The needs of digital content businesses in late capitalism differ starkly from legacy publishing models. Explore how automation, ad-supported media, subscription culture and publishing culture are changing drastically in the 2020s.
Perpetuated primarily by startups hungry for users and the entrepreneurial agencies and thought leaders who serve them, bad data begets worse expectations. Rapid rocketship visibility graphs imply that business results will follow—almost never the case long-term.
Before you choose a platform for yourself or your company, think seriously about what how you want to create, manage, distribute, maintain and monetize your content.
Sometimes, mid-planning, you'll hear something like, "We have to build out an entirely new content campaign that doesn't fit into our existing plan or budget because Wolverine is Canadian and his skeleton is infused with adamantine."
You can't predict the future, especially in publishing. You never know exactly which pieces of content will be hits and which will be a waste of time and money. But you can, as the finance folks have taught us, forecast your impact.
ke it or not, it's up to us, the people who enjoy making things, to advocate for what we value and to value what we create. We must, on a base level, understand our numbers.
Everyone else's numbers are inflated, but your own data is your gold. Learn to trust your owned data and make decisions with verifiable performance metrics.
Everything we've ever written about navigation, information architecture, and structuring content.
With Natural Language Processing evaluating most content online, keyword research is more important than ever. Here's everything we've ever published about it.