The new marketing jobs which will emerge in the next decade - from creative to data

Once upon a time, the world of the marketer was very simple: acquire people’s attention and then shout the loudest. This approach worked well with fewer channels and longer attention spans. Today, however, we are assailed with literally hundreds if not thousands of messages every day, with algorithms that predict exactly what to serve our audiences and when.

The business of marketing is now fiendishly complex to master. One wrong step and brands that have taken years to build can suffer catastrophic...

By Euan Davis, 29 August 2019, 0 comments. Categories: Automation, Best Practice, Data-driven marketing, Data Science.

Getting started on the data-driven content journey: Machine learning models and upskilling SEO

Lee Wilson, head of services and SEO at Vertical Leap, has had enough of organisations putting together elaborate campaigns, content and metrics which ultimately don’t go anywhere. All that wasted effort from businesses who have the right intentions. So what are the biggest mistakes companies can make?

“Fundamentally, this occurs as...

By James Bourne, 18 June 2019, 0 comments. Categories: Content Marketing, Data-driven marketing, Data Science, Search Marketing.

Netflix and machine learning is one thing - but for the rest of TV, AI is just hype

Artificial intelligence (AI) hype is everywhere. But does AI truly have a place in the TV industry? 

Electronics company, LG, is testing smart assistant integration that could streamline TV interaction, meaning it may soon be time to say goodbye to your remote. When it comes to content, the BBC used AI to create programming; with 

The SEO/data analyst hybrid: Why you should advocate for data-driven decision making in a content-driven field

The digital landscape is continually evolving—and the major search engines regularly roll out new algorithm updates—so SEO specialists have learned to stay flexible and reactive. As the industry inches closer and closer to relying on comprehensive machine learning, data points, SEO professionals must again evolve with the times. Content was king—and in some sense, it still is—but more and more SEO professionals see the writing on the wall and are...

By William Kammer, 30 January 2019, 0 comments. Categories: Data-driven marketing, Data Science, Search Marketing.

Data strategies: Fix it, don’t stitch it

The quality of (big) data has for a long time been a crux for CMOs. Instead of creating a true view that positions their brand to make sound decisions, CMOs are having to "stitch together" their data from different sources. They’re creating data Frankenstein monsters from different warehouses, assembling disparate findings, and failing to optimise decisions around the...

By Florian Gramshammer, 14 January 2019, 0 comments. Categories: Advertising, Data-driven marketing, Data Science, Email marketing.

Yannic Pluymackers, CMO, Lastminute.com: On management and creating moments for users

You don’t have to be a data scientist to be a CMO these days, but it helps.

That might be stretching the idiom a bit – but a data-centric background certainly hasn’t hindered Yannic Pluymackers. The chief marketing officer of Lastminute.com for more than two years – while admitting he is no data scientist himself – studied economics and statistics at university, and feels being conversant in these disciplines is...

A marketer’s dilemma: Overcoming the challenges of the data disconnect

Few businesses can thrive without using their data effectively these days — and in marketing, data is particularly foundational. Despite its importance, that doesn’t mean the process of gathering and using this information is easy or simple (few things ever are) and it’s certainly not fail-proof. There’s always room for human error.

When collected and analysed effectively, data delivers insights that...

By Kristin Hambleton, 26 November 2018, 0 comments. Categories: Customer Experience, Data-driven marketing, Data Science.

The five tenets of clean data: Preparing chatbot data for marketing personalisation

Organisations are already using live web chat – and increasingly chatbots – as a critical sales and customer support channel. Gartner says over 80% of companies offer some form of live chat on their website or mobile applications in order to interact with customers, and the chatbot market is likely to grow to $994 million by 2024

Could machine learning provide the key to measuring a customer journey?

Customer journeys help to increase positive results in all customer related KPIs, but in large enterprises and public organisations, the rule is if you cannot measure it, you cannot improve it.  How do we measure commitment to a brand and products – and how do we score KPIs that need to be improved upon?

A recent report by McKinsey indicates that customer journeys are 30% more...

By Jean Belanger, 08 November 2018, 3 comments. Categories: Commerce, Customer Experience, Data-driven marketing, Data Science.

Consumer data responsibility lies with head of IT, say third of marketers

With consumer data now considered the fundamental bedrock of digital advertising and minds sharpened by the recent introduction of GDPR, you’d think marketers would have a firm grasp on where responsibility for it sits within their organisations. Wouldn’t you?

In fact, while the majority of marketers consider data use a “very important” aspect of business growth, there seems to be an ongoing conflict when it comes to who should be in charge of it.

A study by the global association for...

Salesforce snaps up Israeli cloud-based AI group Datorama for $800m

Salesforce has announced the acquisition of Israel-based Datorama, a cloud-based AI (artificial intelligence) company.

