F#ck Data

F#ck Data

The inner dialog of many a marketer.

Me: New idea for the homepage.

Myself: What is it?

Me: A way of describing who we are and what we do. But better.

Myself: You should test it.

Me: Meaning?

Myself: A/B test it. With or without the new idea. Which performs best.

Me: What if it doesn’t win?

Myself: We don’t use it.

Me: I really believe in this idea.

Myself: I’m sure you do.

Me: How long are we going to test it for?

Myself: About three weeks.

Me: What if it loses for three weeks, and then has a positive bigger-picture impact?

Myself: It’ll still be in the data.

Me: How can bigger-picture be in the data?

Myself: We can only judge what we can measure.

Me: So we can’t see the bigger picture. In the data.

Myself: Is that a question?

Me: No.

Myself: The data will tell us what we should do.

Me: What data?

Myself: If B lost to A. The test failed.

Me: I know that.

Myself: What do you want to do?

Me: I don’t know.

Myself: What do you want to do?

Me: I’d like to punch a wall.

Myself: Grow up.

Me: I want it on our homepage regardless. It shows who we are.

Myself: Don’t be such a fucking HiPPO.

Me: I spent serious time on this idea.

Myself: So run a test.

Me: I am.

Myself: And what’s the outcome so far? In the test?

Me: It’s performing slightly worse.

Myself: So?

Me: So we need to find a way to make it work.

Myself: Or, you could trust the data and give up.

Me: Fuck off.

Myself: You proved it doesn’t work, all by yourself.

Me: I want it to work.

Myself: The data says it doesn’t.

Me: Fuck data.

Myself: Does that mean you’ll implement it regardless?


(Post originally appeared on Medium).

Brice McBeth

E-Commerce Got Hard. I'm Here To Help. | Scaling Brands thru DTC & Amazon | Built 2 Multi-Million Dollar E-Commerce Businesses

8 年

so great!

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Martin ?dman

Digital Strategist @ RISE | Driving Digital Growth, Marketing Solutions

8 年

Loved it. Funny and spot on for many of us. It also hides a deeper question: What if the idea or concept or product in itself is a long hauler. Let's say we'd like to change the way we portrait a product. Go a completely different way than history and competitors. Just beacuse we want to take another position. Or change the game in total. How much A/B-testing will it take to find out if the way is the right one or wrong one. How much stamina holds the data for you?

Natalie Smithson

Creating human connections in a digital world ???? Your Copy | Comms | Creativity partner for emerging tech . CreaTech . Immersive . AI ?? + Nova Is Lost .?? ? ? Creative Lab ???

8 年

I love this, Oli. Glorious start to my day!

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