Omni-Channel Campaign Case Study (Ascent360) describes how Ascent360 helped its client find the best message and channel for each customer segment to grow its business and increase marketing ROI.
Kirin Case Study (Arm Treasure Data) shows how the world-renowned beverage and liquor company built complete customer profiles to improve marketing campaign performance.
Sweaty Betty Case Study (Optimove) describes how the activewear company got personal with customers.
OneLogin Case Study (Leadspace) details how the leader in unified access management was able to double engagement with intent data.
Global Pizza Chain Case Study (Manthan) shows how the company moved to personalized omnichannel marketing in India.
Spyder Case Study (Lexer) shows how outdoor brand Spyder used a CDP to achieve 95% email revenue uplift.
Allbeauty Case Study (RedEye) describes how the online retailer benefitted from a two-pronged communication approach.
US Supermarket Case Study (Manthan) shows how personalized marketing and automation led to more digitally active customers.
Royal Sundaram Case Study (Lemnisk) explains how the insurance company increased repeat visitor conversion with cross channel engagement.
Footasylum Case Study (RedEye) describes how using a predictive modeller helped the company double sales.
Blink Health Case Study (Simon) describes how Simon automated Blink Health's core lifecycle marketing campaigns within 45 days.
Travis Perkins Case Study (RedEye) describes how the company identified and engaged customers who were likely to become VIPs.
AEG Presents Case Study (Lytics) shows how AEG and Lytics turned fragmented customer data into precise knowledge about customer music preferences for more effective concert marketing.
Vivino Case Study (Simon) describes how Simon distilled Vivino's daily segment-building workflow into an automated process and significantly increased revenue per email send.
Paul Stuart Case Study (Optimove) shows how the luxury retailer used Optimove to automate multi-channel delivery of personalized customer communications.
Atlassian Case Study (Lytics) explains how Atlassian uses Lytics to increase engagement through in-product messaging, deliver personalized email campaigns, and identify strategic upsell and cross-sell opportunities.
PAS Case Study (Lexer) describes how a single customer view helped a national retail giant reduce ad wastage, re-engage lapsed customers and create amazing customer experiences.
The Economist Case Study (Lytics) shows how Lytics delivered a personalized content experience to each reader and 4x more subscription revenue to the Economist.
Adore Me Case Study (Optimove) describes how Adore Me significantly increased revenues and order volume using Optimove's Customer Marketing Cloud.
Wish Case Study (Arm Treasure Data) describes how Wish uses real-time data to build an $8 billion ecommerce experience.
Coverfox Case Study (Lemnisk) shows how Coverfox and Vizury Engage to reduce programmatic acquisition costs by 75% and increase click through rates by 200% through innovative quote level personalization.
LastMinute.Com Case Study (Optimove) shows how the digital travel company used Optimove customer modeling, micro-segmentation, and campaign automation to create a 35% increase in email open rates.
HDFC Case Study (Lemnisk) describes how Vizury helped India's leading private banking group to boost digital conversions by 400% with user level personalization on and off the web site.
BikeSource Case Study (Ascent360) shows how Ascent360 helped BikeSource capture contact information at outdoor events and used it for satisfaction surveys.
Moosejaw Case Study (AgilOne) show how Moosejaw uses data to provide its customers with unique, delightful buying experiences.
Subaru Case Study (Arm Treasure Data) shows how Subaru puts data in the driver's seat with Treasure Data.
Lilly Pulitzer Case Study (AgileOne) shows how Lily Pulitzer identified customer segments and engaged them with personalized marketing messages.
American Automobile Association Case Study (BlueVenn) shows how AAA used BlueVenn to integrate near real-time data, historical behavior, and predictive models to deploy campaigns in online and offline channels.