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Response Uplift Modeling

Category: General  ·  Sub-category: general-misc  ·  Last updated:
Predicts customer response probabilities (propensity) and incremental lift for promotions, supporting ROI optimization via uplift modeling. Use when the user asks to: predict who will respond to a campaign, score customers for promotion targeting, estimate incremental lift vs control group, optimize promotion ROI by finding the scoring threshold that maximizes profit, evaluate a propensity or uplift model with lift charts or precision-recall curves, or build a two-model / single-model / multinomial uplift approach. Also trigger when someone says "propensity model", "uplift model", "response model", "persuadables", "four quadrants", "incremental lift", "treatment vs control", "ROI threshold", "targeting depth", "decile lift", "savability score", "churn uplift", "capping and budgeting", "campaign ROI optimization", or pastes customer-level data with treatment (T) and response (Y) columns.

From the source SKILL.md

Predictive modeling skill for promotion targeting. Covers propensity scoring, two-model and single-model uplift, multinomial four-quadrant classification, ROI threshold optimization, and evaluation (lift chart, PR curve).

What this skill does

Response Uplift Modeling is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/response-uplift-modeling/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user asks to: predict who will respond to a campaign, score customers for promotion targeting, estimate incremental lift vs control group, optimize promotion ROI by finding the scoring threshold that maximizes profit, evaluate a propensity or uplift model with lift charts or precision-recall curves, or build a two-model / single-model / multinomial uplift approach. Also trigger when someone says "propensity model", "uplift model", "response model", "persuadables", "four quadrants", "incremental lift", "treatment vs control", "ROI threshold", "targeting depth", "decile lift", "savability score", "churn uplift", "capping and budgeting", "campaign ROI optimization", or pastes customer-level data with treatment (T) and response (Y) columns.

Who uses this skill

The Response Uplift Modeling Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 70,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/response-uplift-modeling
curl -L https://claudskills.com/skills/response-uplift-modeling/SKILL.md \
  -o ~/.claude/skills/response-uplift-modeling/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/response-uplift-modeling/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/response-uplift-modeling/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\response-uplift-modeling\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

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Pro

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Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
ClaudSkills. (2026). Response Uplift Modeling [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/response-uplift-modeling/
BibTeX
@misc{response-uplift-modeling-2026,
  author    = {ClaudSkills},
  title     = {Response Uplift Modeling [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/response-uplift-modeling/}
}

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