Customer Marketing Preference Center
The marketing team behind a leading consumer service needed a fast way to test the collection of detailed customer preferences for specific genre interests so that they could do more personalization.
So they turned to Pickaxe to help design the interface and well as implement the technology to collect the preferences and integrate with their existing data systems, all while ensuring compliance with Infosec, privacy, and legal requirments.
What We Did
Pickaxe was able to quickly design a solution that worked within their style guide, would look and feel like it was part of their service, but would sit on its own domain and function as a separate application.
Our middleware maintains the privacy of the user and complies with all of the customer’s INFOSEC requirements, and integrates into their CDP and CRM systems seamlessly.
And it will be easy for their teams to take it over when the time is right.
More Case Studies
Long before BritBox was streaming much loved shows to audiences around the world, they were looking for an experienced team to help them take the idea from concept to launch.
Nexstar needed a better way to understand user behavior, ad anomalies, and advertising performance across the hundreds of federated stations and websites that they operate from a mix of technology platforms built by them, or that they had acquired from multiple legacy parent companies over the years. The result was inconsistent and disparate reporting.
With thousands of advertisers, this Publisher was spending several days each month configuring Google Data Studio to generate campaign-close reporting. Not only were the visualizations lackluster and off brand, but the Publisher was also running into significant INFOSEC concerns granting advertisers access to their data in a secure way.
The CMO and marketing team at Spartan Race were having challenges with getting accurate attribution across all of their paid media channels, including above the line sources like TV ads and Out Of Home. And recent changes in cookie blocking and iOS added significant confusion in the data, causing major conflict between what they believed was driving conversion vs what their internal data was showing was driving conversions.