// OFF LEASH MARKETER AUTHOR
R. Garcia is an MBA-trained growth and measurement leader with more than 20 years of hands-on marketing experience across small businesses, nonprofits, healthcare, health tech, and SaaS, including both sales-led and product-led growth. The work centers on data and analytics, paid search, attribution, lifecycle systems, and turning complex evidence into practical decisions.
ABOUT THE AUTHOR
R. Garcia created Off Leash Marketer to share practical marketing systems for the AI era: work that a curious marketer can understand, inspect, build, and improve without buying another black-box promise.
The perspective comes from more than 20 years of doing the work: beginning in small-business marketing, moving through data analysis and marketing leadership, consulting independently since 2013, and leading growth in healthcare SaaS across both sales-led and product-led growth motions. R. Garcia has owned multimillion-dollar acquisition budgets and worked across paid search, paid social, display, programmatic media, SEO, conversion optimization, lifecycle marketing, events, and high-consideration customer journeys.
Data and analytics are the through line. R. Garcia has built first-touch, hybrid-attribution, and Ridge-regression Marketing Mix Modeling systems; joined spend to trial, customer, and revenue outcomes across nine channels; and created API-first reporting stacks that normalize advertising, analytics, organic-search, offline-media, and CRM evidence while keeping source freshness, reconciliation, and failure states visible. The implementation work includes Google Tag Manager, GA4, Looker Studio, HubSpot, Microsoft Dynamics 365 CRM, Salesforce Marketing Cloud, Apps Script, advertising APIs, and consent controls.
Representative results include growing trials 38% while reducing CAC payback by more than one-third, increasing LTV 53% and ARR 29%, increasing healthcare-SaaS demos 60% in two quarters and 81% across six quarters, tripling qualified lead volume, and driving 109% MQL growth and 72% enrollment growth across three cycles. Those outcomes came from clearer segmentation, better measurement, direct customer learning, disciplined channel allocation, and systems teams could actually operate.
R. Garcia also builds the capability around the system: defining funnel ownership, training marketers to use APIs and automation, and helping nontechnical teams build and deploy their own reporting and Apps Script workflows. AI is treated as leverage for careful practitioners—not a substitute for customer understanding, measurement discipline, or accountable judgment.
Articles are grounded in direct working experience, documented research, and reproducible checks. When a conclusion depends on assumptions, incomplete evidence, or a changing platform, those limitations should be stated plainly.
ARTICLES
utm governance · · 9 min read
A field-tested Google Tag Manager audit method for live versions, firing order, conversion deduplication, consent, naming, and safe API automation.
// Read Article →utm governance · · 11 min read
Learn how GA4 engagement rate and bounce rate differ from Universal Analytics, why both are session-scoped, and how custom scroll-depth events and heatmaps reveal page behavior.
// Read Article →marketing mix modeling · · 13 min read
A technical postmortem of an MMM allocation pipeline: observed-attribution floors, exact reconciliation, fault-injected validators, cohort maturity, source splicing, and the defects still left to solve.
// Read Article →paid search · · 12 min read
Compare exact, phrase, and broad match in Google Ads, add negative keywords safely, and govern broad match with conversion data, scripts, and weekly AI-assisted query reviews.
// Read Article →paid search · · 6 min read
Audit Google Ads conversion actions by separating One vs. Every counting from Primary vs. Secondary optimization before inflated events train bidding.
// Read Article →paid search · · 14 min read
Improve Google Ads ROAS by governing conversion value, bidding, search intent, ads, landing pages, and margin—not by polishing a misleading platform ratio.
// Read Article →paid search · · 10 min read
Build a defensible negative keyword review queue across Google Ads, Microsoft Advertising, and Apple Ads without treating every costly query as irrelevant.
// Read Article →advertising apis · · 16 min read
Decide whether a manual export, formula, Apps Script, connector, or direct advertising API is the smallest system that can reliably support the marketing decision.
// Read Article →marketing mix modeling · · 7 min read
Define the decision, row grain, outcome, media inputs, controls, and validation plan before choosing a Marketing Mix Modeling framework.
// Read Article →campaign taxonomy · · 5 min read
Build campaign naming rules that keep platform exports, analytics data, CRM records, and executive dashboards comparable.
// Read Article →