It’s no secret that driving traffic to your site is a complex and costly process. Increase your revenue by selling more to existing customers!

When you first use a powerful marketing automation tool like edrone, you might be surprised to learn about the incredible variety of ways you suddenly have to engage with customers.

Third-party cookies are on the way out, and that might seem like good news for anyone concerned about online privacy. But personalized online ads aren’t going anywhere. So what will replace third-party cookies? Meet the main contenders.

Without established authentication protocols, your brand’s communication is much easier to forge, exposing you and your customers to hacking and phishing attacks.

When it comes to processing natural language and developing smart voice assistants for eCommerce, sooner or later, you will encounter the term Inter-Annotator Agreement. Such an agreement is critical for the illusion of understanding words by a machine.

As the digital landscape continues to evolve, companies must be focused on increasing customer lifetime value (CLV) by looking at the entire customer lifecycle to identify the opportunities that Marketing Automation (MA) offers.

Indeed, we live in interesting times in terms of how much has changed in digital marketing and eCommerce. One example of this is that we are expecting very soon an entire embargo on cookie stored data, referred to as third party cookies.

Are you creating attractive content but not getting the email deliverability or open rates you want? We’re here to help! Follow these 18 tips to make sure your emails will actually reach your customers’ inboxes.

Facebook stuck out from the other giants, commonly referred to as the “big four” in terms of voice solutions. It’s a euphemism anyway because not everyone is aware that Facebook has devices with a voice interface at all.

At edrone, we collect tons of data. There is information about the order value among this data, and as you probably assume, there are lots of random values there. But in fact they aren’t entirely random.

The difference between probabilistic output vectors and target vectors is crucial for the network to learn. How can you measure this difference? What does the learning process look like? How do we indicate when our model is smart enough?

An AI application asks the user what product category he is interested in (i.e. women/men/kids) and displays this category’s bestsellers. Then, with each user’s on-site activity, the machine knows his expectations and displays customized offers.