AI Marketing Analytics & Attribution
Campaign attribution, customer segmentation, churn prediction, and ROI analysis — AI turns your marketing data into actual decisions.
“Spreadsheets tell you what happened. AI tells you what's going to happen next and which channel to blame when it doesn't.”
What you'll learn
Multi-touch attribution: AI models can analyze the full customer journey and assign fractional credit to each touchpoint (email, ad, search, referral). This replaces the 'last click wins' model that overvalues bottom-of-funnel channels. Tools: Northbeam, Triple Whale, or custom models in Google Analytics 4.
Customer segmentation: move beyond 'demographic' segments. Use AI to cluster customers by behavior — high-value repeat buyers, at-risk churners, discount-seekers, dormant reactivatable. Each segment gets different messaging, offers, and frequency. Re-run segments quarterly as behavior evolves.
Churn prediction: AI detects early warning signals — decreased login frequency, fewer purchases, support tickets about cancellations, payment failures. Set up automated interventions: a discount code for 'about to churn' customers, a survey for 'low satisfaction' signals, a personal call from account management for high-value accounts.
ROI analysis: AI can calculate true campaign ROI including attribution, customer LTV, and channel interaction effects. Ask: 'Which combination of channels drives the highest LTV customers?' not 'Which channel had the most clicks?' The answer is usually different and more profitable.