Built for leaders deciding how technology, data, and disciplined execution should create stronger demand, cleaner pipeline movement, and better commercial outcomes.
The work behind Hurtado Analytics & Consulting came from a simple frustration: businesses had modern tools, dashboards, CRMs, websites, and now AI platforms, but still struggled to turn that infrastructure into qualified demand, faster sales cycles, and confident revenue decisions.
The firm was built around that revenue problem. Not around one channel. Not around one tool. Around the discipline of assessing where money is being made, missed, delayed, or wasted, then turning the highest-return opportunities into practical systems.
The path behind the firm shaped how we work today: understand the business model, assess where marketing and sales systems are leaking opportunity, identify where AI or automation can improve conversion, and prioritize what should be done first.
The work started with web development and grew into understanding how websites, content, search visibility, and tracking influence acquisition and revenue.
Managing SEO across 45+ websites made the business need clear: growth work has to be prioritized, measured, governed, and connected to pipeline and revenue.
Client work expanded into research, AI-assisted analysis, KPI design, process mapping, and revenue data. The focus became less about producing reports and more about helping leaders see where sales and marketing investment should go.
Hurtado Analytics & Consulting now brings those pieces together as one commercial discipline: Organic Search & AI Search Optimization, Marketing & Sales Automation, Marketing & Sales Intelligence, and AI Training for Teams, all directed toward better demand, faster sales movement, and clearer growth decisions.
For leaders evaluating a revenue system partner, the person behind the methodology matters. David leads the work directly, bringing experience across organic search, AI search visibility, automation, analytics, AI workflows, and commercial decision support.
Some businesses need to understand why demand is not converting. Some need stronger follow-through. Some need clearer revenue evidence before funding an expensive campaign. Some need practical training so teams can use AI responsibly.
The service changes. The logic does not: assess the current revenue system, connect opportunity to financial value, prioritize the next moves, and make implementation clear enough to execute.
Share the context, and we can identify where the conversation should start: growth, automation, data, AI revenue systems, or team enablement.
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