While terms of the deal weren’t disclosed, reports suggest the deal could be worth approximately $800m (£602m), as the US sales and marketing cloud tech giant looks to keep pace with rivals such as Adobe and Oracle.

Datorama enables more than 3,000 leading global agencies and brands - including PepsiCo, Ticketmaster, Trivago, Unilever, Pernod Ricard and Foursquare, make sense of...

By Mark Jones, 17 July 2018, 0 comments. Categories: Advertising, CRM, Customer Experience, Data Science.

How to be smarter with customer data audits

Each year, the data that marketing teams hold on their customers will degrade by around 10 – 20%. This is simply because approximately 1% of the population will die, 10% will move house, and email addresses and phone numbers will inevitably change.

Not all data will take the same amount of time to degrade. For example, details on customer segments, products or customer type will all deteriorate at different rates. The age of the data plays a part too. If it is over 3 years old then 30% of customers will...

By Rob Frost, 07 February 2018, 0 comments. Categories: Data-driven marketing, Data Science.

Right here, right now: the power of location data

‘Location, location, location’; a phrase coined in the 20th Century in the real-estate sector, but one that’s never been more relevant to advertising. Nearly three quarters of people (73%) now allow apps to access their location, providing exact insight into consumer behaviour on mobile, and a competitive advantage for brands if used intelligently.

Location data is already being used successfully in some industries by established players, trying to fight off disruptors that are masters at using new...

By Amit Dar, 26 January 2018, 0 comments. Categories: Data-driven marketing, Data Science.

Spotting patterns in A/B testing: The difference between making and losing money

Wrongly interpreting the patterns in your A/B test results can not only lose you money, it can lead you to make changes to your site that actually harm your conversion rate.

Correctly interpreting patterns in results will mean you learn more from each test you run, give you confidence that you are only making positive changes, and help you turn any losing tests into future winners.

The results of A/B tests will generally fall into one of five distinct patterns. Learn to spot these patterns, follow...

By Kyle Hearnshaw, 11 October 2017, 0 comments. Categories: Data-driven marketing, Data Science.

New technology uses subliminal facial expressions to decipher human emotion and personality traits

New software from ‘artificial emotional intelligence’ (AEI) company Human has the ability to recognise and track human emotions and characteristics in real time.

The technology looks at an individual’s subliminal facial expressions, those little ticks, twitches and micro-gestures that a person is not aware that they are making, but paint a detailed picture of their mental state.

The software is the first of its kind, and looks to take a brave new step from facial...

By Colm Hebblethwaite, 10 October 2017, 0 comments. Categories: Data-driven marketing, Data Science.

Are we entering the era of ‘Collaborative Exchanges’?

Is the era of organisation-led customer interactions being replaced by a system where the locus of control is negotiated between brands and consumers in collaboration?

A new report, titled From UX to CX: Rethinking the Digital User Experience as a Collaborative Exchange, from the MIT Initiative on the Digital Economy and Capgemini Consulting contends that we are entering a new era: that of ‘collaborative exchanges’ (CX).

Based on two years of research with customer-facing organisations and analysis of the ways...

By Colm Hebblethwaite, 24 May 2017, 0 comments. Categories: Customer Experience, Data-driven marketing, Data Science.

Goodbye big data, hello good data? Why data quality is king

Almost a quarter (23%) of all the data organisations hold is believed to be inaccurate, according to our Experian Global Data Management Research 2016.

39% have 50 or more databases of contact data, up from 10% in 2014.

When it comes to data quality, 2017 will be a challenging year, with organisations across the board striving to address the challenges of open data and the pressures of new regulations.

Accurate and effective execution - particularly in marketing – depends on high quality data....

By Jason Goodwin, 11 May 2017, 0 comments. Categories: Big Data, Data-driven marketing, Data Science.

Lack of data science skills holding marketers back

40% of marketers think that a lack of analytical and data science skills is a major challenge to their customer contact strategies, according to research by Jaywing.

The survey of 250 managerial and c-level marketers found that many perceive this skill gap is preventing businesses from delivering personalised customer experiences and accurately calculating their ROI.

While 92% of respondents agreed that data management is important for their business, 40% think that a lack of analytical...

By Colm Hebblethwaite, 03 May 2017, 0 comments. Categories: Data Science.

Convincing worriers and sceptics: Who are the people new technologies need to sway to go mainstream?

Many recent technological advancements, which may have seemed outlandish even five years ago, have started to enter the mainstream.

Take fingerprint recognition on smartphones – an advancement which has come so far that now 64% of us would consider using it to access our bank accounts.

Yet for all the innovations that become part of our everyday lives, there are others – such as Google Glass and 3D TVs – which fail to make the same impact.

for all the innovations that become part of our everyday...

By Oliver Griffiths, 28 April 2017, 0 comments. Categories: Data Science, Personalised Marketing.