Which of your earned media numbers would survive a CFO asking what it bought?
For most teams the honest answer is none of them, and that is not because earned media fails to work. It is because the industry standardized on metrics that are easy to produce and disconnected from outcomes, then built reporting rituals around them. The earned media statistics below are the ones with a defensible link to something that matters, plus the ones worth retiring.
The numbers that justify the channel
Start with the reason to do this at all, because the earned media statistics supporting the channel are stronger than the measurement practice suggests.
Muck Rack’s State of Journalism 2026 survey of more than a thousand journalists found that 86% say at least some of their stories begin with a PR pitch, and 30% describe PR relationships as very important to their success. Separately, 40% of journalists choose their own stories while only 3% have them assigned by an editor.
Read together, those figures describe an autonomous professional who depends on outside sources for a meaningful share of their output. That is the entire structural basis for earned media. It is not a channel you are pushing into. It is a supply relationship with people who need what you have, assuming what you have is what they need.
On format, Cision’s State of the Media research has consistently found around 68% of journalists naming press releases among their most useful sources and roughly 74% wanting to receive news announcements. Around 87% prefer email as the pitch channel. Those numbers have been stable for years and they contradict the recurring claim that traditional earned media tactics have stopped working.
And the market is growing. Meltwater has cited projections placing the global PR market above $133 billion by 2027, with US demand for PR specialists forecast to grow about 6% through 2032.
The numbers that explain why most programs underperform
Now the other side, which is where the money goes.
Muck Rack’s 2026 data found half of journalists seldom or never respond to pitches, and 43% saying they seldom receive pitches that match what they cover. Cision’s work found only about 7% of journalists describing the pitches they get as relevant more than half the time, while roughly one in four receives over 100 pitches a week. Industry estimates put favorable response rates near 3%.
Those figures are frequently quoted as evidence that earned media is hard. They are better read as evidence that most earned media effort is misdirected. A 43% rate of beat mismatch is not a difficulty, it is a targeting failure with a known cause.
The practitioner-side numbers complete the picture. Prowly has found around 60% of PR professionals saying media relations got harder than the previous year. Muck Rack has found 57% working more than 40 hours a week and nearly 80% working after hours at least weekly. Meanwhile Meltwater has found roughly 59% of businesses naming “getting responses from journalists” as their biggest PR challenge, and about 46% unable to measure business impact.
So: more hours, more volume, more difficulty, and no measurement of whether any of it worked. That is a system optimizing for the wrong variable.
Earned Media Yield, a formula you can run today
Here is the metric I would put at the top of a report, and it takes ten minutes to calculate from records you already have. I call it Earned Media Yield.
Take a quarter. Count the placements that resulted from a relationship, meaning a journalist who had covered you before, responded to you before, or contacted you. Divide by total placements in the period. That percentage is your Yield.
A program with 60% Yield is compounding. Relationships are producing coverage, which produces more relationships, and next quarter costs less effort than this one. A program with 10% Yield is a treadmill. Every placement was bought with fresh volume, nothing accumulated, and next quarter starts from the same place at the same cost.
The metric is useful for three reasons. It is calculable from your own records without a platform. It moves slowly and honestly, so it cannot be gamed by a volume push. And it predicts next period’s cost, which is the question a finance team is actually asking when they ask about ROI.
Pair it with the simpler targeting check: of every pitch you sent, what share went to a journalist who had published on that specific subject in the previous ninety days? Teams running that number for the first time usually find it between 20% and 40%. Those two percentages together tell you more about program health than any dashboard.
Retire these three metrics
Some widely reported numbers are worse than useless, because they create confident wrong decisions.
Advertising value equivalency. The practice of valuing a placement at what the equivalent ad space would cost. Major industry bodies have discouraged it for well over a decade, for the straightforward reason that editorial coverage and advertising are different things with different effects, and the conversion rate between them is invented. If your report contains an AVE figure, it contains a number somebody made up.
Impressions and reach. These are modeled estimates, typically produced by applying third-party traffic estimates to a publication and multiplying by placement count. They are internally consistent enough to show a trend inside one tool and not accurate enough to report as outcomes. The failure mode is specific: they make a syndicated pickup on a dead aggregator look comparable to a feature read by your actual buyers.
Raw placement count. Cision has found roughly 72% of marketers naming the number of media placements as their top PR metric, which explains a great deal of bad strategy. Counting placements rewards volume and treats a trade publication read by five hundred decision-makers in your category as worth less than a syndicated reprint nobody opened. It also creates exactly the incentive that produces the 43% beat-mismatch figure.
Replacing all three with Yield plus a short list of placements that reached your actual buyers is a less impressive slide and a more defensible one.
