Kx Technology Selected to Power E-commerce AI Platform for Scientific Revenue

LONDON, October 19, 2017 /PRNewswire/ --

-   Kx selected as Scientific Revenue' s real-time analytics platform for online dynamic pricing

-   Using Machine Learning and Applied Artificial Intelligence, Scientific Revenue's platform analyses the behaviour of millions of users and applies machine learning techniques to increase revenue for its mobile gaming customers

-  Kx will assist Scientific Revenue's growth as it scales from mobile gaming into additional vertical markets including loyalty programmes and broadcast content

Global technology specialist FD today announces that Scientific Revenue, a provider of revenue optimisation services based in San Francisco, has selected Kx as the analytics platform to power its machine learning-based dynamic pricing application. Kx technology will support Scientific Revenue as it moves beyond its core mobile gaming market into other vertical markets and adds functionality to its patent pending technology.

Scientific Revenue is the leader in dynamic pricing in the $100 billion mobile gaming market, with customers including many of the top gaming companies in the world. Scientific Revenue's dynamic pricing engine delivers greater revenue and more insights for its customers. It is currently tracking the behaviour of millions of app users per day, using machine learning algorithms to set the optimal pricing for each transaction. Customers typically achieve a revenue uplift of 20-40% through the use of Scientific Revenue's optimisation services.

In addition to the mobile gaming market, Scientific Revenue has entered other markets including desktop gaming, subscription-based broadcast content, OTT video, and loyalty programmes.

William Grosso, Chief Executive Officer of Scientific Revenue, commented: "To do dynamic pricing right requires a platform that can handle billions of pricing events per day. Kx technology's real time, ultra-high performance capabilities make it ideal to power our dynamic pricing and revenue optimisation platform. Kx has a long history of handling large data sets at high speed and low cost, which will support our growth ambitions as we address a multi-hundred billion dollar market opportunity with our unique technology."

Brian Conlon, Chief Executive Officer of Kx commented: "Scientific Revenue's ability to use machine learning to deliver precision targeted pricing generates significant value for its customers and we are pleased to support its growth plans. This is another demonstration of Kx's market leading analytics capability in an exciting growth market."

About Kx
Kx is a division of FD, a global technology provider with 20 years of experience working with some of the world's largest finance, technology, retail, pharma, manufacturing and energy institutions. Kx technology, incorporating the kdb+ time-series database, is a leader in high-performance, in-memory computing, streaming analytics and operational intelligence. Kx delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries. The Group operates from 14 offices across Europe, North America and Asia Pacific, including its headquarters in Newry, and employs more than 1,800 people worldwide.

About Scientific Revenue
Founded by a team of data scientists with deep expertise in gaming and economic theory, Scientific Revenue delivers a dynamic pricing engine for game publishers that lets them focus on making great games, knowing they have a pricing solution tuned for maximum profit. Games using our technology have been downloaded more than one hundred million times.

Our patent-pending technology uses machine learning, predictive analytics, and temporal pattern matching in order to deliver targeted, per-user pricing that increases conversion and overall in-app purchase revenue. The result: pricing without compromise.

For more information about Scientific Revenue please visit http://www.scientificrevenue.com.

For more information about Kx please visit http://www.kx.com.

Scientific Revenue appoints Julian Runge as VP of Data Science

Mobile gaming leader will oversee data science and drive revenue growth for company’s partners

San Mateo, CA. – June 1, 2017

Scientific Revenue, a dynamic pricing and revenue optimization service, announced today that Julian Runge has joined the company as its new VP of Data Science. In his new role, Julian will be responsible for managing the data science team and will help develop proprietary machine learning solutions that will scale customer revenues and customer acquisition activities.
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Scientific Revenue Publishes Mobile Game Monetization Best Practices Report

In-Depth Survey of Leading Publishers Highlights Top Trends for In-App Purchase Sales, Strategies, and Dynamic Pricing

SAN FRANCISCO -- June 28, 2016 - Scientific Revenue, a dynamic pricing and revenue optimization service, today released its first mobile game monetization report summarizing best practices of top publishers and genres, with follow-on recommendations by Scientific Revenue’s team of economists and analysts. Click here to download a free copy.

Mobile game revenue is expected to reach $51 billion across all app stores this year, and by 2020, exceed $101 billion globally (App Annie), with most top games generating revenue through free-to-play in-app purchases (or IAP). However, pricing strategies vary widely from game to game, and remain a topic of much secrecy and controversy. Scientific Revenue’s report draws on surveys from a diverse range of leading game developers and publishers -- most with millions or hundreds of thousands of monthly active users -- to highlight dozens of notable findings and recommendations, including:

  • Virtual currency for IAP is nearly ubiquitous: Among developers who use IAP (almost all surveyed), nearly 88% monetize by selling virtual in-game currency, with the vast majority reporting Good to Great results.
  • Engage in more country-specific pricing: Only a minority of developers surveyed adjust or experiment with IAP pricing based on geography -- both of which Scientific Revenue strongly recommends in order to best capture large markets in developing regions where Google and Apple have introduced special pricing tiers.
  • Experiment with holiday/weekend IAP sales: While 28-38% of developer respondents don’t engage in weekend or holiday-themed IAP sales, nearly 60% of those who do report that such sales yield Good or Great results.
  • Revisit pricing post-launch: Surprisingly, 25% of respondents set IAP prices in the design or Alpha phase, and do not revisit prices post-launch.  Scientific Revenue recommends revisiting prices on a regular basis after the game has been launched, so that prices can be adjusted, tuned, and optimized based on user activity.
  • Optimize prices according to player: Only 40% of developers sell IAP at different prices to different players. Internally, Scientific Revenue sees revenue increases of 20 to 40% through targeted dynamic pricing of IAP.

You can get the complete Mobile Game Monetization Best Practices Report, including participant survey results and recommendations by clicking here.

This report is one of many that Scientific Revenue plans to release on monetization and pricing economics in coming quarters. Fill out the contact form here to request future reports.

 

ABOUT SCIENTIFIC REVENUE

Founded by a team of game industry veterans, economists, and data analysts, Scientific Revenue is dedicated to maximizing the money mobile developers make from their creative work. With an SDK already integrated in games with over 100 million total downloads, Scientific Revenue's dynamic pricing engine for in-app purchases typically boosts payment conversions by 15 percent, and overall revenue by 20-40%. Visit us online at www.scientificrevenue.com. Follow us on Twitter @SciRevenue.

 

Scientific Revenue Integrates With Chukong Technologies SDKBOX Mobile Games Service

Dynamic Pricing & Revenue Optimization for In-App Purchases Now Available to Developers of Thousands of Games Using SDKBOX

SAN FRANCISCO, CA and MENLO PARK, CA--(Dec 8, 2015) -  Scientific Revenue, a dynamic pricing and revenue optimization service, today announced it has officially integrated with Chukong's SDKBOX, a collection of mobile services pre-certified to work with the popular Cocos2d-x game engine. Joining already integrated third party services including Chartboost and Google Analytics, Scientific Revenue is SDKBOX's first and only SDK for in-app purchase price optimization.

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