jigneshb7072369

[Adobe Campaign] Proximity Marketing using iBeacon/Beacon - Adobe Campaign Standard 15-11-2018

How does the proximity marketing work from a technical standpoint using Beacons and Adobe Campaign? Any technical articles would really help

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Re: Cookie Matching Services - Adobe Audience Manager 29-10-2018

Agreed. How do you tie these first party data (in this case analytics) with a 3rd party data signals (e.g. derived from any partner in audience marketplace) for more refined targeting and segmentation? Is this the way as pointed by article https://marketing.adobe.com/resources/help/en_US/mcvid/mcvid-match-rates.html ?

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Cookie Matching Services - Adobe Audience Manager 27-10-2018

I need to understand how to personalize content shown to a visitor based on his first or repeat visit to their website. Since, we don't know the visitor's identity, I think all we have at this point in time is the visitor's IP address on the server and 1st party cookie storing the online behavior of visitorCan we match this IP address or 1st party cookie to maybe a third party data provider's cookies and extract demographic and behavioral information about that visitor and segment them in a DMP?...

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Re: Profile Merge Rules - Total Person - Adobe Audience Manager 29-08-2018

Thanks Harish! Can you please tell me how do I export the data source? Are you trying to say exporting the segment which has this CD data source to a cookie destination? or anything else?And, you are right...there are 4 users in WP, 1 is the WP admin role and rest (3) are with roles (customer)...i assume the id sync is capturing the admin id as well, but then how its showing as 5 is the qtn?

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Profile Merge Rules - Total Person - Adobe Audience Manager 15-08-2018

In Profile Merge Rules screen (Rule set as: - CAP + PMDG), can we see the authenticated IDs of users and device IDs (aam_uuid for browsers) stored in the Cross Dev data source? I am seeing a discrepancy in the UI - its a WordPress site which has only 4 registered users who can login (as seen in WP admin console), so it should be just 4 who have deterministically displayed their identity on web. Instead AAM UI shows 5, unsure how 1 additional to the count. Ditto for the Total Devices, i noted tha...

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Re: Fetch AAM audiences in Twitter - Adobe Audience Manager 03-08-2018

Hi mandeepkang1981,This can be a starting point Tailored Audiences that lists 3 different methods to ingest audience data into Twitter for ad targeting. First is ofcourse based on PII data (email/phone# from offline sources, etc.) ingestion into Twitter's interface and Twitter matches (email -> Twitter handle) internally. Rest are online/behavioral based on web and mobile app tracking. Hope this helps!

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Re: Adobe Audience Manager Virtual Meetup - July - Adobe Audience Manager 02-08-2018

hey Gaurang MathurIs there a recording available for this?

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Re: Trait to Trait Overlap Report - First to Third Party Traits - Adobe Audience Manager 18-07-2018

Hi GlennYou definitely have a feature within AAM's trait-2-trait overlap report to discover unique visitors between your 1st and 3rd party traits. However, there's a minimum threshold required as mentioned in Data Sampling and Error Rates in Selected Audience Manager Reports for these to surface up in the reports UITraits: 28,000 over a 14-day period.Segments: 70,000 real-time users over a 14-day period.Thanks,Jignesh

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Ingesting signals from chat/voice assistants in AAM - Adobe Audience Manager 16-07-2018

With the increased usage and adoption of chat and voice assistants (e.g. Amazon Alexa, Google Home, Microsoft Cortana, Apple Siri) by consumers, it has become imperative for marketers to catch consumer intent and insights from these new age channels and use it for personalized and relevant targeting. For example, a consumer can interact with Alexa by stating in simple English or any other regional language "I am looking for buying a high end camera. Can you suggest some good options?"If we try t...

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Re: Create an “exclude” data source for Algorithmic (lookalike) modeling? - Adobe Audience Manager 10-07-2018

Hi Pritam,A follow up question on the notion of common vs rare traits mentioned in the documentation - does one get to see a list of rare traits that separate the line between the common audiences (common traits) and the specific audiences (rare or very specific traits) ? The audiences from lets say a 3rd party data source who match the original set (from frequency standpoint) will get a better score for accuracy (and less reach) whereas who don't match will get an average or low accuracy score ...

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