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Vinay_Chauhan
Vinay_Chauhan
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  • Hi @SrikanthPo3  Thanks for sharing those details, this sounds like a classic timing issue between when the Adobe Client Data Layer (Data Pushed event) fires and when Launch finishes loading and starts listening for it. Since everything works in Incognito or with Dev Tools open, it's likely that in ...

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  • Hi @DineshRkumar  Adobe Analytics doesn’t offer a built-in way to automatically dedupe duplicate page view beacons, each server call is counted, even if identical. So the best approach is to identify and fix the root cause of the duplicate firing. I’d suggest starting by checking the implementation ...

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  • Hi @UjjwalChandra  Yep, you’re on the right track, updating Bot Rules through the CSV is actually pretty straightforward once you’ve done it once. Here’s a quick step-by-step to make it easier: Go to Admin > Report Suites in Adobe Analytics and select your report suite. Navigate to General > Bot R...

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  • Hi @user70977  A slight difference in pageviews and clicks across two report suites (especially if one is global and the other is a subset) can happen for a few reasons -   Even though both suites are meant to track the same pages, there could be slight differences in how tracking is deployed. For ...

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  • Hi @TonyHutnyk if the Login/Registration metrics stop at December 2024 even after selecting “This Year,” it likely means no relevant data has been collected since then. I would check the following - Are these metrics based on direct events (e.g., eventX = Login) or built using segments (e.g., visit...

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  • Hi @WilliamBr6  You are right, using RTCDP audience membership from the profile schema only reflects current audience status. Since it's not event-based, it doesn't retain historical data, so it's not possible to see who was in an audience at a specific point in time using that method alone. To enab...

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  • Hi @Viwuwei  similar to what @KumarRishii and @pradnya_balvir  mentioned,   A few things I would definitely check -  Make sure both online and offline data are using the same ID (like hashed email or CRM ID) and that formatting is consistent (no extra spaces, case mismatches, etc.). Double-check t...

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  • Hi @m_alcantara    You're absolutely right that a 1-day Marketing Channel Expiration doesn't do justice to how users actually engage with financial brands. In my experience working with FS clients, 30 days is generally a solid baseline, especially for products like credit cards, investments, or mort...

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  • Hi @Frankalytics  I totally get how time-consuming it can be to manually validate every dimension and metric. Here are some thoughts and best practices - 1. Start with a high-level comparison:Use core metrics like visits, unique visitors, and page views over identical date ranges in both AA and CJA....

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  • Hi @user70977  Yes, this is definitely doable in Adobe Analytics with a bit of smart segment setup. Here's how I would do it - 1) Timeframe -You will want to include a date range that covers both the livestream event and the days after (say, 7 days). So if your livestream was on July 1st, your table...

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