4 Examples of Artificial Intelligence in Marketing

Artificial Intelligence marketing is the new trend taking the marketing world by storm, but many marketers are still in the dark around how AI strategies can be leveraged in everyday marketing campaigns.

Here are 4 tried-and-true examples of AI marketing:

1. Preemptive Marketing

With AI, marketers can sift through large amounts of data to determine patterns and trends, and thanks to AI solutions doing the ‘searching’, there is little to no manual data analysis. Once patterns are identified, marketers can preemptively promote solutions, products, or programs to the respective audience segments.  

A good example of preemptive marketing comes from Netflix and their ‘you may also like’ prompt. Netflix amalgamates viewing data and runs it through their AI programs to pinpoint similar shows or movies a viewer may enjoy.

netflix

2. Content Generation

Let’s first get this stat out of the way: a significant portion of sports and finance related articles are already written by machines, not humans. With AI marketing, this trend is poised to spread throughout various other industries. Finance and sports are traditionally numbers-heavy industries, which makes it easy for AI programs to understand the data and translate it into human-readable articles.

As marketing becomes ever more numbers focused, content will begin to be written (or at least outlined) by automated programs.

yahoo

3. Sales Forecasting

This AI marketing strategy takes conversion management to the next level by analyzing inbound communication against traditional metrics such as consumer engagement, closed business, and communication channels.

Marketers can use this data to answer difficult questions, such as:

  • Is a prospect ready for a 1:1 meeting invite?
  • Should an email response be sent?
  • Is it time to disqualify a lead altogether?

salessummary

4. Ad Optimization

For digital marketers, ad targeting typically boils down to the key metrics of cost-per-click and cost-per-acquisition. AI marketing and machine learning algorithms help marketers optimize these metrics by analyzing larger buckets of data to better detect user trends. This can include anything, from what images or products to promote, to what copy to use for a specific demographic.  

This is especially prevalent on social media platforms such as Instagram. AI tools can analyze what types of consumers typically follow which accounts, and prompt specific ads or promotions to run for these audience segments.

sprintad

Final Thoughts

These ideas may sound like they’re from the future, but don’t worry; the creative minds here at Emarsys are already implementing innovative, AI driven marketing solutions. Using advanced machine learning algorithms, we are building AI solutions that can take over most of the tedious and time-consuming tasks that marketers struggle to deal with.

Want to learn more about the technology that’s powering some of the most engaging marketing strategies from across the globe? Read more here.

New Call-to-action

Related Articles

Wednesday, 11 January 2017