“Good marketing makes the company look smart. Great marketing makes the customer feel smart”. Joe Chernov
Marketers strive to make every interaction count, but with the evolving customer mindset and emerging technologies, this may take a backseat. How can marketers excel and thrive with shifting customer expectations? Salesforce Einstein AI in Marketing Cloud is the secret sauce that drives marketers to stay competitive with changing market dynamics.
AI uses machine learning algorithms to analyze customer data, identify patterns, and forecast future trends. These predictions provide valuable insights, helping marketers create tailored campaigns that drive conversions and enhance campaign effectiveness.
So, can Einstein AI change the modern marketing landscape? The answer is an unmistakable yes! With predictive analytics at its core, the possibilities for creating robust campaign strategies are endless!
In this blog, we’ll discover how predictive AI in marketing can be a game-changer for businesses.
5 Ways Predictive AI Enhances the Marketing Game
Legacy marketing practices cost businesses billions of dollars each year. Marketers spend money, time, and resources chasing metrics that do not add any real value to their marketing ROI. This leads to a waste of funds and an inability to connect with customers at the granular level. Einstein AI in marketing leverages historical data to understand past customer behavior and preferences. These insights allow marketers to predict future needs and make insightful decisions that make marketing impactful.
Here’s what AI in marketing brings to the table for enterprises:
1. Optimize Website Performance
According to a report, 61% of website visitors say that if they don’t find what they were looking for within about 5 seconds, they’ll go to another site. Marketers have a tiny window to engage with users and convert them into leads by showing them content they care about right away. But how do you ensure they engage with the right content?
AI in Action
Einstein AI analyzes customer data—past interactions, browsing habits, and engagement patterns to predict what each visitor is likely to engage with next. It delivers personalized content and deals, driving higher engagement and reducing bounce rates.
2. Boost SEO Tactics
SEO is a top challenge for most marketers as only 1.94% of all pages get between one and ten monthly search visits from Google. Ranking high requires time and effort—researching keywords, creating optimized content, and tracking performance. But with so much competition, how can you rank higher without endless hours spent on SEO?
AI in Action
AI in marketing sifts through historical datasets to analyze past search trends, keyword performance and competitor strategies to identify and recommend the most effective SEO tactics. Leveraging AI for SEO will help you target the right keywords, optimize content, drive traffic and maximize conversions with less effort.
3. Enhance Email Campaign Effectiveness
Email marketing is an efficient way to generate leads for your brand and there are 4.48 billion email users worldwide. However, the average click-through rate for an email marketing campaign is 1.4%. Marketers struggle to create catchy subject lines or relevant email content that resonate with customers. How to ensure that your message stands out and engages your audience?
AI in Action
Einstein Predictive AI analyzes past email engagement trends like opens, clicks, and purchases. It predicts the most relevant content for users, and segments customers based on their interests to create more personalized emails and identify the optimal send time. This boosts the open rates, ensuring the effectiveness of your email campaigns.
4. Personalize Product Recommendations
Today’s customers expect personalized experiences—76% of consumers said that they would prefer to purchase from a brand that personalizes user experiences. However, recommending the right products at the right time and on the right channel can be tough, especially with large inventories and changing customer interests. How to provide a more personalized and engaging shopping experience for your customers that they will cherish for a long time?
AI in Action:
AI in marketing analyzes past customer interactions and purchase history to anticipate future needs. This allows marketers to send tailored product recommendations that proactively address issues and provide a more engaging experience for customers. This includes offering specific products or complimentary offers to enhance their experience and boost loyalty.
5. Refine Journey Optimization
The customer’s journey with a brand/business is dynamic, with interactions across multiple touchpoints before converting. Marketers often struggle to provide personalized experiences and best actions that move customers towards conversion. How can you predict the right actions that will lead to meaningful engagement with customers?
AI in Action
Einstein Predictive AI in marketing analyzes your customer’s journey and predicts their next move, whether they’re ready to buy or need a reminder. Based on these predictions, AI recommends the next best action, such as sending personalized reminders or discounts. By optimizing the journey, AI can increase conversions by ensuring timely and highly personalized interactions.
Wrapping Up
AI in marketing is the future and is here to slay! Leveraging predictive analysis to identify customer trends and providing personalized interactions to boost engagement, artificial intelligence marketing tools can improve business efficiency and drive growth. AI predicts customer engagement, segments customers based on engagement levels and provides personalized recommendations that resonate with customer needs and preferences. Using AI for marketing, businesses can reimagine ways to optimize brand value and gain a competitive edge.
Ready to explore the future of marketing with AI? Schedule a 1:1 Consultation with us!
Author
Global COO, AblyPro
For 20 years, Neeraj has worked alongside a multitalented team to help associations and nonprofits drive digital transformation within their organization, enabling them to be more innovative, agile, and donor/member-centric. As AblyPro’s Global COO, he leads an internal task force that shares lessons learned, best practices, and practical applications that specifically relate to associations and nonprofits. With 300+ developers by his side, Neeraj provides clients with the resources and capacity to power up their teams.
