Performance analytics for content teams: The Content Technologist Measurement Model
How to measure your content's performance, regardless of the business model
data
A guide to content analytics: Why content professionals should care about their metrics
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.
Making impressions a thing of the past: Grounding your content performance data in reality
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.
What is content distribution? Navigating the necessary evils of algorithms
Instead of trucks and newsstands, in 2024 we have web- and social network-based aggregator systems that pipe content directly to consumers via software. Navigating algorithmic distribution is a necessary challenge. Here are some tips.
Keyword research: Our best explainers, deep dives, and curated outside resources
With Natural Language Processing evaluating most content online, keyword research is more important than ever. Here's everything we've ever published about it.
Redefining content strategy: Matching business needs with audience behaviors
How can we better elevate content strategy at the business level so that our roles, our passions, our work, and our brains are not considered replaceable?
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