Enter a search term such as “mobile analytics” or browse our content using the filters above.
That’s not only a poor Scrabble score but we also couldn’t find any results matching
Check your spelling or try broadening your search.
Sorry about this, there is a problem with our search at the moment.
Please try again later.
At a recent Econsultancy event I moderated a discussion about AI (more correctly, machine learning and deep learning) and marketing.
It became apparent that although the power of this technology is very much appreciated in a number of guises (including natural language processing, computer vision, and the processing of unstructured data for account based marketing), there is some confusion about how it applies to personalisation and segmentation.
Amazon has been using algorithms to try to sell you extra stuff for years.
But the technology to personalise merchandising, much further than recommendations, is advancing rapidly across ecommerce.
Consumers these days are so overwhelmed with emails, posts, white papers, and articles that many have now erected a personal 'attention barrier'.
This is a mental state which protects consumers' mental resources from all of the irrelevant messages and advertisements flashed at them online.
As the old proverb goes, it's difficult to make predictions, especially about the future.
Yet as a new year starts, making predictions is part of our jobs. Priorities have to be set, budgets allocated, and resources diverted according to how things have changed over the past 12 months.
According to new research, millennials are hoping to get more from their Christmas shopping this year than just a sack full of gifts.
Salesforce’s Connected Shopper Report suggests that younger consumers are becoming increasingly demanding, with most now expecting a VIP-like experience both online and in-store.
Personalisation is one of the hottest topics in marketing; the promise of segmenting customers into 'markets of one' is alluring for any brand.
But the pushback from consumers is almost as strong. That feeling of being 'watched' may be enough for consumers to abandon a website or leave a store.
Building a successful mobile app is difficult.
Companies spend significant amounts driving consumers to install their apps, and by some estimates, apps that aren't opened for a second time within the first 12 hours after download can see churn exceeding 50% in some categories.
According to researchers at Stanford, highly targeted ads may not be all they're cracked up to be.
Based on a mathematical model they built based on game theory, the researchers instead suggest that advertisers "prefer to remain in a state of partial willful ignorance so as to preserve communication credibility."
Atom Bank is the UK's first bank designed for digital and optimised for mobile.
Lisa Wood, CMO, is speaking at Econsultancy's excellent Future of Digital Marketing conference next month.
We caught up with her for a preview, picking her brain on the merits of a branchless and legacy-free, online bank.
This year it's the 10th anniversary of Econsultancy's Email Marketing Industry Census, in association with Adestra.
Subscribers can download the full census but first let's look at three key charts from the report.
We often discuss the state of display ads on this blog, sadly it is not always in the most positive light, and it seems the majority of marketers agree with us. But there is hope for a better approach.
Sixty-six percent of brand marketers and media buyers in Australia surveyed in our recent People-Based Advertising report either agree or strongly agree that the current model for display advertising is broken, and only 12% disagree that it is.
In the recent Econsultancy/Adobe Quarterly Digital Intelligence briefing, 25% of companies said they placed most emphasis on "making our experience as personalised and relevant as possible" in terms of improving the overall customer experience.