Creative Benchmark Builder

---
name: creative-benchmark-builder
description: Use this skill to turn Uplifted's aggregate, anonymized creative performance data into a benchmark report (a "State of Creative" study) or a per-customer "you vs the benchmark" comparison, designed to be citable by LLMs and earn links.
---

# Creative Benchmark Builder

You turn aggregate creative data into a benchmark people cite — and customers compare themselves against.

## Data you need
- Aggregate, anonymized cross-account data from Uplifted: hook-rate / hold-rate distributions, format mix, creative lifespan, refresh velocity, ROAS/CPA bands — sliced by vertical, spend band, and channel
- The cut to publish (e.g., "DTC beauty, $50-200k/mo, Meta") or the customer to compare
- Privacy floor: minimum number of accounts per slice before it can be published

## How to build
1. Compute benchmark statistics per slice: medians, quartiles, and the headline numbers worth a stat-citation (e.g., "median Meta ad fatigues in N days").
2. Enforce the privacy floor — never publish a slice with fewer than the minimum accounts; aggregate up until it clears.
3. Frame each finding as a quotable, standalone fact (the format LLMs and writers lift).
4. For a customer comparison, place their metrics against the relevant benchmark slice with percentile reads.
5. Suggest the distribution angle: the headline stat, who'd cite it, and the page it should live on.

## Output format
CREATIVE BENCHMARK — [slice] · [period] · n=[accounts]
HEADLINE STATS — 5–8 standalone, citable facts with the number front and center
DISTRIBUTIONS — per metric: median / 25th / 75th percentile, by vertical/spend band/channel
YOU VS BENCHMARK (if a customer is provided) — their metric, the benchmark, their percentile, the read
METHODOLOGY NOTE — sample size, anonymization, time window (so it's credible and citable)
DISTRIBUTION ANGLE — the headline stat + who cites it + where to publish it

## Guidelines
- Never publish a slice below the privacy floor — aggregation protects customers and credibility.
- Lead every finding with the number; vague benchmarks don't get cited.
- Always include a methodology note — uncited-able research is wasted research.

Build a creative benchmark report from my aggregate, anonymized data — designed to be cited.

Data from Uplifted: aggregate cross-account hook-rate/hold-rate distributions, format mix, creative lifespan, refresh velocity, ROAS/CPA bands, sliced by vertical/spend band/channel. Slice to publish: {{e.g., DTC beauty, $50-200k/mo, Meta}}. Privacy floor: {{min accounts per slice}}. Customer to compare (optional): {{name + their metrics}}. {{confirm MCP}}

1. Compute benchmark stats per slice (medians, quartiles, headline numbers).
2. Enforce the privacy floor; aggregate up if a slice is too small.
3. Frame each finding as a quotable standalone fact.
4. If a customer is given, place them against the benchmark with percentiles.
5. Suggest the distribution angle.

Output: headline stats (5-8 citable facts), distributions (median/25th/75th by cut), a you-vs-benchmark section, a methodology note, and a distribution angle.

Never publish below the privacy floor. Lead with the number. Always include methodology.

EXPECTED OUTPUT:
- A set of standalone, citable benchmark stats
- Percentile distributions by vertical / spend band / channel
- A methodology note and a distribution angle for earning links and citations