Tag: AI MarTech Stack
-
Model Context Protocol (MCP) is the missing link between AI tools and real business data. Instead of building dozens of custom integrations, teams use MCP to connect AI systems to CRMs, databases, and APIs through a single standard. This guide explains how it works, why it matters, and how leaders can use MCP to speed…
-
AI is no longer optional, but adoption often fails when workflows break down, budgets scatter across too many tools, and trust erodes. This article outlines a six-step AI workflow process that helps leaders integrate systems, target the right tasks, measure trust, and assign accountability. Learn how to turn AI from a bolt-on feature into a…
-
In this case study, I detail how MyEListing reduced wasted ad spend by 20% and lifted conversions 47% by integrating CRM, GA4, SEO, and paid media into a unified, AI-powered marketing stack. I led the design and execution of this system, moving the team from fragmented, siloed reporting to a single source of truth with…
-
In this case study, I detail how I designed and executed an AI digital marketing strategy for MyEListing that cut cost per lead by 65% and lifted conversions to 3.8%. By combining predictive lead scoring, NLP keyword clustering, marketing automation, and AI-driven budget allocation, I built a scalable framework that turned fragmented ad spend into…
-
In the rapidly evolving B2B landscape, traditional demand generation tactics are no longer sufficient. ‘AI-Powered Demand Generation: The Smarter, Scalable Playbook for B2B Growth’ by Richard Naimy reveals how artificial intelligence is reshaping this critical function. The article introduces a comprehensive 4-layer AI Demand Gen Framework, covering everything from intelligently targeting the right buyers and…
