Digital Marketing

If you have recently seen the news that Possibility of recession has attracted the attention of everyone.

It feels as if companies started talking about AI not too long ago in their business activities. They had highly specific use cases or industry needs, but the comprehensive proclamations of “artificial intelligence will build up the business as we know it”, only now feel particularly urgent. I blinked and everything was chatt. Blink again

I am with the Morning Brew in 2015. Since then, the content landscape has turned into an even more competitive arena. The costs for the paid acquisition have been raised. The content differentiation is more difficult than ever, especially if AI can write generic contributions in seconds.

I tested AI tools for the first time in 2019 to automate repeating parts of my workflow. It seemed the perfect solution to be: let the code run the manual material for which I was too bored. However, I quickly discovered hidden costs for everything I did. My automation script needed a server to continue

I have been in content marketing for about eight years and will tell you this golden nugget of truth for free: you cannot cheat your way to success in this game. And this applies in particular to marketing on a visual platform like Instagram. In my experience, it requires commitment, consistency and hard work to

Ethan Mollick, Professor of Management at the Wharton Business School, has a simple yardstick for the pursuit of the progress of the image generation functions of AI: ”Otter in a level with WLAN. “” Mollick uses this prompt to create pictures of … an otter with Wi-Fi in a plane. Here is his results from

The preferences of customer communication vary strongly in today’s digital landscape. Some may want to go to the target page of a company, initiate a conversation with a chatbot or even pick up the phone to learn more about a service or a product.

When threads were started in July 2023, it made headlines for BREAK recorde-100 million registrations in less than five days and was quickly referred to as “Twitter killer”. But within weeks the use was strong. Headlines followed and warned that threads already lost steam.