Artificial Intelligence (AI) has transformed numerous industries, and marketing is no exception. From personalized customer experiences to predictive analytics, AI is reshaping how businesses engage with their audiences. Brands that leverage AI-driven marketing strategies gain a competitive edge by automating tasks, analyzing vast amounts of data, and optimizing campaigns for better performance. In this article, we’ll explore how AI is revolutionizing modern marketing strategies and what it means for businesses looking to stay ahead.
Email marketing has been going on for years now, and it is still one of the most effective means of engaging customers, increasing conversions, and building long-term relationships. However, with the emergence of artificial intelligence(AI), email marketing takes a new turn.
Why is B2B marketing so…boring? People in gray offices. Stock photos of handshakes. Safe colors that all blend together. It makes your eyes glaze over.
It’s a “safe” trap that even the world’s most creative companies can fall into, especially when marketing technical products to enterprise customers. But the team at Adobe has never played it safe. As creative pioneers, they’re leading the pack in B2B product marketing, and we should all take note.
Imagine a world where every support call, chat interaction, or service request is handled by an artificial intelligence agent that doesn't just understand the customer but also reflects the brand, adapts to the context, and communicates in a tone that feels human. This is no longer theoretical. This is happening now, and consumers are already on board.
Customer experience has changed forever with the advent of artificial intelligence. Every boardroom and customer experience officer expects mass personalization at scale built on mass digitization. Differentiation will come from every journey delivered in a contextually relevant manner. The question of when and where to insert a human will define future CX strategies. Unlike the Internet Age, when there was a push for massive decentralization, open systems, many players, and lower costs, the AI Age has so far become the opposite (see Figure 1). CX leaders will have to find ways to drive down costs to be faster, better, and cheaper.
It’s long been known that excellent customer service is critical for companies’ bottom lines, and the numbers continue to support that. Research from The Harvard Business Review found that customers whose experiences with companies met or exceeded expectations spent 140 percent more than customers who had negative experiences. Additionally, customers with higher satisfaction levels are 74 percent more likely to still be customers a year later, compared to only 43 percent who rate their customer experiences as poor.
Disruption isn’t just about innovation. It’s about challenging norms, exposing inefficiencies, and rewriting the rules of your industry. Yet, most businesses hesitate to disrupt. They fear rocking the boat or standing out too much. But in today’s ultra-competitive, trust-driven market, playing it safe is the riskiest move of all. The brands that lead their industries aren’t the ones following the status quo—they’re the ones willing to challenge it, and do whatever it takes to earn the trust of their buyers.
In the ever-evolving world of B2B marketing, staying ahead of the competition means adapting to the latest trends and technologies. One of the most transformative forces in this landscape is Artificial Intelligence (AI). From personalized customer experiences to predictive analytics, AI is no longer just a buzzword—it is reshaping how businesses operate, engage with customers, and drive growth. As we look towards the future, understanding AI’s potential in B2B marketing becomes essential for marketers seeking efficiency, effectiveness, and innovation.
Customer retention may sound like business jargon, but really, it’s just the art of keeping your customers happy enough that they stick around.
Think about your favorite coffee shop. Maybe they offer you a punch card where you earn a free coffee after ten purchases. That’s customer retention at work—using incentives and positive experiences to keep you coming back.
Customer retention matters because keeping your customers is easier than chasing new ones. When you look at how quickly advertising costs, introductory offers, sales pitches and tools add up, acquiring a new customer typically costs way more than retaining an existing one.
High-potential customers are your starting point for customer experience management.
— What are their aims?
— How aligned are you?
If you don’t know the aims of your high-potential customers, what does that say about your aim?
Are you struggling to get the most out of your data initiatives? Many teams jump straight into seeking insights and exploring new tools without first understanding their data needs. But before you move forward, it's crucial to take a step back and ensure your team knows how to properly assess the inputs required to achieve the desired outcomes.
Compliance in marketing is essential for avoiding costly mistakes that can lead to fines, wasted ad spend, and damage to your brand’s reputation. Whether it’s adhering to internal guidelines or broader regulations, such as GDPR, marketers must ensure campaigns are set up properly and data is handled responsibly.
It’s no secret that Salesforce have gone to extreme lengths to market and sell Agentforce since debuting it at last year’s Agentforce. A lot of our content here at Salesforce Ben has covered it’s every corner – from how to get started with it, what people think about the hype, as well as all the new upgrades, such as Agentforce 2dx, that Salesforce has announced.
What is the greatest obstacle for any product, system or task? How to avoid overworking and sabotaging your efforts? Get the best tips to cutting the clutter and simply getting things done:
☑️ Simplicity isn’t a nice-to-have. It’s a strategic choice
Personalisation has become the most exciting and important driver of customer loyalty in retail. Powered by AI, personalisation is becoming more than just the engine behind modern loyalty programs, but a major engine for business profitability as well.
Use these tips to unlock the potential of AI-powered social media tools without sacrificing safety or privacy — or fully handing over the reins to robots.
For years, brands have treated creators like billboards. They’ve hired them to hold up products, hit share buttons, and boost reach. But the game has changed. As the creator economy matures, the most forward-thinking brands are rethinking their approach—not as buyers of influence, but as partners in creativity.
WhatsApp enables users to manage business chats effectively, offering tools for message control, feedback, and opt-in preferences. Users can stop conversations anytime, block businesses, and share feedback on messages. New features like business broadcasts enhance communication, with limits on marketing messages to prevent overload. Businesses must adhere to strict guidelines for messaging, ensuring quality and relevance, with penalties for policy violations.
Social media analytics can be a goldmine of insights to inform your strategy. But how do you stitch them together? Here are 11 social media analytics tools that can help.
Most B2B sales training fails because it doesn’t account for today’s savvy buyers who demand a deep understanding of their problems, expert insights, and collaborative solutions.
They want sellers who act as advisors helping them navigate complex business issues and achieve their goals.
Salesforce Marketing Cloud (SFMC) is a leading digital marketing platform designed to help businesses build and maintain personalized relationships with their customers. It’s a powerhouse for creating data-driven marketing campaigns, managing customer interactions, and automating workflows — all while keeping the focus on delivering tailored experiences.
Language models like Claude aren't programmed directly by humans—instead, they‘re trained on large amounts of data. During that training process, they learn their own strategies to solve problems. These strategies are encoded in the billions of computations a model performs for every word it writes. They arrive inscrutable to us, the model’s developers. This means that we don’t understand how models do most of the things they do.
Principles to delineate product and engineering roles to foster collaboration and ownership throughout the product development lifecycle, focusing on ownership, collaboration, and innovation.
