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	<title>Decisions Archives | Audiencers</title>
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		<title>Subscriptions grow up: 7 reader revenue lessons from Innovation in Media report 2026/27</title>
		<link>https://theaudiencers.com/subscriptions-grow-up-7-reader-revenue-lessons-from-innovation-in-media-report-2026-27/</link>
		
		<dc:creator><![CDATA[Madeleine White]]></dc:creator>
		<pubDate>Fri, 16 Oct 2026 17:43:00 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Guides]]></category>
		<category><![CDATA[Retention]]></category>
		<category><![CDATA[Subscription]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=55202</guid>

					<description><![CDATA[<p>Subscription growth without traffic, bundles that cut churn, games for habit and membership for belonging - lessons from INNOVATION report</p>
<p>The post <a href="https://theaudiencers.com/subscriptions-grow-up-7-reader-revenue-lessons-from-innovation-in-media-report-2026-27/">Subscriptions grow up: 7 reader revenue lessons from Innovation in Media report 2026/27</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph">Every year, <a href="https://www.fipp.com/news/innovation-in-media-world-report-2026-2027-launch/?" target="_blank" rel="noreferrer noopener">INNOVATION Media Consulting&#8217;s Innovation in Media report,</a> published for WAN-IFRA and FIPP, takes stock of trends in the industry and, in particular, how publishers are making money. The 2026/27 edition&#8217;s theme is that the model hasn&#8217;t broken, but it has matured.</p>



<p class="wp-block-paragraph">Reader revenue is now the main source of income for many news businesses, making up 46% of total revenue for the median news business unit, overtaking advertising. The Reuters Institute adds that the share of people paying for (or using) paid online news has nearly doubled over the past decade, to almost one in five adults across 20 markets.</p>



<p class="wp-block-paragraph">But the report is clear that the most engaged readers have largely already converted, acquisition is slowing and fewer new users are entering subscription funnels. So what comes next? We&#8217;ve pulled out the trends and case studies that matter most for reader revenue teams to share 7 lessons to help overcome this challenge.</p>



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<pre class="ta-text">> Subscribers keep growing while traffic falls. At the NYT, WSJ and The Guardian, growth now comes from higher prices (up 5% on average in 2025), upgrades and bundles, not bigger audiences

> With monthly churn often below 5%, small retention gains have an outsized revenue impact. Leading publishers treat pricing as a variable and the cancellation journey as a moment to reinforce value

> Bundles pay off through retention, not price. NYT bundle subscribers pay slightly less per user but churn significantly less. At Mediahuis, subscribers who activated the RouteYou app churned around 26.5% less

> Build outward from your journalism. Bundle additions closely tied to editorial content stick, bigger leaps don't. For membership, spell out whether readers pay for access, a cause or a community</pre>
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<h2 class="wp-block-heading">1. Subscriber growth has decoupled from traffic growth</h2>



<p class="wp-block-paragraph"><a href="https://digiday.com/media/in-graphic-detail-subscriptions-are-rising-at-big-news-publishers-even-as-traffic-shrinks/" target="_blank" rel="noreferrer noopener">Digiday&#8217;s reporting</a>, cited in the report, shows that The New York Times, The Wall Street Journal and The Guardian have continued to grow their subscriber bases (in some cases, faster than before) while their overall traffic declined over a 12-month period.</p>


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<p class="wp-block-paragraph">That growth isn&#8217;t coming from bigger audiences. It&#8217;s coming from getting more value out of existing ones:</p>



<ul class="wp-block-list">
<li>Subscription prices rose by an average of 5% year over year in 2025</li>



<li>Publishers pushed subscribers towards higher-value tiers and bundles</li>



<li>Meanwhile, median audience reach across the hundreds of publishers tracked by INMA fell by double digits year over year, driven by weaker news cycles, falling platform referrals and competition from creators</li>
</ul>



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    <p>The post <a href="https://theaudiencers.com/subscriptions-grow-up-7-reader-revenue-lessons-from-innovation-in-media-report-2026-27/">Subscriptions grow up: 7 reader revenue lessons from Innovation in Media report 2026/27</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<item>
		<title>Why your most valuable app readers are probably invisible</title>
		<link>https://theaudiencers.com/why-your-most-valuable-app-readers-are-probably-invisible/</link>
		
		<dc:creator><![CDATA[James Webb]]></dc:creator>
		<pubDate>Mon, 12 Oct 2026 11:00:03 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Apps]]></category>
		<category><![CDATA[Engagement]]></category>
		<category><![CDATA[Guides]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=54802</guid>

					<description><![CDATA[<p>News app engagement: why offline readers, household subscriptions and anonymous users are the retention levers publishers keep missing.</p>
<p>The post <a href="https://theaudiencers.com/why-your-most-valuable-app-readers-are-probably-invisible/">Why your most valuable app readers are probably invisible</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph">James Webb is a product leader with 15 years of experience helping news subscription businesses boost subscriber retention. Most recently, he served as Apps Group Product Manager at The Economist, and previously as Product Director at the FT.  In this article, James looks at the 2026 Pugpig Media App Report and argues that the value is hiding where standard metrics don&#8217;t look.</p>



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  <pre class="ta-text">&gt; Nearly half of app users are anonymous, and most publishers barely optimise to convert them. James Webb, formerly Apps Group Product Manager at The Economist and Product Director at the FT, reads Pugpig's 2026 Media App Report and argues the value is hiding where standard metrics don't look

&gt; Offline is not an edge case. At both The Economist and the FT, offline was around 10% of screenviews and cellular around 30%. If half those cellular sessions hit patchy signal, roughly one in four opens happens with the app on the back foot, and session analytics are flaky in exactly those conditions, so it is undercounted

&gt; Digital still prices like it is scarce: one person, one paywall, one login, so a household either buys four subscriptions nobody can justify or three people free-load invisibly. The Times gives subscribers free bonus accounts and found those users 76% more likely to say they would stay, with churn under 0.01%. The New York Times charges for the same idea, three extra logins at $30 a month against four separate $25 subscriptions

&gt; Only 26% of publishers say their app's main job is acquisition, yet apps are full of non-subscribers who hit a paywall after a single article. Habits take months, not one read. The Times' £1 for three months gives someone a chance to form one; a seven-day trial does not</pre>
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<p class="wp-block-paragraph"><a href="https://www.pugpig.com/pugpig-media-app-report-2026/" target="_blank" rel="noreferrer noopener">Pugpig&#8217;s 2026 Media App Report</a> is, on the surface, a story about apps being taken seriously again. Engagement is up, A/V, games, push and personalisation are the priorities of the year. </p>



<p class="wp-block-paragraph">However, a few aspects caught my attention: first, how the report handles offline usage; second, what publishers (and this report) seem to be missing regarding household engagement opportunities; and third, how restrictive most publishers are when it comes to sampling.</p>



<p class="wp-block-paragraph">Take the standard funnel, or rather, loop ;). We’re all familiar with the sequence: acquire, activate, engage, retain etc. It’s surprising that nearly half of app users are anonymous, but that most publishers barely optimise anything to convert them. The habit-forming features sit at the bottom of the adoption table, with games at 16% and video at 22%. Subscriber retention, the KPI that tends to be most important, is one of the least well measured, with only a small fraction reporting advanced capability. I have some thoughts on where publishers could do much better for themselves.</p>



<p class="wp-block-paragraph">> <a href="https://theaudiencers.com/the-super-user-effect-what-the-pugpig-media-app-report-tells-us-about-reader-engagement-in-2026/" target="_blank" rel="noreferrer noopener">Audiencers&#8217; summary of the Pugpig Media App Report 2026 is here</a></p>



<h2 class="wp-block-heading">1. Offline is not an edge case</h2>



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            The Pugpig report treats cellular and offline usage as a small, almost incidental slice of total screenviews. I find this hard to believe.</p>


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<p class="wp-block-paragraph">For readers who commute, fly and move through cellular blackspots constantly (at least in the UK), that slice is nowhere near as small as the report suggests. At the Economist offline and cellular usage represented around 10% and 30% respectively, and at the FT it was broadly the same. If half of those cellular sessions hit a patchy signal, then roughly one in four opens happens with the app on the back foot. Before we rebuilt The Economist app natively, that experience was painfully brittle. And our best subscribers were paying the price (and letting us know about it in volumes).</p>



