ppc-analytics skillA
ppc-analytics is agent-read markdown (skill) from coupler-io/skills: Analyze paid-ads (PPC) performance over the ad data connected in your Coupler.io workspace — spend, impressions, clicks, CTR, CPC, CPM, conversions, CPA, ROAS — with per-platform funnel traces, an efficiency-first comparison table, brand vs non-brand splits, budget pacing, and a weekly PPC review. Use this skill when the user asks "how are my ads performing", "weekly PPC report", "why did CPA spike", "ROAS by platform", "Facebook vs Google Ads", "compare Meta and Google", "am I overspending my a.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Paid Ads Performance Analysis (PPC) Analyze paid-ads performance across whatever ad platforms the user has connected — answering plain-language questions about ad spend, delivery, and return with grounded numbers computed from their own data. Built for marketing agencies and eCommerce businesses (business owners and marketing managers): agencies care most about cross-channel comparison and cost efficiency; eCommerce cares most about ROAS and revenue. The senior-analyst outcome: a per-platform read of the paid funnel, an efficiency-ranked platform comparison, budget pacing against plan, and an honest treatment of attribution — never a naively blended number. ## Step 0 — Context Check (pre-requisite · HARD GATE) **Before any analysis, confirm the user has connected ad data AND that the dataset has meaningful context.** This check is inlined here on purpose — it must fire even if no other skill loads. - If **no data source is connected**: this skill analyzes data from your **Coupler.io** workspace. Connect a source first — for the full source-connection and credential flow, **use the `create-dataflow` skill**. …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/ppc-analytics@v0.2.0mdr add coupler-io/skills/ppc-analytics@sha256:7c45d53757467cdePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_h7dgalqvksqrv2fv)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.2.0 latest | 2026-08-27 | ea5b9df | 17,620 B | A | view · diff |
| v0.2.0 | 2026-08-26 | 260c8c0 | 17,609 B | A | view · diff |
| v0.2.0 | 2026-07-23 | 58d8101 | 17,532 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17620 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
coupler-io/skills · 34 stars · license none · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_h7dgalqvksqrv2fv GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/ppc-analytics GET https://markdownregistry.com/api/v1/blob/7c45d53757467cde4f2e81f99dd41e5c2ac7f6f305125119a7c7287bbfaf3766
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