Artificial intelligence is in almost every part of our lives in one format or another and one area where the future looks incredibly bright is in digital marketing. It can be used to solve a multitude of problems faced by digital marketers, providing invaluable insights by bringing all your data together in one place.
How AI Can Boost Digital Marketing
These are some of the ways that AI can give digital marketing a new lease of life:
Predicting Customer Behavior
Propensity models and other statistical scorecards can be used to identify prospects most likely to respond to contact or offers. This is crucial for those who use AdWords, as it can help define campaign objectives and target audience.
The tool can also recommend strategies you can use to achieve your goals.
Predictive analysis can also help digital marketers to gain information for the purpose of predicting patterns and trends, analyzing huge volumes of data in an incredibly short time. And this is something that is really not possible without the use of AI.
Use AMP to Reduce Load Time
You may be familiar with AMP, also known as Accelerated Mobile Pages. This ensures that your content shows up in the most strategic places, such as News Carousel, increasing the chance of you reaching the top three Google search results.
A Personalized User Experience
Use of AI means that data point analysis is much easier. Personalized offers and content can be shown to each of your prospects through the analysis of their device, location, demographics, previous integration, and so on. Plus, email marketing can be automated and push notifications sent regularly to prospects based on that analysis.
New Marketing Opportunities
Machine learning is powerful, analyzing vast amounts of data in very short timescales. It can analyze activity and search queries across millions of different websites to work out when a customer may be closing to pressing the Purchase button, resulting in you being able to target them with personalized ads.
Scaled-Up Content Marketing
AI is incredibly useful for content focused on data, such as sports matches, quarterly financial reports, market data and so on. Right now, there is just one AI platform for the creation of enterprise content, and it is called Acrolinx. A power tool in the AI toolbox, Acrolinx is already widely used by Microsoft, IBM, Facebook, Caterpillar, and Nestle, among other big brands, to create content.
AI Applications for Digital Marketing
Not so long back, marketers showed no interest in integrating AI with their digital strategies. But that has all changed. With more results being produced from AI models, marketers now have the confidence they need to use it. And, indeed, the following factors have now been identified as being revolutionary in the future of digital marketing:
Creating and Generating Content
While AI can’t actually write or create blog posts on the best ways to attract sales, some AI-generated content can be useful in some areas and can help attract traffic to websites. For example, AI-generated news and reports based on existing information and data can be used, reducing the amount of time humans need to spend on the process. There are tools such as Quill, Articoolo, and Wordsmith, used by Forbes and the Associated Press for the purpose of creating news articles. And those articles generate clicks on their websites.
The way we search for online content has changed. And this has led to marketers needing to create better websites, optimized for online searching. Two major AI advancements have been made in this area, namely search engine optimization and revolutionized online searches. Other advances include RankBrain, the Google algorithm, and voice search.
Marketers have one main job: To produce content of a high-quality. This is the way you bring in your readers and gain plus points from Google. AI can help with predictive analysis by analyzing data to predict what readers want to see.
Use of Chatbots
Chatbots are an excellent way of automating responses, especially to frequently asked questions. They can provide customers with guidance, with a useful way of searching for whatever they want and they can answer open questions. Chatbots use NLP (natural language processing), together with machine learning to produce the right responses.
If you don’t have a website designer or a programmer, you can use Grid. A program that makes use of AI, Grid uses information you provide, such as calls to action, images, text, and more, to produce affordable, professional-looking websites.
Last but by no means least, digital advertising is the number one area for AI adoption. As an example, take the Google Ads platform. It uses AI and machine learning to find those who are most likely to do what the advertiser wants them to do. And this is done through analysis of the user data, such as what they like, their location and demographics to learn who the best prospects are.
At the end of the day, AI can benefit digital marketing in multiple ways. It is efficient, it can save time and money, there is less chance of errors, and it can pave way for some real breakthroughs for marketers everywhere.