Know which articles are losing traffic before your next audit even starts.
Pogupo Kujaso checks your published library on an ongoing basis, flags the pages that are quietly sliding, and explains the likely cause. Every alert becomes a task assigned to whoever on your team can act on it.
Built for editorial teams of two to ten people publishing twice a week or more.
Quarterly audits catch problems months after they started
A typical content audit means exporting Google Analytics, cross-referencing Search Console, and tagging a spreadsheet by hand. By the time a decline gets flagged this way, the article has often been sliding for ten or twelve weeks. Whoever is assigned the fix has to reconstruct the history first, then guess at a cause.
Pogupo Kujaso replaces the once-a-quarter scramble with continuous monitoring. Each article gets a baseline the moment it starts publishing traffic, and any meaningful deviation from that baseline gets flagged automatically, with a suggested reason attached.
Six ways it changes how your team handles content upkeep
Continuous decline detection
No manual data pulls. Articles are checked against their own historical baseline on a rolling basis, so drops surface as they happen rather than at quarter's end.
Root-cause tagging
Alerts are labeled with a likely cause: SERP volatility, keyword cannibalization, content freshness decay, backlink erosion, intent shift, or a technical regression.
Role-based to-do lists
Writers see rewrite tasks, editors see structural changes, strategists see internal linking opportunities. Nobody has to sort through a shared spreadsheet to find their part.
Priority scoring
Tasks are ordered by estimated traffic impact and effort required, so a small team can address the articles that matter most first.
Change tracking
Every edit made in response to an alert is logged, along with the traffic pattern that followed, building a record of what tends to work for your content.
Built for lean teams
Designed for editorial teams of two to ten people publishing at least twice a week, without the setup overhead of enterprise analytics suites.
From connected accounts to a finished task list
Connect your data
Link Google Analytics and Search Console. Pogupo Kujaso pulls in traffic history for every published URL, no tagging required.
Baselines are set
Each article gets its own expected traffic range based on its publish date, seasonality, and prior performance.
Alerts surface
When an article drifts outside its expected range, an alert appears with a tagged likely cause and supporting data.
Tasks get bundled
Alerts are grouped into a prioritized to-do list, sorted and routed to the team member whose role matches the fix.
Every role gets a different view of the same alert
A single decline alert can generate several kinds of work. A writer might need to update an outdated statistic. An editor might need to restructure headings for readability. A strategist might see a linking opportunity from a newer article. A developer might need to check a broken redirect.
What's included, laid out plainly
Two areas of coverage: finding the problem, and organizing the fix.
Detection & Diagnosis
- Traffic trend monitoring for every published URL
- Decline threshold alerts tuned to your publishing cadence
- Cause tagging across six common decay patterns
- Historical comparison against each article's own baseline
Action & Workflow
- Prioritized to-do lists generated automatically
- Tasks routed by role: writer, editor, strategist, developer
- Change log showing what was edited and when
- Recheck scheduling once updates go live
Curious how this looks against your own content library?
A walkthrough takes about twenty minutes and uses a sample of your published articles to show how alerts and task lists would look in practice.
Book a Walkthrough