Marketing departments are spending more online than all other channels combined to drive qualified traffic to their websites

There’s a chasm between UK retailers’ use of AI for marketing and the adoption of AI by UK retailers to optimize merchandising opportunities on their websites. Marketing departments are spending more online than all other channels combined to drive qualified traffic to their websites. In the process, they are embracing artificial intelligence (AI) in the form of machine learning and predictive analytics, to automatically sniff out and signpost the most likely converting customers. [si_guide_block id="137727" title="Making the case for AI in online merchandising" description="Read our full report, written with Apptus, about how AI can supercharge your online merchandising and transform your internal team."] I find it baffling that once those marketers have taken the horses to water, their merchandising colleagues are limiting the amount of water they are allowed to drink. Many merchandisers are just too…

AI has enabled online merchants to automate tasks with much more accuracy and efficiency, making it an indispensable asset to their business model

From self-driving cars and voice-operated appliances to machine learning tools and smart virtual assistants, Artificial Intelligence (AI) has a bearing on everything. While the e-commerce market has remained subject to numerous technological interventions in the past, AI has had the biggest impact so far. AI’s influence on online businesses has been the most significant development for e-commerce in recent years. Through AI applications, the e-commerce industry has progressed in leaps, allowing online merchants to reduce the costs associated with marketing, administrative, and management. Moreover, AI has enabled online merchants to automate tasks with much more accuracy and efficiency, making it an indispensable asset to their business model. According to industry experts, AI will rank in the top five investment priorities for more than 20% of CIOs by 2020. From its…

87% of marketers state that AI and machine learning are already vital to their organization’s success, yet this has the largest skills gap present in the data and marketing industry. Tim Bond, Head of Insight at the DMA discusses why these skills are essential to the future of intelligent marketing

Data and technology have already transformed the way businesses engage their customers in the 21st Century. The prospect of artificial/augmented intelligence (AI) and machine learning revolutionizes the speed with which we, as marketers, can take action on this insight to offer better, more relevant and engaging content to customers. Much has been said about AI in recent years, but one thing that continues to be overlooked is the need for marketers who are driven to explore and develop their own skills sets, as well as organizations that embrace a continuous learning environment. In the not-too-distant future, marketers will need to be equally proficient…

Three ways financial services companies are leveraging AI to enhance the customer experience

Artificial intelligence is having a transformative impact on industries and sectors across the world. From retail to manufacturing, advanced AI technology has already changed how we interact and do business with one another. This trend is only going to continue and whilst some worry about a Terminator-style apocalypse, many are looking more optimistically at the opportunities ahead. The financial services sector has experienced some really interesting developments over the last five years. Changing regulatory compliance requirements and shifting customer demands mean that financial services companies are turning to new technologies to manage different challenges and opportunities. Many of these can be grouped into three broad areas: Combating fraud and financial crimes Managing credit and regulatory risk Enhancing the customer experience Within this post, I’d like to look at some of the ways financial organizations are using AI to enhance the…

Recent research shows that bots can communicate better and faster than humans

It seems that almost every day, pundits warn us about the dangers of implementing AI-based apps too quickly. One oft-cited Oxford University study predicted that nearly half of total US jobs could be lost through automation. But fear not, when it comes to automation in the context of higher education. Because here, AI-powered messaging apps are actually a very good thing. [si_guide_block id="29978" title="Download our Free Resource – Essential marketing models" description="This free guide has been created to help today’s marketers apply our pick of the most popular established frameworks to aid their decision making."/] These apps significantly lower administrative costs while also raising student satisfaction and enrollment rates. Specifically, these apps have: Lower service costs. Schools just need to pay for the 'startup' costs of their chatbots and related apps. Very few human support agents…

The future is now with chatbots, so you need to consider how you can use the technology to improve lead generation

In case you haven’t heard, AI’s promise isn’t based on future advances. It’s being used widely now to transform digital businesses. Powered by smart algorithms and machine learning, chatbots (automated chat messaging) promise to allow companies to connect with their prospects even better than humans can, while at the same time dramatically lowering headcount and overhead costs. Dozens of tech companies have created chatbot platforms that serve up pre-programmed responses to questions; responses informed by things like prior website interactions, social media activity and semantic analysis. Most importantly, these bots can decipher the intent of your visitors. If you know intent, you know what to say next, which is the 'secret sauce' of lead nurturing. [si_guide_block id="87369" title="Download our Business Resource – AI and Machine Learning for marketing" description="The guide aims to…

Think of deal management as a tool that helps you get the right information to reach the desired outcome

What is deal management?

Deal management is a strategy that is used by companies to define deal parameters. These include customer history, product status, discount supplied and other operational constraints in the sales review process. It is used as a tool to maximize company margins, profits and revenues. Deal management software uses visual indicators to help increase the chance of up-selling and cross-selling. As Alexander Graham Bell said, "Preparation is the key to success." Think of deal management as a tool that helps you get the right information to reach the desired outcome. It prepares sales reps to improve their sales pitch and performance, which ultimately leads to increased revenue. [si_guide_block id="87369" title="Download our Premium Resource – AI and Machine Learning for marketing" description="The purpose of this guide is to cut through…

Sending emails has been an integral part of digital marketing for its direct approach and cost-effective methodology

You’ve probably had your first taste of artificial intelligence from science fiction films that depict robots gaining sentience through the wonders of the technology. This is still far from happening in the immediate future, but it wouldn’t be surprising if such advancements are actually achieved. But as far as we are from having sentient robots that might take over the world, artificial intelligence has already made it relatively far from the day it first came to be. There are emerging trends with the technology across various industries as it’s utilized to improve different processes. In the field of digital marketing, artificial intelligence plays a crucial role, particularly when it comes to email marketing. Sending emails has been an integral part of digital marketing for its direct approach and cost-effective methodology. With the help of artificial intelligence, …

Mapping the most effective AI technologies for marketing across the customer lifecycle

AI technology is a hot topic in marketing at the moment, but AI is a broad term covering a wide range of different technologies. Artificial intelligence means any technology that seeks to mimic human intelligence, which covers a huge range of capabilities such as voice and image recognition, machine learning techniques and semantic search. Marketers like to wax lyrical about the latest exciting technologies and bang on about AI for image recognition, speech recognition, preventing data leaks, or even targeting drones at remote communities. All well and good. But how are marketers supposed to do anything with that information? It's just hype, you can't implement it. That's why in our AI and Machine Learning briefing for members we have identified fifteen artificial intelligence techniques that businesses of all sizes can implement, rather than techniques which only major tech…

Evaluating technology options for innovation in marketing - do you know your Hype Cycles?

If you're involved in marketing strategy development, you will be constantly making judgements and doubtless arguing with colleagues about which digital technology innovations are most relevant to your organization. In this article, we compare different examples of Gartner's well-established Hype Cycle tools which serve to highlight the adoption of new technology services within marketing technology. You'll see we have updated the post for different years, so you can see how technology trends have changed as techniques like content marketing and personalization have moved along the Hype Cycle. [si_guide_block id="81859" title="Download free member resource – Digital Marketing Megatrends" description="Learn how to get an edge in the year ahread by deploying the latest marketing techniques that businesses of all types need to consider to stay competitive."/]

The latest digital marketing Hype Cycle

In December 2018 Gartner published their latest digital marketing and advertising Hype…

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