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.
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.
Unlock the true potential of your data with data-driven marketing to make better decisions.
Today, marketers turn to the most reliable source of information: The customer data. Unfortunately, though so many still have problems with the data-driven approach. Many often ask us where to find suitable data. Others criticize about the lack of tools.
Collecting, cleaning, putting it together and making sense of data to derive business insights is a lot to deal with. Companies that do master that process will be the ones set themselves apart from the pack.
The retail environment has never been more competitive. Online and mobile shopping channels, with their lower overhead costs, exert constant pressure on retailers to deliver low prices while remaining profitable.
How to move consumers from an on/off affair to a committed data relationship: A report from DQM GRC on how to make sure you are ready when former customers get back in contact, how to reset the data relationship and ten questions to ask about your data relationship with consumers.
In this increasingly digital world, do individuals understand the amount and worth of the data they generate? Are organisations transparent about how they use and store this personal data? Download this report by Consentric today to explore why earning trust and why rebuilding trust is important and key factors shaping transparency
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 lead 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.
It’s conference season again and exhibition halls around the world are full of people selling their data goods and services. At one a big expo I went to recently, the representatives of one company got me really excited about data management despite my lack of a comprehensive understanding of all its intricacies. They did this by being by highlighting the path to a beneficial destination.