Marketers are under more pressure than ever to drive key business outcomes for acquisition, revenue, and retention – often with fewer resources at their disposal as companies tighten their purse strings. Smarter savvy brands are leveraging AI marketing solutions to gain efficiencies and deliver results – faster than the competition.

1. Scaling marketing personalization.

AI marketing tools can be used to automate the process of selecting the right marketing campaign variants, channels, segments, and recommendations at the 1:1 level by learning from past customer behavior – making it possible to truly tailor experiences for each individual.

2. Improving campaign performance.

Machine learning algorithms can predict the most effective marketing channels, the best time to deliver campaigns at the individual level, which segments should receive which campaigns, which audience members are at risk of churn, which are most likely to make a purchase, and more. With this kind of information, brands can see campaign performance and key metrics, such as conversions and revenue, grow over time.

3. Speeding up the time to launch new marketing campaigns.

Creating images, drafting content, and reviewing assets are key steps in the campaign development lifecycle, typically taking time and including many rounds of iterations. Thanks to AI, brands can automate and assist some or all of these steps, cutting back on production time and delays.

4. Reducing marketing costs.

Brands that are able to achieve efficiencies by using AI to create campaign materials and review assets as part of the QA process can save not only time, but money on additional resources. In addition, smarter segmentation powered by machine learning can help companies lower advertising and marketing costs by targeting the audiences with the highest value.

5. Deepening customer engagement.

A range of AI marketing tools helps brands reach customers via the channels where they’re more likely to open, click, and convert. This will help to deliver content that is more personalized to individuals’ preferences at times when they’re most likely to engage.

6. Reducing customer churn.

Irrelevant content and offers. Disruptive messages that get sent too often or at the wrong times. With AI, brands have the insights they need to avoid these kinds of poor experiences that turn customers away. Businesses can also use predictive insights to pinpoint customers at risk of churning in the moment and drive retention

7. Boosting revenue.

Figuring out which content is resonating, which channels are having the best impact, and which users are primed to purchase has been historically hard for companies to determine in real time. However, that’s changing with AI – and unlocking these learnings is making it possible for brands to engage customers in ways that bring in more revenue.

8. Boosting marketing productivity and agility.

With AI on hand to take on many of marketers’ most tedious tasks, that frees overworked team members up to act more nimbly and spend time driving strategy to get more done faster than ever.

The need for companies to transform customer engagement, automate processes and cut costs is fueling the rapid adoption of AI.