Auto-target / auto-personalisation experts! Can you please help!!
We recently started running an AP on a brand website, where our visitors are not mostly not authenticated (anonymous). After 15 days of ML training period, we got a list of ML segments, but majority of segments were based on browser, user OS, screen size, etc. We do not believe those would have had impact on the way visitors responded or not responded to half a dozen offers we put in mix.
Can you give me suggestions on how we can improve this. We are about to reset and restart this.
Also, on the blacklisting process, if you have experience using it, can you share your learnings?
Thanks everyone for your help!
This is a great question. Using Automated-Personalization/Auto-Target is powerful, but can certainly take some tuning and adjusting to get right. I like to frame the setup of these ML/AI activities like so:
If you have AAM and have A4T and Shared Audiences setup then AAM segments should automatically get evaluated by Targets ML/AI models. Also, to your point you do at times need to black list certain items that you may know shouldn't be helpful for modeling. That can be requested via a client care ticket currently. Send them the attribute you wish to blacklist and your Target account client code. They can do it at an account for activity level. I usually find the account level most helpful as they tend to apply to other activities too.
Lastly, in some rare cases Target's ML/AI may not work very well. This might be true for a page that has a large percentage of first-time visitors hitting it. Since those visitors have really shallow profiles, Target models consequently have much less to go off of to determine what experience/offer they might best respond too.
Hope that helps,
Depending on how many products you have in the ecosystem you can define segments
1) you can define in AT(adobe target)
2) you can define in AA(adobe analytics)
3) you can define in AL (audience library)