Filtering Email Bot Activities

Hello everyone. I’m Shrikant Reddy, a Product Manager here at Adobe. Let’s talk about filtering of Email Bot Activity feature. After the first release, we have got a great adoption and a lot of feedback. Addressing some of the important feedback, we have made some interesting updates. So far, you had an option to enable Email Bot Filtering feature, which checks every email, opens and clicks, identifies the activities that are triggered by bots based on an IAB list. These activities that are identified as bots, will not be logging into marketer. Now, we have added an option to choose whether you would like to have these bot activities logged into your marketer subscription or not. By clicking on this first toggle, you will be enabling bot activity identification. If you wish to have these activities by bots also logged into your marketer subscription, simply enable this toggle switch, log bot activities. Once you enable these two toggles, you will have all activities irrespective of bot or humans will be logged into your marketer subscription. Activities that we identify as bots will be marked as bots. Let me show you how. So against the email link click and email opens activities, we have introduced two new attributes under email clicks and email open activity types. IsBotActivity, which is a Boolean type, this attribute will be updated as true if we identify a respective activity is by a bot and also populate the reason why we think this bot activity under BotActivity pattern attribute that you see here. Here is something more interesting. We have made these attributes as constraints under email open and email link click filters and triggers, which means now you have smart campaigns. You can use triggers and filters with these constraints and take actions by including or excluding engagement by bots. So here you can see this constraint isBotActivity, you have the value true or false. BotActivity pattern, you can choose which pattern that you want to include or exclude. Coming to the various patterns, this is another important feedback that we have received. We have introduced more sophisticated patterns to identify bot activities. Those are hidden link, user agent or IP, and proximity pattern. With hidden link, user agent or IP, we will add a hidden link to all emails sent from Marketer and capture the IPs and user agents from clicks that we receive from these hidden links. From now on, if an activity that we receive matches with any of the user agents or IP from this list, will be marked as bots and the reason will be updated as match with hidden link, user agent or IP. Coming to proximity pattern, if two or more clicks or opens from an email that is specifically happens very close to each other, that is under two seconds, then those activities are also marked as bots. Respective reason will be updated as match with proximity pattern. Further, you’ll be able to see the total number of activities that are identified as bot against each pattern, and also the total number of bot activities identified together. Thank you.