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traffic-analysis — 技能工具

v1.1.0

When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "dir...

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by @kostja94 (Kostja Zhang)·MIT-0
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License
MIT-0
最后更新
2026/3/17
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OpenClaw
安全
high confidence
This is an instruction-only traffic analysis guidance skill whose content, requirements, and behavior are internally consistent and request no installs, credentials, or filesystem access.
评估建议
This skill is a read-only guidance document for traffic attribution and dark traffic — it does not connect to your analytics or request credentials. If you expect automated analysis against your GA4/Ad accounts, note this skill won't perform API calls or access data without additional integrations (which would require explicit credentials/permissions). Before installing, decide whether you want a purely advisory skill (this one) or a skill that will be granted access to analytics accounts; if th...
详细分析 ▾
用途与能力
The name/description (traffic sources, dark traffic, attribution) match the SKILL.md content. The skill requests no binaries, env vars, or config paths — which is appropriate for a guidance/reference skill.
指令范围
Runtime instructions are prose guidance (UTM best practices, GA4 segmentation, channel definitions). They do not instruct the agent to read user files, access environment variables, or transmit data to external endpoints beyond linking to public docs, so the scope stays within analytics advice.
安装机制
No install spec and no code files — lowest-risk format. Nothing is downloaded or written to disk by the skill itself.
凭证需求
The skill requires no credentials or environment variables. It does not ask for unrelated secrets and makes only general recommendations about tagging and segmentation.
持久化与权限
always is false and the skill is user-invocable with normal autonomous invocation allowed (platform default). The skill does not request persistence, nor does it modify other skills or system configs.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.1.02026/3/17

Automated batch sync

● 无害

安装命令 点击复制

官方npx clawhub@latest install traffic-analysis
镜像加速npx clawhub@latest install traffic-analysis --registry https://cn.clawhub-mirror.com

技能文档

Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

  • Traffic sources: Organic, paid, social, referral, direct, email
  • Dark traffic: Unattributed visits labeled as "Direct / None"
  • Attribution: UTM tagging, segmenting, reporting accuracy

Branded vs. Non-Branded Traffic (Organic)

TypeCharacteristics
BrandedHigher CTR, conversion, purchase intent; users closer to funnel bottom
Non-brandedTouchpoint with future users; most sites get more non-brand traffic; competition fiercer
Brand traffic grows over time as brand awareness increases.

Bot Traffic

A large share of traffic can be bot traffic—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.

Traffic Channels

ChannelTypical SourcesAttribution
OrganicGoogle, Bing, other searchReferrer preserved
Paid (web)Google Ads, Meta Ads, etc.UTM required
Paid (app)App install ads; Google App Campaigns, Apple Search AdsUTM; in-app events
Paid (TV/CTV)Streaming ads; Hulu, Roku, YouTube TVUTM for QR/URL; brand lift
SocialPublic posts (Facebook, LinkedIn, etc.)Often preserved
ReferralExternal sites, backlinksReferrer preserved
DirectTyped URL, bookmarksNo referrer
EmailNewsletters, campaignsOften dark without UTM

Dark Traffic

What It Is

Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:

  • Private/dark social: WhatsApp, Messenger, Slack, Discord, TikTok shares
  • Email clients: Many strip referrer headers
  • HTTPS->HTTP: Referrer not passed
  • Mobile apps: In-app browsers often omit referrer
  • Ad blockers, privacy tools: Block tracking

Misattribution (Research)

When traffic was sent from known sources, analytics often misattributed:

  • 100% as direct: TikTok, Slack, Discord, WhatsApp, Mastodon
  • 75%: Facebook Messenger
  • 30%: Instagram DMs
  • 14%: LinkedIn public posts
  • 12%: Pinterest

Mitigation

ActionPurpose
UTM parametersTag links in emails, social, campaigns: ?utm_source=X&utm_medium=Y&utm_campaign=Z
Block internal IPsExclude company visits from reports
Segment direct trafficSplit by page type to estimate dark vs. genuine direct

Segmenting Direct Traffic

  • Expected direct: Homepage, short URLs, brand pages--likely real direct
  • Unexpected direct: Long URLs, deep pages, product pages--likely dark traffic
  • Report separately: Use segments in GA4/analytics to avoid overcounting direct

Attribution for Channel Optimization

Ads, growth channels, and medium can be optimized by viewing attribution data. Clean UTM + conversion tracking feeds attribution models; reliable attribution drives budget allocation and channel decisions.

UseAction
Optimize adsCompare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners
Optimize growth channelsIdentify which medium (cpc, email, social, referral) drives conversions; scale what works
Multi-touch attributionRequires clean UTM data; inconsistent tagging (e.g., facebook vs Facebook) fragments reports and misattributes
GA4 Default Channel Grouping: Align utm_medium and utm_source with GA4's rules to avoid "Unassigned" traffic. ~30% of campaigns lack proper UTM markup, leading to wasted ad spend; teams standardizing UTM see 29% improvement in attribution accuracy.

Reference: UTM.io – utm_medium, utm_campaign & utm_source Optimization, UTMs for Marketing Attribution

UTM Best Practices

ParameterUseExample
utm_sourceOriginnewsletter, facebook, google
utm_mediumChannel typeemail, cpc, social
utm_campaignCampaign namesummer_sale, product_launch
utm_contentVariant (optional)banner_a, cta_button
utm_termPaid keyword (optional)running_shoes
GA4 alignment (avoid Unassigned):

Channelutm_mediumutm_source
Paid Searchcpcgoogle, bing
Paid Socialpaid-social, cpcfacebook, instagram
Emailemailnewsletter, mailchimp
Organic Socialsocialtwitter, linkedin
App installcpc, appgoogle, facebook, apple
CTV / Streamingvideo, ctvhulu, roku, youtube
Display / Bannerdisplay, cpcPublisher or network name
Directory adspaid, cpctaaft, shopify, g2, capterra
  • Consistent naming: Lowercase, hyphens; document conventions; never tag internal links (overwrites session attribution)
  • Apply everywhere: Every link in emails, social posts, ads
  • Avoid: Typos, inconsistent values; causes fragmentation

Traffic Diversification

PrincipleGuideline
Search shareKeep organic search below ~75% of total traffic
HealthHigher direct + referral share = healthier profile
Brand sitesDiversified traffic is common for strong brands
EngagementContent, email, social, free tools drive return visits
See seo-monitoring for full SEO data analysis framework.

Natural Traffic Benchmark

Location: GA4 > Reports > Acquisition > Traffic acquisition

  • Review organic traffic trend
  • Record baseline (e.g., monthly total)
  • Compare periodically to detect growth or decline

Output Format

  • Traffic source breakdown
  • Dark traffic estimate and actions
  • UTM tagging recommendations
  • Segmentation approach for reporting

Related Skills

  • analytics-tracking: Implement UTM, events, conversions; attribution models
  • google-ads, paid-ads-strategy: Paid channels; attribution informs budget allocation
  • ai-traffic-tracking: AI search traffic
  • google-search-console: GSC performance and indexing analysis
  • seo-monitoring: Full SEO data analysis system, benchmark, article database
  • email-marketing: Email strategy; UTM for email links
数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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