This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Affiliate marketing and online advertising as a whole help generate billions of dollars in revenue, but the digital ecosystem is fragile. Every week, we review one of the top fraud protection platforms available for players in the affiliate marketing industry.
Many call analytics platforms use a variety of natural language processing (NLP) and machine-learning algorithms to automatically assess calls and score leads. To that end, call analytics platform vendors continue to expand their connectivity with social media, Google and Bing, analytics tools, affiliate marketers and digital agencies.
Advertisers, publishers, and networks face a huge number of hurdles in the affiliate marketing ecosystem. In addition to keeping up with new technologies and all the pertinent compliance guidelines, all stakeholders in the affiliate world need to ensure that the conversion and leads generated come from legitimate users.
We understand the importance of creating a safe ecosystem for publishers, advertisers, ad networks , affiliate networks , and other members. This ad fraud detection tool is powered by machinelearning, so the algorithms learn from each interaction and make improvements to themselves without the need for manual upgrades.
The new layoffs impact product managers, data scientists and engineers working on machinelearning and site reliability, according to the NYT. This marks the latest round of job cuts at the company that has already lost 80 percent of staff since Elon Musk’s takeover in October 2022.
Intelligent lead qualification, scoring and routing systems use machinelearning to optimally route calls based on caller source, geography, demographics or intent. Many platforms use natural language processing (NLP) and machine-learning algorithms to automatically qualify calls and score leads.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content