This guide will talk you through different attribution methods which vary in complexity and accuracy and explore the benefits of advanced techniques and offer examples of how brands are doing it well. Learn the four key steps to build the right attribution model for your brand.
DataIQ in association with Tealium carried out a research project among consumers exploring their awareness of how personal information is being requested and used, as well as what influences their attitudes during this data-value exchange. Download this report to see what the research reveals about privacy attitudes and consumer awareness of data protection rights.
Artificial intelligence is the alpha trend in technology right now and is having a sweeping impact on how marketing organisations work and approach customers. AI is not new, but due to a series of converging conditions – wide availability of machine learning and advanced analytics; an abundance of data; and affordability of raw computational power – AI has gained momentum and is today a technology with substantial transformational impact.
Marketing data insights and campaign automation can deliver powerful results, no matter what industry you work in. Nowhere is this better demonstrated than in the ‘Best use of the Apteco Marketing Suite Award’ finalists, who all demonstrate the winning customer-centric strategies that deliver competitive advantage.
CFAO is a 4.2 billion euro company based in France that does business in 36 African countries, 7 French overseas territories, Denmark, Portugal, Italy, India, Vietnam, and Cambodia. With more than 140 operational subsidiaries, CFAO found it difficult to be as responsive as they wanted.
How Brands Can Leverage Customer Data Platforms to Create Timely, Relevant and Personalized Experiences
Each day, an estimated 2.5 quintillion bytes of data is created. This includes staggering amounts of transactional and demographic data, as well as virtually infinite amounts of behavioral data. For many organizations, the problem lies not in the gathering of such data but in it’s organization, analysis and application.
Successful brands know that having quality customer data drives greater business success and more engaged customers. Yet organizations of every size continue to struggle with making data-driven decisions as a result of poor quality data.
With the skills gap being a perennial problem for companies that need data scientists, a good development programme would go some way to alleviating that issue by widening the talent pipeline and hopefully reducing employee turnover. Toni Sekinah speaks to Asheeka Hyde of Jaguar Land Rover, winner of the Best Development Programme prize at the DataIQ Awards, about the structure of its graduate scheme.
Zurich Insurance went through a transformation to simplify its data processes, and was recognised with a DataIQ Transformation with Data award. Toni Sekinah speaks to Anita Fernqvist who led the turnaround.
Fergus Weldon of Trainline and his team built a prediction model that shows users what ticket prices will be and when specific prices are about to expire. He gives advice to other data teams that would like to build such a model and says how it was similar to constructing one of the wonders of the world.
Oliver Smith is leading a far-reaching innovation programme at Telefónica as part of a “health moonshot” to change lifestyles and reduce chronic illnesses. Ahead of his speech at Data Summit, he told DataIQ how they plan to get there.