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

Traffic Channels

Channel Typical Sources Attribution

Organic Google, Bing, other search Referrer preserved

Paid Google Ads, Meta Ads, etc. UTM required

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

• 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

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

• Consistent naming: Lowercase, underscores; document conventions

• 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 analytics-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 and event tracking

• analytics-ai-traffic: AI search traffic

• analytics-google-search-console: GSC performance and indexing analysis

• analytics-seo-monitoring: Full SEO data analysis system, benchmark, article database

• channels-email-marketing: Email strategy; UTM for email links