<p class="wp-block-paragraph">Think about who reads on a tube platform, in a station concourse or at thirty thousand feet. They are people who deliberately brought your content with them, likely your most loyal base, and it is exactly where too many apps still don’t handle things gracefully: articles that half-load, images that spin, editions that won&#8217;t sync, glitchy ad reloads, saves that fail without telling anyone.&nbsp;</p>



<p class="wp-block-paragraph">There is a measurement problem too. Session analytics under these conditions are notoriously flakey, so are probably undercounted. The report&#8217;s engagement numbers are likely a floor, not a ceiling, for audiences who read on the move. Treat offline and low connectivity as a retention issue, and test your edition, save and caching with the network switched off, as well as just slow.</p>



<p class="wp-block-paragraph">Of course, Product Designers always design for state (eg connectivity), but in these constrained times, this is often the polish that gets deprioritised, and then forgotten about, by teams under pressure to deliver to tight deadlines. Publishers who’ve raised the bar won&#8217;t necessarily be the ones with the flashiest new formats &#8211; though they’ll likely have deeper pockets. Pugpig&#8217;s own data half-confirms this: mobile-plus-editions apps, the least fashionable format in the report, still outperform mobile-only apps on almost every engagement measure. My hunch is the same pattern holds for reliability under poor connectivity. It&#8217;s unglamorous, it won’t make your slideware pop when selling it to stakeholders, but it&#8217;s exactly the kind of thing that decides whether a reader who trusted you on a delayed train chooses to open your app tomorrow, and the next day.&nbsp;</p>



<h2 class="wp-block-heading">2. Digital still prices like it&#8217;s scarce</h2>



<p class="wp-block-paragraph">Pre-internet, it was fair game for anyone else in the house to read the primary reader’s copy of the newspaper. In the subscriptions era, digital has done the opposite from day one: one person, one paywall, one login, and a family of four either buys four subscriptions nobody can justify, or one person subscribes and everyone else free-loads, unconverted and invisible.</p>



<p class="wp-block-paragraph">Very few publishers seem to have figured out that this is simply a design choice, and a poor one for tracking true engagement behaviours.</p>



<p class="wp-block-paragraph">There are only three that spring to mind. The Times led with &#8220;bonus accounts&#8221; some time last year, letting subscribers share access with family or friends at no extra cost, essentially recreating the breakfast-table version of the newspaper digitally. This was inspired by Le Figaro’s <a href="https://theaudiencers.com/how-le-figaro-limits-password-sharing-amongst-subscribers/" target="_blank" rel="noreferrer noopener">play to reduce password sharing</a>. The New York Times has introduced a paid family tier, up to three extra logins for $30 a month total rather than four separate $25 subscriptions, each with its own personalised account and its own Wordle streak. </p>



<p class="wp-block-paragraph">The Times treats sharing as a retention feature you don&#8217;t charge extra for. Everyone in a shared account has their own login. A family plan with individual, personalised accounts isn&#8217;t just cheaper access, it&#8217;s four separate chances to turn an anonymous user into a known user, to learn what they read, deepen the relationship with features suited to them, rather than one subscriber and one or two freeloaders who never show up in a single engagement analysis. </p>


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<figure class="aligncenter size-large is-resized"><img data-dominant-color="d9e1ec" data-has-transparency="false" decoding="async" width="966" height="646" sizes="(max-width: 966px) 100vw, 966px" src="https://theaudiencers.com/wp-content/uploads/2026/10/image-4-1.png" alt="The long game growth loop of family subscriptions" class="wp-image-54805 not-transparent" style="--dominant-color: #d9e1ec; aspect-ratio:1.4937965260545907;width:602px;height:auto" srcset="https://theaudiencers.com/wp-content/uploads/2026/10/image-4-5.png 966w, https://theaudiencers.com/wp-content/uploads/2026/10/image-4-300x201.png 300w, https://theaudiencers.com/wp-content/uploads/2026/10/image-4-767x513.png 767w, https://theaudiencers.com/wp-content/uploads/2026/10/image-4-332x222.png 332w, https://theaudiencers.com/wp-content/uploads/2026/10/image-4-664x444.png 664w, https://theaudiencers.com/wp-content/uploads/2026/10/image-4-688x460.png 688w" /></figure>
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<p class="wp-block-paragraph">From there a loop forms. An invited member gets their own login, activates on their own terms, and their usage compounds. Household engagement makes cancelling harder, and a member with a year of habits behind them is a far better candidate to subscribe in their own right than a cold prospect.</p>



<p class="wp-block-paragraph">It may take time, but it works. The Times found people using shared bonus accounts were 76% more likely to say they&#8217;d stay subscribed, and churn on those accounts ran under 0.01%. Shared use turns a single subscription into a sticky household relationship.</p>



<p class="wp-block-paragraph">NYT&#8217;s reasoning for the family tier was explicit: people with a lighter relationship to the paper become far more likely to convert once a friend or family member brings them in. When they convert or renew the household plan, they can invite someone else, expanding reach household by household.</p>



<p class="wp-block-paragraph">Put this next to the anonymous-user problem from earlier and the opportunity becomes obvious. Nearly half of app users are anonymous, and most publishers barely optimise to convert them. A family member added to a household plan is the friendliest version of that anonymous user: someone already inside the tent, already reading, and one step away from being known.</p>



<p class="wp-block-paragraph">The ones building this loop have figured it out. They&#8217;re turning the thing publishers tend to treat as leakage into the fastest lever they have for both retention and growth.</p>



<h2 class="wp-block-heading">3. Be more generous with sampling/trials</h2>



<p class="wp-block-paragraph">According to the Pugpig report, only 26% of publishers say the main role of their app is subscriber acquisition, yet many apps attract plenty of non-subscribers who are far less engaged than payers. I&#8217;ve read countless angry reviews from people who followed a prompt to download the app and hit a paywall after a single article. Habits take weeks or more likely months to bed-in, not one read. The Times&#8217; £1 for three months is a far better way to let new entrants get a feel for the product than a seven day trial ever will.</p>



<p class="wp-block-paragraph">Apps are getting better at keeping the people they already have. Meaningful opportunities are hiding where standard metrics don&#8217;t bother to look: the reader with no signal, the family member re-using a login, and the anonymous user we ask to pay before they&#8217;ve had a chance to connect with your journalism. How can we expect younger people to adopt news apps that weren’t even designed for how they want to consume media, if we don’t even give them a decent chance to try it out?</p>



<p class="wp-block-paragraph"><em>James Webb has led mobile and web product groups at The Economist and the Financial Times. For a deeper look at why 82% of publishers misdiagnose their delivery bottlenecks, read</em> <a href="https://thelongloop.substack.com/p/the-capacity-myth-why-your-product" target="_blank" rel="noreferrer noopener"><em>The capacity myth: why your product bottleneck is actually a focus problem</em></a><em>, on Substack.</em></p>



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    <p>The post <a href="https://theaudiencers.com/why-your-most-valuable-app-readers-are-probably-invisible/">Why your most valuable app readers are probably invisible</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>Metrics aren&#8217;t neutral: they reflect the interests of whoever built them</title>
		<link>https://theaudiencers.com/metrics-arent-neutral-they-reflect-the-interests-of-whoever-built-them/</link>
		
		<dc:creator><![CDATA[Sophie Chauvet]]></dc:creator>
		<pubDate>Wed, 07 Oct 2026 22:38:18 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
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					<description><![CDATA[<p>Why audience metrics reward whoever is already biggest — and what adopting platform analytics really commits you to.</p>
<p>The post <a href="https://theaudiencers.com/metrics-arent-neutral-they-reflect-the-interests-of-whoever-built-them/">Metrics aren&#8217;t neutral: they reflect the interests of whoever built them</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph">Ever wondered why audience metrics don’t seem to fully capture the truth, and what the long-term, macro effects are on news media? This is the issue that Sophie Chauvet investigated during her PhD research, and a topic she shared on stage at our recent Audiencers&#8217; Festival in Paris. Metrics are misunderstood, and following them blindly may have high costs for journalists and the democratic health of media landscapes. Opening the black box however may offer clues as to how to really seize their potential. It lies in seeing them for what they really are: not a defined reality, but indicators of power dynamics at the heart of internet economics, mostly defined by statistics, and with very real risks for media diversity and journalistic autonomy.</p>



