Traffic analysis skill

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