Know which ad wins,
before you spend a cent.

CCS is a layered architecture, engineered end to end. Each of up to 1,000 agents is built from market-research grounded data — name, age, Big Five personality, archetype, daily routine, memory, mood, and price sensitivity. When your ad reaches them, the decision flows through six engine pillars in concert: a deterministic attention gate filters who actually notices (fatigue, scroll mode, prior exposure); a qualitative evaluation layer reads the creative the way a person would — visual, copy, overlay text, brand, tone — and produces a first-person reaction; a synthetic auction bids the impression slot against virtual competitors calibrated to real Meta and Google CPM/CPC; a temporal modelrespects each agent's real routine and accumulated fatigue; a social graph propagates virality from popular agents to their network; and a continuous calibration measures error against real benchmarks. Every decision is logged and reproducible — replay any simulation and read the why behind every reaction.

A ranked verdict for every creative — winners and losers, format-by-format, with per-archetype reasoning and concrete edits the agents would respond to. Then go deeper: interview a focus group (everyone who clicked, everyone who scrolled past) or chat one-on-one with any agent and read, in their own words, why they did what they did.

Minutes for you. Hours for them. Runtime scales with the number of creatives and the audience size — a small sim wraps fast, a stress test with hundreds of creatives and 1,000 agents can take 15–30 minutes. Inside the engine the simulation plays out across 6 to 24 hours of agent time — second by second, the way a real day unfolds. Each agent has its own routine: some check Instagram at 7 AM, lunch, and before bed; others only at night. The simulation respects when each persona is actually online, so impressions distribute the way they would in real life. No 14-day learning phase. No tracking pixel. No waiting for Meta to spend.

Practically anywhere. Deepest calibration so far covers the United States, Canada, the United Kingdom, Portugal, Italy, Spain, France, Switzerland, Sweden, Germany, Brazil, Argentina, Chile, Paraguay, Ecuador, Mexico, Israel, the United Arab Emirates, and Japan. For every audience, AdSim runs an intelligent market-research layer trained to surface consumer-behavior patterns and the distinct profiles inside each niche — so the people inside the simulation look like the people in your real market.

Free: up to 4. Pro: up to 30. Max: up to 75. Every creative is judged against the same audience in the same auction — head-to-head, no advantage to whichever you uploaded first. Two simulation modes decide how they compete:

• Linear (default). Agents browse the way they actually would, drifting between Feed, Stories, Reels, and Search as their routine takes them. One virtual society moves across every format you set. Best for exhaustive, balanced coverage cross-format — every creative gets fair exposure.
• Per-format. Each format runs as its own A/B arena, with the same audience and isolated competition. Best when multiple variants compete inside a single format (e.g. three Stories ads head-to-head) and you want the cleanest possible isolation.

Yes. Creatives are encrypted at rest, scoped to your account, and never used to train external models. Full disclosure on /privacy.