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  <pre class="ta-text">&gt; Metrics look objective. They are not. Every metric carries the business interests of whoever designed it, so a newsroom running on off-the-shelf analytics is optimising for someone else's goals

&gt; Platform analytics are built to maximise ad inventory and time on network. If you sell subscriptions, you are measuring success with a tool designed for a different business model

&gt; The free analytics smaller outlets use are modelled on what the biggest outlets negotiated with platforms. The advantage compounds: winner-take-all monetisation, hierarchies that are hard to challenge, and incentives to consolidate

&gt; Chasing volume shows up in the copy. Articles translated into several languages, wire reports pasted in, headlines bent towards trending keywords. In the AI era the suggestions are no longer keywords but whole sentences, which risks framing social issues more stereotypically

&gt; Goodhart's law: once a metric becomes a target, it stops being a good metric. The argument is not to abandon analytics, but to ask of every number on your dashboard who designed it and what behaviour it rewards

Based on the PhD research of Sophie Chauvet.</pre>
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<h2 class="wp-block-heading">The paradox: Are metrics bullsh*t?  </h2>



<p class="wp-block-paragraph">In the last 20 years, newsrooms have seen the ubiquitous rise of audience analytics. These came with a promise: gauging who and how many people consumed news online, and how to better optimise resources to ensure maximum efficiency and profitability. </p>



<p class="wp-block-paragraph">This promise went way beyond simply knowing audiences better: it implied re-structuring newsrooms, integrating data science expertise, and welcoming the new rules of digital content distribution in editorial strategies, often hidden behind simplified, easy-to-use yet inscrutable dashboards. </p>



<p class="wp-block-paragraph">At the same time, as clickbait content rose with the hope of it funding more serious, investigative and high democratic impact news, journalistic identities were shaken to their core: what does it mean to be a journalist in service of the people, if what the people want – represented by these numbers, is to be entertained? </p>



<p class="wp-block-paragraph">And yet, 20 years after analytics first appeared in newsrooms, even digital-native news outlets that made the choice to fully abide to metrics, such as <a href="https://unherd.com/2026/05/algo-killed-the-new-media-star/" target="_blank" rel="noreferrer noopener">BuzzFeed and Vice Media</a>, don’t seem to be doing so well, while others have more successfully ridden the digital transition wave. How can we explain this paradox? Some would argue, metrics are bullshit. </p>



<p class="wp-block-paragraph">With <a href="https://www.meta-media.fr/2019/12/23/journalisme-et-metriques-les-questions-a-se-poser.html" target="_blank" rel="noreferrer noopener">this rumor in mind</a>, and a passion for journalism’s service to society, I started my research in 2018 to figure out what was at stake. I wanted to understand the paradox of metrics, why they were so elusive, and what and how their broader effects might harm or benefit news outlets. </p>



<p class="wp-block-paragraph">What I have found is that metrics are neither bullshit, nor a catch-all solution to news outlets’ jeopardised financial situation, but rather complex tools deeply re-shaping media landscapes according to both brute and hardly changeable statistical parameters, and more whimsical, mostly platforms-led power dynamics that derive from the statistical authority inscribed in the black box of metrics. </p>



<h2 class="wp-block-heading">Opening the black box: tools and questions </h2>



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            What I have found, in a nutshell, is that the bigger the size, the bigger the wins. But to find out about this simplified insight, I first had to take a step back from newsrooms, find the right tools, and ask key questions in order to open the black box of analytics the best I could.  </p>



<p class="wp-block-paragraph">First, where do metrics come from? A genealogical approach proved to be deeply informative.  </p>



<p class="wp-block-paragraph">Second, who profits from metrics? Following the money, and identifying who defines them, helped identify the main technical and political dynamics at their core. That’s where the macro approach became fruitful. </p>



<p class="wp-block-paragraph">Third, how realistic are metrics? There, I investigated what happens when a quantified measurement captures a social process, and what gets erased.  </p>



<p class="wp-block-paragraph">After analysing hundreds of white papers, events, and interviews with practitioners across the data monetisation ecosystem, including ad tech, platforms, measurement and analytics companies, there was a single metaphor that helped to understand the stakes of metrics, and why they may negatively re-shape media landscapes: confusing the map for the territory, or how metrics tend to be self-fulfilling prophecies, thus impacting reality based on biased premises. </p>



<h2 class="wp-block-heading">The crux of metrics: Self-fulfilling prophecies, or why we confuse the map for the territory</h2>



<p class="wp-block-paragraph">Confusing the map for the territory is an expression borrowed from Alfred Korzybski, which is often used in quantification studies to describe the nefarious impacts of ill-used measurement. It means thinking the measurement model associated with an object is as real as the object. In the context of metrics, this helps to understand why there might be some confusion as to whether clicks mainly represent the audience’s interest, when in fact, they also represent the interests of those who built the model of metrics.  </p>



<p class="wp-block-paragraph">Let’s break this down further, by answering the first question: where do metrics come from? Here, the history of audience measurement, as told among others by <a href="https://journals.openedition.org/communication/2633" target="_blank" rel="noreferrer noopener">Cécile Méadel</a>, <a href="https://cup.columbia.edu/book/audience-evolution/9780231520942/" target="_blank" rel="noreferrer noopener">Philip Napoli</a>, and <a href="https://shs.cairn.info/article/HERM_037_0203/pdf?lang=fr" target="_blank" rel="noreferrer noopener">Josiane Jouët</a>, is particularly enlightening. To practitioners in companies such as Médiamétrie and Nielsen, who historically developed studies on audience measurement on television and radio thanks to their Audimat and Peoplemeter, the audience was understood to be more of a convention than a reality, a means to gauge advertising revenue, with measurements mostly agreed upon by the different media involved.  </p>



<p class="wp-block-paragraph">As such, measurements hold a kernel of truth, but they also serve a function of coordination between players in order to synchronise, predict and project financial benefits, with measurement containing an added layer of filters based on the parties’ main interests, which are also audited in order to ensure some degree of fairness within the ecosystem.  </p>



<p class="wp-block-paragraph">With the rise of the internet in the late 90s, the first analytics companies, such as Urchin in 1998 that was acquired by Google, emerged with the promise of more realistic measurement. The internet was sold at the time as a new medium where clicks served as the new proxies for direct and real-time feedback from the public, through personal computers.  </p>



<p class="wp-block-paragraph">This promised to help bypass the often heavy, costly, and slow studies of more traditional audience measurement. This promise was then thought to be fulfilled exponentially with the rise of social media and their troves of personal data waiting to be collected at a scale never seen before.  </p>



<p class="wp-block-paragraph">This helps explain why the public is sometimes conflated with analytics, or why the map is confused for the territory, as analytics tools entered the newsroom in the 2010s, a field traditional measurement companies hardly ever dared to enter so as to protect journalistic integrity from advertising’s interests.  </p>



<h2 class="wp-block-heading">Who profits from confusing metrics? </h2>



<p class="wp-block-paragraph">The rise of analytics in newsrooms coincided with the rise of platforms and real-time data collection at scale. Here, the answer to the second question, who profits from metrics, is answered. Indeed, one aspect that contributed to making platforms so powerful is that their models rely partially not only on providing real time data on website use, but also on collecting this data back to improve their own models, by maintaining a more global overview on all the websites they are implemented on.  </p>



<p class="wp-block-paragraph">With this broader perspective on audience flows, they are able to optimise advertising models which are key to their financial monopoly over the internet. These models however are black-boxed, as platforms are rarely audited.  </p>



<p class="wp-block-paragraph">This has severe consequences on the internet ecosystem. For example, <a href="https://www.lefigaro.fr/medias/google-condamne-a-verser-126-millions-d-euros-a-plusieurs-medias-pour-pratiques-anticoncurrentielles-20260630" target="_blank" rel="noreferrer noopener">recent trials</a> have proved that Google have abused this position of power over data flows by choosing specific, opaque algorithms that prioritised them over news outlets in an undue fashion, leading the latter to lose millions in revenue.  </p>



