Achieve the goal with automated marketing

As a business, you know how hard it is to keep up with customers today. People have become research obsessed for most purchases and expect brands to assist them in a personally relevant way at every stage of their purchase journey.  

Machine learning is one automation tool that can boost your efforts to meet people’s high expectations. Machine learning can help to create automated marketing campaigns, at scale, that place the right message in front of the right customer at the right time at the right price, delighting people and delivering the business results marketers want.

We talked with top brands decision makers who have adopted machine learning to improve their marketing, we’ve found that the top-performing brands are applying these below rules and asking themselves these questions to achieve goal with automated marketing:

1. Optimize your campaigns for growth: Machine learning is only as good as what you ask it to optimize. Top performers optimize the campaigns for profitable growth and take a holistic view of their marketing, while others are obsessed with efficiency or measure too granularly, missing the forest for the trees. Focusing on long-term profitability instead of short-term ROI.
2. Acquire best customers: Are you heard the general rule that 20% of customers drive 80% of profits. Yet many marketers acquire new customers as if they are all equal. Top marketers use machine learning to put more of their money toward marketing to more valuable customers and less of it toward people not likely to drive business results over the long term.  That means they’re automatically reaching people with a higher customer lifetime value (CLV). Today marketer using machine learning to target those customers who interacted with your products or services many times but not doing any purchase or make decision. Using technology, they give offers or more value to those customers.
3. Earn more from existing customers: Top marketers also focus on increasing the CLV of their existing customers. By earning more over time from each customer they acquire, they can afford to invest more to acquire other new customers. Better yet, they can acquire more customers than their competitors. Top marketers increase CLV by improving cross-selling and lowering churn using machine learning. For cross-selling, they forecast which product each customer should buy next and proactively market it to them. For churn reduction, they identify high-value customers at risk of churn and retain them with unique offers.
4. Improve Ad Creative: In a world where online marketing will be automated, the power of your brand, the personalization of your ads, and the emotional connection you create with customers will matter even more. For search ads, machine learning can create hundreds of tailored ads for a single keyword by using a new tool called responsivesearch ads .It creates unique ads from a few headlines and descriptions, and automatically serves the right ad to the right customer.
5. Invest in mobile friendly experience: As you aware people doing purchase or interact who give better UI experience. It doesn’t matter how effective your ad creative with targeted headlines. If your mobile site doesn’t provide better experience as per the customers, customers won’t convert. Top marketers understand the value in having fast, frictionless mobile experiences. With automated marketing, machine learning & artificial intelligence, bidding algorithms automatically drive more customers for better-converting sites. Under performing mobile sites are at a disadvantage.