That’s our approach – serve the right message, to the right person, at the right time, and pay the right price.
With the release of our algorithmic audience targeting platform it is finally possible to apply this common-sense approach – at scale – to buying media, creating dynamic landing pages or personalizing your website.
Our results speak for themselves. Contact us to learn more.
Client: Online gaming company (Eve Online/CCP Games)
Challenge: Finding the right audiences to serve online ads for a subscription-based signup.
Solution: [x+1] improves the efficiency and scale of CCP’s online media campaign by offering one month trials through a Virtual Ad Network created specifically for them. A custom targeted ad network was created and POE™ used its modeling to provide audience segmentation and targeting.
Results: Weekly subscriptions increased by 200% while the CPA decreased by 50%.
Client: Financial services company
Challenge: Presenting customers and prospects the best combination of products based on relevancy.
Solution: Replaced the hundreds of independently coded landing pages with a single dynamic landing page using Landing Page+1. This single dynamic landing page was extremely simple to setup and maintain. With the [x+1] point and click rules builder the page was customized based on visitors data including PRIZM cluster, day of the week, internet connection bandwidth and designated marketing area.
Results: The landing page reduced technology implementation costs and the dynamic, customized pages drove an additional 30% of sign ups.
Client: Delta.com
Challenge: Increasing online ticket sales by showing clients more relevant content.
Solution: Created dynamic pages with Site+1 platform. Customer data, visitor data and traffic sources are taken into account in order to present the best offer to each visitor.
Results: Client earned an additional $25 million in incremental online ticket revenue and had a 20% reduction in development costs.
Client: Telecommunications Company
Challenge: Drive acquisition rates while decreasing CPA.
Solution: [x+1] created a Virtual Audience Network to target audiences that were most likely to become new customers. The targeted audiences were identified based on past behavior and demographic segmentation. The Virtual Audience Network was continually refined to target audiences based on the attributes of those prospects who became customers.
Results: The CPA for each registration was decreased from $107.00 to $77.00 within a 3 month time period.