DNB - Norway’s largest retail bank
Read and learn how DNB, a Celebrus customer, has pivoted from being a traditional bank to being a data-led enterprise, told from the Chief Data Officer's perspective.
We’re looking at digital channel interaction data to assess customer journeys on our digital channels using a leading edge digital capture solution, provided by D4T4
Aidan Millar, Chief Digital Officer, DNB
Read how our clients past and present used Celebrus to power their digital intelligence, big data analytics and contextual marketing and the impact it had on their business.
Celebrus & N Brown Group - Maximizing Marketing ROI
Celebrus & N Brown Group - Maximizing Marketing ROI
Topics: Predictive Analytics, Contact Strategies, Cost Reduction
Celebrus & N Brown Group - Maximizing Marketing ROI
Maximizing marketing ROI at N Brown Group. Driving improvements in: optimizing contact strategies, marketing effectiveness, cost reduction and predictive analytics.
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Celebrus JD Williams Case Study Cust Eng. CS250315
Improving customer engagement at J D Williams & Co Ltd
Topics: Single Customer View - Predictive Modeling - Customer Experience
Improving customer engagement at J D Williams & Co Ltd
Leading omnichannel fashion retailer J D Williams & Co Ltd is capturing 65GB of online customer data using Celebrus software every month. By feeding this data into a Teradata warehouse holding significant customer history and transaction data, the company are tackling attribution (Marketing spend), enhancing website functionality, improving segmentation, creating behavioral personas and using predictive modeling to deliver a relevant and personal customer experience across every channel.
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Celebrus JD Williams Case Study Bus Effic. CS250315
Web and customer analytics insight drives business efficiency for J D Williams & Co Ltd.
Topics: Segmentation – Marketing Attribution – Predictive Modeling
Web and customer analytics insight drives business efficiency for J D Williams & Co Ltd.
For omnichannel retailers changing customer behavior is not only affecting the ecommerce teams. As online fashion retailer J D Williams & Co Ltd has discovered, from finance to marketing, fraud to customer service, the ability to combine individual online customer data from Celebrus with offline history in its Teradata warehouse is increasingly supporting both tactical and strategic decision making.
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Celebrus If Insurance Case Study CS120515
If Insurance consolidates analytics to transform customer insight and corporate culture.
Topics: Customer Experience - Business Reporting - Digital Channel Analytics
If Insurance consolidates analytics to transform customer insight and corporate culture.
If Insurance uses Celebrus in conjunction with Tableau’s BI tool to provide the data scientists and analysts with the ability to deliver self-service analytics and dashboards to enable data-driven decision making across the company. If uses the Celebrus data to better understand the customer journey, from determining the most effective content to understanding the stages in the buying process and the questions raised at different stages. For If this is transforming its understanding of the engagement funnel.
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Celebrus Agis Case Study CS190319
Customer personalization from Celebrus delivers 24% conversion uplift for Agis
Topics: Marketing Attribution - Single Customer View - Customer Analytics - Digital Customer Experience
Customer personalization from Celebrus delivers 24% conversion uplift for Agis
Facing growing competition in a multi-channel market place, leading Dutch insurer Agis explored the role real-time personalization can play in driving up conversion rates. The company has layered Celebrus’ Online Customer Data Platform over its core five stage online information gathering exercise, to tailor content based on a customer’s life stage.
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Celebrus FBTO Case Study2 CS081112
FBTO Insurance to predict online campaign success within 24 hours of launch
Topics: Marketing Attribution - Single Customer View - Customer Analytics - Digital Customer Experience
FBTO Insurance to predict online campaign success within 24 hours of launch
FBTO has built predictive models using Celebrus data to compare the behavior of website visitors from different online marketing campaigns in order to understand which campaigns were driving the highest value traffic. Through being able to predict, to an accuracy of more than 90%, whether a visitor was likely to convert on this or a future visit enabled them to optimize campaign spend within 24 hours of a particular campaign starting.
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Celebrus Centraal Beheer Achmea Case Study CS270912
Centraal Beheer Achmea paves the way to developing a successful campaign attribution model using Celebrus.
Topics: Marketing Attribution
Centraal Beheer Achmea paves the way to developing a successful campaign attribution model using Celebrus.
Centraal Beheer Achmea has developed a campaign attribution model with an objective to provide accurate analysis to demonstrate which methods and advertisements added the most value to the sales effort overall. Celebrus’ rich, granular data provided them with the ability to combine the history of the customer journey across all their website visits and allowed them to supply detailed data of the customers’ chosen journey and route to conversion.
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