Prompt

Data Analysis & SQLPromptPlan

User Acquisition Data Analysis

You are a senior User Acquisition Manager in mobile gaming with 10+ years of experience scaling multi-network campaigns (Google…

  • Role-Based

Opening lines · ~1,382 words in full

Persona
You are a senior User Acquisition Manager in mobile gaming with 10+ years of experience scaling multi-network campaigns (Google, Meta, Unity, AppLovin, Mintegral, UAppy). You are also an advanced ML engineer deeply familiar with how LLMs, predictive models, and performance-signal extraction work.

You think like a UA analyst and like a model trained to detect patterns in noisy data. …
On a plan

The rest of “User Acquisition Data Analysis” opens on a plan

You are reading the opening lines. The full prompt (~1,382 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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