What 5,272 Media Placements Taught Us About What Journalists Actually Want

Most digital PR advice comes from gut feelings and agency case studies with conveniently round numbers. “We earned 50+ links!” Great. From where? Using what angle? With which data? Tied to what timing?

Nobody shares the specifics. So we built our own.

Over several months, we reverse-engineered and catalogued 5,272 earned media placements from successful reactive PR campaigns. Every placement was tagged by topic, outlet, journalist, data source type, seasonal hook, and campaign pattern.

This isn’t a survey of 200 PR professionals about their “best practices.” It’s an analysis of what actually got published. Here’s what we found.

The Dataset

Before we get into findings, some context on what we analyzed.

The core dataset started with 931 documented campaign cases from Search Intelligence, a UK-based reactive PR agency with 50,000+ claimed placements. We traced every placement we could find, verified the outlets, catalogued the campaign mechanics, and expanded the dataset to 5,272 total placements.

Each entry includes: outlet domain, journalist name (when available), topic category, data source type, seasonal hook (if any), and the campaign pattern used.

This isn’t comprehensive — no dataset of earned media placements can be. But 5,272 verified entries is enough to surface reliable patterns.

Finding #1: Five Topics Dominate Everything

Not all topics are created equal in reactive PR. The distribution is dramatically skewed.

The top 5 topics — Finance, Fashion, Travel, Health, and Property — account for roughly 78% of all placements.

What this means for your campaigns: If your brand can credibly connect to any of these five topics, your placement odds increase significantly. An ecommerce brand selling outdoor gear has a natural travel angle. A B2B SaaS company might struggle — unless it can tie its data to finance or health trends.

The data also revealed something counterintuitive about Fashion: it’s the #2 reactive PR topic with 901 placements, but the companies commissioning those studies are rarely fashion brands. They’re gambling sites, VPN providers, and casinos using fashion as a hook to earn links. Of 5,272 placements, only 13 mentioned suits, tailoring, or bespoke fashion.

That gap is one of the reasons I started Presslei.

Finding #2: The Outlet Landscape Is More Concentrated Than You Think

When I started analyzing outlets, I expected a long tail. Instead, I found concentration.

The Reach PLC effect is massive. Express, Mirror, Daily Star, Wales Online, Birmingham Mail, Daily Record — these all belong to Reach PLC, the UK’s largest commercial publisher. Combined, Reach titles account for roughly 734 placements in the dataset.

Here’s why that matters: when a story lands in one Reach outlet, it frequently syndicates across the entire network. One placement becomes 3, 5, or even 8 — each on a different domain with its own authority. This is the network effect of reactive PR that paid link building can never replicate.

MSN sits at the top (589 placements) because it aggregates content from hundreds of publishers. A story in Express or Mirror will often appear on MSN automatically, earning an additional high-authority placement.

The takeaway: Don’t obsess over pitching 500 journalists. Focus on getting into the right networks. One Reach PLC hit can cascade into more coverage than a month of guest post outreach.

Finding #3: Seven Data Sources Power Most Campaigns

Not all data is created equal. Here’s what actually appears in published placements:

The lowest barrier to entry: Google search volume data. You don’t need expensive proprietary datasets. The most common data source in our dataset is simply analyzing what people search for and packaging it into a ranking or trend story.

Instagram data is the #2 source, which makes sense — celebrity follower changes after major events are inherently newsworthy and easy to track.

Expert quotes (128 occurrences) are important for a different reason. They don’t require any data at all — just a credible spokesperson with a relevant opinion on a trending topic. For brands without data assets, expert commentary is the fastest path to earned coverage.

Finding #4: February Is the Densest Month (And Timing Matters More Than Quality)

The seasonal calendar surprised me more than anything else in this analysis.

February is the densest month for reactive PR. Valentine’s Day + Oscars + Grammys + Super Bowl all converge in the same 28-day window. That’s 162 seasonal placements tied to February hooks alone.

This has a practical implication: if you’re planning one big reactive PR push per year, February gives you the most hooks to attach to. But it also means more competition for journalist attention.

The smarter play is to look at underserved windows. Back to school (22 placements) and Prom season (10 placements) have far less competition but still provide clear hooks.

Finding #5: The 10 Patterns That Generate 90% of Placements

This is the most actionable finding. Nearly every successful placement in the dataset follows one of 10 campaign patterns:

Pattern 1: State/City Ranking + Search Volume

Rank US states or UK cities by Google search data. “Study reveals the most [X] states in America.”

Frequency: Highest in the entire dataset — hundreds of placements.

Pattern 2: Celebrity + Google Trends Spike

After a celebrity event (Oscars, album drop, scandal), immediately analyze the search spike.

Frequency: 80-100 placements.

Pattern 3: Expert Tips + Seasonal Hook

Company spokesperson provides 3-7 tips tied to a seasonal moment.

Frequency: 128+ placements.

Pattern 4: Most Expensive/Cheapest Ranking

Compare prices across regions or categories.

Frequency: Very high across finance, property, and travel verticals.

Pattern 5: Fictional Property/Wardrobe Valuation

Calculate what a TV or film character’s home or wardrobe would cost today.

Frequency: 15-20 placements, but with near-100% pickup rate when executed well.

Pattern 6: Social Media Follower Analysis

Analyze Instagram follower changes or TikTok engagement after a viral event.

Frequency: 50+ placements.

Pattern 7: Government Data Repackaged

Take public datasets (Census, ONS, Eurostat) and brand the analysis.

Frequency: 40-50 placements.

Pattern 8: Brain Teaser / Visual Puzzle

Create a shareable visual puzzle credited to the brand.

Frequency: 10-15 placements, but with very high tabloid pickup.

Pattern 9: YouTube/Spotify View Count Ranking

Rank performances or songs by view/listen counts tied to an event.

Frequency: 30-40 placements.

Pattern 10: Wedding/Dating Data + Seasonal Hook

Wedding costs, popular songs, dating app trends. Timed to Valentine’s Day or wedding season.

Frequency: 60+ placements.

We built 5 actionable campaigns from these patterns with actual pitch templates in our campaign ideas post.

Finding #6: Journalist Concentration Is Extreme

A small number of journalists account for a disproportionate share of placements:

• Dr. Tim Sandle (Digital Journal): ~93 placements
• Steven Smith (Reach PLC): ~31 placements

The top 10 journalists by volume account for more placements than the bottom 500 combined.

This doesn’t mean you should only pitch 10 people. It means that some journalists have a demonstrated appetite for data-driven PR stories and publish them consistently. Building relationships with these high-volume publishers is worth 10x the effort of mass-blasting generic pitches to thousands.

What This Means for Ecommerce Brands

If you’re running an ecommerce brand and thinking about digital PR, here’s the practical summary:

Your best angle is probably a ranking. State/city rankings using search data are the highest-frequency pattern. If your product connects to any geography-based trend, start there.

You don’t need expensive data. Google search volumes and Trends data are free and account for a huge share of successful placements.

Target networks, not individual outlets. One placement in a Reach PLC title can cascade to 5-8 domains.

Time your campaigns to seasonal hooks. February and the summer months offer the most attachment points for reactive stories.

Expert commentary is underrated. If you have a credible founder or spokesperson, 128+ placements in our dataset came from expert quotes alone — no data required.

The full methodology and dataset details are available on request. If you want to explore how these patterns could work for your brand specifically, here’s what working with us looks like and what it costs.

About this research: Compiled from publicly available campaign results and verified against outlet archives. About Presslei: We turn these patterns into earned media coverage. PR Power Pack: 8-14 placements, 30-45 days, $3,000. Learn more →