traffic-analysis

kostja94/marketing-skills · updated Apr 8, 2026

$npx skills add https://github.com/kostja94/marketing-skills --skill traffic-analysis
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summary

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

skill.md

Analytics: Traffic

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)

Type Characteristics
Branded Higher CTR, conversion, purchase intent; users closer to funnel bottom
Non-branded Touchpoint 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

Channel Typical Sources Attribution
Organic Google, Bing, other search Referrer preserved
Paid (web) Google Ads, Meta Ads, etc. UTM required
Paid (app) App install ads; Google App Campaigns, Apple Search Ads UTM; in-app events
Paid (TV/CTV) Streaming ads; Hulu, Roku, YouTube TV UTM for QR/URL; brand lift
Social Public posts (Facebook, LinkedIn, etc.) Often preserved
Referral External sites, backlinks Referrer preserved
Direct Typed URL, bookmarks No referrer
Email Newsletters, campaigns Often 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

Action Purpose
UTM parameters Tag links in emails, social, campaigns: ?utm_source=X&utm_medium=Y&utm_campaign=Z
Block internal IPs Exclude company visits from reports
Segment direct traffic Split by page type to estimate dark vs. genuine direct

Segmenting Direct Traffic

  1. Expected direct: Homepage, short URLs, brand pages--likely real direct
  2. Unexpected direct: Long URLs, deep pages, product pages--likely dark traffic
  3. 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.

Use Action
Optimize ads Compare paid channels (Google, Meta, LinkedIn) by attributed conversions; reallocate budget to winners
Optimize growth channels Identify which medium (cpc, email, social, referral) drives conversions; scale what works
Multi-touch attribution Requires 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

Parameter Use Example
utm_source Origin newsletter, facebook, google
utm_medium Channel type email, cpc, social
utm_campaign Campaign name summer_sale, product_launch
utm_content Variant (optional) banner_a, cta_button
utm_term Paid keyword (optional) running_shoes

GA4 alignment (avoid Unassigned):

Channel utm_medium utm_source
Paid Search cpc google, bing
Paid Social paid-social, cpc facebook, instagram
Email email newsletter, mailchimp
Organic Social social twitter, linkedin
App install cpc, app google, facebook, apple
CTV / Streaming video, ctv hulu, roku, youtube
Display / Banner display, cpc Publisher or network name
Directory ads paid, cpc taaft, 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

Principle Guideline
Search share Keep organic search below ~75% of total traffic
Health Higher direct + referral share = healthier profile
Brand sites Diversified traffic is common for strong brands
Engagement Content, 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

  1. Review organic traffic trend
  2. Record baseline (e.g., monthly total)
  3. 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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.450 reviews
  • Ira Kim· Dec 28, 2024

    traffic-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aarav Srinivasan· Dec 28, 2024

    Keeps context tight: traffic-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 24, 2024

    Solid pick for teams standardizing on skills: traffic-analysis is focused, and the summary matches what you get after install.

  • Yuki White· Dec 20, 2024

    Useful defaults in traffic-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aarav White· Nov 19, 2024

    I recommend traffic-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Nia Bhatia· Nov 15, 2024

    Useful defaults in traffic-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Malhotra· Nov 11, 2024

    traffic-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aarav Farah· Nov 11, 2024

    traffic-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Li Robinson· Nov 7, 2024

    Solid pick for teams standardizing on skills: traffic-analysis is focused, and the summary matches what you get after install.

  • Aisha Lopez· Oct 26, 2024

    Keeps context tight: traffic-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

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