Appscore Presentation at the Napa App Retreat 2013 - appbackr
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The document discusses Appbackr's appscore algorithm which analyzes apps and assigns them a success score (SSa) based on various features. It compares the SSa to a market success score (SSm) based on industry metrics like downloads and revenue. The algorithm is constantly improved using millions of data points over time. Appbackr believes its algorithm can help app stores and platforms effectively curate and recruit high quality apps.
Appscore Presentation at the Napa App Retreat 2013 - appbackr
- 1. appbackr appscore: Algorithmic curation of applications ©2013 appbackr inc. confidential and proprietary. ©2013 appbackr inc. confidential and proprietary.
- 2. Xchange allows stores to have confidence in identifying the best apps using appbackr’s appscore algorithm appscore algorithm app developers cuts through clutter; predicts app rank/value enjoys optimized distribution antivirus screening across all stores and platforms helps screens apps for entry to Xchange through a web service or SDK 2 ©2013 appbackr inc. confidential and proprietary.
- 3. appscore algorithm will drive superior app selection Features 1. merchandise appeal Success Factors SSa 2. monthly revenue 2. user feedback 3. time since last update 1. number of downloads SSm 3. market performance Machine-determined, relevant features SSa versus SSm Industry-informed success metrics Our model is programmed to analyze all possible characteristics of an app to determine the ones most relevant to its success. We then use our proprietary algorithm to assign the app an appbackr success score (SSa). Comparing the app’s SSa and SSm allows us to evaluate our algorithm’s success. With a perfected algorithm, the 2 success scores should be equal. With our industry knowledge and experience, we define the metrics used to measure an app’s success. We then use these metrics to assign the app a market success score (SSm). 3 ©2013 appbackr inc. confidential and proprietary.
- 4. a constantly improving algorithm based on the quality and quantity of downloads Using millions of snapshots over time, we train our model on short 30 day intervals to ensure that it is continually improving. Today 60 days prior 60 days after 30 days prior 30 days after 4 ©2013 appbackr inc. confidential and proprietary.
- 5. Percentage of qualifying* apps per platform HTML5 apps Qualifying* Success Rate Android apps Qualifying* Success Rate * Apps scoring 8.5 or higher 5 ©2013 appbackr inc. confidential and proprietary.
- 6. Upcoming Features ©2013 appbackr inc. confidential and proprietary.
- 7. In-depth analysis of user reviews allows for qualitative evaluation Galaxy S2 LTE Should give 5 but wtf I've purchase mighty eagle but can't use it in the new level update. Thanks ©2013 appbackr inc. confidential and proprietary. This new update of angry birds is fantastic and addicting plz update more new levels of new lying and runing pigs
- 8. Language becomes a stubborn but important issue Spanish Russian Не устанавливается, пишет неизвестную причину 18, раньше всѐ ок было. Может в курсе кто? Desde la ultima actualizacion no funciona en mi X8 a quien le pasa lo mismo'???? Korean Japanese 広告の場所を考えて!! 邪魔して画面が 見えなくてイライラする!!!!! ©2013 appbackr inc. confidential and proprietary. 앵그리버드 정말 조아욤~! 제폰에 받고 지금 엄마폰에 담고있는데 동생도 재밌다고하구 저도 재밌어용~10점 만점에10점~
- 9. Lack of reliable automated translations is problematic for standard natural-language processing Spanish Russian Does not fit, writes unknown cause 18 before everything was ok. Can be aware of who? Since the latest update does not work on my X8 who would feel the same '???? Korean Japanese Given the location of the ad! Frustrating to not see the screen to bother!! ©2013 appbackr inc. confidential and proprietary. Angry Birds Yom really Joa ~! Now my mom on the phone and putting it in jepon being funny, but the mouth of my brother for fun too - 10 out of 10 points ~
- 10. Utilizing app’s social graph reveals user demographics Name: John Doe Age: 25 Occupation: Engineer ©2013 appbackr inc. confidential and proprietary.
- 11. Intelligent aggregation of public information allows for comprehensive quality evaluation User Reviews Keyword search Sentiment analysis Social Graph User Profiles Performance quality User interaction In-App Analysis 11 ©2013 appbackr inc. confidential and proprietary.
- 12. appscore application examples ©2013 appbackr inc. confidential and proprietary.
- 13. appscore provides easy curation of feature platforms Major retailers, new platforms, carriers, OEMs and even the browser feature apps on multiple channels effortlessly and enjoy optimal organic distribution. 13 ©2013 appbackr inc. confidential and proprietary.
- 14. appscore provides effective developer recruitment through tools integrations 14 ©2013 appbackr inc. confidential and proprietary.
- 15. Thank you appbackr.com/xchange ©2013 appbackr inc. confidential and proprietary. ©2013 appbackr inc. confidential and proprietary.
Editor's Notes
- #3: Algiorith identifies/predicts which apps will become top 10 Drive more sales through an algorithm which we feed to wholesalers, partners, so these apps sell more, SHOW ALGORITHM SPITTING APPS TO CHANNELS: SOCIAL< OEM< CARRIER<STORESDesign Note: Magnifying glass on apps showing a subset or something techy which shows the output of a math driven algorithmShow Performance 12.5% of apps become Top 10 within 14 days.
- #6: impending shift away from the current reliance upon mobile app download purchases as the primary focus of app monetization.
- #7: Great developers, great wholesalers drive sales volume.Great apps sell moreGreat apps are in demand by partners