According to a 2018 study by Juniper Research, spending by retailers on artificial intelligence tools will grow almost fourfold between 2018 and 2022, reaching $7.3 billion per annum – up from an estimated $2 billion in 2018. By 2022, the research found that retailers will be investing in AI tools to improve everything from customer service to sentiment analytics, automated marketing and demand forecasting.
15 examples of artificial intelligence in marketing
Artificial intelligence and machine learning are an increasingly integral part of many industries, including marketing.
But while we often talk about using or incorporating AI in marketing, what do we really mean by that? What does it look like in practice?
Copywriting is an often-overlooked but incredibly impactful art that, when done effectively, can have a hugely beneficial impact on ad click-throughs and campaign conversion rates.
According to research by Ofcom, the average UK consumer checks their smartphone every 12 minutes of the waking day. This level of ‘digital dependency’ (and 24/7 connectivity) means that consumers are now more demanding than ever before.
A Marketer’s Guide to AI and Machine Learning
This report will demystify artificial intelligence (AI) and machine learning (ML), provide an update on the current adoption of AI and ML and explain how organisations can use AI and ML in marketing, ecommerce and customer experience.
Latest Research, Trends and Best Practice
1. Introduction This report is aimed at providing guidance on setting up and running a highly effective programmatic campaign in the present climate. It is intended as an informational tool for advertisers who run their ads programmatically, as an audit guide for agencies that deliver the programmatic activity and as a best practice manual for […]
1. Introduction ‘The Future of Marketing’ is based on an exploratory and descriptive research enquiry into the trends shaping the future of marketing. The report examines the main objectives and key priority areas for marketers within the next five years. A survey was conducted among 492 respondents who classified as advertisers/ client-side marketers, media owners […]
“AI and Machine Learning is a topic marketers can’t really ignore at the moment”
Blog editor Ben Davis introduces AI and Machine Learning, explaining its importance, and highlighting some of the Econsultancy resources that can help.
Articles on AI
Advertising platforms are offering more automation tools. However, it is important to look at the bigger picture and not always view channels in isolation. There are several key examples when automation may not be the best solution for retailers using paid search.
With more organisations showing greater understanding of how AI and machine learning can be utilised, adoption is rising.
With countries around the world still in lockdown, it’s difficult to imagine a time when it is ‘business as usual’ for the hotel industry.
Stitch Fix is an online personal styling service that sends a curated selection of clothing and accessories to customers, using a mix of machine learning and human selection.
Today, optimizing for search is optimizing your customer’s experience. As people query a search engine on their laptop, ask a voice assistant for help, or use their mobile device to find nearby solutions to their needs, brands must be positioned to appear in these critical decision-making moments.
According to Econsultancy’s Experience Index: 2020 Digital Trends report, in association with Adobe, the gap between CX leaders and mainstream organisations is becoming increasingly evident, with leaders “having advanced customer experience management in place that’s aligned across strategy and technology.”
Mark Douthwaite is an AI engineer at Peak, a start-up which works within retail and ecommerce, adapting AI to solve supply chain issues with the likes of ASOS, Footasylum, Fred Perry and Morrisons. So, let’s hear what Douthwaite does every day, and see if he can cut through the hype and explain the true power […]
Fuelled by the availability of large data sets, cheap cloud computing power and growing confidence among marketers, machine learning is radically changing the marketing function and the way advertisers can reach their audiences.
I started my chat with Gurman Hundal, CEO of MiQ – programmatic business and sponsors of Econsultancy’s Top 100 Digital Agencies 2019 report – by asking him about the data challenges marketers are facing.
Valuable marketing insights are hard to find in the mountains of data many marketers are now faced with – resurfacing them requires more sophistication than manual methods can deliver.
You’ve got them written up on the wall, on your mousepad, emblazoned across your screen or maybe even in your reception. They are, of course, your brand values, and they provide the basis for your marketing efforts – hence their importance.
Six case studies of machine-learning powered email marketing
Machine learning has changed the game for email marketers. Once hyped as the ‘next big thing’, it is now being put into practice by a wide range of businesses to improve the effectiveness of email.
Find stats on AI and machine learning – explore the ISD
You’ll find a wealth of charts and statistics related to AI in the Internet Statistics Database, for you to browse, save and export.