Analyze multi-channel traffic

Analyze website traffic across all channels

Growth leads doing monthly channel performance reviews and trying to understand where unattributed Direct traffic actually comes from.

• · GA4 traffic data by source/medium
• · UTM parameter records from campaigns
• · Referrer logs from analytics

• · Traffic source breakdown (organic, paid, social, referral, direct, email)
• · Dark traffic identification and mitigation recommendations
• · Attribution by channel for budget optimization

• · GA4 (Traffic Acquisition reports, segments)
• · Analytics platforms
• · UTM parameter tracking discipline

• · GA4 configured
• · UTM tagging implemented across campaigns

• · Dark traffic (WhatsApp, Messenger, Discord, TikTok) stripped of referrer; 100% misattributed to Direct
• · Email links without UTM tags default to Direct; requires intentional tagging
• · Private/dark social platforms intentionally omit referrer; cannot be perfectly tracked
• · Bot traffic contaminates visitor counts; must be filtered separately
• · Inconsistent UTM naming (facebook vs Facebook) fragments reports

• · Branded vs non-branded traffic characteristics table
• · Bot traffic warning and mitigation (exclude via GA4 filters)
• · Comprehensive channel source table (Organic, Paid web/app/TV, Social, Referral, Direct, Email)
• · Dark traffic research table (WhatsApp 100%, Facebook Messenger 75%, Instagram DMs 30%, LinkedIn 14%, Pinterest 12%)
• · Mitigation actions: UTM parameters, block internal IPs, segment direct traffic
• · Attribution workflow for channel optimization (optimize ads, optimize growth channels, multi-touch attribution)