conversion-tracking-health
Skill72 starsChanged 4 months agoMITView on GitHub
Audits conversion tracking health across Google Ads portfolios. Auto-invoke when user says 'conversion tracking audit', 'check conversion health', or 'audit conversions for [portfolio]'. Only analyzes accounts with spend in last 7 days. Identifies conversion actions that haven't fired or are stale.
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1 other project uses a version of this.
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- Vibha-Ramprakash/automate-google-adsword for word, first seen Sep 14, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Vibha-Ramprakash/automate-google-ads★ 0100% same
Edited · 0
None found.
Wrote their own version · 0
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Type: Read-only audit. Two shipped scripts: a portfolio scan and a single-account deep-dive.
- Distinctive: line 103
If you run a scheduled Google Ads Script or dashboard that tracks zero-conversion accounts continuously, keep both: the scheduled layer for …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Conversion Tracking Health Audit
Purpose: Find conversion actions that have gone quiet before someone asks "why did conversions drop?" — a portfolio-wide scan of which primary website conversion actions haven't fired recently, spend-gated so you only audit accounts that are actively running.
Type: Read-only audit. Two shipped scripts: a portfolio scan and a single-account deep-dive. Console-only — neither writes a file.
This skill deliberately does NOT:
- Fix anything — no tag edits, no action pauses, no re-promotion. It finds the quiet actions; the fix runs through your own change process.
- Detect missing tracking setup — an account with no conversion actions
configured passes silently. Absent-setup detection is
account-diagnostic's job (contract, "the zero-actions blind spot"). - Audit store-visit, app, or Google-hosted call conversions — ten non-website action types are filtered out by design (contract).
- Judge WHY an action is quiet — the output is a table of hypotheses;
rules.mdowns the triage that separates broken tags from seasonality, low volume, and deliberate config. - Track observation-only actions in the portfolio scan — that's the deep-dive's job (contract, cross-script asymmetry).
Prerequisites
google-ads.yamlat project root — seegoogle-ads-api-setup. The portfolio scan accepts--config <path>; the deep-dive reads./google-ads.yamlonly — run it from the project root.- Python with the
google-adspackage (pip install google-ads)
Workflow
Step 1: Choose accounts
- Single account:
--cid 1234567890 - Several:
--cids 1234567890,2345678901 - A book:
--accounts-file portfolio.csv(cid,nameper row, no header)
The three flags combine; duplicates run twice (contract, account list).
Step 2: Run the portfolio scan
python scripts/portfolio_conversion_audit.py --accounts-file portfolio.csvUseful variants: --days 180 (wider lookback — the no-data bucket is
window-relative), --include-no-spend (audit idle accounts too),
--config <path>. Runtime ~1-2 seconds per account (three sequential API
queries each).
Step 3: Read the output
Accounts print as [ok] / [skipped] … (no spend in last 7 days),
followed by three severity sections, worst first:
NO RECENT CONVERSIONS (90+ days) - 2 issues
STALE (30+ days) - 1 issues
WARNING (15-30 days) - 1 issuesHealthy actions (fired within 14 days) are suppressed; a clean run prints
NO ISSUES FOUND - All conversion actions are healthy. Exact bucket
definitions, console shapes, the meaning of Never fired
(window-relative!), and the three error paths that can make [ok] or
[skipped] lie are in
references/audit-contract.md — scan for
error lines before trusting any verdict (contract, error isolation).
Step 4: Triage per rules.md
Work rules.md top to bottom: error lines → no-data on
spending accounts → stale main actions → warnings against cadence. The
"when stale is expected" table keeps seasonal businesses, low-volume
actions, and migration leftovers from becoming tickets; the escalation
ladder (widen the window → observation view → change history → live tag
test) runs BEFORE any "tracking is broken" verdict.
Deep-dive (single account, all actions)
python scripts/last_conversion_dates_by_action.py --cid 1234567890 --days 180Shows ALL actions including healthy ones, with (in)/(obs) markers —
observation-only actions appear here and nowhere else. Pass --cid; name
lookup only sees directly-accessible accounts, not your MCC's clients
(contract, deep-dive resolution).
Pairing with scheduled monitoring
If you run a scheduled Google Ads Script or dashboard that tracks zero-conversion accounts continuously, keep both: the scheduled layer for always-on breadth, this skill for on-demand depth (per-action dates, severity buckets, spend-gating, and the deep-dive's observation view). They answer at different granularities — accounts vs. individual actions.
Files in This Skill
| File | Role |
SKILL.md | This workflow — run, read, triage, route |
rules.md | Judgment layer: triage order, when-stale-is-expected, escalation ladder, false-alarm table, cadence |
examples.md | Three worked reads — the routine portfolio pass, the error masquerade, the "Never fired" that fired for years |
references/audit-contract.md | Exact per-script mechanics: buckets, windows, console shapes, error isolation, the cross-script asymmetry table (source of truth: the scripts) |
scripts/portfolio_conversion_audit.py | Portfolio scan — primary actions, spend-gated, problems only |
scripts/last_conversion_dates_by_action.py | Single-account deep-dive — all actions incl. observation, healthy shown |
README.md | Zero-context install and orientation |
Runtime artifacts: none — both scripts are console-only.
After a Run
Nothing lands on disk: copy findings out of the console before they scroll (the analysis-date line in the header timestamps the run). Re-runs are always safe. If a row was fixed, the confirmation is the row clearing on the NEXT scan a few days later — schedule that follow-up when you ship the fix.
When to Load Something Else
| Trigger | Load |
| A quiet action needs a "who changed what" answer | change-history-checker — inside 30 days it names the actor on conversion-setting changes |
| An account never shows findings and you suspect no tracking exists | account-diagnostic — setup checks, not just activity checks |
| Findings need prioritizing across a big book | portfolio-health-prioritization — which account gets attention first |
| Findings go to a client | client-communication-standards — report framing |
No working google-ads.yaml yet | google-ads-api-setup — one-time credential setup |
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