From ad audits to WhatsApp bulk messaging, compliance to agent stacks: long-form practical guides from d-dat's editorial team. Each one ships with a checklist, pricing table or legal framework. Free and attribution friendly.
What a Google Ads audit is, how often to run one, and the difference between manual and AI-assisted auditing. A 12-step checklist to find where your budget is silently leaking. Covers search waste, audience overlap, Performance Max data leakage and attribution health.
How to send bulk WhatsApp messages the compliant way: the BSP route, template categories and approval, the conversation-based pricing model, and the risk of grey-market senders. A 12-step compliance checklist to set it up from scratch.
What AI marketing tools are, the five categories they fall into, and how to choose: real tools per category, pricing ranges, compliance checks, and the critical difference between an "AI tool" and "agentic AI". Budget planning framework + 5 common mistakes.
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.
"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.
GA4, GTM, server-side tracking, Enhanced Conversions, Consent Mode v2 and attribution. A practical guide to setting up modern conversion tracking from scratch, plus a 12-step health checklist.
Brand cannibalization, asset group structure, search themes, conversion thresholds: a 2026 field guide to Performance Max optimization with a 12-step checklist you can apply today.
Creative is the #1 lever in algorithm-driven advertising. A practical, AI-augmented testing framework for Meta and TikTok: hypothesis-driven variants, statistical thresholds, and a 12-step weekly cadence.
What first-party data is, how to collect it, and how to stay compliant. A practical strategy that starts without a CDP and scales gradually, plus a 10-step implementation plan.
What geo-lift testing is, how to design a test, and how to interpret the results. A practical region-based incrementality framework, the post-cookie gold standard for measuring what your ads actually add.
What MMM is, when to use it, and how it differs from MTA. A practical post-cookie budget allocation guide covering Robyn, Meridian and LightweightMMM, from data requirements to model calibration.