AI Overviews Optimization: What Works in Google Search
How to optimize for Google AI Overviews: what Google says, what the data shows, a practical checklist and how to measure results in Search Console.
Facebook Conversions API Setup: A Practical Guide for 2026
Set up the Facebook (Meta) Conversions API step by step: pick the right route, send server events, deduplicate with the Pixel, and test before you scale.
Augmented Reality Marketing: A Practical Guide for Brands
How augmented reality marketing works, what research says drives results, how to plan, build and measure an AR campaign, and the privacy risks to manage.
GA4 Setup Checklist: 12 Steps to Get Your Data Right
A practical GA4 setup checklist for business owners and marketers: property, data stream, events, key events, ecommerce, filters and testing, in order.
An ROI Measurement Framework for Marketing Teams
A practical ROI measurement framework: define profit-based ROI, separate ROI from ROAS, combine attribution, incrementality and MMM, and report to your CFO.
Privacy-First Marketing: A Practical Guide for US Teams
Privacy-first marketing means earning consent, collecting first-party and zero-party data, and measuring without tracking people. Here is how to build it in the US.
SEO Content Briefs That Scale From One Page to SEO, AEO, and GEO
Build repeatable SEO content briefs with a one page quick template, a long form model, and a scaling workflow for teams working across SEO, AEO, and GEO.
Omnichannel Strategy: Connect Customer 360 to KPIs, Not More Channels
Build an omnichannel strategy around Customer 360 data and measurable KPIs, with practical steps and a data, AI, and design perspective from Magic Logix.
Conversational AI: Marketing Teams Should Pilot Before Scaling
Learn how marketing teams pilot conversational AI, connect it to CRM and automation, measure results, and set privacy, disclosure, and governance controls.
Customer Journey Mapping: Marketing Teams Test First, Act in 90 Days
Build customer journey maps with a hypothesis first workshop, targeted validation, and a 90 day plan that turns findings into measurable experiments.