Peter Fader

Professor of #Marketing @Wharton, co-founder of @ThetaCLV and Incompass Labs. Co-author of "The Customer-Base Audit"

[Peter Fader @faderp]

Pretty cool to see @CruiseNorwegian ships docked right next to @PHLAirport. Can't wait to try one out!

[Peter Fader @faderp]

Stop everything and check out the new-and-improved CoolNumbers!
https://t.co/sLv2Ia71sU

[Peter Fader @faderp]

Pat, I'd like an R please!
@Penn @PennMedicine

[Kaihan Krippendorff @Kaihan]

Most brands measure customers. The best ones create fans. During #MarchMadness, people pick their team even when the odds say don’t. That’s Fan Lifetime Value. And it’s far more powerful than #CLV. #Strategy #FLV #CustomerExperience #BrandLoyalty @JovinHurry @faderp @Wharton @MackInstitute
https://t.co/ME6UJJXw52

[Peter Fader @faderp]

I can't wait to catch a Las Vegas A's game here in the not-too-distant future!

[Peter Fader @faderp]

The most fun I've ever had in a podcast interview: https://t.co/6RcdsxW3vm

[Peter Fader @faderp]

@ktulrich Amazing! What a privilege to meet him! A true living legend.

[Peter Fader @faderp]

Dumb guy on the Schuylkill...

[Peter Fader @faderp]

https://t.co/y7h1lG2v6S

[Peter Fader @faderp]

Here's a must-listen for anyone interested in #CustomerLifetimeValue or #CustomerBasedCorporateValuation. Many thanks to @brett__gordon for letting Daniel McCarthy and me talk about one of our favorite papers.

[Baker Retailing Center @BakerRetailCtr]

In this episode of "How I Wrote This," Dan McCarthy and @Wharton's Peter Fader break down their groundbreaking JMR paper on "Customer-Based Corporate Valuation," a strategy that's already getting buzz from @HarvardBiz and Wall Street.

Listen on Spotify:
https://t.co/0ID84qkyQG

[Peter Fader @faderp]

It happened again, but the third time isn't a charm...

[Peter Fader @faderp]

Today's @nytimes features (but ignores) @Wharton for the second time!

[Peter Fader @faderp]

@TheiaResearch Glad to chat -- email me...

[Peter Fader @faderp]

Hold on! Before we give up on gamma distributions, etc., let's also consider model parsimony, robustness, comparability, and inference. The scenario described below will lead to horrendous overfitting and all kinds of associated problems. Occam's Razor still applies!

[Felipe Montealegre @TheiaResearch]

niche post but so much of undergrad probability / stochastic processes is working with distributions that subpar representations of a certain model but have quite nice analytical properties (eg Gamma)

I suspect this requirement is gone with Cursor and we will focus on purely computational models that maximize fit to reality versus analytical tractability. This has probably been the norm among engineers for many years (? I suspect but am not sure) but will now become the norm across all mathematical disciplines thanks to Cursor

like "Okay just sample from Lognormal 75% of the time and Pareto(a=3.5) 25% of the time and let me see what that looks like"

This may be completely obvious to engineers but is a huge upgrade for those of us who studied economics / any modeling discipline pre-2020 and had to solve these things by hand and were extremely limited in the models we could build as a consequence

[Felipe Montealegre @TheiaResearch]

niche post but so much of undergrad probability / stochastic processes is working with distributions that subpar representations of a certain model but have quite nice analytical properties (eg Gamma)

I suspect this requirement is gone with Cursor and we will focus on purely computational models that maximize fit to reality versus analytical tractability. This has probably been the norm among engineers for many years (? I suspect but am not sure) but will now become the norm across all mathematical disciplines thanks to Cursor

like "Okay just sample from Lognormal 75% of the time and Pareto(a=3.5) 25% of the time and let me see what that looks like"

This may be completely obvious to engineers but is a huge upgrade for those of us who studied economics / any modeling discipline pre-2020 and had to solve these things by hand and were extremely limited in the models we could build as a consequence

[Peter Fader @faderp]

@TheiaResearch Hold on! Before we give up on gamma distributions, etc., let's also consider model parsimony, robustness, comparability, and inference. The scenario described above will lead to horrendous overfitting and all kinds of associated problems. Occam's Razor still applies!

[Peter Fader @faderp]

Last Meal:
https://t.co/fjDvjblhUS
Inspired by @Petercontibrown: https://t.co/ZuddX24vhL

[Deepak Bhatt @hellomrbhatt]

▶️ Watch now: https://t.co/e67fqZqUmN

@Wharton Professor @faderp, in Customer Centricity, argues that “the customer is always right” is outdated. Even giants like @Starbucks grow sustainably by focusing on the right customers, not all customers.

[Peter Fader @faderp]

You know it's fall in Philly when you dive into your first bowl of french onion soup at Parc. Nothing better!

[Zachery Anderson @Zachelicious]

@faderp @EA @SarahEToms Thanks Peter — great to see EA’s success through the long arc of customer-centric thinking