Every seasonal link moment that matters in the USA, with the date, whether it moves year to year, and the window to pitch. Dates marked Varies change annually, so the rule is listed and you can roll it forward. Bring your own first-party data to every hook. Never invent a stat.
Pick four or five moments your own data can speak to and ignore the rest. Work backwards from the pitch-by date, not forwards from today. A date on its own is not a story. What earns the link is a number nobody else can publish. Use the month filter below to plan by month, by whether the date moves, or by industry fit.
Find the moment in the calendar.
Subtract outlet lead time. This is the send date.
Subtract 2 to 3 weeks for data, write-up and landing page.
Choose only the dates your own data can honestly speak to. A crowded calendar produces weak pitches. Four strong ones per year will earn more links than thirty generic ones.
Never plan forwards from today. Take the pitch-by column, then count back two to three weeks for the data pull, the write-up and the landing page. Journalists plan seasonal features six to eight weeks out, so late is the same as never.
The hook gets you read. What earns the link is a number nobody else can publish. Use your own first-party data: orders, bookings, reviews, search terms, call logs, claim reasons.
If you cannot show how the number was produced, do not send it. One fabricated figure costs you every relationship you have built.
Every pitch needs a live page with the data, the method and the date. That page is what the link points at, and it is what keeps ranking long after the news cycle ends.
Resolution and reinvention data: what people change versus what they quit.
Share of customers who change a habit in January, pulled from your own sign-up data.
Lifestyle, national news, consumer finance
Health, fitness, finance, SaaS, education
Why resolutions fail, backed by your retention data.
Drop-off curve of January sign-ups by week.
Health, psychology, national
Fitness, apps, education, finance
Mood or engagement data. Say plainly it is a marketing invention if you use it.
Engagement dip or absence spike in mid January.
Lifestyle, health, national
Health, HR, SaaS, travel
Sober-curious spend and the no or low alcohol trend.
No or low alcohol sales versus last January.
Health, food and drink, lifestyle
Drinks, hospitality, health, retail
Only pitch with a substantive program behind it. Commercial pitches are poorly received.
Program outcomes, properly evidenced.
National, business
Any brand with a genuine program
Password hygiene, scam exposure or fraud attempts you observe.
Reused-password rate across your user base.
Tech, education, national
SaaS, fintech, IT, education
Spend, dating and anti-Valentine angles.
Average spend by age, or singles versus couples.
Lifestyle, consumer, national
Retail, dating, florists, hospitality
Spend, travel and gifting data.
Cross-border or community spend data.
Retail, lifestyle, multicultural, national
Retail, travel, food, finance
Food, community and late-night commerce data.
Spend or order-time shift during Ramadan.
Food, community, retail
Food, grocery, hospitality, retail
Repetition or habit-loop data from your own platform.
Your most-repeated user behavior.
Lifestyle, quirky, national
SaaS, retail, media, fitness
Ad spend, betting and food-order data.
Order-volume spike during the game.
Sport, marketing, food, business
Food delivery, betting, marketing, retail
Order volume, topping or late-night ordering data.
Most-ordered topping by state.
Food, lifestyle, national
Food delivery, hospitality, FMCG
Retail and travel data across the long weekend.
Long-weekend spend or booking data.
Retail, travel, national
Retail, travel, auto
A gender-gap number you can evidence, not platitudes.
Your sector's pay or leadership gap, sourced.
National, business, HR, finance
Any B2B, finance, HR, recruitment
Anything numeric in your category, plus the food-desk pun.
Your most surprising number, framed around 3.14.
Food, tech, lifestyle
Food, fintech, data, education
Hospitality, drinks and going-out spend.
Pub or drinks spend data for the day.
Food and drink, lifestyle, national
Hospitality, drinks, retail
Gifting, food and community spend.
Gifting or grocery spend around Eid.
Retail, food, community, national
Retail, food, finance, travel
Usage-by-hour data showing when people are actually awake.
Your platform's overnight activity curve.
Health, lifestyle, science
Health, sleep tech, SaaS, energy
Sleep, productivity and safety data.
Productivity dip the week after the clock change.
Health, lifestyle, science
Health, sleep, energy, SaaS
Productivity, viewing or bracket-behavior data.
Workplace productivity during the tournament.
Sport, business, national
Betting, HR, food, media
Only pitch if the joke carries a real insight. A stunt with no data is coverage you cannot repeat.
A genuine finding, delivered with humor.
Lifestyle, marketing, national
Any consumer brand
Travel, spend and family data.
Domestic travel booking spike.
Travel, retail, lifestyle, national
Travel, retail, food, hospitality
Sustainability data you can actually prove.
Your footprint or customer behavior data.
Environment, business, national
Energy, retail, B2B, property, fashion
Filing timing, refund or deduction data.
When people actually file, from your own data.
Finance, consumer, national
Finance, fintech, accounting
Pop-culture and merch spend data.
Merch or franchise spend data.
Lifestyle, retail, entertainment
Retail, e-commerce, entertainment
Password reuse, breach exposure or reset volumes from your own systems.
Share of users reusing a breached password.
Tech, business, national
SaaS, fintech, IT, B2B
Accessibility failures across your sector, audited properly.
Share of sector sites failing a basic audit.
Tech, business, disability, national
SaaS, retail, government, B2B
Environmental or supply-chain data with a genuine link to your category.
Pollinator-dependent inputs in your supply chain.
Environment, food, lifestyle
Food, agriculture, retail, FMCG
Hospitality and beverage spend data.
Beverage or hospitality spend data.
