← ClaudeAtlas

ref-sp-web-marketinglisted

Measure web marketing honestly: why 'Direct' is a bucket of lost origins rather than a channel, how dark social destroys referrer data, when a conversion difference is noise rather than signal, and how to recover attribution you cannot track. Use when: reading a traffic, channel, or conversion report; asked which channel is working or where to spend budget; asked why Direct traffic is so high; interpreting a conversion-rate change, a campaign result, or a traffic spike; setting up UTM tags or self-reported attribution; analyzing analytics from Google Analytics, Wix, Shopify, or similar; or judging whether a marketing claim is supported by the data behind it.
swiftpostlabs/agentic-tools · ★ 0 · AI & Automation · score 73
Install: claude install-skill swiftpostlabs/agentic-tools
# Web Marketing Measurement ## Purpose Read marketing and conversion data without lying to yourself. Most bad marketing decisions are not failures of strategy — they are confident conclusions drawn from data that could not support them. This skill is about knowing which conclusions the data can actually carry. ## When to use this skill - Reading a traffic, channel, or conversion report. - Asked "which channel is working" or "where should we spend." - Interpreting a conversion-rate change, a campaign result, or a traffic spike. - Analyzing analytics exports from Google Analytics, Wix, Shopify, or similar. - Sanity-checking a marketing claim, a dashboard, or an agency's report. ## "Direct" is not a channel Analytics shows a row called Direct. It is not a traffic source — it is the bucket for every visit whose origin was **lost**. A visit lands there when the referrer is missing, which happens when a link is shared in a messenger or DM ("dark social"), opened from a native app, an email client, or a PDF, pasted into a note or a ticket, stripped by a privacy setting — or, sometimes, genuinely typed from memory. **This is measured, not assumed.** A SparkToro controlled experiment (16 tracking URLs, 11 networks, ~100 participants, 1,113 visits) found how much referrer data each network destroys: | Source | Visits arriving with no referrer, logged as Direct | | --- | --- | | TikTok, Slack, Discord, Mastodon, WhatsApp | **100%** | | Facebook Messenger | 75% | | Instagram DMs