Dayparting and Temporal Pacing in AI Chat Ad Campaigns
Conversational AI lets advertisers target stated user intent instead of relying on the clock.
Renata Szymańska
Senior Editor, Measurement & Analytics
Renata Szymańska
Renata spent a decade as a data scientist at a mid-size programmatic DSP before moving to editorial, where she now covers the intersection of attribution modeling, incrementality testing, and reporting infrastructure. Her work is known for translating dense measurement concepts into actionable guidance for ad ops practitioners.
8 stories
Budget Throttling Tactics During LLM Inventory Spikes
When falling token prices hide rising total bills, pacing rules built on old assumptions collapse.
Renata Szymańska
Bid Floor Mechanics in LLM Ad Exchanges
LLM ads require both monetary and relevance floors to clear, not just price.
Renata Szymańska
Bid Strategy Selection for Conversational AI Placements
Conversational AI auctions reward relevance over bid size, requiring new strategy.
Renata Szymańska
Ad Creative Adaptation Across Multiple AI Surfaces
Creative that works in ChatGPT fails in Perplexity—and vice versa.
Renata Szymańska
Product Mention Framing for High-Intent Conversational Moments
Marketers must match product mentions to conversational flow, not just target intent.
Renata Szymańska
CTA Design for In-Chat Ad Placements
Conversational ads need CTAs built for chat logic, not search.
Renata Szymańska
Budget Pacing Strategies for Conversational AI Ad Campaigns
Conversational AI ad budgets need intent-density pacing, not time-based pacing.
Renata Szymańska