AI in Marketing and Analytics. Where It Saves Time and Where It Breaks the Funnel
Where AI actually helps in marketing and analytics, where it fails, and why attribution mistakes still cost real money.
Where AI actually helps in marketing and analytics, where it fails, and why attribution mistakes still cost real money.
A practical look at an analytics agent that spots attribution shifts, protects paid spend, and saves hours of manual dashboard checks.
A flight metasearch case study on ownership, burnout, and the cost of bad attribution.
A vendor pitch with hallucinated numbers kills trust fast and turns an email marketing discussion into a bad upsell.
Why a 40% discount on a luxury resort is rarely a loss-leader, but a calculated strip-down of retail markup to the contracted wholesale price.
When launching a new flight route, marketing and sales often play tug-of-war. The aircraft flies half-empty, fares get dumped a month before start, and the route bleeds money.
Corporate culture treats toxicity like bad weather. You are supposed to endure it, drink chamomile, talk to a therapist, or build personal boundaries. Walk past any smoking area or coffee machine today and the default question is almost always, what brand of magnesium are you taking? Nonsense. A toxic manager
How chasing weather shifts, news hooks, and sudden spikes breaks automated bidding in travel campaigns, drives up CAC, and delivers daydreamers instead of bookings.
I lowered bids on a core domestic route, dropping average ad position from 1.9 to 2.7 with only a 4% loss in impression share. Testing how much free brand search automated targeting actually cannibalizes.
Real numbers reveal the gap between automated attribution and first-click reality. 2400 orders at 1.04 USD versus 600 at 4.16 USD. How algorithms cannibalize branded traffic and destroy unit economics.
A practical breakdown of smart ad campaigns: why automated strategies are market validation tools, not magic sales buttons. A real-world case study on $100 test budgets and unit economics.
Why thousands of followers and viral clips don't equal revenue. A look at creator economy stats, B2B personal branding, and why specialists need a clear offer, not an algorithm.