Marketing, Analytics & Growth Systems That Drive Measurable Results

I help organizations improve growth and operational performance by combining data analysis, content strategy, and scalable marketing systems.

About

I specialize in bridging marketing execution and business intelligence to identify growth opportunities, fix system inefficiencies, and scale digital performance. My work spans social media strategy, CRM analysis, and content system design across both organizational and client-facing environments.

Quick Wins

  • Implemented and created a social media strategy across TikTok, Instagram, and YouTube that immediately increased average views by 84.6% within the first 7–10 posts.

  • I analyzed 20,474 outbound interactions after a system migration and found a 25% increase in volume but a 27% drop in conversion rate, revealing a clear tradeoff that could impact revenue by ~20%.

  • The TikTok strategy I implemented produced standout performance, generating 57.9K views on the first post follwing the strategy.

  • Across 39,897 dials and 8,000+ connects, I identified that 20.8% of lost opportunities were caused by ineffective objection handling.

  • I analyzed 405 low-quality leads and found that 60.7% were caused by CRM pipeline logic issues, with nearly 70% concentrated in a single campaign.

  • Strategic changes in content structure and delivery led to multiple breakout posts that significantly outperformed baseline engagement.

  • I implemented a structured content workflow that improved consistency, reduced bottlenecks, and increased overall posting efficiency.

Marketing & Social Media

Case Studies

    • Within my first month, I restructured the church’s entire social media strategy, focusing on content format, posting cadence, and platform-specific optimization. This led to an average 84.6% increase in views across platforms within the first 7–10 posts, with multiple pieces of content significantly outperforming previous benchmarks. The new system created a repeatable framework for consistent growth and engagement.

  • I redesigned the content approach to prioritize short-form, high-retention video tailored to each platform’s algorithm and audience behavior. This resulted in breakout performance across channels, including individual post with 57.9K views on TikTok, 18.8K on YouTube, and 10K+ on Instagram within the first week. The shift validated a scalable content model built around performance, not just output.

  • I introduced a structured workflow for content planning, filming, editing, and publishing to reduce bottlenecks and improve consistency. This allowed the team to move from inconsistent posting to a more reliable and repeatable content schedule. As a result, content quality and turnaround speed improved while maintaining stronger performance across platforms.

  • I helped organize and delegate responsibilities across the media team to better support content production and execution. By clarifying roles and simplifying the process, the team was able to operate more efficiently without sacrificing quality. This created a more sustainable system for ongoing content creation and growth.

  • Within the first month of implementation, performance data showed immediate improvement in reach and engagement across all major platforms. The early results confirmed that the new strategy was effective and repeatable. This provided a clear foundation for scaling content and continuing growth over time.

Business Intelligence

Case Studies

    • Analyzed 20,474 outbound dialing interactions following migration from legacy system to Orum

    • Identified 25% increase in outbound volume and 27% decrease in appointment-setting rate (6.7% → 4.9%)

    • Evaluated system-level tradeoffs between activity efficiency and conversion performance

    • Projected ~20% increase in monthly revenue potential driven by increased outbound capacity

    • Delivered insights used in stakeholder decision-making for outbound strategy optimization

    Outcome: Quantified operational tradeoffs of new outbound system, directly informing performance strategy and revenue forecasting

    • Analyzed 405 “unpassable” leads (9.1% of total volume) to identify systemic qualification failures

    • Found 60.7% of bad leads were caused by identifiable CRM pipeline logic inefficiencies

    • Discovered 69% of bad leads originated from a single campaign source

    • Highlighted gaps in CRM filtering logic impacting lead quality and sales efficiency

    • Findings directly influenced stakeholder decisions on campaign and workflow adjustments

    Outcome: Exposed concentrated system inefficiencies driving poor lead quality and informed corrective operational changes

    • Analyzed 39,897 dials, 8,139 connects, and 2,088+ meaningful conversations (>1 min) across sales team performance

    • Identified 20.8% of lost opportunities were due to ineffective objection handling

    • Developed performance insights leading to proposed training and process improvements

    • Modeled potential ~22.1% increase in sales output through improved objection handling execution

    Outcome: Quantified behavioral performance gap and proposed scalable training intervention to improve conversion efficiency

    • Independently analyzed 512 personal leads to evaluate pipeline quality and conversion efficiency

    • Identified 30%+ of leads were unusable due to structural qualification issues

    • Proposed improvements to lead identification and filtering process

    • Estimated ~20% improvement in pipeline efficiency through earlier lead qualification

    Outcome: Improved personal pipeline efficiency through structured lead quality analysis

Observe My Work

This video demonstrates the full range of my social media and content production skills, from planning and filming to editing and publishing. It was created and executed entirely by me as a project for my church.