Food and drink, lifestyle, national
Drinks, hospitality, retail
Spend, gifting and sentiment data.
Average gift spend or most-gifted category.
Retail, lifestyle, consumer
Retail, florists, e-commerce
Travel, grilling or retail data. Treat the observance respectfully.
Long-weekend travel volume data.
Travel, food, national
Travel, food, retail, auto
Sustainability data, evidenced.
Your own environmental or behavior data.
Environment, business, national
Energy, retail, B2B, property
Inclusion data with substance, never rainbow-washing.
Sourced inclusion or representation data.
National, business, lifestyle
Any brand, HR, retail
Only pitch with a genuine program behind it.
Program outcomes, properly evidenced.
National, business, community
Any brand with a genuine program
Gifting and spend data.
Average gift spend or category data.
Retail, lifestyle, consumer
Retail, e-commerce
Emoji or language usage from your own messaging data.
Your most-used emoji, by age or region.
Lifestyle, tech, national
SaaS, messaging, retail, media
Sale-event shopper behavior data.
Basket-size or category data for the event.
Retail, tech, consumer
E-commerce, retail, logistics
Travel, grilling, fireworks-safety or pet-anxiety data.
Travel volume or pet-anxiety data.
National, travel, food, lifestyle
Travel, food, pet, insurance, retail
Pet-adjacent spend, naming or claims data.
Most popular cat names from your records.
Lifestyle, pets, national
Pet, insurance, retail, vet
Product or usage data split by handedness.
Left-handed share of your customers or returns.
Lifestyle, national, quirky
Retail, ergonomics, education, sport
Naming trends, insurance claims or spend from your own records.
Most popular dog names or claim reasons.
Lifestyle, pets, national
Pet, insurance, retail, vet
Education and supplies spend data.
Average back-to-school spend by state.
Education, parenting, retail
Education, retail, e-commerce
Language, naming or search-quirk data. A genuine favorite of light-news slots.
Odd naming or search-term data from your platform.
Lifestyle, quirky, national, radio
Any consumer brand, travel, retail, gaming
Listening, completion or drop-off data.
Where listeners actually stop listening.
Media, tech, marketing
Media, SaaS, marketing, audio
Travel, retail or working-hours data.
Long-weekend travel or spend data.
Travel, retail, business, national
Travel, retail, HR
Seasonal home, spend and reset data.
Seasonal category spend shift.
Home, lifestyle, retail
Property, retail, home services
Consumption and spend data.
Order times or spend by state.
Food and drink, lifestyle, business
Food, hospitality, retail, FMCG
Consumption, spend or productivity-by-caffeine data.
Order times or spend by city.
Food and drink, lifestyle, business
Food, hospitality, retail, FMCG
Wellbeing data with a credible angle. Never a stunt.
Sourced workplace or sector wellbeing data.
Health, HR, national
HR, health, SaaS, education
Breach, scam and password-behavior data.
Risky security habits in your audience.
Tech, business, national
SaaS, fintech, IT, B2B
Spend, trends and pop-culture data.
Costume or confectionery spend data.
Lifestyle, retail, consumer
Retail, food, e-commerce, entertainment
Health data with a credible, careful source.
Sourced screening or awareness data.
Health, lifestyle, national
Health, retail, B2B
Global e-commerce spend and trend data.
Cross-border sale-volume data.
Retail, business, consumer
E-commerce, retail, logistics
Men's health data with a credible source.
Sourced men's health or help-seeking data.
Health, lifestyle, national
Health, grooming, retail, B2B
The definitive sale-behavior and spend story.
Discount-depth or cart-abandon data.
Retail, consumer, national, finance
Retail, e-commerce, finance, SaaS
Online-only sale behavior and device-split data.
Mobile versus desktop or category data.
Retail, tech, consumer
E-commerce, retail, tech
Travel, food and family-spend data.
Travel-volume or grocery spend data.
Travel, food, national
Travel, food, retail, logistics
Independent-retail spend data.
Independent versus chain spend data.
Business, retail, national, regional
Retail, fintech, B2B
Spend, stress, returns and gifting-fail data.
Returns rate or most-regretted-gift data.
Retail, lifestyle, consumer, national
Retail, e-commerce, logistics, finance
Your proprietary year-in-data story.
Your category's defining stat of the year.
Trade press, business, national
Any B2B with first-party data
Celebration, safety and hospitality spend data.
Spend or transport data on the night.
Lifestyle, hospitality, national
Hospitality, transport, drinks, retail
Delivery-window, late-order or returns data.
Share of orders placed after the deadline.
Retail, logistics, consumer
E-commerce, logistics, retail
Use the pitch-by date in the calendar, which is six to eight weeks before the moment for most desks and longer for monthly print. Then work backwards another two to three weeks for pulling your data and building the landing page.
It means planning from the deadline instead of from today. Start at the moment, subtract the outlet lead time to get your pitch-by date, then subtract your own production time. The result is the day you have to start, not the day you would like to start.
Anything marked Varies. Lunar dates like Lunar New Year, Ramadan and Eid move, and so do rule-based dates like the third Monday of January or the fourth Thursday of November. The rule is in the calendar so you can roll it forward each year.
First-party data only you have: order records, booking times, review text, search terms, call reasons, claim types. Combine it with a public source when you need context, and always show your method.
No. Digital PR is $500 a month standalone at CROWD, and the calendar works the same whether you run it yourself or hand it to us. The cost is time and honest data, not media spend.
We pick the moments your data can win, build the landing page the link points at, and send the pitches on the backdated schedule. Digital PR is $500 a month standalone, or bundled into a Stage 1 to 3 growth package.
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