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Content Performance Metrics: Score Each Article in Four Stages

Content performance metrics grouped into four stages for each article (found, read, acted, lasted), a scorecard that turns them into keep, update, merge or remove decisions, and a fixed-window check for decay.

Oliver Reed Published Nov 3, 2026 5 min read Growth & Marketing
Demo workspace. "Continue" is the share of article views followed by another pageview in the same session.Sample data

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Page views tell you an article was opened, not whether it worked. This guide groups content performance metrics into four stages for each article (found, read, acted, lasted), shows a scorecard that turns them into keep, update, merge or remove decisions, and a fixed-window check for decay.

What you will learn

  • Score every article on four stages: found, read, acted, lasted
  • Credit actions to the article where the session started, and watch downstream pageviews
  • Detect decay by comparing the latest four weeks with the peak four weeks

Four stages of content performance

Content performance metrics tell you whether an article earns its place. Lists of 16 metrics are easier to use when grouped into the four things an article has to do:

  1. Get found: impressions and clicks in search, visitors by channel.
  2. Get read: time on page, scroll depth, whether readers continue to another page.
  3. Lead to action: sign-ups, trials, demo requests or purchases from sessions that started on the article.
  4. Last: whether traffic holds over months or decays.

An article can fail at any stage, and each failure has a different fix. That is why one number (page views) is not enough. The table lists the metrics per stage and where each comes from.

StageMetricSource
FoundSearch impressions, clicks, CTR, positionSearch console
FoundVisitors by channelAnalytics
ReadAverage time on page, scroll depthAnalytics
ReadContinue rate, downstream pageviewsAnalytics
ActedConversions from sessions that entered on the articleAnalytics goals
LastedLatest 4 weeks vs peak 4 weeksAnalytics

Compare articles of the same type over the same window.

Score each article

Put the stages side by side per article. The example scores five posts over 90 days:

  • Event tracking guide: found, read and converting. Keep and link to it from newer posts.
  • Funnel analysis: good reading and conversion, but organic visitors have dropped to half the peak. Update it.
  • Industry news post: high traffic, but short reads and no sign-ups. It brings visitors who are not your audience. Leave it alone; do not use it as a model.
  • Old glossary-style post: low traffic and overlaps a newer page. Merge it into that page with a redirect.
  • New comparison post: too early to judge.

Use the same window for all articles, and compare articles of the same type: a reference page and a news post do different jobs.

app.tapcub.com/web/pages

Blog scorecard · last 90 days

Organic visitors, sign-ups from entry sessions
ArticleOrganic visitorsAvg timeContinueSign-upsDecision
Event tracking guide8,4204m 10s38%96Keep
Funnel analysis3,1503m 45s34%41Update (52% of peak)
Industry news post11,9000m 40s6%3Leave
Old metrics glossary post6101m 05s12%1Merge
New comparison post4303m 20s29%5Too early
Sample data
Demo workspace. "Continue" is the share of article views followed by another pageview in the same session.

Turn metrics into decisions

PatternLikely causeAction
Impressions high, clicks lowTitle and description do not match the queryRewrite title and description
Clicks fine, time short, few continueContent does not answer, or the answer is buriedRestructure; answer first
Read well, no actionsNo next step for the readerAdd a relevant call to action and links
Traffic fallingOutdated or outrankedUpdate with current facts; check competing pages
Two articles split one topicOverlapMerge and redirect

Click-through rate from search is covered in how to calculate CTR; bounce and exit on article pages in bounce rate vs exit rate.

Credit actions fairly

Readers rarely sign up on the article itself. Count actions from sessions that entered on the article, not only those whose last page was the article. A good secondary signal is downstream pageviews: pages viewed later in the same session after the article. A post that sends many readers on to product or pricing pages is doing its job even before anyone signs up.

Spot decay with fixed windows

Content decays slowly, and a month-on-month comparison hides it behind seasonality. Use fixed windows: compare the average of the latest four weeks with the average of the best four weeks in the last quarter. A page now under 70% of its peak is decaying; under 40% is severe. Check whether only search dropped or all channels; if only search, the cause is usually ranking, not interest.

Feed the result back into the content plan alongside the marketing KPIs the content team owns.

Content performance in TapCub

The Pages report shows per URL pageviews, visitors, entries, exits, average time, bounce rate and downstream pageviews (pages). Goals show conversions with a breakdown by entry page, so you can see which articles start converting sessions (goals).

With Google Search Console or Bing Webmaster connected, Search performance shows clicks, impressions, click-through rate and average position by page and query, and marks top-10 pages with below-median click-through rate as the first to fix. Content decay looks at 13 weeks of visitors and compares the peak four-week mean with the latest four weeks: under 40% is severely decaying, under 70% with a downward slope is decaying (SEO & content decay). See also time on page and engagement metrics.

FAQ

What are content performance metrics?

Measures of whether content gets found, read, leads to action and keeps its traffic: search impressions and clicks, time on page and continuation, conversions from entry sessions, and traffic trend.

How do you measure content performance?

Pick a fixed window, score each article on the four stages, compare articles of the same type, and turn each pattern into keep, update, merge or remove.

Which metric matters most for blog posts?

There is no single one. For most business blogs, conversions from sessions that started on the post, read alongside time on page and search clicks.

How do I know if content is decaying?

Compare the latest four weeks of visitors with the best four weeks in the last quarter. Below 70% of the peak is a decline worth checking.

Are page views a good content metric?

Only for reach. Page views do not show whether people read, acted or came back.

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Oliver Reed

Product Experience Specialist

Explores usability, user journeys, and feature adoption through practical examples of onboarding and everyday product use.

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