Many businesses, despite spending a huge amount on driving new traffic to their websites are still experiencing poor conversion rates and lack of insight into their visitors requirements

The growth in consumer demand for real-time personalization is at an all-time high. It’s a fact, customers are not only becoming more connected they are also becoming more informed, demanding and unpredictable. Given the wide range of options consumers have online, retailers are finding that the key to converting their visitors into loyal long-term customers is real-time AI-driven e-commerce personalization. Through the use of Artificial Intelligence and machine learning, intelligent e-commerce personalization platforms are able to analyze customers’ behavior, learning their habits and enabling retailers to deliver automated, personalized recommenders within search results, promotional and personalized banners and on-page recommendations in real-time.

Why should e-commerce personalization be the main agenda point?

Provides each customer with a relevant…

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…

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…

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, …

How marketers can capitalise on new AI technology to deliver more effective chatbots

Chatbots are no longer the robotic, clunky machines from the days of old. If you remember bots like AOL Instant Messenger’s SmarterChild, for example, you might be interested to learn that advanced designs are allowing for the creation of more interactive conversational pathways — meaning these days, chatbot conversations look a lot like their fluid human counterparts. What’s more, companies developing these technologies are increasingly able to iterate upon each chatbot, optimizing specific types of interaction within the messenger conversation. As a result, a new element of artificial intelligence technology is emerging, and it’s called natural language generation.

Generating ‘Natural Language’

NLG is simply the creation of human-like language by a machine representation system. These systems begin with the idea of figuring out what the communication goal is or what the user wants to know. What follows is an analysis of…

How to use Artificial Intelligence to boost ROI from advertising

For marketers, the tide of artificial intelligence has finally crashed ashore. It has begun making waves at industry events like WSDM: The 9th ACM International Conference on Web Search and Data Mining Web Search and Data Mining conference in San Francisco. In his keynote address, Google research fellow Jeff Dean told attendees it’s time to embrace techniques like deep learning. Once a land of buzzwords, rapid improvements in machine learning have made AI a pivotal member of marketer’s toolkits. As best practice guidelines on Machine Learning at Google shared by Martin Zinkevich (technical) show, Google are actively using Machine Learning in many projects. Dean and others are excited about AI because it will finally allow marketers to take full advantage of the hordes of data they’ve begun collecting. While we’ve been able to generate mind-boggling mounds of data for a while —…