TechieTricks.com
Monetize Your Start-Up With Machine Learning Monetize Your Start-Up With Machine Learning
I’m going to let you in a little-known secret. If you want to grow or monetize your start-up, look at the companies that leverage... Monetize Your Start-Up With Machine Learning


I’m going to let you in a little-known secret. If you want to grow or monetize your start-up, look at the companies that leverage a gaming mindset. The next Uber or Snapchat might look like a game studio, employing the best user acquisition, retention, and revenue strategies learned from the gaming industry. The broader game industry has become more prominent than the movie and music industries combined. The world’s 2.7 billion gamers will spend $159.3 Billion on games in 2020; the market will surpass $200 Billion by 2023. 

Monetize Your Start-Up With Machine Learning

The new economy is beginning to adopt a gaming mindset. And it’s leveraging data science strategies, Machine Learning (ML), and Artificial Intelligence (AI) to do so.  

The data science of user acquisition. 

The beauty of gaming is that it is multi-dimensional. You can be a Tetris player, a bubble shooter, or Solitaire player one day, and a Nascar racing driver, NBA player, or Fortnite player the next.

The diversity in the types of games that are out there is endless. And it’s no longer just ‘hardcore gamers’ and teenagers playing. They’re people like my wife and my older neighbors across the road. They play mobile games or stream on Twitch. That’s why the user acquisition space is so significant – you can acquire users at a very granular level and then serve them with highly targeted ads and content in a very authentic way. 

There’s a massive economy and market built around user acquisition.

How would a company attempt to acquire a customer in the physical world? For example, to reach a broad, potential audience, they might put up a billboard or an ad in a high-traffic area. But, how would you get that same audience in the gaming world?  

There’s ample opportunity to link a physical identity with a potential customer’s same digital identity. The way to do this is through data science. If you log in via Facebook or Google into a game or online platform, then you can identify who that person is. Some stochastic models provide insights around user demographics that we want to acquire, retain, and ultimately monetize.

However – just because you know my identity on Facebook doesn’t mean that I will react the same way you expect me to. That is where the data science and A/B testing to understand user behavior is so important. 

How do you acquire the right user and the right place at the right time?

It involves programmatic ad network integration, attribution models, and a ton of data collection and analysis. This helps you understand how to complement your customer acquisition efforts and ensure that they’re more effective over time. Then you can identify where that user is – perhaps it is in the East Bay of the San Francisco Bay Area. These data insights highlight strong retention characteristics and revenue opportunities, so you double down your user acquisition spend. Finally, there’s a ton of ad testing done with gaming companies, and testing begins to get automated.  

Retention through machine learning  

The retention piece is fascinating because it ties very closely with the best product management and design practices in gaming. For example, companies like Airbnb use heatmap analytics within their product to decide what feature they should roll out next, based on how customers are using the product or which buttons they click on the most. The critical part here is understanding why people click on particular buttons, and user flows that then lead to ideal outcomes – like in-app purchases or viewing an ad. 

Machine learning helps determine why, when, and how users interact with a specific game and then optimize for it. Thus, the machine learning aspect is critical to attracting the attention of potential investors.  

Monetization  

How you monetize is only truly useful when you know who you’re acquiring. Once you identify a user with a high value based on data analysis and machine learning, you can work with that user to ultimately optimize the product experience. For example, when you understand user behavior and preference, you can determine which ad the user should get, when, or which in-app virtual item or subscription plan to present for purchase. 

Monetize in an authentic way

There are many ways to monetize your app through ads via Google, Facebook, Unity, etc. But increasingly, we see alternative ways to monetize in a more authentic way. For example, offering cash prizes in gaming competitions help to drive an uptick in retention and engagement and allows developers to take a cut of each transaction. Today, being a professional gamer can be lucrative, with gaming competitions held worldwide and tens of thousands to millions of dollars up for grabs as prizes. The prize pool for a Dota 2 tournament, for example, reached over USD 34 million. 

We even saw the International Olympic Committee explore ways to include eSports in the Olympic Movement. 

Who has a Gaming mindset today? 

FitOn, a recent investment of Telstra Ventures, is an LA-based startup that gamifies personal fitness through social workouts with celebrity trainers. During lockdown 2020, FitOn grew 200% in workouts, sign-ups, and friends exercising together. Members racked up 60 million workout minutes in May alone. FitOn has also signed a global partnership with Weight Watchers to promote the wellness app across its five million+ subscribers. 

Another one is the Canadian start-up Snapcommerce, a company in our portfolio. They have a data science team that has developed an AI chatbot and only sells hotel rooms through messaging platforms like Facebook Messenger, WhatsApp, and SMS. They’re using data science to automate the critical function of A/B testing around user engagement and acquisition. The data and analytics they produce around click-through rates, geographies, and insights into user demographics and retention statistics are phenomenal. They are among the fastest-growing companies in our portfolio.  

Competitive mobile games maker Skillz and online gaming platform, Mobile Premier League – both in our portfolio – are growing. 

Like most gaming companies, Skillz’s revenue has boomed due to COVID-19, with people turning to games during lockdowns. Skillz’s platform can turn any mobile game on iOS or Android into one where users can play with friends or strangers for cash, prizes, or points 

Where to next? 

Game publishers are architecting very complex, intelligent systems. They’re doing this to reach new users, acquire them across digital platforms, and engage and retain them. Then they can monetize them all at scale with very low latency and in a very authentic way.  

We see the rest of the world adopting a gaming mindset.  

Whether you’re a fitness, retail, airline, investor, or bank – you need to establish a robust digital experience. You’ll also likely need a mobile experience and app. So architect your back-end infrastructure and your front end-user experience in a way that, frankly, gaming companies have perfected. 

Image Credit: tima miroshnichenko; pexels; thank you!

Yash Patel

Yash Patel

General Partner

Yash Patel is a General Partner at Telstra Ventures. He joined the organization in 2014 and leads TV’s consumer investing efforts, with an emphasis on esports/gaming, social media, commerce, AR, and data-rich SaaS apps.
Yash has sourced and led TV’s investments in Team SoloMid, Skillz, Snapchat (SNAP), SnapCommerce, BigCommerce, OpenGov, Singular, FitOn, Near, and Mobile Premier League. He is particularly interested in products that can reach massive scale and exhibit network effects.
Previously, he was a Director of Corporate Development and Strategy at Adknowledge, an online advertising technology platform whose investors include TCV, JMI, TPG, and Nokia. While at Adknowledge, Yash sourced and executed acquisitions and lead strategic planning for the business.
Before Adknowledge, Yash was an investment banker at Jefferies LLC, where he focused on mergers and acquisitions, capital raising, and strategic advisory in the technology sector.
Yash holds a BSc (Hons) in Mathematics and Biology from University College London.
Yash is a native of the Bay Area, enjoys tropical travel, his golden retriever, and is a hardcore Golden State Warriors fan – his favorite player is Antwan Jamison.



Source link

techietr