An AI post written mostly by AI. How meta!
I try to compose a blog post of roughly 700 to 1000 words every week. It takes me anywhere from half a day to almost two days to complete, depending on the complexity of the topic, as well as my personal level of familiarity. The article below was entirely generated in under four minutes using a service called AIWriter (ai-writer.net). The only human input I provided was the headline: “Using AI for marketing creative.” We have done some formatting, like making certain lines bold, so they could be used as a subhead, and taken out a few carriage returns to make the paragraphs look more normal. How did the AI do? Well, I’ll save my comments for the end. Let’s collectively take the red pill and see what the AI created for us.
Using Ai For Marketing Creative
#machine learning #marketing world #time resources #cognitive computing #new ways #digital literacy #higher level
It follows that ai would find his way into the marketing world.
Marketing experts agree that AI will have a significant impact on the marketing world in the coming years. 1 At present, many organizations claim to be helping marketing professionals with their tasks, from capturing insights from dashboards to automating ad network spending. 13
Ai attracts a lot of attention from many different industries, and marketing is no exception. There’s a lot of talk about how AI can help companies make their marketing efforts more efficient. When it comes to AI in marketing, the focus is usually on how AI can effectively process big data to make predictions, save marketing professionals time on repetitive tasks, or draw conclusions from large amounts of data. 35
Ai marketing tools are based on analyzing large amounts of historical records to determine which ads are best for which users. 28 Large datasets contain thousands of variables that have been collected over time so that a marketer can not draw conclusions in the same way that a machine learning model can. 28
You can also use the artificial intelligence for ad targeting to identify the most effective stage of the customer buying process and apply your knowledge the next time you run a campaign. 28 Ai can analyze huge amounts of data through online advertising and then create ad copy and creative designs based on the best-performing predictions. 1 It can gather data about how consumers interact with advertising, and then use that insight to optimize your campaigns for better performance. 1 And AI can respond to data from consumers and other buyers of ads to significantly streamline and optimize your advertising spend and strategies. 1
Read on to learn about some of the key AI use cases in advertising.
Machine learning lets you process the data from previous ads and perform predictive analytics on new creatives to determine which motives yield the best returns. 33 Even creating creatives becomes more efficient. 33 Creative remains an area of marketing that can be supported, but not replaced by AI. 33 In addition, marketing professionals have now spent more time expanding the boundaries of creativity for their marketing campaigns. 29They can use AI and machine learning to create new ideas, create new media platforms, find new ways to tell brand stories, and so on. The challenge for marketers will be to have a higher level of digital literacy and a clear understanding of AI and machine learning than is currently the case. 29 Finally, more time resources for marketing professionals can be spent on the creative side of marketing. 9
In fact, digital literacy will continue to be in demand, and the future workforce (not just in marketing) needs a higher level of digital literacy than the current workforce. 9 The most interesting way for an AI to shape the future of marketing is to give us more time to focus on decisions that require human input, creative thinking, and building meaningful and deeper relationships with customers 9 It gives them the freedom to focus on content, creativity and strategy to enable these personalized customer interactions. 3
AIM solutions provide the tools marketers need to deliver increasingly relevant and personalized content at the right time for higher conversion rates. Here are three ways in which marketers can use AI to deliver highly personalized experiences today. 3
Ai tools are useful in analyzing mass data records to gain insight into potential and existing customers.
The technology helps personalize campaigns and content, taking the user experience to a whole new level. It automates many tasks from content research through competitive intelligence, SEO to paid campaigns. It takes a lot of effort to track competitors’ content across a variety of social media platforms. Crayon uses artificial intelligence to analyze the competition across many online channels. The tool consolidates competitive data into a single dashboard and helps marketing professionals make quick strategic decisions. It includes daily e-mail summaries to keep marketers up to date with the latest industry updates. 12
Predictivebid is a bidding software that claims to be able to market potential new leads on the Amazon and Google Networks. The more people click on a marketing creative, the more PredictiveBid learns which attributes of the creative are best for generating the click. PredictiveBid claims that its software determines the likely driving factor behind the click and then applies that knowledge to future ads to increase revenue. We could not find a demonstration video for the software, nor did we find explicit case studies demonstrating the software’s success. 13
Exceed.ai uses ai technology to simplify lead qualification and help marketing teams qualify leads and accelerate the sales process. The tool acts as a virtual sales assistant, helping to automate email communication and personalize the chat. It addresses potential customers and understands their product needs before a human sales representative can continue the conversation.Exceed.ai tries to replicate human conversations in order to give potential customers a natural experience. 12
Ai and machine learning through complex systems, advanced analytics and cognitive computing.
Many service providers are already integrating AI components and cognitive computing into their turnkey solutions to help companies make faster and more accurate marketing decisions. Many companies use AI beyond marketing to drive innovation and drive their industries forward. For example, CureMetrix, one of the startups, uses artificial intelligence algorithms to help hospitals care for their patients. 19
Okay, back to me, the human.
I have to say, the writing was surprisingly coherent and informative, albeit, lacking personality or any real narrative point of view. Ironically, it also seems unsure when or how to capitalize “AI.” The site that generated the article, ai-writer.net, presents the amalgamated text in a dashboard that provides information on where they source their information (see “Cited Sources” below), plus a view highlighting bits of that text, which the system lifted verbatim from those sources.
Is it good? It depends on your audience.
Subjectively, creatively, it’s not great. Would I use its output (after today) to serve as finished thought leadership? No. But it does in under four minutes the same type of research I would have to set aside a few hours to accomplish when beginning to investigate the consensus wisdom on a topic, such as AI or content marketing. And, in the end, it provides a fairly decent executive summary. That alone might save me a day’s work when diving deep into a complex topic. The more relevant question—one to which I have no answer today—is does the Google search algorithm think it’s good? If the purpose of your content is purely to improve your ranking for search terms, then it might be “good,” or at least “good enough.”
So, have we reached peak content?
In my humble opinion, if we haven’t reached peak content (I might also say “peak search noise”) yet, we can certainly see it coming over the horizon. We will be tracking the organic SEO strength of this post relative to our more bespoke content. So, stay tuned!