Track chatbots using Adobe Analytics

According to some news, all major Internet players are now focusing on chatbots. I have never used one but it looks like with the progress in artificial intelligence, we will all be using them in the not-so-distant future. Facebook even claims that thousands of developers are creating right now chatbots. If this is true, then we should be ready for them.

While I read this news, I thought, how about using Adobe Analytics to track the conversations? Would it make sense to large corporations, which already have Adobe Analytics, to use the same tool as with website and apps? I know some people will contend that my idea is wrong, that chatbots will need a different reporting tool. However, I would then reply that, a few years ago, it was not clear whether Adobe Analytics would be used for apps; now, all my clients, want to integrate Adobe’s SDK in all their apps.

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First visit targeting

If you are working with a DMP like Adobe Audience Manager, I am sure you have come across the following problem: you want to target your visitors on site, immediately after they log in, using on-boarded data, even on the first visit. This last statement is, precisely, where the problem is. The way AAM processes on-boarded data is as follows:

  1. You upload your CRM data to AAM, either to an SFTP location or an S3 bucket
  2. Every 12h, AAM reads all on-boarded data and processes it, converting the signals into traits
  3. The traits are stored in the core servers
  4. A visitor logs in for the first time
  5. Since the communication between the browser and AAM is done through the edge servers, these servers have at this moment in time no on-boarded information for that visitor
  6. The edge servers where this visitor activity has happened, request the on-boarded traits to the core servers
  7. In a batch process, core servers send to the edge server the visitor’s on-boarded information

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