@Beth_Massura, @ajay_sarpal5 How can I identify spam traps in our database? And once identified, what should we do with them?
Hi @BBenemelis there are a couple types of spam traps. Some were email addresses that were previously used by real people, but were deactivated due to inactivity. They are sometimes repurposed as spam traps to identify senders with poor database management practices. One way to identify them is finding records that had no activity and/or bounced continuously for a long time, then all of a sudden started accepting emails again. However, it's better to be proactive about removing inactive, unengaged records to avoid being "dinged" by sending to them once they've been converted to spam traps.
Another type of spam trap was never used by real people and was created solely as a spam trap. The way these might enter the database is through list purchases and otherwise questionable acquisition practices. (Please review your Marketo contract as there are terms relating to list purchases!) These usually have a greater impact, such as putting the sending IP on a block list such as Spamhaus. You often will get a notice from Marketo that you need to take immediate action, since this affects other Marketo customers' sending. You will need to try to identify and delete the record as part of the remediation process, and you may need to delete multiple possible records if it isn't clear which one is the spam trap.
The email deliverability power pack that was offered by Marketo (now Everest by Validity) provided some additional insights into which email campaigns sends hit spam traps, and that can help narrow down possible spam trap records.
@Beth_Massura, @ajay_sarpal5) Do you know of any lower cost email deliverability platforms we can use for this? We are a nonprofit and the deliverability power pack is too expensive for us.
Thank you!
Hi
@Beth_Massura and @Ajay_Sarpal5 we came across certain bot activities in our recent email send, we saw that there were continuous clicks on each and every link of our email within few seconds, we assumed it was bot clicks and later we saw genuine clicks on specific links in our email after few mins we assumed it was human clicks as the clicks were only on specific links where person visited page and filled out form, in this case how can we analyze human vs bot clicks, is there any strategy in marketo to segregate human vs bot clicks. Also please help us with setting up reports for genuine clicks and opens. what strategies might help us to get accurate reports in clicks and opens
Hi @Swethanraj,
This is similar to another question on this thread; see our reply for suggested approaches!
We recently had what seems like a random influx of "bot" activity suspected to be email provider security settings to check links. How can we identify these vs real humans?
Hi @katiesharp ,
We offered some suggestions in response to a similar question; please check out our reply there!
We have a concern of junk data based on our email metrics lately and suspect some might be due to spam traps. How can we best identify these and weed out?
Hello @Beth_Massura, @ajay_sarpal5!
What (if anything) can be done to strengthen integrated reCAPTCHA v3 within Marketo forms? I'm noticing a lot of form fills that I suspect are bots, but they are receiving a 0.9 (Trusted) V3 score. Is there anything I can add to improve the evaluation accuracy of these form fills? Or is there a reliable secondary evaluation I can implement?
Thank you!