What the AI numbers change, and what they do not
Muck Rack’s 2026 finding that 82% of journalists use AI in some form, up from 77% in 2024, is the most discussed statistic in the field and the most misread.
The composition matters. ChatGPT at 47%, Gemini at 22%, Claude at 12%, transcription tools steady at around 40%. Much of this is production workflow rather than editorial judgment, and the transcription figure carries a lot of the growth.
On the practitioner side, Muck Rack has found around 28% of PR professionals using generative AI, with 57% of those users applying it to drafting pitches, 48% to press releases and social copy, and 44% to research. Only about 12% of communications professionals in PR Week and Notified’s work described themselves as very knowledgeable about what AI can do in the discipline.
The combination is worth noting without alarm. The documented failure mode in this channel is irrelevant volume, and the most popular AI application is producing more pitches faster. That is a tool pointed at the wrong bottleneck.
What has genuinely changed is downstream. Earned media now feeds AI answer engines, which means a placement has a second life as a source that gets cited when someone asks a question about your category. Coverage that states checkable facts about you, in text a machine can read, keeps working long after its traffic dies. That is a real shift in the value of a placement, and no standard metric captures it yet.
The platform numbers that should rebuild your media list
The distribution side of earned media changed sharply and most lists have not been updated.
Muck Rack’s 2026 survey found the share of journalists naming X as their most valuable platform fell to 17%, down from 36% in 2024. Facebook led at 28%, LinkedIn reached 20%, and 58% of journalists said they trust LinkedIn for journalistic content. TikTok was seen as untrustworthy by 61%.
More importantly, the same research found only 21% of journalists calling social media very important to producing their work, down from 33% in 2024, while 45% called it very important for promoting what they publish. A third said it was slightly or not important to their reporting.
The implication is concrete. Social platforms are now where journalists distribute, not where they source. Engaging a reporter there is closer to responding to published work than to pitching. The sourcing conversation went back to email, which remains the stated preference of around 87% of journalists.
Benchmarks are mostly a trap
A warning about how to use every number above, because the most common misuse is comparison.
Published industry averages blend wildly different operations. A 3% response rate averaged across teams blasting untargeted lists and teams pitching fifty known contacts is not a benchmark, it is a statistical artifact. Measuring yourself against it tells you nothing about whether your program is working, and it gives a struggling team false comfort while telling a good team it is merely average.
Worse, benchmarks invite the wrong correction. A team that discovers it sits below the average response rate will usually respond by sending more pitches, since volume is the lever closest to hand. That increases the denominator, worsens targeting, and moves the number down. The benchmark caused the decline it was supposed to diagnose.
Use your own prior periods as the comparison instead. Your Yield last quarter against this quarter. Your targeting rate in January against June. Those comparisons hold the operation constant and measure the only thing you control.
The exception is worth naming. Benchmarks are genuinely useful for sanity-checking a vendor’s claims. If an agency projects outcomes far above what the published data suggests is typical, the figures above are good ammunition for asking how.
Where the next shift is likely to land
One forward-looking note, flagged as a judgment rather than a finding.
The measurement problem in earned media has always been that the channel’s main effect is on belief, and belief is hard to instrument. What is changing is that a growing share of belief formation now runs through systems that read text, which means a placement’s influence is increasingly traceable through whether it gets cited in machine-generated answers about your category.
That suggests the metric worth building next is something like citation presence. Whether your earned coverage appears among the sources an answer engine draws on when someone asks a question your business should be the answer to. It is measurable today, crudely, by running those questions and logging which sources get named.
Nobody has standardized this and the tooling is immature. But it addresses the gap every honest practitioner has lived with, which is that the most valuable thing a placement does has never shown up in the report. Teams that start logging it now will have a year of trend data when everyone else starts asking for it.
What to put in next quarter’s report
Of all the earned media statistics available to you, three numbers and a short list beat the dashboard.
Report your Earned Media Yield with the prior two quarters for comparison, because the trend is the signal. Report your targeting rate, the share of pitches that went to someone who had recently published on that subject. Report inbound requests for comment, which is the cleanest available proxy for whether you have become a known source.
Then list the placements that reached people who can buy from you, with a sentence each on why they mattered. Not all of them. The ones that did something.
Leave out the impressions. Leave out the AVE. Leave out the total count. If someone asks for them, explain in two sentences why those numbers would mislead the decision being made, and offer the Yield calculation instead. That conversation is uncomfortable once and useful permanently.
The teams whose earned media programs survive budget scrutiny are not the ones with the biggest numbers. They are the ones who can explain, with arithmetic, why this quarter cost less effort than last quarter for the same result.