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Machine learning, predictive analytics and company arrived to stay and to elevate every brand’s efforts to prevail online. Join us to explore the most solid applications of AI in marketing.
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Spotify creating amazing playlists based on your daily behavior;
Netflix recommending new shows or movies according to what you’ve watched.
To understand in a more practical way how A.I can turn your life in marketing easier, take a look at these possibilities:
To turn something that was sluggish done due to countless steps and small details into an automatic routine is basically gold for anyone in the business.
Process automation in marketing using A.I can happen in several ways, outcoming results with surgical precision, providing insights much more assertive to the professional marketer of the overall strategy or work produced.
This one is also a time-saver for the professional marketer. The more your A.I for marketing spend analyzing data, the better are the results you get.
Also, when you optimize the results through A.I, the chances of errors are severely decreased, as well as the possibilities of advancing data analysis are highly increased.
This last possibility we are going to mention — but definitely not the last one there is — is more of the aftermath of working with A.I for marketing.
When you improve the level of quality of your service, offering better possibilities, and personalizing your delivery, there is no other way the customer won't increase their satisfaction with you.
Customer Experience and Artificial Intelligence are wired together! Everything done so far was designed to provide one-of-a-kind moments between the brand and the user.
All the reasoning you read so far leads to one thing: DATA!
Here some examples of what Ai could do on your strategy:
# Dealing with data
# Combining automation and humanization
# Communicating easily
# Finding trends
# Surprising the audience
# Analyzing your success
IBM has reported a 71% decrease in Cost-per-Click in their media campaigns by using their AI algorithm Watson to optimize programmatic media buying.
Machine learning can help businesses in allocating their Ad budget to the best platforms in a real-time fashion, through a ton of parameters that qualify user behavior.
Marketers have seen an over 13% increase in Email CTR rates and an average 7,6% in open rates by using AI-enabled technology, Statista reported.
Machine learning algorithms can learn the behavior of your audience through historical data to create segmented Email versions, erase low-engaged contacts or automate newsletters.
56% of CMOs who use AI technologies leverage them to create personalized content, as a report by MarketingCharts revealed.
Machine learning can help brands create more targeted and accurate content for their audiences, based on an analysis of historical data on the performance of content built by themselves and their competitors.
27% of the global digital population uses voice search resources on mobile, according to a report by Google.
These devices rely on machine learning to predict user intent and help their search process. To achieve the top of the SERPs, the content will need to be more and more conversational.
43% of millennials would consider paying a premium fee for a hybrid human-bot customer service channel, a PwC study shows.
Tackling customer needs with AI-based technology like chatbots can optimize the time of internal professionals and increase their satisfaction, which equals more revenue retention!
The world of AI is huge and keeps expanding at the speed of light! So how about you stay with us to see more of its impact on Marketing strategies? Check out this really cool webinar we did with Paul Roetzer from the Marketing AI Institute to dive deeper into the topic.
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