Engage individual customers at every touchpoint with on-brand tailored content and recommendations.
Automate tasks and suggest relevant content so your teams can focus on the bigger picture.
Drive longevity at every stage of the customer journey with personalised experiences at scale.
Remove the guesswork from personalisation and let AI take the lead. Our AI Decisioning Engine analyses customer behaviour and preferences to predict the next buying stage, ensuring your team can deliver the right information and the right products at the right time.
Ensure your personalised content is delivered at the right moment on the right channel with AI predictions and automation.
Connect existing data sources and allow the AI engine to continuously learn with every interaction.
Gain transparency and view insights into why certain AI-driven recommendations have been suggested.
Increase ROI with personalisation specifically matched to your business. Our AI Decisioning Engine enables you to align your personalisation and business strategies based on tailored criteria.
Request a demoHighlight specific items and products to include in recommendations to boost interactions and conversions from customers.
Define specific items and products to exclude from recommendations and, therefore, will not be seen by customers.
Identify groups of items and products to boost recommendations to ensure more engagement from customers.
Our AI Decisioning Engine seamlessly integrates with our service and marketing tools to create a unified customer experience and unify data across departments. It effortlessly connects to our Customer Data Platform, Mobile Marketing Cloud and Mobile Service Cloud.
A contemplation on CM.com in the era of AI agents.
AI agents are your virtual helpers. Digital employees designed to perform specific tasks within an Agentic AI framework. What type of tasks? Pretty much anything you can think of: Analysing data, writing emails, automating cancel or renewal processes, creating tickets, and so on and on and on. But how do you create these AI agents? Let us show you how.
Black Friday is a huge shopping event, drawing crowds of eager shoppers hunting for deals. But after the frenzy fades, the real challenge begins: turning one-time shoppers into loyal, repeat customers. Customer retention is vital for long-term success and post-Black Friday is the perfect time to build lasting relationships. So, how can your business retain customers post-Black Friday? In this blog, we’ll explore how to make it happen.
Black Friday 2024 is just around the corner, bringing with it a great opportunity for retailers to maximise sales. However, standing out in such a competitive event isn’t easy. Consumers expect attractive offers, fast deliveries and top-notch customer support. In this article, we’ll show you how to simplify the purchasing process during Black Friday, optimising everything from promotions to logistics and 24/7 customer service to ensure a seamless experience and increase customer loyalty.
As a member of the customer service team, you stand on the frontline of customer interaction every day. In a world where customers demand quick and personalised service, long wait times, impersonal responses, or worse, incorrect answers, can quickly drive a customer away. Your goal, however, is to connect customers with your organisation and deliver the best answers and service possible.
Meeting customers' expectations remains the biggest challenge in service. Speed, convenience, and accurate responses are critical to achieving this. With the power of Generative AI, customer questions can be identified, categorised, and resolved more quickly. Plus, your organisation is continuously fed with data to improve the entire customer journey.
In life, they say percentages don't matter, but in marketing, they are everything. The customer journey, spanning from acquisition to retention, is a path filled with potential incremental drop-offs at every touchpoint. A confusing experience here, an ill-timed communication there, and suddenly, your conversion rate is plummeting.
Chatbots spent a decade-plus as a technological sideline: nestling at the corner of websites, roaming the odd FAQ, inviting people to click with a hopeful link. They weren’t a big part of the customer experience. But now – suddenly – they’re everywhere.
Customer service teams face a vast range of challenges in their day-to-day. Customer expectations are higher than ever, and large volumes of repetitive queries can test their patience and create stress where there needn’t be any. That’s likely why the average customer service representative only stays in a job for 12 months.
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