<p class="wp-block-paragraph">But beyond the potential for fraud, these black boxes, this network of metrics used by many newsrooms, also contain the different ties of coordination between a slew of internet players that monetise data across the ecosystem.  </p>



<p class="wp-block-paragraph">This, added to the complexity of the technical layers that sustain online consumption, and the un-audited incentives for inflating numbers, not to mention spam and bots, contribute to a phenomenon of entropy, which help explain why metrics do not always make sense. Disclosing this entropy is not in the interest of platforms. </p>



<p class="wp-block-paragraph">Overall in that regard, metrics, when provided by bigger, non-journalistic players, could be regarded not as direct public feedback, but rather as a reflection of bundled interests of the technical infrastructure of the internet, and the political economic negotiations that happen often behind closed doors. </p>



<p class="wp-block-paragraph">Metrics have therefore kept their function of coordinating the interests of the players involved, but without much transparency, and with an added layer of realism which is heavily advertised by many internet players, whether in online advertising, or via analytics companies.  </p>



<h2 class="wp-block-heading">The benefits of scale: Supercharging the Goodhart’s law  </h2>



<p class="wp-block-paragraph">Now there is perhaps one factor that is the most significant when it comes to further understanding why metrics are confused for reality, and why they tend to become self-fulfilling prophecies with deep impacts on media landscapes: scale. This is due both to the fact that metrics are made of statistics, and because online audience flows are dominated by platforms.  </p>



<p class="wp-block-paragraph">First, the statistical nature of online data flows highlights the importance of scale in monetising data online. This is caused by the fact that most predictions online are based on probabilities, and their associated deterministic patterns.  </p>



<p class="wp-block-paragraph">This statistical technique helps to observe long term audience consumption patterns and how to optimise the most fine-tuned, cost-efficient audience trajectories according to a specific click architecture. In order to fulfil the promise that predictions become true, scale is a sine qua non condition in order to decipher what historical patterns are the most profitable.  </p>



<p class="wp-block-paragraph">A corollary of this is that this deterministic parameter tends to cement historical repetitions, and to further benefit media players who existed first, as both benefits of scale tend to generate cumulative effects, and to provide a reputation for reliable profit which is highly valuable when it comes to organising and predicting budgets.  </p>



<p class="wp-block-paragraph">This one main parameter is what allows platforms, whose main objective is to accumulate data, to maintain a stronghold on media landscapes, by adopting this meta-deterministic perspective on data patterns, and therefore, holding a monopolistic, black-boxed overview of what performs best online. </p>



<p class="wp-block-paragraph">By using probabilities and providing metrics as a map, platforms may supercharge the effect of self fulfilling prophecies online, through metrics that often tend to become objectives rather than simple indicators. </p>



<p class="wp-block-paragraph">This mechanism is called the Goodhart law. When metrics are used as objectives, they cease to be good metrics. In the case of metrics in news, it means that using scale in order to fulfil the deterministic parameter of finding truth through statistics tends to create self-fulfilling prophecies. By incentivising scale, volume, clicks, and page views, there are some negative macro effects that come as a consequence of mis understanding the power of metrics.  </p>



<h2 class="wp-block-heading">Macro impact #1: The winner-take-all effect  </h2>



<p class="wp-block-paragraph">First, there is a winner-take all effect. The bigger the media, in terms of volume of clicks and data, the bigger the possibilities of monetising the data fruitfully. This winner-take-all effect is similar to the one observed in the business model of platforms, where scale advantages tend to become cemented and supercharged once a certain volume is reached. The bigger the media in terms of data volume, whether through subscriptions or through the accumulation of page views, the bigger the monetisation opportunities. The benefits of owning historical data tend to be cumulative as the predictions are more reliable and more precise.  </p>



<p class="wp-block-paragraph">Furthermore, metrics models provided by platforms are often based on those bigger media outlets, as platforms are naturally more interested in those large pools of data that benefit their own meta-deterministic models of data analysis. In that sense, adopting the metrics provided by platforms tends to mean, that one’s strategy becomes symmetrical to platforms’ interests.  </p>



<h2 class="wp-block-heading">Macro impact #2: Media hierarchies  </h2>



<p class="wp-block-paragraph">A second macro effect of this model is that it tends to also favour media hierarchies that are difficult to challenge. Bigger outlets remain at the top in terms of traffic and monetisation, because platforms tend to model their metrics and software according to those levels of scale and volume, which is what is of interest to them. Bigger outlets are also those who benefit more from in-person negotiations with platforms as to what metrics matter, and those models tend to be those that are then provided in free versions of analytics software that are more accessible to smaller outlets.  </p>



<p class="wp-block-paragraph">Furthermore bigger outlets with more financial resources are more able to tweak analytics parameters, whereas smaller outlets tend to have more ready-made, black-boxed tools that may not be that adaptable to their own needs. Those outlets who have higher volumes of data also tend to be favoured in negotiations with other players of the data monetisation ecosystem, such as ad tech companies, as they benefit from a solid monetisation reputation.  </p>



<p class="wp-block-paragraph">This model is not necessarily new, as traditional measurement companies also used similar hierarchical, rankings-based models, where media outlets with more resources and established historical deterministic patterns, have access to more precise and efficient measurement. </p>



<p class="wp-block-paragraph">In this digital analytics model therefore, new players have fewer chances to compete in terms of data monetisation because they lack the historical reputation and the reliability of accumulated historical patterns that unlock trust in predictions and funding opportunities. Therefore, the parameters of determinism, scale, and self-fulfilling prophecies are revealed by the simple fact that measurement and metrics are based on statistics and projections.  </p>



<h2 class="wp-block-heading">Macro impact #3: Media concentration  </h2>



<p class="wp-block-paragraph">The data monetisation benefits provided by scale include a third significant macro impact on media landscape: media concentration incentives. In order to compete in this quantified, rankings-based system, some media outlets have adopted strategies to access those scale benefits. By creating alliances, accumulating media outlets, and re-joining databases, more volume can be reached. In that sense, media conglomerates can be incentivised to optimise online advertising and data monetisation opportunities, with a potential risk for media diversity.  </p>



<h2 class="wp-block-heading">Macro impact #4: Devaluing journalism </h2>



<p class="wp-block-paragraph">The final macro consequence that derives from the volume incentive, which is perhaps the most significant of all, is the devaluation of journalistic standards. From a strictly volume-oriented data monetisation perspective, it makes sense to produce more content which translates into more clicks, at the expense of journalistic standards. While clicks and webpages can easily be inflated from a quantitative perspective, the labour that tends to come with quality, original reporting, which often takes time, tends to be disregarded, from the perspective of this quantified financial model.  </p>



<p class="wp-block-paragraph">In that sense, favouring financial value to access scale benefits tends to empty journalism from its values, and the value of its labour. Some strategies adopted by some media outlets include quickly producing articles at scale, by translating them into different languages, copy-pasting news wire reports, and coordinating with trending online keywords that do not necessarily stem from organic audience behaviours or from journalists’ flair.  </p>



<p class="wp-block-paragraph">Journalists have sometimes conceded, when interviewed for this research, that they felt they had to twist their instincts in order to ensure content production that may have felt industrial rather than the byproduct of careful listening of their public’s needs. On the brighter side, another strategy also includes the attempt to quantify the value of journalism’s democratic mission, by promoting the quality of the involvement with the public as a selling point.  </p>



<p class="wp-block-paragraph">Other media employees, involved more in advertising monetisation rather than direct editorial output, have also mentioned how adopting these keyword-tweaking strategies, informed by listening to more global internet trends provided by platforms, tend to be fruitful. Small tweaks, multiplied by thousands of webpages, thanks to benefits of scale, result in interesting profits.  </p>



<p class="wp-block-paragraph">However, these strategies also tend to benefit platforms’ meta-deterministic needs, with consequences on how social issues covered by journalists are phrased online. With certain keywords being chosen over others, in order to fulfil the internet’s echo-chamber of what gets attention or not, meaning, what is observed statistically as echoing what was said in the past or by others, platforms mechanically end up having quite a say as to how social issues might be framed. </p>



