The Beginning Of The End For Ad Fraud: machine-learning technologies can actually identify fraudulent patterns and avoid them
Ad fraud is one of the primary reasons why some marketers are hesitant to try out programmatic campaigns. But fraud started causing marketers headaches long before programmatic advertising came around. Some estimates cite more than one-third of ad traffic as fraudulent, and not many industries would stand for a 66 percent success rate.
The good news is that machine-learning technologies can actually identify fraudulent patterns and avoid them. Marketers that have a better understanding of what leads are converting into sales can teach the machine where low-quality leads are coming from and make adjustments on where the focus should be.
Going through this process manually would not only be time-consuming, but also cost prohibitive. And those engaging in fraudulent activities are constantly finding new ways to make money, but keeping the focus on lead quality will quickly filter out these schemes.
Read the complete text direct at marketingland/primer-programmatic-advertising
"Regarding our nTegrity traffic quality tool, as of January 1, 100% of our feed business was filtered through nTegrity and we began scaling traffic in an effort to steadily rebuild revenue. nTegrity provides the incremental benefit of adding network feed audience, search intent data to our audience pool enhancing the value we provide to advertisers in our programmatic efforts."
Source. Read the complete transcript of the Conference Call direct at Seeking Alph
Ad fraud is one of the primary reasons why some marketers are hesitant to try out programmatic campaigns. But fraud started causing marketers headaches long before programmatic advertising came around. Some estimates cite more than one-third of ad traffic as fraudulent, and not many industries would stand for a 66 percent success rate.
The good news is that machine-learning technologies can actually identify fraudulent patterns and avoid them. Marketers that have a better understanding of what leads are converting into sales can teach the machine where low-quality leads are coming from and make adjustments on where the focus should be.
Going through this process manually would not only be time-consuming, but also cost prohibitive. And those engaging in fraudulent activities are constantly finding new ways to make money, but keeping the focus on lead quality will quickly filter out these schemes.
Read the complete text direct at marketingland/primer-programmatic-advertising
"Regarding our nTegrity traffic quality tool, as of January 1, 100% of our feed business was filtered through nTegrity and we began scaling traffic in an effort to steadily rebuild revenue. nTegrity provides the incremental benefit of adding network feed audience, search intent data to our audience pool enhancing the value we provide to advertisers in our programmatic efforts."
Source. Read the complete transcript of the Conference Call direct at Seeking Alph