Tomorrow - April 18 - is the very last day to buy your ticket to Spryng. Last chance:

The problem with analytics and big data is it's data that you SEE. Three limitations with it. 1. not easily generalizable in new and changing environments 2. not transferable (prediction is HARD) 3. it's about correlation not causation Experimentation is data that you DO.

We're only about 20 years into online experimentation. And only 30-40 years in understanding how behavior and economics can be accounted for each other. The rough timeline of experimentation and the use of the randomized controlled trial is fun to consider.

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This new narrative will dominate a small group of agencies working on the bridge between digital transformation and practical data and CRO work.

Think about what the consultative and change management agencies/firms like Accenture/McKenzie/Bain have been doing and charging. But now get tactical with proper data management and decision systems based on science.

Narrative #1 above has driven CRO growth and industry $ for the past 10 years. This $ will be eclipsed by the potential in narrative #2.

This strategic narrative speaks to the need for testing and decision system to promote the workplace to attract better talent. Do you want to work for Walmart or Walmart Labs??

They need innovation and digital transformation to stay relevant, they need to attract modern talent that wants autonomy in work and needs an operational system (experimentation) that pushes decision making down corporate ladders.

This narrative is for larger, legacy companies (think any company that existed before the internet and still might have a fax machine). Large and mid-sized enterprises.

Audience #2. CEO This is the RESOURCER narrative. This is new, I don't see people talking about this but it's a HUGE hidden narrative. In small orgs, and even 'small' 100mil ecom orgs, the CEO is also the practitioner...so this narrative doesn't apply there.

It speaks to the democratization of the randomized controlled trial and science principles generally. The narrative here isn't new, but I do like to see it broken out like this, it makes it graspable and wieldable in convos.

Audience #1. CMO/CPO this is the PRACTITIONER narrative, and one that I'm sure most people reading this will be familiar with. It preaches to the choir. It speaks to the flood of (shitty) data at hand and the need to make decisions quickly.

1. there's a new world 2. there's stakes/costs in this new world 3. therefore there's a new game to play, with winners and losers 4. but there's a cheat code, a magic capability we should know about 5. and the proof? My two narratives for experimentation have two audiences:

Why do we experiment? What would the company do otherwise? What are the stakes? How do companies that experiment win? I've created two 'strategic narratives' using a rough version of Andy Raskin's framework for strategic narratives:

https://t.co/Y5RxmXoWQ3 Grateful to be featured in this article for @Shopify with @mrsharma @BenJLabay & @ContentVerve by @alexamcollins! Landing Page Design: How to Create Better Pages That Convert

What sites / job portals are you all using to recruit from Latin America?

What is it about companies like Airbnb, Uber, Dropbox, Slack, Twitch, YouTube that makes them so big and so successful? They all share this really interesting, really powerful theme: all these products get more valuable the more users are on them. It's about network effects.

I'm looking to hire someone for @CXLdotcom that wants "I built a kickass a media company inside a company" on their resume. Come build a media machine consisting of blog content, web shows, virtual and live events, podcasts, community, and more.

Agencies are hard to scale. @JohnathanDane started @KlientBoost in 2015. By 2020, they hit $10M and now this year they exceeded $20M ARR --> aiming to hit $100M / yr. As an agency! How? Listen to the latest episode of How to Win.