<p class="wp-block-paragraph">In the era of AI, this editing power based on historical patterns might be supercharged, as suggestions not only contain keywords but sometimes entire sentences. Mechanically, this also runs the risk of framing issues in a more stereotypical way.  </p>



<h2 class="wp-block-heading">Re-seizing the power of metrics </h2>



<p class="wp-block-paragraph">Metrics are rarely neutral tools. They benefit some and devalue others, according to decisions that are black boxed behind their deceptive simplicity. They might contain a kernel of truth, but they often reflect the interests of those who manufactured them. In the context of news, they might be one reflection of the public’s clicks, but this reflection is also heavily mediated by the infrastructure of those who are able to have an overview of the internet’s secret flows and complex behind-the-door negotiations.  </p>



<p class="wp-block-paragraph">Theoretically, metrics should be seen as indicators, not as objectives. In practice however, they tend to re shape media landscapes in a way that is detrimental to media diversity, journalistic autonomy, and may contribute to journalists’ loss of meaning.  </p>



<p class="wp-block-paragraph">Following a map provided by non-journalistic players may lead journalism into platforms’ projected territory, one that is biased and mostly driven by scale, where truth is defined according to statistical parameters and their own interests. That’s the price to pay when meaningful, values-oriented work is translated into simplified quantified measurements.  </p>



<p class="wp-block-paragraph">But I would argue that the potential of metrics to really benefit news remains unexplored. Metrics, when seized with the awareness of what they can and cannot do, can be powerful tools to visualise injustice and quantify the reality of invisible social issues.  </p>



<p class="wp-block-paragraph">When the self-fulfilling prophecy aspect of measurement is mitigated, and when metrics are seen as simple indicators, they can be used to jolt actions that favour values rather than value. Knowing the limits of metrics, and being aware of what territory is being mapped when choosing them, is therefore key to secure journalism’s interests and social mission.  </p>



<p class="wp-block-paragraph"><em>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765140 &#8211; based at Samsa and with the University of Toulouse.</em></p>



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    <p>The post <a href="https://theaudiencers.com/metrics-arent-neutral-they-reflect-the-interests-of-whoever-built-them/">Metrics aren&#8217;t neutral: they reflect the interests of whoever built them</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>How newsrooms can learn from failure without failing in public</title>
		<link>https://theaudiencers.com/how-newsrooms-can-learn-from-failure-without-failing-in-public/</link>
		
		<dc:creator><![CDATA[Frank Bi]]></dc:creator>
		<pubDate>Tue, 15 Sep 2026 09:32:26 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
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					<description><![CDATA[<p>Journalism has to be right the first time. Product work doesn't, as long as you know where to draw the line.</p>
<p>The post <a href="https://theaudiencers.com/how-newsrooms-can-learn-from-failure-without-failing-in-public/">How newsrooms can learn from failure without failing in public</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph">This article was originally published by Frank Bi on <a href="https://www.hackshackers.com/how-newsrooms-can-learn-from-failure-without-failing-in-public/">Hacks/Hackers</a>, republished with permission. </p>



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  <pre class="ta-text">&gt; Journalism has to be right the first time. Product work learns more from what doesn't work. Frank Bi, AI Strategy and Product Advisor at Hacks/Hackers, argues that when products are held to the journalistic bar, nothing half-baked ever launches, so nothing ever teaches you anything

&gt; Build a public sandbox. A labelled subdomain (beta, labs) resets the expectations readers bring to the homepage while still producing real behaviour data. Bi launched the Minnesota Star Tribune's AI restaurant guide Culinary Compass on the main domain instead, where readers judged a four-week experiment as a Star Tribune guide

&gt; Set the end date before launch, ideally by picking something with a natural start &amp; end. Bi's Fair Bot ran only the 12 days of the Minnesota State Fair, so nobody ever had to make the call to shut it down

&gt; Show your work. Newsrooms already have a practice for issuing corrections, so extend a version of it to experimental products and publish what the team believed and why, before that thinking disappears at launch</pre>
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<p class="wp-block-paragraph">There&#8217;s a tension between journalism and product innovation, and it comes down to a clash of mental models. Journalism requires getting the facts right the first time. On the other hand, product innovation learns more from what doesn&#8217;t work than from what does, and sometimes that means putting something half-baked in the wild to find out what audiences will actually respond to.</p>



<p class="wp-block-paragraph"><a href="https://www.linkedin.com/in/lukegwilliams/?ref=hackshackers.com">Luke Williams</a>, a former creative director at frog design who taught my innovation and design class at NYU Stern this spring, has a line for this: be wrong at the start to be right at the end. It resonated because I&#8217;ve been in news organizations where the journalistic mental model is applied, often for good reasons. But when the product is held to the journalistic bar, nothing half-baked gets launched to teach us anything.<br>        <div
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    <p>The post <a href="https://theaudiencers.com/how-newsrooms-can-learn-from-failure-without-failing-in-public/">How newsrooms can learn from failure without failing in public</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>The next engagement shift: from strong products to experience systems</title>
		<link>https://theaudiencers.com/the-next-engagement-shift-from-strong-products-to-experience-systems/</link>
		
		<dc:creator><![CDATA[Dina Shatner]]></dc:creator>
		<pubDate>Mon, 31 Aug 2026 13:11:18 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Engagement]]></category>
		<category><![CDATA[Guides]]></category>
		<category><![CDATA[Product and strategy execution]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=52923</guid>

					<description><![CDATA[<p>Publishers’ next opportunity lies in moving from strong products to a connected experience system built around journalism</p>
<p>The post <a href="https://theaudiencers.com/the-next-engagement-shift-from-strong-products-to-experience-systems/">The next engagement shift: from strong products to experience systems</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph">Dina Shatner is the co-founder and CEO of Caledo, an AI-powered News Experience company, and co-author of The Age of News Experience, a book drawing on conversations with media leaders, research, and practical work.</p>



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  <pre class="ta-text">&gt; The Age of News Experience argues that for social platforms and games, experience is not a feature added to the product. It is the product, and that is what holds attention

&gt; Strong products do not add up to a strong outlet. Readers still meet a fragmented set of things unless you design how they move between them, an approach the authors call Experience Islands

&gt; The AXR framework runs audience to experience to revenue. Skipping the middle turns "reach younger audiences" into "make vertical video". Formats produce outputs, experiences produce behaviors. And repeatable behaviors connect audience value to commercial value

&gt; In video there is a passive-active pattern. Viewers happily let the next item start, but if it shifts too sharply they have to actively decide again, and that decision point is where they leave

&gt; So the unit of planning changes. Before launching anything ask what experience begins here, what the natural next one is, and what must stay consistent so it feels like continuation</pre>
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    <p>The post <a href="https://theaudiencers.com/the-next-engagement-shift-from-strong-products-to-experience-systems/">The next engagement shift: from strong products to experience systems</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>The Economist&#8217;s push to get closer to readers with audio- and video-only subscription</title>
		<link>https://theaudiencers.com/the-economists-push-to-get-closer-to-readers-with-audio-and-video-only-subscription/</link>
		
		<dc:creator><![CDATA[Madeleine White]]></dc:creator>
		<pubDate>Tue, 11 Aug 2026 07:22:00 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Community]]></category>
		<category><![CDATA[Editorial work and products]]></category>
		<category><![CDATA[Subscription]]></category>
		<category><![CDATA[The Economist]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=53378</guid>

					<description><![CDATA[<p>How The Economist has spent the last few years developing products and offers that foster deeper, more human relationships with readers</p>
<p>The post <a href="https://theaudiencers.com/the-economists-push-to-get-closer-to-readers-with-audio-and-video-only-subscription/">The Economist&#8217;s push to get closer to readers with audio- and video-only subscription</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph"><em>The Economist</em> has spent the last few years developing products and offers that foster deeper, more human relationships with readers. Its latest launch, <strong>Play</strong>, provides a lower-priced audio and video subscription tier aimed at a growing audience across all age ranges who consume news in these formats but aren’t yet ready for a full-price subscription. Crucially, it serves as an accessible entry point to bring younger demographics into <em>The Economist&#8217;s</em> orbit before they transition to the full access tier, which also includes all written journalism.</p>



<p class="wp-block-paragraph">We spoke with <a href="https://www.linkedin.com/in/nadaarnot/">Nada Arnot</a>, Co-Managing Director of <em>The Economist</em>, about Play’s launch and how it fits into the publication&#8217;s wider relationship-building strategy.</p>



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  <pre class="ta-text">&gt; The Economist has launched a dedicated subscription tier for access to audio and video formats, priced lower than the core digital subscription to attract new audiences

&gt; The "Halo Effect": From early signals, the team has observed an uptick in core Premium sign-ups. Seeing a cheaper, format-specific option next to the full product acts as an anchor, nudging undecided visitors to pay a little extra for the full suite.

