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- Traffic Channel Finder
traffic-channel-finder_skill
- Shell
0
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill ntdrun/ari-skills --skill traffic-channel-finder- SKILL.md3.7 KB
Overview
This skill designs data-backed traffic acquisition strategies and ranks marketing channels using an algorithmic ICE (Impact × Confidence × Ease) model. It audits sources, maps generic channels to region-specific platforms, and produces a prioritized leaderboard and immediate next-step actions. It activates on requests like "build my traffic plan" or "evaluate marketing channels."
How this skill works
The skill requires a brief with Geo/Date, Product type, ICP, and target economics before proceeding. It loads a channels landscape file, filters and localizes candidates, audits public and third-party data to assign Confidence by data tier, then computes ICE scores to rank channels. The output includes a leaderboard, low-confidence items, anti-patterns where economics fail, and a concrete next action for the top channel.
When to use it
- You need a prioritized list of acquisition channels for a launch or growth sprint.
- You want to verify channel choices with sourced metrics rather than opinion.
- You must map global channel categories to local platforms (e.g., Russia, China, West).
- You need to screen channels against target CAC or product price constraints.
- You want a testable first action for the highest-ranked channel.
Best practices
- Provide a complete brief: target geo, launch date, B2B/B2C, ICP, and target CAC or price.
- Supply or allow access to the traffic-channels-landscape.tsv to ensure accurate Ease values.
- Require source links for audience or conversion metrics; prefer Tier 1 or Tier 2 sources.
- Treat channels with Confidence < 4 as experimental and plan small tests before scale.
- Re-run the audit quarterly or when major platform/market changes occur.
Example use cases
- Early-stage SaaS founder asks: "build my traffic plan" for a US SMB product with a $200 target CAC.
- E-commerce brand expanding to Brazil requests a localized channel list and prioritized tests.
- Marketing lead wants to "evaluate marketing channels" for a Q3 paid acquisition budget allocation.
- Growth consultant needs a defensible leaderboard to justify channel spend to stakeholders.
FAQ
Geo/launch date, product type (B2B or B2C), ICP details, and target CAC or product price are required to filter and score channels.
How is Confidence determined?
Confidence comes from a Data Source Tier: Tier 1 (official reports/government) yields 9–10, Tier 2 (reputable studies/media) yields 6–8, Tier 3 (blogs/anecdote or missing data) yields 1–3.
What if a local channel is missing from the TSV?
The skill can add an "External Candidate" with a note and lower Confidence, then prioritize it for initial testing.