Case Study: How Money.it eliminated data sampling and sped up editorial decisions by switching to Publytics
Apr 27, 2026 | Author: Anna Battistella
How newsrooms and publishers can fix data sampling, track live traffic accurately, and boost subscriptions.
TL;DR: The Money.it success story with Publytics
- Company: Money.it(one of Italy's leading financial and economic news outlets).
- Business model: Banner advertising and premium subscriptions.
- Replaced tool: Google Analytics 4 (GA4).
- The challenge: Overcoming the data sampling problem and the unreliability of real-time traffic reports.
- The result: Complete data certainty, instant reporting, and actionable insights, offered at a highly competitive price.
The Company: The importance of data in journalism
Money.it is an absolute point of reference for economic news in Italy. As an online newspaper, its influence extends beyond standard reporting; it actively shapes public discourse on macroeconomic policy, market trends, and personal finance. Like all major players in the publishing industry, their business model relies on a balance between advertising revenue and Premium subscriptions.
In this ecosystem, web analytics isn't just a utility metrics; it's the engine of daily operations. The newsroom needs to monitor live traffic constantly, pairing it with advanced metrics to guide their editorial strategy.

“come per tutti i siti di news, la consultazione costante del traffico live è [cruciale e] parte delle attività base della nostra redazione.”
"as with all news sites, constantly checking live traffic is [crucial and] a core activity for our newsroom."- Dimitri, Founder of Money.it
The Challenge: The limits of Google Analytics
Before switching to Publytics, Money.it used Google Analytics 3 and then Google Analytics 4. Although the team was familiar with the platform, their analysis was hindered by two massive bottlenecks:
- Data sampling: The data was sampled by GA4. Consequently, performance numbers would fluctuate depending on the generated report or the selected timeframe. For a newsroom making rapid editorial decisions, trusting it as a "single source of truth" was structurally impossible.
- Live traffic bugs: the real-time report suffered from a frustrating "flickering" issue, displaying random numbers for hours before stabilizing (a problem that seems to haunt newer Analytics iterations as well).
The editorial team was constantly forced to second-guess the numbers. They needed a reliable, precise, and uncompromising alternative.
The Solution: Why Publytics?
Money.it knew Publytics from its early beta testing phases. What convinced them to make the final leap was the trust in the team and a very clear technical promise.
“La promessa era di un tool che consentisse di fare tutto ciò che si poteva fare con GA3, correggendone i difetti. Promessa mantenuta pienamente.”
"The promise was a tool that could do everything GA3 did, while fixing its flaws. Promise fulfilled."
The migration process was painless. The onboarding simply required pasting a script, and the onboarding protocol required nothing more than implementing a lightweight script, while configuring custom events and specific tracking dimensions proved to be highly intuitive for the technical team.
Today, Publytics is not just a secondary tool, but the central hub of their workday:
"Stiamo più tempo su Publytics che sul nostro stesso sito!”
"We spend more time on Publytics than on our own website!"
The Results: Speed, precision, and optimized conversions
Switching to Publytics resulted in drastic time savings due to the platform's extreme responsiveness, processing complex queries in real-time. However, the real competitive advantage was something else entirely: data certainty.
Having a platform that "never lies about the numbers" allowed management to make foundational business decisions:
Balancing the editorial calendar:
Accurately defining the exact ratio of free daily content versus Premium subscriber-only content.
Reward and incentivize high quality categories and writers:
Knowing exactly the top performing authors in terms of pageviews and engagement allowed the Team to grow in a data-driven meritocratic perspective. Analyzing the most performing themes and niches allowed to choose the most performing clusters of content to double down the effort on.
Optimizing the conversion rate:
Accurately tracking the user journey allowed for highly targeted optimization of the conversion funnel. Monitoring and improving the conversion rates from anonymous users to paying subscribers.
Analyzing engagement:
Precisely tracking the evolution and behavior of users navigating the site with an active login session.
Conclusion
When asked if he would recommend Publytics to other companies,Money.it 's Founder confirmed exactly what we aim to achieve: building the best analytics platform for publishers and newsroom.
"Per il mondo editoriale, non credo ci sia alcuna alternativa valida. Inoltre, costa sensibilmente meno di praticamente tutte le altre soluzioni hosted (e il self-hosting, su certi numeri, è impraticabile se si vuole avere certezza sui dati e velocità). Ne servono altre? “
"For the publishing world, I don't think there is any valid alternative. Plus, it costs significantly less than virtually all other hosted solutions (and self-hosting, at a certain scale, is unfeasible if you want data certainty and speed). Do I need to say more?"
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