Channel-Based Attribution

Statnive automatically classifies every visit into one of eight channels: Direct, AI Assistants, Organic Search, Social Media, Email, Referral, Paid Search, and Paid Social. This classification uses an internal mapping of known domains (including LLM/AI assistant hosts such as ChatGPT, Claude, Perplexity, and Gemini) combined with UTM parameter detection.

The Sources Table

The Traffic Sources view presents a table with each channel as a row. Columns include:

• Channel — The classified traffic source.
• Visitors — Unique visitor count for that channel.
• Pageviews — Total pageviews from that channel.
• Revenue — Total revenue attributed to that channel. Available on WooCommerce sites in the Revenue Report (shipped in v1.0.0).
• RPV — Revenue Per Visitor. Available on WooCommerce sites in the Revenue Report (shipped in v1.0.0).

The dual-bar visualization shows visitor count and session count side by side with different colors, making it easy to spot channels that bring traffic but not buyers.

Drill-Down View

Click any channel row to expand it and see individual referrer domains. For example, expanding “Social Media” shows visits from facebook.com, twitter.com, linkedin.com, and others. This drill-down lets you identify which specific platforms within a channel are performing best.

UTM Parameter Support

Statnive reads standard UTM parameters (utm_source, utm_medium, utm_campaign, utm_content, utm_term) from incoming URLs. When UTM parameters are present, they take precedence over referrer-based classification. This gives you precise control over how campaign traffic is categorized.