Skip the first 2:30 minutes if you’re in a hurry.

In this talk we’ll hear about three primary ways Facebook uses quantitative data:
• Optimizing small but important interactions
• Finding pain points in existing work flows
• Setting high level success metrics for large projects

Transcript can be found here

Do note that Adam is a product designer at heart..so don’t cringe too hard at this:

Seven percent at this point is millions and millions of users still on Facebook, ’cause this was a year and a half ago and when we were about 70 million users.

Have a good week ahead!;)

Imagine using that!

Don’t worry, this won’t be hitting the shelves anytime soon! But can you imagine if that is the sort of product that is being shipped simply because that’s what the data tells us?

Click here to read more:
Keyboard Frequency Sculpture

Relevance then enables hyper-personalized advertisements (think Facebook ads), which could be a key revenue stream of many startups.

Data availability has become easier too. And with all the API around, any app with a Facebook Connect feature can easily obtain a clear social graph of its users, a key component to understand any customer well.

Beautiful story huh?

Picture this:
You use a photo sharing app (like instagram) for a period, you launch it one day and a furniture advertisement pops up.
Merely because you have shown some buying interest in that new dining table on Facebook recently.

Creepy? A little. Relevant to customer? Yes, you are indeed looking for furniture.
But is it the right moment to deliver that message? Probably not.
After all, you are using the app to share your candid moments!

Relevant data needs a careful story teller, one that prepares customer mentally on the increase service or scope, and communicates at the right moment (related to the message).

—

It’s creepy that someone you just met knew everything about you.
So, think twice before you deliver your next hyper-personalized message to your new customers

By the way, anyone logs on to Facebook to read ads?

200 million devices
425,000 apps
14 billion app downloads
2.5 billion paid to developers

Hence that would amount to:
average 70 apps downloaded per iOS device
8.3 billion app revenue

now that’s alot of software revenue

Through Facebook and Twitter, it’s easy to retrieve operational data like message created and folders etc

Now what if we can see how frequent does a customer delete his social media content like photos or messages, does that imply he’s slightly OCD? Would that change how we sell something to him?

Just food for thought!