10:56 pm - October 27, 2025

 

The London-based newspaper has seen improved subscription metrics following the launch of its AI-powered paywall.

The Financial Times has seen lower conversion rates but higher customer revenue since it introduced an AI-powered paywall a year ago.

Talking to Digiday, Fiona Spooner, managing director of the FT’s Consumer Revenue Group, said that while the average revenue per user (ARPU) has risen by 6% year on year, there has been a 10% drop in the conversion rate to paid subscriptions since the launch of the paywall. Despite this, Spooner views the results as a positive indicator of the model’s efficacy, stating that the focus is on “increased value over volume,” which is fundamental for long-term success.

The AI-driven model assesses around 50 data points from users to determine the optimal number of articles to present for free and the most effective subscription offers. Spooner did not specify the number of free articles available to users, but noted that the paywall is accessible to 95% of the FT’s global readership that has consented to data sharing. Part of its benefits includes the ability to retain subscribers at risk of cancelling by suggesting lower-tier products.

While the premium subscription remains priced at $75 per month with no discounts, the standard subscription can vary from 10% to 50% off, particularly for annual commitments. This new approach allows for a more personalised user experience, which Spooner notes is less resource-intensive compared to the previous manual method of segmentation.

The shift to the AI-powered paywall represents a significant departure from traditional dynamic paywalls, which have been the preferred method of large publishers such as the Wall Street Journal over the past decade. Spooner said: “A regular, dynamic paywall follows set rules, whereas our AI-powered paywall rewrites them in real time.” The technology continuously learns and adapts to user behaviours to enhance subscription offers rather than simply increasing the volume of subscribers.

Third-party vendors have also been developing AI-powered engines to increase subscriptions. Last year the UK-based Sub(x) was bought by Zuora which is integrating its services into its products.

Source: Noah Wire Services

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Noah Fact Check Pro

The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.

Freshness check

Score:
8

Notes:
The narrative discusses recent developments in media, including the Financial Times’ AI-powered paywall and restructuring at The Wall Street Journal. While it references current events, there is no clear indication of being outdated. However, specific dates for some events are not provided.

Quotes check

Score:
6

Notes:
The quote from Fiona Spooner about the AI-powered paywall is not verified against an original source. It appears to be a recent statement, but without further context or confirmation from other sources, its originality cannot be fully confirmed.

Source reliability

Score:
9

Notes:
The narrative originates from Digiday, a reputable media outlet known for its coverage of digital media and marketing. The information about the Financial Times and other media outlets is likely based on reliable sources.

Plausability check

Score:
8

Notes:
The claims about media companies adapting AI technologies for paywalls and content generation are plausible given current industry trends. However, specific metrics and outcomes could benefit from additional verification.

Overall assessment

Verdict (FAIL, OPEN, PASS): PASS

Confidence (LOW, MEDIUM, HIGH): HIGH

Summary:
The narrative appears to be based on recent and plausible developments in the media industry. It is well-supported by the context of AI integration in publishing. While some quotes lack direct verification, the overall reliability of the source and the plausibility of the claims support a positive assessment.

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