Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Platform distribution risks
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Platform distribution risks
Uncategorized

Platform distribution risks

ChrisDixon
ChrisDixon
4 Min Read
SHARE

When your product extends a platform’s functionality, one of the main risks you face is that the platform could embed your product’s key features within the platform – what is sometimes called subsumption risk. This happened to a lot of startups in the 90s that built products for the Windows platform.

When you depend on a platform for distribution (acquiring and retaining users), you take on different risks. Specifically:

When your product extends a platform’s functionality, one of the main risks you face is that the platform could embed your product’s key features within the platform – what is sometimes called subsumption risk. This happened to a lot of startups in the 90s that built products for the Windows platform.

More Read

Note to Bloggers: Don’t Quit Your Day Job
Tax Notice
Coconuts and seeded grapes
Big Data Analytics: Unlock Breakthrough Results – Step 2
Twitter Lists as an Influence Measure?

When you depend on a platform for distribution (acquiring and retaining users), you take on different risks. Specifically:

1) Oversaturation. The risk that supply of products on the platform significantly outpaces demand. This seems to have happened recently to the iOS App Store: there are over 500,000 apps and counting, and popularity tends to be highly concentrated, making it very difficult for new apps to get noticed. Oversaturation also happened to Google (organic) results in most query categories in the last 2000′s.

2) Barriers to discovery. The risk that the discovery methods on the platform aren’t meritocratic. iOS apps depend upon appearing in iTunes’ Top 25 lists, leading to a “rich get richer” bias, along with aggressive attempts to game the system. Apple has other app discovery mechanisms like its Featured Apps and Genius features, but those seem to drive far fewer downloads than the top lists. Google search has increasingly been favoring Google’s own products and also seems to heavily favor older, well-entrenched websites, making it very hard for new sites to gain significant SEO traction. Currently, social networks like Twitter and Facebook seem to have the most meritocratic discovery mechanisms, which is one reason so many startups target them for distribution.

3) Throttling. The risk that the platform will throttle distribution or monetization (for apps that rely on paid advertising, throttled monetization also means throttled distribution). Facebook started out letting apps send unfiltered notifications to users’ timelines but then introduced algorithms that heavily filtered them (thereby entrenching the position of leading app makers like Zynga). Facebook also started out letting apps charge users directly, but later changed that policy and imposed a rev-share.

If you are launching a new website or app, you should have a distribution strategy beyond just “people will love it and tell their friends about it”. Your strategy should probably involve at least one major platform. And you should think through the distribution characteristics of the platform and decide if they are a good fit for your product and how best to mitigate the risks.

Finally, it is worth noting that some of the most successful startups grew by making bets on emerging platforms that were not yet saturated and where barriers to discovery were low. Today, the most interesting new platforms are probably Android tablets and emerging social networks like Foursquare and Tumblr. Betting on new platforms means you’ll likely fail if the platform fails, but also dramatically lowers the distribution risks described above.

TAGGED:apps
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

software developer using ai
How Data Analytics Helps Developers Deliver Better Tech Services
Analytics Big Data Exclusive
ai for stock trading
Can Data Analytics Help Investors Outperform Warren Buffett
Analytics Exclusive
data security issues with annotation outsourcing
Data Annotation Outsourcing and Risk Mitigation Strategies
Big Data Exclusive Security
NO-CODE
Breaking down SPARC Emulation Technology: Zero Code Re-write
Exclusive News Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

ai helps more app marketplaces compete with the app store
Artificial Intelligence

AI Technology Helps App Marketplaces Compete with App Store

10 Min Read

How Mobile BI Will Change Sales in the Next Decade

4 Min Read
big data education
Big DataCloud ComputingData ManagementData Mining

Big Data and the Big Opportunity to Reform Education

7 Min Read

Apps are great, but Ecosystems are better

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?