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Available metrics
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Authorize TikTok Ads in Catchr and select the advertiser accounts. In Catchr’s Power BI query builder, select campaign and ad-group performance before adding creative detail and preview a short extraction. Import the generated URL through Get data > Web in Power BI Desktop. Check the returned rows before building measures, keeping advertiser, campaign grain and conversion definitions clear in the model.
Yes. Catchr includes video identifiers and average-watch-time metrics alongside advertising performance. Compare creatives using a consistent video metric and campaign objective. A long average watch time does not by itself show whether the ad drove destination clicks or purchases.
View metrics apply different thresholds and rules. A playback, a two-second view and a focused view are not interchangeable counts. Use the exact metric name in the dashboard and compare the same definition across periods rather than labeling every measure simply as views.
Check the attribution windows and whether the report includes click-through, view-through or engaged-view credit. Also align the event definition, timezone and dates. TikTok recommends consistent attribution settings with an MMP to reduce discrepancies, but separate measurement systems can still produce different results.
Catchr's TikTok catalog includes Clicks (destination), along with other interaction-specific fields. Use destination clicks when evaluating traffic sent away from the ad. Compare them with website sessions as related measures, not identical counts, because page loading and analytics collection affect the session total.
Yes. Add TikTok Shop to view commerce outcomes alongside advertising. Distinguish orders and revenue recorded by the shop from conversions credited to ads. Align the period and currency before calculating a business-level return.
No. Catchr exposes separate website and app outcome fields, including attribution-specific app measures. Use the metric that matches the destination and conversion setup of the campaign. Combining these indiscriminately can obscure which customer journey produced the result and can introduce overlapping counts.
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