The most successful brands are able to integrate the power of artificial intelligence into their eCommerce strategies. AI-driven solutions give marketing teams the ability to personalize each interaction with the consumer.
The surest way to grow your brand’s market share is to engage with consumers in a personal and meaningful way. By personalizing UX on every level, businesses give themselves the best chance at scaling their growth. But how do they do this in the realm of eCommerce, where there is often no human-to-human interaction?
The most successful brands are focused on integrating the power of artificial intelligence into their e-marketing strategies. This is because AI-driven solutions give brands the ability to personalize each and every interaction with the consumer. Artificial intelligence has the potential to expand your target market into new segments by creating optimized, targeted, next generation experiences that consumers won’t want to stop exploring.
Here are the three main ways AI can help optimize your team’s marketing strategy.
1. AI-driven Chatbots that provide superior customer service
A chatbot is an AI interface that’s learned to communicate with your customers in a personal, authentic manner. They help consumers look for the right product, compare alternative options, troubleshoot, and make payments. And they do all of that without requiring labor from a customer support team. In fact, a well-made chatbot almost always outperforms customer support employees. For businesses large and small, integrating a messenger bot can be a great way to add a personal touch and engage with you customers at a very low cost.
2. Personal, Predictive Interfaces built in real time by AI
Consumers today expect personalization and interaction at every level of their experience. They’re looking for digital interfaces that are not only predictive, but easy to follow. Enter AI.
AI is able to analyze the most minute piece of data (every mouse hover, followed link, etc.) to personalize eCommerce on a deeper, more meaningful level than ever before. This makes it so the interaction between the consumer and interface feels less like a hollow, one-sided exchange, and more like a holistic symbiotic experience. Examples of this extreme personalization include timely messages, insightful recommendations and comparisons, mobile alerts, visual interfaces that are specifically tailored to each person, and dynamic, optimized content that evolves according to living, breathing data.
When brands integrate AI into their UX, they are able to create living, breathing, and listening machine learning that provides people the experiences that they want before they even realize what they are looking for.
3. AI-driven Targeted Advertising
Digital advertising has seen massive growth over the last few years. The main reason? Data.
Vast amounts of consumer data has helped companies make informed advertising decisions that raise their bottom line. But the current model still results in advertising that fails to draw new customers. Using AI-driven algorithms to help analyze consumer data enables businesses to cut waste, target the right consumers, and create fewer, and more effective ads. This is because it allows brands to target very specific groups of people with every form of advertising they pay for.
Effective advertising is all about connecting with a customer on a personal, meaningful level. Instead of the guesswork and broad strokes approach of the past, AI helps power those connections by providing consumers with the personalized nudge they need to start a conversation.
By integrating artificial intelligence with your brand’s marketing efforts, your business can connect on a personal level with your customers to give them better experiences and help them further engage with your brand. Want a free, personal consultation on how to get started? Get in touch today!
About the Author: Lyn Nguyen is the CEO of Liquid Analytics. She is a passionate advocate for innovation through AI and drives transformational change for enterprise clients.