traffic-analysis

# 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](https://support.google.com/analytics/answer/9756891) 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](https://web.utm.io/blog/utm_medium-utm_campaign-utm_source/), [UTMs for Marketing Attribution](https://web.utm.io/blog/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