Thursday 01st June 2023 How a world of infinite data impact digital and search marketing The idea of ‘infinite data’ refers to the seemingly endless amount of information available to people in the digital age – with new sources and applications emerging daily. Some of the sources of infinite data include:
Social media platforms
Internet of Things (IoT) devices The exponential growth of this data can overwhelm digital marketers, making it challenging to manage and difficult to make sense of this data to stay on top of industry news and trends.
Google changes .ai to a top level domain Google search now considers any domain that ends in .ai to be a top level domain, such as .com, .org, .net, .gov. This means that .ai domains will no longer be geo-specified to Anguilla.
Index these links:
New AI powered marketing technology Regardless of your opinion on the use of AI in digital marketing, it is quite clear that the tech is here to stay. Businesses are adapting their current tech to incorporate AI, particularly within their marketing tools and technology. This helpful list of tech updates by MarTech gives you an insight into the more recent technological adaptations to incorporate AI in marketing.
Google ads feature updates Google Ads have updated their platform to include two new features.
A simple, yet satisfying, new feature is the settings cog appearing when you hover over a campaign name. This allows to you view and edit the settings for specific campaigns quickly. Google have added ‘Campaign-level text assets’, which are headlines and descriptions you can associated with a campaign, and then apply them to all Responsive Search Ads (RSAs) in that campaign. These assets can both save you time and improve performance. Friday 02nd June 2023 How accurate is generative AI for marketing? The introduction of ChatGPT has boosted the popularity of using AI in digital marketing – but how accurate is this tool? MarTech recently did some tests, using ChatGPT to create marketing collateral where AI is regularly used. Here is what they found:
For FAQs, they found that ChatGPT produced answers that were only correct 29% of the time. Additionally, for 19% of the questions, they were only ‘semi-correct’, where ChatGPT misinterpreted the question, or provided a different answer to what was asked. This demonstrates the need for human-input in creating any marketing content, to ensure information is factually correct.