&gt; Net-New Audience: Conversions through Play have been driven almost entirely by brand-new readers rather than existing subscribers trading down.

&gt; Play is part of The Economist's wider strategic development (alongside podcasts, short-form video and "Insider") towards building deeper, more "human" relationships with audiences</pre>
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<h2 class="wp-block-heading">Play, a new audio and video subscription tier</h2>



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    <p>The post <a href="https://theaudiencers.com/the-economists-push-to-get-closer-to-readers-with-audio-and-video-only-subscription/">The Economist&#8217;s push to get closer to readers with audio- and video-only subscription</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>Designing a more accurate subscription funnel for news media</title>
		<link>https://theaudiencers.com/designing-a-more-accurate-subscription-funnel-for-news-media/</link>
		
		<dc:creator><![CDATA[Lennart Schneider]]></dc:creator>
		<pubDate>Wed, 05 Aug 2026 15:55:22 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Guides]]></category>
		<category><![CDATA[Subscription]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=52942</guid>

					<description><![CDATA[<p>Lennart maps the different stages a subscriber can move through over the course of their lifecycle in a revised funnel</p>
<p>The post <a href="https://theaudiencers.com/designing-a-more-accurate-subscription-funnel-for-news-media/">Designing a more accurate subscription funnel for news media</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<pre class="wp-block-verse">Lennart Schneider is Founder of <a href="https://subscribe-now.beehiiv.com/" target="_blank" rel="noreferrer noopener">Subscribe Now</a>, helping decision-makers in the subscription economy attract subscribers and keep them happy.</pre>



<p class="wp-block-paragraph">Over the past two years, I have written&nbsp;<a href="https://www.google.com/url?q=https://www.amazon.de/Subscribe-Now-erfolgreiche-Wachstumsstrategien-Unternehmen/dp/3648191160&amp;sa=D&amp;source=editors&amp;ust=1785234857320697&amp;usg=AOvVaw0kXToeDr4CCmn5UbvZxOqh">a book about subscription management</a>&nbsp;based on more than 80 interviews with experts from some of the largest subscription businesses in the German-speaking world.</p>



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    <p>The post <a href="https://theaudiencers.com/designing-a-more-accurate-subscription-funnel-for-news-media/">Designing a more accurate subscription funnel for news media</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>The Publishers&#8217; Tech Stack Study: findings from the 2026 survey</title>
		<link>https://theaudiencers.com/the-publishers-tech-stack-study-findings-from-the-2026-survey/</link>
		
		<dc:creator><![CDATA[Audiencers]]></dc:creator>
		<pubDate>Thu, 09 Jul 2026 07:47:17 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[AI and technology]]></category>
		<category><![CDATA[Benchmarks]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=52592</guid>

					<description><![CDATA[<p>Which tools do French news publishers actually use to produce, distribute and monetise their digital content? And how do they rate these tools?</p>
<p>The post <a href="https://theaudiencers.com/the-publishers-tech-stack-study-findings-from-the-2026-survey/">The Publishers&#8217; Tech Stack Study: findings from the 2026 survey</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph"><strong>For its fifth edition, the “Tech Stack” study, conducted by the association of the same name in partnership with the Sciences Po Journalism School, paints the most complete picture to date of the tools that French news publishers rely on to produce, distribute and monetise news. Four tool families, 118 contributions, nearly 5.5 billion monthly page views described: the findings of the 2026 edition are now available to download.</strong><a href="https://techstack.study/"></a></p>



<p class="wp-block-paragraph">Which tools do French news publishers actually use to produce, distribute and monetise their digital content? Since 2021, the “Tech Stack” survey has answered this question by drawing directly on the voices of the professionals who work with these tools day to day: chief technology officers, newsroom managers, product managers, marketing managers and ad sales house directors. Between in-house solutions and external vendors, they all administer a technical apparatus in constant recomposition. The very word “stack” captures the iterative nature of this accumulation, driven by the evolution of technologies and the transformation of usages.</p>



<p class="wp-block-paragraph">Launched in 2021 on the initiative of Marion Wyss, an online-media professional and specialist in subscriber-acquisition strategies (and Audiencers&#8217; Publisher), the Tech Stack reaches its fifth edition in 2026. As early as 2022, Sciences Po joined the project to ensure its longevity in the form of an annual update. Its founding principle remains unchanged: to consolidate the full range of practices in order to draw up a complete overview, while guaranteeing each respondent strict confidentiality over the solutions they report using.<a href="https://www.linkedin.com/in/marionwyss/"></a></p>



<h2 class="wp-block-heading">A survey of unprecedented scope</h2>



<p class="wp-block-paragraph">The 2026 edition is based on four separate questionnaires: marketing, editorial, advertising and technical tools. Completed by the managers of the relevant teams, each solution cited was analysed through a twofold approach: its market share among respondents on the one hand, and an assessment of its quality on the other. Beyond listing the tools they use, respondents rate them: each professional gives their solution a satisfaction score from 1 to 10 and specifies, in free-text comments, what wins them over or frustrates them in terms of quality and everyday use. It is the aggregation of these scores that makes it possible to measure whether, in France, publishers feel well served by their CMS, their subscription manager or their adserver. And it is this cross-analysis of equipment rate and satisfaction that makes the study a genuine decision-support tool, allowing each publisher to guide its own equipment choices by drawing on the experience of its peers.</p>



<p class="wp-block-paragraph">Measured against the combined audience of all participating titles, the study describes the Tech Stack underpinning more than five billion monthly page views. Contributors include the majority of national daily press titles, several audiovisual brands, magazine titles, regional and trade press groups, as well as numerous pure players. In keeping with the confidentiality commitment made to respondents, all responses were consolidated and processed anonymously, but the list of respondents is set out in the study’s introduction and in each section.</p>



<h2 class="wp-block-heading">Publishers now properly equipped</h2>



<p class="wp-block-paragraph">The first takeaway from the 2026 edition lies in the convergence of scores. The four tool families obtain closely aligned averages: 7.1/10 for marketing, 7.2 for editorial, and 7.4 for both advertising and technical tools. The message is clear: French publishers are now properly equipped. No category collapses, and none reaches excellence. The gaps lie at the extremes, from the success of digital advertising audio to the struggles of the subscription manager — the backbone of the subscriber relationship, still largely inherited from the print era. Over three years, the trend is one of slow improvement as stacks stabilise.</p>



<p class="wp-block-paragraph">This maturity shifts the challenge. Everywhere, value no longer lies in the tool itself but in its ability to connect to others. Marketing calls for a unified data layer; editorial dreams of a CMS turned cockpit, linking planning, publishing, social media and measurement; the technical side seeks observability and orchestration; and advertising, the reconciliation of its fragmented signals. The 2026 stack is not under-equipped: it is under-orchestrated. To this integration tension is added, among legacy press groups, a persistent divide between print-inherited foundations and digital building blocks — a divide that dreaded migrations still struggle to close.</p>



<h2 class="wp-block-heading">Two underlying forces: AI and sovereignty</h2>



<p class="wp-block-paragraph">Two dynamics run through all the chapters. First, artificial intelligence, now present in almost every use case (nearly nine publishers out of ten on the marketing side) but still confined to assistance and individual productivity. Its industrialisation, plugged into data, is shaping up to be the next front of differentiation. Second, sovereignty, which is emerging as a structuring criterion in the face of dependence on the major US players, from web analytics to the adserver, from cloud to language models, and in the face of rising costs (licences, cloud, tokens) that everyone is seeking to keep under control.</p>



