TikTok 广告
TikTok Attribution Analytics
分析广告的多触点归因路径，理解 TikTok 广告在用户购买旅程中的真实贡献。
主要用途
TikTok Attribution Analytics is the reporting area inside TikTok Ads Manager where you study what happens after someone clicks or views an ad. It lets you switch between supported click-through and view-through windows — for example seven-day click versus one-day view — and watch how reported conversions and ROAS shift as those credit rules change. Time-to-conversion charts reveal how long buyers take to act, which matters for products with longer consideration cycles. The tool is for interpreting platform-reported results, not for proving causality: TikTok counts conversions it can match to its own ads, so the figures usually differ from analytics platforms and backend revenue. Use it to choose realistic windows and reconcile reports across sources.
所在链路
Attribution Analytics sits at the analytics stage, shaping how you read TikTok's self-reported results before feeding them into cross-channel measurement.
核心功能
- Switchable click-through and view-through attribution windows
- Side-by-side comparison of how window changes affect reported conversions
- Time-to-conversion and conversion-delay distributions
- Breakdowns by campaign, ad group, and conversion event
- Inputs for reconciling TikTok numbers against analytics and backend data
适合谁用
- Advertisers choosing realistic attribution windows for their sales cycle
- Analysts reconciling TikTok-reported conversions with other sources
- Teams interpreting delayed or view-through purchases
新手提示
- Platform attribution is self-reported; treat TikTok's conversion counts as one input, not ground truth, and compare against GA4 and backend revenue.
- Longer windows credit more conversions to TikTok and can flatter ROAS; pick a window matching your real buying cycle and keep it consistent.
- View-through conversions are the least certain signal; separate them from click-through before making budget decisions.