaluate performance by source, campaign, channel, date, and funnel stage.
Integrated paid media, Shopify advertising, sponsorship, and trade show reporting to assess channel effectiveness and investment performance.
Incorporated budget, annual goals, and year-over-year comparisons to support resource allocation and strategic prioritization.
Introduced AI-Powered Analysis & Decision Support
Built conversational data exploration and AI-assisted performance summaries to make complex marketing data more accessible.
Incorporated automated flags and contextual analysis to identify performance trends, outliers, and records requiring further review.
Created a flexible intelligence environment that supported both recurring performance reviews and deeper strategic analysis.
From Reporting to Strategic Decision-Making
The intelligence hub revealed organic search and the Shopify App Store as key acquisition drivers, supporting continued investment in both channels.
By connecting acquisition sources to qualification and opportunity progression, I established a clearer understanding of which channels were contributing to business growth and where marketing resources could have the greatest impact.
The result was a more measurable, accountable marketing operation—equipped with the data infrastructure, analytical capabilities, and AI-powered tools to make faster decisions, prioritize investment, and connect marketing activity to business performance.
The Results
95%
Reduction in Performance Review Time
3 → 1
Reporting Environments
352%
Improvement in SQL to Outcome Conversions