Which metrics matter for Web3 content?

The ones tied to your goal: retention for awareness, qualified conversations for pipeline, community and on-chain actions for adoption, citations for visibility.

Match the metric to the purpose of the piece. A launch clip exists to be shared, so track shares and the reach they earned. A founder interview exists to build trust, so track how much of it people watched and what they did afterwards. A FAQ page exists to answer buyers, so track which questions brought them and whether they went on to contact you.

Pick a small set and stick with it. Teams that report twenty numbers a month end up acting on none of them.

How do you measure video specifically?

Retention first, then the actions taken from the video, then the reuse it enabled.

Retention tells you whether the edit worked. If viewers leave at the ninety-second mark, the problem is at ninety seconds. Completion rate on short clips shows whether the idea landed. Click-throughs, link visits and community joins from the video show whether it moved anyone.

Count the downstream assets. One interview that became an article, a FAQ and a dozen clips has a different value from one that was posted once. We track where every deliverable from a shoot ended up.

  • Average watch time and completion rate per format
  • Referrals, sign-ups and community joins attributed to each video
  • Mentions, replies and quote posts, read for sentiment not just volume
  • Clips, articles and pages produced from the same footage

How do you measure AI visibility?

By asking the AI systems the questions your buyers ask and recording whether you appear, how you are described and who else is named.

Define the prompts that matter: the category questions, the comparison questions, the "best provider for" questions. Run them on the major AI platforms on a schedule and log the results. Over time the log shows your citation rate, the accuracy of how you are described, and the competitors who show up beside you. Our AI visibility work runs on exactly this tracking.

Connect it to content. When a new article or FAQ goes live, watch the prompts it was written to answer. A citation that appears after publication is the clearest proof the content worked.

How should content performance be reported?

Monthly, in one page, against the goals set at the start, with a decision attached to every number.

A report should end in action: make more of this, stop that, test this next. Show the trend, not just the month. Keep the vanity numbers in an appendix for anyone who wants them.

Review quarterly against the content calendar. The pieces that drew the right conversations define the next quarter's plan.

Frequently asked questions

Can we attribute on-chain activity to content?

Partly. Referral links, campaign-specific landing pages and timing analysis around releases give a usable picture, even if a perfect attribution chain does not exist.

What is a good retention rate for a Web3 explainer?

It varies by platform and length, so benchmark against your own earlier videos. The direction of the trend matters more than any single figure.

How often should AI citation tracking run?

Weekly is enough to see movement without reacting to noise. Monthly reports summarise the trend.