Hi @VilaphonSo1  If “Day” is showing in Adobe Analytics but not appearing in Power BI, there are a few things to check: Naming Differences: The label used in Adobe’s UI doesn’t always match what appears in Power BI via the Analytics connector. Try searching for terms like “date”, “time”, or “day of...

@Jennifer_Dungan's reply below is spot on. Just to add, manually importing new classifications shouldn’t break your existing data source automation as long as you’re not overwriting the current classification keys or structure. Adobe’s classification system is pretty forgiving when it comes to addin...

Hi @Sreeji_LalThere’s no strict benchmark published by Adobe, but from experience, a discrepancy of around 10–20% between Adobe Campaign and Adobe Analytics is generally considered normal.   This gap happens because Campaign tracks the click the moment a user interacts with the email, even if the we...

Hi @DebanjanaBh1  Yes, this approach can be adapted for your use case, to detect if a specific script like Target is being blocked, without impacting Adobe Analytics itself. Since you're using Web SDK, you won’t see a standalone 'target.js' file like in older implementations. Target is now delivered...

That error usually means the report suite you’re using for the app doesn’t have all the required A4T components enabled, especially the classifications like activity name, experience, offer, etc. You might want to double-check that the report suite selected for the mobile app is A4T-enabled. Just be...

The 429 "Too Many Requests" error usually means your org is hitting Adobe's API rate limits and it might not just be from your script alone. Even if your script is only making calls every few seconds, it’s worth checking: If any retry logic or hidden loops are unintentionally sending more requests ...

You're right, _satellite.track() is just used to manually trigger a rule by name. It doesn’t care whether the rule sends data via AppMeasurement or the Web SDK. So if you're already using_satellite.track("video_25"), and that rule fires a Beacon with AppMeasurement, you just need to update the actio...

From what I understand, it’s partially tied to Chrome’s User-Agent Reduction initiative, which has been phasing out granular device details over time. That seems to impact what Adobe can pick up, especially for Android users coming through Chrome.   One thing worth checking is whether Client Hints a...

If you're trying to measure traffic influenced by AI platforms (like ChatGPT or Perplexity), the easiest starting point is to use Referrer Domain in your reports. Look for domains like chat.openai.com, chatgpt.com, or perplexity.ai. These will show up when a user clicks a link from an AI-generated r...

This is a really good use case for combining anomaly detection with IP-based tracking.   If you're already capturing IP addresses in eVar1, one option is to build a freeform table with Application Start as the metric and eVar1 (IP) as the dimension. Then enable Anomaly Detection on that metric, Adob...