<p class="wp-block-paragraph">One constant remains, a common thread throughout the study: in-house solutions, when designed together with the teams, consistently earn the best scores. Proof that satisfaction stems less from a tool’s power than from its right fit with needs. That is where the 2027 challenge lies: not in accumulating new building blocks, but in the art of connecting them.</p>



<h2 class="wp-block-heading">Download the study</h2>



<p class="wp-block-paragraph">The full results — a detailed analysis of the four tool families, equipment rates, satisfaction scores and publisher verbatims — are available in the complete summary of the “Tech Stack 2026” survey.</p>



<p class="wp-block-paragraph"><u><a href="https://techstack.study/wp-content/uploads/2026/07/EN-Tech-Stack-2026.pdf">→ Download the Tech Stack 2026 study (PDF)</a></u></p>



<p class="wp-block-paragraph"><em>A study by the Tech Stack association, in partnership with the Sciences Po Journalism School.</em><a href="https://techstack.study/"></a></p>



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    <p>The post <a href="https://theaudiencers.com/the-publishers-tech-stack-study-findings-from-the-2026-survey/">The Publishers&#8217; Tech Stack Study: findings from the 2026 survey</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>What the F Are You Doing? Why frequency is the metric that matters in the AI era</title>
		<link>https://theaudiencers.com/what-the-f-are-you-doing-why-frequency-is-the-metric-that-matters-in-the-ai-era/</link>
		
		<dc:creator><![CDATA[Mark Zohar]]></dc:creator>
		<pubDate>Mon, 06 Jul 2026 13:43:29 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Engagement]]></category>
		<category><![CDATA[Guides]]></category>
		<category><![CDATA[Metrics data and research]]></category>
		<guid isPermaLink="false">https://theaudiencers.com/?p=52569</guid>

					<description><![CDATA[<p>Why the "F" in RFV is the metric that survives the AI era, and how you can develop it</p>
<p>The post <a href="https://theaudiencers.com/what-the-f-are-you-doing-why-frequency-is-the-metric-that-matters-in-the-ai-era/">What the F Are You Doing? Why frequency is the metric that matters in the AI era</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<pre class="wp-block-verse"><a href="https://www.linkedin.com/in/markzohar/" target="_blank" rel="noreferrer noopener">Mark Zohar</a>, President and CEO of <a href="https://viafoura.com/" target="_blank" rel="noreferrer noopener">Viafoura</a>, shares why he believes that Frequency (the F in RFV) is the most important metric to be tracking in an era where content is increasingly a commodity that AI can summarize, paraphrase, and serve without ever sending a click your way.</pre>



<p class="wp-block-paragraph">The publishing industry has spent the better part of two decades chasing the wrong metrics.</p>



<p class="wp-block-paragraph">Publishers chased reach when scale was the story. They chased pageviews when programmatic told us impressions were currency. And now, in an AI era where Google’s AI Overviews, ChatGPT, Perplexity, and a growing constellation of answer engines are intercepting traffic before it ever reaches a publisher’s domain, the old playbook isn’t just tired. It’s broken.</p>



<p class="wp-block-paragraph">So here’s the question every publisher CEO, CRO, and audience leader should be asking right now:</p>



<p class="wp-block-paragraph"><strong><em>What the F are you doing?</em></strong></p>



<h2 class="wp-block-heading">The &#8220;F&#8221; in RFV is the metric that survives the AI era</h2>



<p class="wp-block-paragraph">RFV (Recency, Frequency, Volume) has been a customer-analytics staple for decades. Recency tells you when someone last showed up. Volume tells you how much content they consumed while they were there. But of those three letters, Frequency is the one that quietly does the heavy lifting. <strong>Frequency tells you whether you have a business.</strong></p>



<p class="wp-block-paragraph">Frequency is the metric that tracks habit formation. It’s the metric that signals brand loyalty. It’s the leading indicator of customer lifetime value, registration propensity, and subscription conversion. And in an environment where AI is steadily eroding the casual, search-driven, one-and-done visit, Frequency is the only metric that compounds in your favor.</p>



<p class="wp-block-paragraph">If a reader visits you once a month because Google sent them, you don’t have a reader. You have a rounding error.</p>



<p class="wp-block-paragraph">If that same reader visits you twelve times a month because they want to be there, to weigh in, to read what others are saying, to participate in a live conversation with your journalists, to follow a topic they care about, then you have a customer. You have ad inventory that actually performs. You have a registration waiting to happen. You have a subscriber in the making.        <div
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    <p>The post <a href="https://theaudiencers.com/what-the-f-are-you-doing-why-frequency-is-the-metric-that-matters-in-the-ai-era/">What the F Are You Doing? Why frequency is the metric that matters in the AI era</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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		<title>The Washington Post tests flexible access models, addressing the gap between willingness to pay and willingness to commit</title>
		<link>https://theaudiencers.com/the-washington-post-tests-flexible-access-models-addressing-the-gap-between-willingness-to-pay-and-willingness-to-commit/</link>
		
		<dc:creator><![CDATA[Madeleine White]]></dc:creator>
		<pubDate>Mon, 29 Jun 2026 15:45:06 +0000</pubDate>
				<category><![CDATA[Decisions]]></category>
		<category><![CDATA[Case Studies]]></category>
		<category><![CDATA[Subscription]]></category>
		<category><![CDATA[The Washington Post]]></category>
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					<description><![CDATA[<p>WP's shift towards a broader monetisation strategy centered on flexible access, shifting the way value is captured</p>
<p>The post <a href="https://theaudiencers.com/the-washington-post-tests-flexible-access-models-addressing-the-gap-between-willingness-to-pay-and-willingness-to-commit/">The Washington Post tests flexible access models, addressing the gap between willingness to pay and willingness to commit</a> appeared first on <a href="https://theaudiencers.com">Audiencers</a>.</p>
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<p class="wp-block-paragraph"><a href="https://www.linkedin.com/in/anjali-k-iyer/" target="_blank" rel="noreferrer noopener">Anjali Iyer</a>, Global Head of Subscriptions at <em>The Washington Post</em>, delivered a session at the Audiencers&#8217; Festival in London focused on how news organisations must adapt to modern consumer habits by expanding beyond rigid subscription structures.</p>



<p class="wp-block-paragraph">Invited by event partners, <a href="https://arcmarketing-arc-marketing-prod-staging.web.arc-cdn.net/">Arc XP</a>, the platform and CMS for media companies, Anjli outlined <em>The Washington Post’s</em> shift toward a broader monetisation strategy centred on <strong>flexible access</strong>, shifting the way that value is captured.</p>



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  <pre class="ta-text">&gt; Traditional hard paywalls face a bottleneck: out of 100 anonymous readers who hit one, 74% abandon the site. Only 1% subscribe, and of that tiny fraction, 13% churn on day one because they only wanted that single article

&gt; The data exposes a massive gap between the willingness to pay and the willingness to commit. Modern readers, particularly younger cohorts, operate in a fragmented digital landscape shaped by streaming services, search loops, and social algorithms. They demand short-term choices and are often willing to pay a premium price for temporary access over a recurring subscription package

&gt; The Washington Post's solution is flexible access models. By testing micropayments (weekly and pay passes, as well as pay-per-article with an in-paywall mobile payment module), they're uncovering an untapped market: 42% of flexible access buyers are brand-new, anonymous users outside the existing ecosystem

&gt; While core subscribers buy for politics and opinion, transactional buyers over-index heavily on lifestyle, wellness, and investigative deep-dives. These users arrive via search/social, and 50% checkout via Apple Pay (compared to just 30% of standard subscribers)

&gt; Interestingly, this also serves as a nurturing mechanism for long-term subscriber growth. Over a 180-day period, up to 8% of week-pass buyers, 4% of day pass buyers, and 3% of pay-per-article buyers eventually became full subscribers</pre>
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<h2 class="wp-block-heading">The incomplete subscription model</h2>



