Pace Media (recently acquired by the UK agency TSW) is a TV advertising agency based in London. But it’s an ad agency with a spin: the company leverages new technology and new types of data to bring modern analytics to the old world of TV advertising.
As a customer-centric online business, LMT strives to provide the best booking experience on all devices, giving customers an easy way to visually compare offers and easily book the best travel option. Their advanced omni-channel marketing, combined with the high volume of visitors and many customer touchpoints across all apps and sites, made them hit the boundaries of their existing analytics solutions.
With Cooladata analytics in place, Webcollage clients and partners can see event information on a granular level across channels, allowing for deep user behavioral analysis that goes beyond standard KPIs. What asset types are the most popular? How helpful is the content to shoppers? What content and retailer combinations drive conversions and sales? These and other complex questions can now be answered in real time.
90min needed a clear breakdown of the revenue each advertising affiliate contributed, due to a lack of clear insights about which affiliate brought valuable traffic in terms of both quality and quantity. The challenge of unifying diversified data sources with the data related to user behavior raised a barrier to 90min’s optimization of its affiliate network. Increasing the revenue from this affiliate network is key to 90min’s growth: bringing more traffic to the company’s websites and apps and thus enabling better terms for media buying.
RealMatch takes Big Data seriously. That’s why they chose Cooladata to take on behavioral analytics. Collecting tens of millions of data points daily, RealMatch strives to understand the needs and actions of both job seekers and employers, with the goal to optimize job matching, user experience, and overall recruitment success.
Founded in 2005 and with over 5 million visits monthly, mySupermarket is a leading online supermarket that provides a new type of shopping experience by enabling its users to compare prices and shop from all the main retailers on one platform. Customers compare different item prices, fill up and order a cart online, or print a cart as a shopping list to take with them while shopping in their local supermarket.
LuckyFish, needed to capture and analyze millions of events that related to player behavior, game performance, and other social parameters that influence actions. LuckyFish was looking for a scalable solution that could grow instantly in peaks, be cost effective, and could also make data available for insights in record time.