Track campaign performance
Analyze campaign engagement data and surface what to adjust.
Copilot analyses campaign performance data and helps marketers interpret engagement so they can adapt messaging and spend.
Single model call (rung 2 of 6). Generate, extract, summarize, classify or translate. One request, one answer.
Not an agent: the sequence of steps is fixed in advance, so the whole path can be tested end to end.
- Autonomy: T0 · Suggest
- Surfaces information, ranks, or recommends. Changes nothing. Human role: does all the work; may ignore the system entirely.
- How it is governed
- Output schema validation. A human reads it before it counts.
- Anthropic (Claude Certified Architect – Foundations (CCAR-F))A single, well-prompted LLM call, which is often enough. source
- OpenAI (OpenAI agent guidance (Agents SDK, Codex, OpenAI Academy))One model request with clear instructions and context. source
- Google Cloud (Generative AI Leader)Prompt engineering: zero-, one- and few-shot prompting (exam §3.2). source
- Microsoft (AI-901 (Azure AI Fundamentals) and AB-100 (Agentic AI Business Solutions Architect))System and user prompts for generative AI models (AI-901). source
How Koko classifies AI · the full ladder is taught in AI & Agentic Delivery Foundations.
Try it
Illustrative demoWorked example of "Track campaign performance" on synthetic data — edit the inputs to tailor it. Edit the inputs to tailor the output — it's baked synthetic data, so nothing leaves your browser until you run it live.
Synthetic demo company (a ~$5B high-growth US AI SaaS) — swap in any name to tailor the output.
What this run should concentrate on.