STUDENT LOAN PAYMENT CRISIS: I'm a private equity data scientist. I have access to some cool real time credit card data. Student loan payments are coming back and will impact industries/companies. Which ones? Let's dive into some credit card data and find out 🧵🧵🧵
First: what's the present state?In April of 2020, the number of student loan payers in the data dropped by 40%(!!!). By june of 2023, 70% of those with student loans weren't making payments. The average payment pre april 2020 was $300/mo, so we can assume consumers will pay that.
So, we can assume that 30 million people will randomly have $300 less to work with starting in september. WOOF! In fact, the data showed that non payers outspent their peers by almost 3% over the next 2 years. People get aggressive with that loan money!
Where did they spend that money? General Electronics, Air travel, pet supplies, and home furnishings dominate the dataset. In fact, there are a few companies in the dataset that seem the most at risk: Peloton, old navy, market district, shein, nintendo and target.
Other honorable mentions in our non payer category: Airbnb, Chipotle, hello fresh, pizza hut, random airlines, and sephora. So, if all that money isn't going to those companies anymore, what will happen to the economy? if we assume users were spending that money, that's 100bn
being sucked out of the consumer goods economy. What will happen when 100bn goes missing from the economy? IDK! But i do know that if you're peloton or hello fresh, you better get defensive ;) Happy to share the data provider in my dms because i'm not sure they want a mention.
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WATCH A PRIVATE EQUITY DATA SCIENTIST OPTIMIZE A PRIVATE EQUITY PORTFOLIO COMPANY. I'm a data scientist at PE fund. I'm going to break down a recent acquisition and how I'd approach it with data sci/analytics. First up? A classic: Fire/Safety Integrations company. 🧵🧵🧵
The company is K&G Integrations (its real). The company offers services such as fire alarms, video surveillance, access control, intrusion detection and wireless networking, thereby offering its customers with complete protection of their possessions. Let's break down analytics.
1) PRICING: K&G offers fire/safety integration + services and maintenance. That means they service a wide variety of building types and industries. I would want to build a model that takes in sqfoot, industry, area,etc and models the LTV/PROFIT.
LEVERAGED BUY OUT LEGENDS #8! I'm a data scientist in PE. I pull the greatest private equity/M&A deals and profile them. This one might be my personal favorite. THOMA BRAVO MADE 9B IN 1 YEAR. Mortgages? The fed? SAAS? Tailwinds? Perfect Timing? What a freaking story. Read on 🧵
This story has it all, and previous readers know that some of the largest returns in PE have followed a formula (that may not exist anymore): take a public company with dwindling software assets private. Improve it with best in class ops. flip it. This story is no exception.
In 2019, private equity firm Thoma Bravo spots Ellie Mae. Thoma Bravo's move was not random but strategic. They saw a significant value in EllieMae after a temporary downturn caused by rising mortgage rates in 2018 led to a significant drop in the company's stock value.
CONSUMER SPENDING ALERT: my pe fund closely monitors the state of the american consumer. Today, you can watch a data scientist in PE break down some interesting alternative data that shows that all might not be well with the american consumer. 🧵🧵🧵
First things first, we have corporate bankruptcies on the rise. Weekly bankruptcy data is on the rise. Bloomberg reports that corporate bankruptcies are approaching 2020 / 2008 levels. NOT GREAT
We have another interesting and odd statistic, courtesy of Zero hedge. Google search data can be INCREDIBLY valuable. Interestingly: GOOGLE SEARCHES FOR PAWN SHOPS ARE WAY UP! If you check the google trends for 'Pawn Shops Near Me' you'll see a troubling 3 year high.
LBO LEGENDS #6: Your favorite data scientist pulled 300k LBO deals. I profile them. Thoma Bravo had to make an appearance. TB's acquisition of Kofax is the stuff of legends. They bought it for 1.5b in 2017. Sold it for a rumored 3b+ in 2022. lets dig into it @OrlandoBravoTB🧵
If you all aren't sensing a theme here, there is (maybe was) massive IRR in carving out legacy techcos from large techcos and improving them. This deal is no exception. In 2017, Thoma Bravo senses a theme:
Robotic Process Automation is going to take off. What exactly is RPA?
Robotic Process Automation is rly just the use of software to automate manual processes. A wide variety of industries have manual processes that need to be automated via code. In 2017, Kofax has RPA footholds in: Finance, Insurance, Healthcare, Logistics, and government.
Want to see how a data scientist at a private equity fund breaks down a business and helps a portco change their pricing? I'm going to keep things hypothetical but this is closely related to a real story. Watch how you can use analytics to improve your business 🧵🧵🧵
Portco XYZ is a service provider. Each service has a rate associated with it, an amount of money exchanged for the service, and an amount of time associated with the service. Leadership at the fund has a weird feeling the portco could be doing better.
We pull all the pricing agreements, price customer actually paid, and the amount of time the service took to render. We have almost 30,000 transactions to work with; not a small service provider! We pull this data and plot the amount of time it took to render the service + price
PREDICTION/HOT TAKE: every PE fund will have a 'Chief Data Officer' or 'Chief AI Officer' in the next 5 years. The ROI on these roles SHOULD be large. As the head of ai at a large pe fund, I will explain my reasoning 🧵🧵🧵
AI has already permanently changed the way a variety of my portcos function. Each week AI seems to be getting more and more advanced. Some of these applications have very high ROI, and the CAIO will have the ability to go port co by portco and identify low effort high roi apps.
The first task at the fund of a CAIO will be learning more and more about each business. After years, this role will have a solid gut feeling about where/if AI ROI can be derived. Each week these ROIs get easier to achieve. Combo of vendor + custom solutions.