<p class="wp-block-paragraph">Publishers share a collective obsession with subscriber growth. However, maintaining and expanding this base is becoming increasingly difficult as churn grows more expensive. Over the past few decades, media organisations built vast digital subscription operations by asking their most loyal readers to commit long-term.</p>



<p class="wp-block-paragraph">While successful, this framework is facing a critical bottleneck. Industry data reveals that out of 100 anonymous users who hit a hard paywall, 74% will simply abandon the site, while only a single reader (1%) will convert into a subscriber.</p>



<p class="wp-block-paragraph">Of that tiny conversion pool, retention is highly fragile:</p>



<ul class="wp-block-list">
<li><strong>13% churn on day one</strong>, meaning the user bought a subscription solely to access a single, moment-driven story, and immediately cancelled once their immediate need was met.</li>



<li><strong>40% churn within the first six months</strong>.</li>
</ul>



<p class="wp-block-paragraph">This reality exposes a massive gap between <strong>the willingness to pay and the willingness to commit</strong>. Modern readers, particularly younger cohorts, operate in a fragmented digital landscape shaped by streaming services, search loops, and social algorithms. They demand short-term choices and are often willing to pay a premium price for temporary access over a recurring subscription package.</p>



<h2 class="wp-block-heading">Defining the flexible access market</h2>



<p class="wp-block-paragraph">To capture the vast audience that traditionally walks away from a hard paywall, publishers must widen their monetisation funnel. <em>The Washington Post’s</em> market research in the United States identified a substantial untapped addressable market:</p>



<ul class="wp-block-list">
<li><strong>38 million engaged citizens</strong> are actively interested in news.</li>



<li><strong>19 million</strong> of those consumers express explicit interest in flexible access options.</li>



<li><strong>12 million are actively willing to pay</strong> for the right short-term product at the correct price point.</li>
</ul>



<p class="wp-block-paragraph">When publishers offer flexible access side-by-side with standard recurring subscriptions, overall user conversion increases <strong>1.2x</strong>, and long-term subscriber retention improves by <strong>6 percentage points</strong>.</p>



<h2 class="wp-block-heading">Testing the flexible access products</h2>



<p class="wp-block-paragraph">To determine how to capture this demand without devaluing their core subscription model, <em>The Washington Post</em> conducted extensive customer testing across three primary transaction models:</p>



<ol class="wp-block-list">
<li>&nbsp;The week pass: Appealing to 62% of surveyed consumers, this product is highly popular during intense, moment-driven breaking news cycles where readers want to follow a developing story for a few consecutive days.</li>



<li>The day pass: Appealing to 57% of consumers, this option provides a friction-free, low-commitment window for casual site visitors.</li>



<li>Pay-per-article: Appealing to 46% of consumers, this model allows readers to immediately unlock a single piece of journalism via a frictionless digital wallet transaction.</li>
</ol>



<p class="wp-block-paragraph">During live pricing experiments for the week pass, the team tested price points at <strong>$4, $7, and $10</strong> as standalone, one-time payments shown side-by-side with recurring monthly and yearly subscription prompts.</p>



<p class="wp-block-paragraph">For the pay-per-article interface, they deployed a highly optimised <strong>widget directly inside the paywall layer</strong>. A reader can enter their email address and use a frictionless mobile payment method (such as Apple Pay or a credit card) to execute a one-time <strong>$2.00 purchase</strong> (plus local sales tax) that unlocks access to that specific article for one calendar year.</p>



<h2 class="wp-block-heading">The profile of a flexible access purchaser</h2>



<p class="wp-block-paragraph">The data explicitly proves that flexible access buyers are not just early-stage subscribers who are downscaling their commitments. Instead, they represent an entirely different audience profile that hard paywalls completely lock out.</p>



<ul class="wp-block-list">
<li><strong>Content preferences:</strong> Unlike core subscribers who are driven primarily by heavy politics and opinion pieces, flexible access buyers over-index significantly on non-political lifestyle, wellness, deep investigative features, and historical archive content.</li>



<li><strong>Device and payment footprint:</strong> This audience is heavily mobile-first, with <strong>more than half visiting via mobile devices and purchasing via Apple Pay </strong>compared to subscribers.</li>



<li><strong>Discovery pathways:</strong> They are <strong>1x to 2x more likely to discover articles via search engine optimization or social media channels</strong>, arriving with highly specific, momentary search intent.</li>
</ul>



<h2 class="wp-block-heading">The pathway to long-term subscriptions</h2>



<p class="wp-block-paragraph">While flexible access is built to capture transactional, short-term demand, it also serves as an elite nurturing mechanism for long-term subscriber growth. Over a 180-day horizon, there is a strong statistical probability of transactional buyers upgrading to recurring, full-time subscriptions:</p>



<ul class="wp-block-list">
<li><strong>8% of week pass buyers</strong> transition into full subscribers.</li>



<li><strong>4% of day pass buyers</strong> upgrade to full subscriptions.</li>



<li><strong>3% of pay-per-article buyers</strong> eventually become subscribers.</li>
</ul>



<p class="wp-block-paragraph">When evaluating <em>who</em> is performing these upgrades, the lifecycle acts equally as a net-new acquisition tool and a win-back loop:&nbsp;</p>



<ul class="wp-block-list">
<li><strong>40% of upgraders are existing site registrants</strong></li>



<li><strong>35% are entirely new registrants</strong></li>



<li><strong>25% are previous subscribers returning to the brand</strong>.&nbsp;</li>
</ul>



<p class="wp-block-paragraph">Furthermore, these flexible entry points attract high-intent customers, with <strong>13% of all upgraders bypassing the basic subscription tier to jump directly into the highest-yield premium tier</strong>.</p>



<p class="wp-block-paragraph">While approximately 91% of flexible access buyers remain single-use transactions, a growing, habitual cohort is developing, with <strong>9% of pay-per-article buyers, 8% of week pass buyers, and 5% of day pass buyers demonstrating repeat purchasing behavior</strong>.</p>



<h2 class="wp-block-heading">Driving overall organisational growth</h2>



<p class="wp-block-paragraph">When evaluating total paying user growth across the entire funnel, <strong>pay-per-article options deliver the highest overall volume lift at 83%</strong>, followed by the day pass at 35% and the week pass at 19%. Because pay-per-article operates as a frictionless entry point, it yields the highest efficiency and retention results among readers who are structurally unready to commit to a long-term media subscription.</p>



<p class="wp-block-paragraph">Ultimately, this represents a major philosophical pivot for modern publishing groups. Rather than treating monetisation as a choice between a hard subscription paywall or zero return, organisations must build a diversified revenue tier:</p>



<ol class="wp-block-list">
<li><strong>Off-platform partnerships &amp; licensing:</strong> Reaching audiences beyond owned and operated properties.</li>



<li><strong>Flexible access:</strong> Transactional, non-recurring options designed to monetize an untapped, high-intent audience.</li>



<li><strong>Core subscriptions:</strong> The foundational, enterprise, and standard domestic news consumer.</li>



<li><strong>Premium subscriptions:</strong> Higher-yield tiers that include multi-account sharing capabilities.</li>



<li><strong>WP Intelligence Subscriptions &amp; Councils:</strong> B2B analytical products for subscriptions and invite-only councils specialized executive loops tailored for policy and corporate leaders.</li>
</ol>



<p class="wp-block-paragraph">Implementing this layered approach transforms user monetization from a simple transactional gate into a holistic, long-term ecosystem. It effectively captures diverse consumer demands across different points of the user journey, creating a sustainable foundation for modern newsrooms.</p>



<p class="wp-block-paragraph">Thank you to Anjali for sharing these insights, and to <a href="https://www.arcxp.com/" target="_blank" rel="noreferrer noopener">Arc XP </a>for supporting our event.</p>



<p class="wp-block-paragraph">About <em>Arc XP: Arc XP is a cloud-native enterprise content management system (CMS) built for publishers and broadcasters. Designed as a complete media operating system, Arc XP connects content, identity, personalization, monetization, and AI — empowering media brands to own their audience, activate first-party data, and build sustainable, independent revenue. Media companies use Arc XP to create, deliver, and scale digital experiences across every channel.</em></p>



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