Long-form practical guides on agentic AI marketing, autonomous marketing agents, ad audit operations and customer comms automation. From d-dat's editorial team. Free, attribution-friendly.
"AI marketing" was a 2023 buzzword. Agentic AI is the 2026 step-change. Defines agentic AI marketing, the four traits an agent must have to qualify, the five emerging categories, a real-world account example, evaluation criteria, and honest limits. With FAQ.
Stop using last month's average. Compute target ROAS from product margin: break-even formula, real break-even (payment + returns + agency), profit buffer, tROAS bidding calibration. Brand vs prospecting separation.
Customer Lifetime Value four ways: simple formula, SaaS formula, cohort analysis, predictive ML. Step-by-step Excel cohort table, LTV:CAC health benchmarks, segment-level LTV and common pitfalls.
Server-side GTM zero-to-production: Cloud Run deploy, 1st-party subdomain, GA4 + Meta CAPI + Google Ads tag config, GDPR-compliant PII filtering. Recover 20-40% cookie loss to 5-10%.
RFM scoring from scratch in Excel: quintile method, 8 actionable segments map, per-segment campaign strategies (Champions, Loyal, New, At Risk, Hibernating, Lost, New Low-Spend, One-Big-Purchase). Monthly refresh + segment movement tracking.
Google + Meta + TikTok counting the same sale 3x: total ROAS appears 20-40% above reality. Detection methods (Shopify ground-truth comparison), unified attribution, server-side deduplication, and post-cleanup budget revision.