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.

20% of businesses think GDPR non-compliance could shut them down

86% of businesses worldwide report the potential negative consequences of non-compliance with the upcoming EU General Data Protection Regulation (GDRP) as a major concern, according to Veritas Technologies.  

The Veritas 2017 GDPR Report surveyed 900 business decision makers and found that 20% think that non-compliance could end up putting them out of business.

The risks of non-compliance with the new set of regulations, due for introduction in 25 May...

By Colm Hebblethwaite, 27 April 2017, 0 comments. Categories: Customer Experience, Data Science.

WEATHERfx puts weather data into marketing decision making

The Weather Company has announced an innovative collaboration with LiveRamp to allow marketers to integrate real-time weather data into their omnichannel campaigns.

For those marketers who are concerned with engaging people with relevant and timely experiences, the effect that weather has on consumer behaviour is often over-looked.

“Weather conditions impact a vast number of consumer decisions,” said Luke McGuiness, LiveRamp’s head of data partnerships.

“The Weather Company has one of...

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

5 easy ways to get more out of your B2B marketing data

Data drives decision-making in several industries. It provides cover, establishes trends, and points toward outlooks. So why, according to a PricewaterhouseCoopers study, do 62% of executives rely on their experiences instead of empirical evidence?

The answer may reside in the data itself. Executives either don’t have the information they need, or it isn’t in a useful format.

There’s also the potential for too much data,...

By Jonathan Gray, 19 April 2017, 0 comments. Categories: Advertising Technology, Big Data, Data-driven marketing, Data Science.

24% of UK businesses have stopped preparations for EU Data Protection Regulations

Around a quarter of firms have cancelled their preparations for the incoming regulation because they believe it will not apply after Brexit.

The EU General Data Protection Regulation (EU GDPR) is a group of rules designed to coordinate data protection laws across Europe.

The EU GDPR has been years in the making but has now been ratified by the UK. It is due to take effect in May 2018.

This is likely before the Brexit process is complete. The process, beginning with the triggering of Article 50 this week, will...

By Colm Hebblethwaite, 30 March 2017, 0 comments. Categories: Data-driven marketing, Data Science, E-Commerce.

Why you need to pair hyperlocalisation with data for success

Hyperlocalisation – theoretically taking personalised marketing one step further – is more than a trend: it’s the culmination of technological advances combined with innovative marketing tactics, and it has created new opportunities for brands to communicate value to customers. Couple this with the power of data, and you open up a whole host of possibilities for reaching specific sets of customers.

Here are just a few reasons the marriage of hyperlocalisation and data is a match made in...

The new data struggle, or, Why you’re still wasting your marketing budget

The buzzwords never end. A proliferation of tools, platforms, and services now pitch their “social listening” abilities, databases of “influencers,” or "intelligence," promising companies new ways to augment their marketing efforts and easily tap into new audiences. Platforms dazzle with slick dashboards and videos, startups burst at the seams with smiling salespeople, and testimonials describe recent influencer-attended product launches.

What brand executives or marketing...

By Avery Booker, 03 March 2017, 1 comment. Categories: Customer Experience, Data-driven marketing, Data Science.

Is data killing off the art of the marketing prediction?

(c)iStock.com/Ximagination

Opinion At the start of the year, I was approached by several publications and ask to write articles sharing my predictions for the year ahead. I am sure you are familiar with the format; you will see the "top 5 x of y for 2017" appearing online well into mid-March. While it can be fun to make guesses at what might happen, I believe it is becoming a pointless exercise. The pace of change in modern society is increasing, being driven by ever faster technology innovation. If...

By Mike Bainbridge, 16 February 2017, 0 comments. Categories: Data-driven marketing, Data Science.

Salesforce launches extra-strong AI-flavoured Service Cloud Einstein

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Salesforce has announced the unveiling of Service Cloud Einstein, a new customer service platform which includes a beefed-up AI engine and aims to add intelligence ‘to every service interaction’.

The platform, which is a mix of the firm's current Einstein AI tool and Service Cloud, will be fully connected to CRM data across sales, commerce, and marketing departments, and offers a variety of features. Einstein Supervisor is a mix of...

By James Bourne, 13 February 2017, 0 comments. Categories: Customer Experience, Data-driven marketing, Data Science.

DataSift partners with LinkedIn to take marketer insights to the next level through AI

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Data marketing firm DataSift has announced it is to join forces with LinkedIn to provide greater insights into the Microsoft-owned B2B network for marketers.

The company, which describes itself as a ‘human data intelligence’ provider, is unveiling PYLON for LinkedIn Engagement Insights, which gives users various methods of increasing their engagement, from discovering new audiences for brands and products, to benchmarking, and learning which content works best with...

By James Bourne, 23 January 2017, 0 comments. Categories: Data-driven marketing, Data Science, Social Media Marketing, Web Analytics.

Entering a new age of customer experience: Data, programmatic, and more

(c)iStock.com/JLGutierrez

While machine learning itself is nothing new, the speed at which data can now be processed, analysed and actioned has completely changed the machine-learning game. Readily affordable computing power, the quantity of data available, and algorithms we never thought we could use are now possible.

While the fundamental concept remains the same, machine-learning is now far more sophisticated, efficient and easily deployable – and the potential it offers to revolutionise customer...

Getting data management right: Using data to understand your customer base

(c)iStock.com/sorbetto

Fragmentation – it’s one of digital marketing’s biggest hurdles. As defining customers becomes increasingly difficult, brands across the UK are looking to understand and segment their audiences recognising that it is essential for brands.

With so many channels available for businesses to speak to their audience, there is more data available on customers than ever before. But where do businesses begin when it comes to breaking down all of this data to truly understand...

By Wojciech Bednarz, 11 January 2017, 0 comments. Categories: CRM, Customer Experience, Data-driven marketing, Data Science.