Recent data captured from The sixth edition of the State of Marketing report* by Salesforce found that high-performing marketing teams are likely to use AI in their campaigns. The use of AI tech in marketing has increased by 29% in comparison to report findings from 2018. Let’s take a look at how marketers can be high-performers leveraging AI tech.


Let’s take a look at how marketers can be high-performers leveraging AI tech.

AI Tech for Growth Marketers

Need personalised and engaging content. AI-based content recommendation tools select the next piece of content of interest to each user, based on their previous choice. It does this in real-time and it learns as the user continues to engage, getting more information about their preferences. This saves time and provides a more personalised and engaging experience for customers. View the infographic of AI tools.

Aim to offer personalised web experience and optimise CR (conversion rate). Delivering personalised user experience is a good example of how to optimise conversion rate. Intelligent algorithms can help personalise website experience by analysing hundreds of data points about a single user (including location, demographics, device, interaction with the website, etc.).

AI then displays the best-fitting offers and content to each website visitor. Thanks to behavioural personification, push notifications can be specific to individual users, delivering them the right message at the right time.

There are a number of AI tech tools to interpret large volume of search queries, better speech recognition in voice search, recognise images and photos to tools to automate web design. See them here.

Want to make good predictions based on data-driven marketing. Instead of business decisions guided by basic demographics, focus groups, surveys and second-hand research, you now have the benefit of researching trillions of conversations of real people talking to one another in a constant flow of likes and dislikes, lifestyle preferences and personal information. Audience analysis can find out what people are thinking about your brand, your products, and the world they live in.

AI-powered predictive analytics tools help to identify new patterns and aide marketers in predictions and taking action on it. AI tech is able to aggregate extensive datasets from first- to third-party data and analyse it using the right algorithms. The data quality is of paramount here and marketers need to ensure that the right datasets are being used. Marketers can use results to recommend products, deliver interesting offers for each user.

Want to acquire new customers and optimise targeting. AI-enhanced advertising software can help marketer serve personalised ads and excel at customer acquisition through highly-engaging mobile, display and video formats. When it comes to a targeting of programmatic ads, machine learning helps to increase the likelihood a user will click. AI-powered systems decide which product to display or what ad copy to use depending on the upcoming website visitor.

There are many areas where AI has the potential to allow marketers to improve at scale. From analysing behavioural and demographic attributes to accelerate media-buying decisions to detecting trends in user behaviour. From View the AI tools now.

Need to improve customer relationship and increase loyalty. AI-powered chatbots are changing the way of customer interactions with brands. AI-powered chatbots process customer real-time queries efficiently and effectively, are scalable, trainable and on-brand. Talking or typing to a chatbot delivers the service through the analysis of natural language and understanding of a brand’s datasets. Here are some AI-powered tools viable today.

Wish to retain customers and prevent customer churn. AI-powered tools in this category can help you increase customer lifetime value. They gather data, build a predictive model, and test and validate that model on real customers. That information can state what stage of churning the person is in. Quick-churn customers (users who abandon a product shortly after starting to use it) are difficult to re-engage. But for late-churn customers (those who have a long-lasting relationship with your brand) you can offer incentives to keep using your product. Machine-learning algorithms also can help identify disengaged customer segments that are about to churn or leave for a competitor. For example, if the system notices these churn-indicating behaviours, it can send users relevant offers to keep them engaged.

You can use Hourly to will free up your time. That extra time can go into strategic and creative thinking where human effort is most valuable.

Last but not least, when looking to implement an AI solution, make sure to prioritise areas that offer the biggest reward if optimised. Then make sure your dataset is large enough for the algorithms to learn from. Train leaders and team within that area of business to get the most out of an AI platform. Do everything you can to make your data-driven practices as transparent, honest and value-creating for your customers as possible.

Dive right into our infographic of AI software. Start applying AI tech to deliver personalised experiences and beat your competition.

If you are using AI tools, which one(s) would you recommend? Drop a comment below and let’s discuss!

*Source: The sixth edition of the State of Marketing report by Salesforce