Paid Ads & ROI

Summary: AI attribution models map the real customer journey, showing which touchpoints actually drive conversions. Problem: Last-click attribution hides the true impact of upper-funnel or mid-funnel interactions. Solution: AI models assign conversion value dynamically across all touchpoints. Comparison: Last-click: misleading ROI Manual attribution: subjective AI attribution: data-based clarity Actionable Recommendation: Switch to a data-driven attribution […]

Summary: AI monitors campaign performance and instantly adjusts elements like copy, bid, and placement — all without waiting for manual input. Problem: Performance data changes fast, but human response is slow. Solution: Adopt AI systems that make adjustments in real time for consistent performance gains. Comparison: Static campaigns: miss fluctuations Over-tweaking manually: inconsistent AI-driven optimization:

Summary: AI can identify new, high-converting audiences that share behaviors with your best customers. Problem: Lookalike audiences often bring volume but not quality. Solution: AI predicts user intent and engagement likelihood, refining audience expansion. Comparison: Broad targeting: high spend, low ROI Narrow targeting: limited reach AI-driven lookalikes: precision with scale Actionable Recommendation: Test AI-generated lookalike

Summary: AI now runs creative tests faster and identifies which headlines or visuals resonate best with each audience segment. Problem: Manual A/B testing is slow and can’t scale across multiple audiences or channels. Solution: AI tools automate multivariate testing and optimize creatives in real time. Comparison: Manual tests: limited scope Over-testing: wasted impressions AI-driven testing: