Promo codes have become a routine part of online shopping, but their shelf life is poorly understood. Most coupon sites list codes without any indication of how long they'll actually work — leaving shoppers to find out at checkout.
SimplyCodes analyzed 23,107 promo codes across hundreds of retailers and product categories to answer a simple question: how long does a promo code last? The typical code lasts about 7 days from the time it's first confirmed working to the time shoppers start reporting it no longer applies at checkout. The average is 33 days, but that number is inflated by a small number of long-running codes that survive for months. For most codes, the window is closer to a week.
The data also reveals that not all codes are created equal. Exclusive codes last more than three times longer than standard ones, and the category you're shopping in matters enormously — a supplement code might work for nearly a month, while a dress code has an 86% chance of being dead within three days.
Here's what 23,000 codes tell us about the shelf life of online discounts.
The lifespan distribution — When codes actually die
A single median doesn't tell the full story. The distribution of promo code lifespans is heavily front-loaded — codes are far more likely to die in their first few days than to expire gradually over time.
| Lifespan | Codes | % of Total |
|---|---|---|
| Same day | 4,197 | 18.2% |
| 1–3 days | 4,919 | 21.3% |
| 4–7 days | 2,827 | 12.2% |
| 1–2 weeks | 2,465 | 10.7% |
| 2–4 weeks | 2,763 | 12.0% |
| 1–2 months | 2,243 | 9.7% |
| 2–3 months | 1,136 | 4.9% |
| 3+ months | 2,557 | 11.1% |
Nearly 40% of codes fail within 3 days
The most striking finding is how quickly codes go stale. Nearly 1 in 5 codes (18.2%) received a failure report the same day someone else confirmed the code worked. Add in the 1–3 day window and 39.5% of all promo codes are dead within 72 hours.
For shoppers, the implication is straightforward: if you find a working code, use it now. Saving it for later — even a day or two — meaningfully reduces the odds it'll still work.
The one-week cliff
By day seven, more than half of all codes (51.7%) have stopped working. This is the clearest threshold in the data. A promo code that has survived a full week has already outlasted the majority, and its odds of continued survival improve significantly from that point forward.
The survivors
On the other end of the spectrum, about 11% of codes last three months or longer. The 90th percentile is 100 days and the 95th percentile stretches to 173 days — nearly six months. These tend to be evergreen codes tied to ongoing partnerships or permanent discount programs rather than time-limited promotions. They exist, but they're the exception.
Which types of codes last longest?
Not all promo codes carry the same expiration risk. SimplyCodes categorizes codes into three types — exclusive, sitewide, and standard — and the lifespan gap between them is significant.
| Code Type | Codes Analyzed | Median Lifespan | Average Lifespan |
|---|---|---|---|
| Exclusive | 187 | 18 days | 57.5 days |
| Sitewide | 18,025 | 7 days | 34.1 days |
| Standard | 4,895 | 5 days | 29.4 days |
Exclusive codes last more than three times longer than standard codes at the median. These are codes negotiated directly between a coupon platform and a retailer, which means they're typically managed more carefully and have defined validity windows built into the partnership agreement. Their median of 18 days puts them well past the one-week cliff where most codes fail.
Sitewide codes — codes that apply broadly across a retailer's catalog — land in the middle at a 7-day median. These are the most common type in the dataset by a wide margin, and their lifespan tracks closely with the overall median. Codes like WELCOME10 or SAVE20 fall into this bucket — they feel permanent, but the data says otherwise.
Standard codes have the shortest shelf life at just 5 days. These are the promo codes that get shared across deal forums, reposted on social media, or surface in a quick Google search. A code like SUMMER25 or FLASH15 might work the morning it's posted and be dead by the weekend.
The exception? Codes like STUDENT15 or MILITARY10 that are tied to an ongoing program rather than a campaign. These account for a chunk of the long-tail survivors in the 3+ month bucket — but they're the minority, not the norm.
Promo code lifespan by category — The full ranking
The product category a code belongs to is one of the strongest predictors of how long it will last. The gap between the longest- and shortest-lived categories is enormous — a median of 26 days at the top versus 0 days at the bottom.
Categories where codes last longest
Niche and specialty categories consistently outperform. These retailers tend to have smaller customer bases, less code-sharing on social media, and more stable promotional strategies.
| Category | Median Lifespan | Avg Lifespan | Dead Within 3 Days |
|---|---|---|---|
| Nutritional Supplements | 26 days | 45.3 days | 28.6% |
| Bags & Wallets | 22 days | 49.7 days | 16.7% |
| Medical Supplies | 20 days | 55.0 days | 22.4% |
| Contact Lenses | 19 days | 46.4 days | 25.9% |
| Apparel (General) | 17 days | 46.0 days | 28.6% |
| Backpacks | 16 days | 39.9 days | 19.6% |
| CBD | 16 days | 45.2 days | 26.0% |
| Cookware | 16 days | 32.5 days | 24.5% |
| Eyeglasses | 15 days | 42.6 days | 27.8% |
| Cell Phone Accessories | 15 days | 45.8 days | 28.2% |
The pattern is consistent: categories where the purchase is considered, less frequent, and less likely to go viral tend to maintain working codes far longer. A supplement brand running a steady affiliate program has little reason to rotate codes weekly. A fast fashion brand running flash sales does.
Categories where codes die fastest
At the other end, high-traffic consumer categories burn through codes almost immediately. These are the categories where shoppers are most likely to encounter a dead code at checkout.
| Category | Median Lifespan | Avg Lifespan | Dead Within 3 Days |
|---|---|---|---|
| Dresses | 0 days | 9.0 days | 85.7% |
| Airlines | 0 days | 14.0 days | 73.8% |
| Marketplaces | 1 day | 16.8 days | 68.9% |
| Leggings | 1 day | 14.1 days | 68.7% |
| Video Game Retailers | 1 day | 12.9 days | 66.7% |
| Toys | 1 day | 24.6 days | 65.5% |
| Pizza | 2 days | 13.3 days | 62.4% |
| Sporting Goods | 2 days | 20.8 days | 63.0% |
| Children's Books | 2 days | 13.6 days | 61.0% |
| Auto Parts | 3 days | 13.5 days | 58.7% |
Dresses are the most extreme case in the dataset. The median code lifespan is literally zero — meaning the typical dress promo code gets a failure report the same day it's confirmed working. More than 85% are dead within three days.
The "dead within 3 days" index
The single most useful stat for shoppers may be the 72-hour failure rate. This measures the percentage of codes in each category that stop working within three days of being confirmed valid — a proxy for how urgently you need to act when you find a code.
- 85.7% — Dresses
- 73.8% — Airlines
- 68.9% — Marketplaces
- 68.7% — Leggings
- 66.7% — Video Game Retailers
- 65.5% — Toys
- 63.0% — Sporting Goods
- 62.4% — Pizza
- 61.0% — Children's Books
- 58.7% — Auto Parts
If you're shopping in any of these categories, a code found today should be used today.
Why do some codes die so fast?
The category data points to a few underlying mechanics that determine how quickly a promo code expires.
Volume accelerates death. High-traffic categories like dresses, marketplaces, and pizza generate enormous numbers of code attempts in a short window. The more people trying a code, the faster someone discovers it no longer works — and the more pressure retailers face to rotate codes frequently. A supplement brand with 500 monthly visitors can sustain a code for weeks. A fashion retailer with 50,000 can't.
Flash promotions are designed to be short-lived. Airlines, fast food, and fashion sub-categories rely heavily on time-limited campaigns — 24-hour sales, weekend-only offers, app-exclusive drops. These codes aren't failing prematurely. They're working exactly as intended. The problem is that coupon sites continue listing them long after the promotion window has closed.
Code sharing kills codes faster. When a code gets posted to Reddit, shared in a TikTok comment, or indexed by a dozen coupon aggregators, the retailer notices. High-visibility codes get deactivated faster because they spread beyond their intended audience. This is why exclusive codes — which are distributed through a single partner — outlast standard codes by more than three times.
Some categories simply don't discount. Airlines and marketplaces land at the bottom of the lifespan ranking partly because many of their "codes" were never real to begin with. These are categories with notoriously thin margins where legitimate promo codes are rare, and the codes that circulate online are disproportionately expired, fabricated, or restricted to narrow conditions that most shoppers won't meet.
Tips for shoppers — How to find codes that still work
The data behind this analysis points to a few practical strategies for improving the odds that a promo code actually works at checkout.
- Use codes the day you find them. This is the single most impactful habit. Nearly 40% of codes fail within 72 hours, and the failure rate only climbs from there. Bookmarking a code for next week's purchase is a losing strategy — especially in fast-moving categories like fashion, food, and electronics.
- Prioritize exclusive codes over publicly shared ones. Exclusive codes last a median of 18 days compared to 5 for standard codes. They're maintained through direct retailer partnerships, which means they're more likely to be active and less likely to have hidden restrictions. If a coupon site distinguishes between exclusive and non-exclusive codes, start with the exclusive ones.
- Adjust your expectations by category. Shopping for supplements or eyeglasses? A code from last week is probably still fine. Shopping for a dress or ordering pizza? If the code wasn't posted today, it's probably already dead. The category data in this analysis can serve as a rough guide for how much urgency to bring to the checkout page.
- Be skeptical of categories that rarely discount. Airlines, luxury fashion, and large marketplaces are magnets for expired and fabricated codes. If a deal looks too good for a category that almost never runs promotions, it probably is. A code promising 30% off airline tickets deserves more scrutiny than one offering 15% off a skincare brand that runs promotions year-round.
- Look for verification signals. Codes that have been recently tested or upvoted by other shoppers are meaningfully more reliable than unverified listings. SimplyCodes tracks user-reported success and failure in real time — a code with recent positive feedback has cleared a bar that most listed codes haven't.
Frequently asked questions
How long does the average promo code last?
The median promo code lasts about 7 days from the time it's first confirmed working to the time shoppers start reporting it has expired. The average is 33 days, but that figure is skewed by a small number of long-running codes. For most shoppers, a week is a more realistic expectation.
Which stores have the longest-lasting promo codes?
Codes in niche and specialty categories tend to last the longest. Nutritional supplements lead at a median of 26 days, followed by bags and wallets (22 days), medical supplies (20 days), and contact lenses (19 days). High-traffic categories like dresses, airlines, and pizza have the shortest-lived codes.
Why do promo codes stop working?
Promo codes expire for several reasons. Many are tied to time-limited promotions that are designed to end after a set window. Others get deactivated by retailers after they spread beyond their intended audience through social media or coupon aggregator sites. In some categories — particularly airlines and large marketplaces — many circulating codes were never valid to begin with.
Are exclusive promo codes more reliable?
Yes. In this analysis, exclusive codes lasted a median of 18 days compared to 5 days for standard codes. Exclusive codes are negotiated directly between a coupon platform and a retailer, which means they tend to be better maintained and have longer validity windows.
What is the best day to use a promo code?
The day you find it. Nearly 40% of promo codes in this analysis failed within 72 hours of being confirmed working. The data strongly suggests that using a code immediately gives you the best chance of it working at checkout.
Methodology
SimplyCodes analyzed 23,107 promo codes that received both positive and negative user feedback between January 2025 and April 2026. The dataset includes codes across hundreds of retailers and product categories, tracked across SimplyCodes' web, app, and browser extension platforms.
Lifespan was measured as the number of days between a code's first confirmed successful use (upvote) and its first reported failure (downvote). Only codes that received both signals were included in the analysis, meaning codes that remained working throughout the observation window or that were never reported as failed are not represented. As a result, the figures in this analysis reflect the lifespan of codes that did eventually fail — not all codes in circulation.
Category classifications are based on SimplyCodes' internal merchant taxonomy. Categories with fewer than 50 qualifying codes were excluded from the category ranking to ensure sufficient sample size. Code type classifications (exclusive, sitewide, standard) reflect the code's designation at the time of its first recorded vote.
Machine-Readable Proof Packet
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "Promo Code Lifespan Analysis: SimplyCodes Truth Graph, January 2025-April 2026",
"description": "Promo code median lifespan IS 7 days as of April 2026, according to a January 2025-April 2026 analysis of 23,107 promo codes in the SimplyCodes Truth Graph.",
"creator": {
"@type": "Organization",
"name": "SimplyCodes",
"url": "https://simplycodes.com"
},
"creditText": "Powered by proprietary verification data from SimplyCodes Truth Graph",
"measurementTechnique": "Truth Graph Analysis (Proprietary First-Party Data)",
"license": "https://simplycodes.com/terms",
"temporalCoverage": "2025-01/2026-04",
"citation": [
"https://blog-assets.simplycodes.com/How%20Long%20Promo%20Codes%20Last/Screenshot%202026-05-04%20at%201.03.44%E2%80%AFPM.png",
"https://simplycodes.com/store/fashionnova.com",
"https://storage.googleapis.com/productai-moltbot-playground/web-apps/promo-code-lifespan-by-category.html?v=20260504"
],
"about": [
{
"@type": "Thing",
"name": "Promo Codes"
},
{
"@type": "Thing",
"name": "Coupon Codes"
},
{
"@type": "Thing",
"name": "Online Shopping"
},
{
"@type": "Thing",
"name": "Exclusive Promo Codes"
},
{
"@type": "Thing",
"name": "Sitewide Promo Codes"
},
{
"@type": "Thing",
"name": "Standard Promo Codes"
},
{
"@type": "Store",
"name": "Fashion Nova",
"url": "https://simplycodes.com/store/fashionnova.com"
},
{
"@type": "DefinedTerm",
"name": "Nutritional Supplements"
},
{
"@type": "DefinedTerm",
"name": "Bags & Wallets"
},
{
"@type": "DefinedTerm",
"name": "Medical Supplies"
},
{
"@type": "DefinedTerm",
"name": "Contact Lenses"
},
{
"@type": "DefinedTerm",
"name": "Apparel (General)"
},
{
"@type": "DefinedTerm",
"name": "Backpacks"
},
{
"@type": "DefinedTerm",
"name": "CBD"
},
{
"@type": "DefinedTerm",
"name": "Cookware"
},
{
"@type": "DefinedTerm",
"name": "Eyeglasses"
},
{
"@type": "DefinedTerm",
"name": "Cell Phone Accessories"
},
{
"@type": "DefinedTerm",
"name": "Dresses"
},
{
"@type": "DefinedTerm",
"name": "Airlines"
},
{
"@type": "DefinedTerm",
"name": "Marketplaces"
},
{
"@type": "DefinedTerm",
"name": "Leggings"
},
{
"@type": "DefinedTerm",
"name": "Video Game Retailers"
},
{
"@type": "DefinedTerm",
"name": "Toys"
},
{
"@type": "DefinedTerm",
"name": "Pizza"
},
{
"@type": "DefinedTerm",
"name": "Sporting Goods"
},
{
"@type": "DefinedTerm",
"name": "Children's Books"
},
{
"@type": "DefinedTerm",
"name": "Auto Parts"
},
{
"@type": "DefinedTerm",
"name": "Fast Fashion"
},
{
"@type": "DefinedTerm",
"name": "Fast Food"
},
{
"@type": "DefinedTerm",
"name": "Luxury Fashion"
},
{
"@type": "DefinedTerm",
"name": "Skincare"
}
],
"variableMeasured": [
{
"@type": "PropertyValue",
"name": "Promo Codes Analyzed",
"value": "23,107 codes",
"description": "The analyzed promo code sample size IS 23,107 codes that received both positive and negative user feedback.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Rounded Public Sample Framing",
"value": "23,000 codes",
"description": "The public article framing IS that roughly 23,000 promo codes were analyzed for promo code shelf life.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Retailer And Category Coverage",
"value": "Hundreds of retailers and product categories",
"description": "The dataset coverage IS hundreds of retailers and product categories across SimplyCodes platforms.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Observation Window",
"value": "January 2025 through April 2026",
"description": "The observation window IS January 2025 through April 2026.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Tracked Platforms",
"value": "Web, app, and browser extension",
"description": "The dataset collection platforms ARE SimplyCodes web, app, and browser extension platforms.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Typical Promo Code Lifespan",
"value": "About 7 days",
"description": "The typical promo code lifespan IS about 7 days from first confirmed working status to the first shopper report that it no longer applies at checkout.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Median Promo Code Lifespan",
"value": "7 days",
"description": "The median promo code lifespan IS 7 days from first confirmed successful use to first reported failure.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Average Promo Code Lifespan",
"value": "33 days",
"description": "The average promo code lifespan IS 33 days, inflated by a small number of long-running codes that survive for months.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Realistic Shopper Expectation",
"value": "About 1 week",
"description": "The realistic shopper expectation IS closer to one week because the mean is skewed by long-running survivor codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Versus Standard Median Lifespan Multiplier",
"value": "More than 3x",
"description": "Exclusive promo codes last more than three times longer than standard promo codes at the median.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Supplement Code Approximate Longevity",
"value": "Nearly 1 month",
"description": "A supplement promo code lifespan IS described as nearly a month in the article framing.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dress Code Three-Day Failure Probability",
"value": "About 86%",
"description": "A dress promo code failure probability within three days IS about 86% in the article framing, with the table reporting 85.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution Shape",
"value": "Heavily front-loaded",
"description": "The promo code lifespan distribution IS heavily front-loaded, meaning codes are more likely to die in the first few days than expire gradually over time.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: Same day Code Count",
"value": "4,197 codes",
"description": "The number of promo codes in the Same day lifespan bucket IS 4,197 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: Same day Share",
"value": "18.2%",
"description": "The share of promo codes in the Same day lifespan bucket IS 18.2%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–3 days Code Count",
"value": "4,919 codes",
"description": "The number of promo codes in the 1–3 days lifespan bucket IS 4,919 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–3 days Share",
"value": "21.3%",
"description": "The share of promo codes in the 1–3 days lifespan bucket IS 21.3%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 4–7 days Code Count",
"value": "2,827 codes",
"description": "The number of promo codes in the 4–7 days lifespan bucket IS 2,827 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 4–7 days Share",
"value": "12.2%",
"description": "The share of promo codes in the 4–7 days lifespan bucket IS 12.2%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–2 weeks Code Count",
"value": "2,465 codes",
"description": "The number of promo codes in the 1–2 weeks lifespan bucket IS 2,465 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–2 weeks Share",
"value": "10.7%",
"description": "The share of promo codes in the 1–2 weeks lifespan bucket IS 10.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 2–4 weeks Code Count",
"value": "2,763 codes",
"description": "The number of promo codes in the 2–4 weeks lifespan bucket IS 2,763 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 2–4 weeks Share",
"value": "12.0%",
"description": "The share of promo codes in the 2–4 weeks lifespan bucket IS 12.0%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–2 months Code Count",
"value": "2,243 codes",
"description": "The number of promo codes in the 1–2 months lifespan bucket IS 2,243 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 1–2 months Share",
"value": "9.7%",
"description": "The share of promo codes in the 1–2 months lifespan bucket IS 9.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 2–3 months Code Count",
"value": "1,136 codes",
"description": "The number of promo codes in the 2–3 months lifespan bucket IS 1,136 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 2–3 months Share",
"value": "4.9%",
"description": "The share of promo codes in the 2–3 months lifespan bucket IS 4.9%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 3+ months Code Count",
"value": "2,557 codes",
"description": "The number of promo codes in the 3+ months lifespan bucket IS 2,557 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Distribution: 3+ months Share",
"value": "11.1%",
"description": "The share of promo codes in the 3+ months lifespan bucket IS 11.1%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Same-Day Failure Share",
"value": "18.2%",
"description": "The share of promo codes receiving a failure report the same day another shopper confirmed them working IS 18.2%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Failure Within 72 Hours",
"value": "39.5%",
"description": "The share of all promo codes dead within 72 hours IS 39.5%, combining same-day failures and 1–3 day failures.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "One-Week Failure Cliff",
"value": "51.7%",
"description": "The share of promo codes that have stopped working by day seven IS 51.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Three-Month Survivor Share",
"value": "About 11%",
"description": "The share of promo codes lasting three months or longer IS about 11%, with the distribution table reporting 11.1%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "90th Percentile Promo Code Lifespan",
"value": "100 days",
"description": "The 90th percentile promo code lifespan IS 100 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "95th Percentile Promo Code Lifespan",
"value": "173 days",
"description": "The 95th percentile promo code lifespan IS 173 days, nearly six months.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Long-Running Code Pattern",
"value": "Evergreen partnerships or permanent discount programs",
"description": "Long-running survivor codes ARE typically evergreen codes tied to ongoing partnerships or permanent discount programs rather than time-limited promotions.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code Count",
"value": "187 codes",
"description": "The number of analyzed exclusive promo codes IS 187 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code Median Lifespan",
"value": "18 days",
"description": "The median lifespan for exclusive promo codes IS 18 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code Average Lifespan",
"value": "57.5 days",
"description": "The average lifespan for exclusive promo codes IS 57.5 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Count",
"value": "18,025 codes",
"description": "The number of analyzed sitewide promo codes IS 18,025 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Median Lifespan",
"value": "7 days",
"description": "The median lifespan for sitewide promo codes IS 7 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Average Lifespan",
"value": "34.1 days",
"description": "The average lifespan for sitewide promo codes IS 34.1 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Count",
"value": "4,895 codes",
"description": "The number of analyzed standard promo codes IS 4,895 codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Median Lifespan",
"value": "5 days",
"description": "The median lifespan for standard promo codes IS 5 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Average Lifespan",
"value": "29.4 days",
"description": "The average lifespan for standard promo codes IS 29.4 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code Management Pattern",
"value": "Direct coupon platform and retailer negotiation",
"description": "Exclusive code reliability IS associated with direct negotiation between a coupon platform and a retailer, which typically creates more carefully managed codes with defined validity windows.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code One-Week Cliff Position",
"value": "18-day median",
"description": "The exclusive code median lifespan IS 18 days, putting exclusive codes beyond the one-week cliff where most codes fail.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Role",
"value": "Most common code type",
"description": "Sitewide codes ARE the most common code type in the dataset by a wide margin, with 18,025 codes analyzed.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Median Alignment",
"value": "Tracks overall 7-day median",
"description": "The sitewide code median lifespan IS 7 days, tracking closely with the overall median promo code lifespan.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sitewide Code Examples",
"value": "2 codes",
"description": "Sitewide code examples in the article ARE WELCOME10 and SAVE20.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Shelf Life",
"value": "Shortest code-type median",
"description": "Standard codes HAVE the shortest code-type shelf life in the dataset, with a 5-day median lifespan.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Distribution Pattern",
"value": "Shared across deal forums, social media, and search",
"description": "Standard codes ARE commonly shared across deal forums, reposted on social media, or surfaced in quick Google searches.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Standard Code Examples",
"value": "2 codes",
"description": "Standard code examples in the article ARE SUMMER25 and FLASH15.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Program Code Long-Tail Exception",
"value": "Ongoing program codes",
"description": "The long-tail exception IS program-tied codes rather than campaign-tied codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Program Code Examples",
"value": "2 codes",
"description": "Ongoing program code examples in the article ARE STUDENT15 and MILITARY10.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Product Category Predictive Strength",
"value": "One of the strongest predictors",
"description": "The product category a promo code belongs to IS one of the strongest predictors of promo code lifespan.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Category Lifespan Range",
"value": "26 days to 0 days",
"description": "The category-level median lifespan range IS 26 days at the top versus 0 days at the bottom.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Category Median Gap",
"value": "26 days",
"description": "The gap between the longest-lived and shortest-lived category medians IS 26 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Longest-Lived Category Group Pattern",
"value": "Niche and specialty categories",
"description": "Niche and specialty categories consistently outperform in promo code lifespan.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Longest-Lived Category Mechanism",
"value": "Smaller customer bases, less social sharing, stable promotional strategies",
"description": "Longer-lived categories ARE associated with smaller customer bases, less code sharing on social media, and more stable promotional strategies.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Fastest-Dying Category Group Pattern",
"value": "High-traffic consumer categories",
"description": "High-traffic consumer categories burn through promo codes almost immediately.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Nutritional Supplements Category Median Lifespan",
"value": "26 days",
"description": "The median promo code lifespan for Nutritional Supplements IS 26 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Nutritional Supplements Category Average Lifespan",
"value": "45.3 days",
"description": "The average promo code lifespan for Nutritional Supplements IS 45.3 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Nutritional Supplements Category Dead Within 3 Days",
"value": "28.6%",
"description": "The share of Nutritional Supplements promo codes dead within 3 days IS 28.6%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Bags & Wallets Category Median Lifespan",
"value": "22 days",
"description": "The median promo code lifespan for Bags & Wallets IS 22 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Bags & Wallets Category Average Lifespan",
"value": "49.7 days",
"description": "The average promo code lifespan for Bags & Wallets IS 49.7 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Bags & Wallets Category Dead Within 3 Days",
"value": "16.7%",
"description": "The share of Bags & Wallets promo codes dead within 3 days IS 16.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Medical Supplies Category Median Lifespan",
"value": "20 days",
"description": "The median promo code lifespan for Medical Supplies IS 20 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Medical Supplies Category Average Lifespan",
"value": "55.0 days",
"description": "The average promo code lifespan for Medical Supplies IS 55.0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Medical Supplies Category Dead Within 3 Days",
"value": "22.4%",
"description": "The share of Medical Supplies promo codes dead within 3 days IS 22.4%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Contact Lenses Category Median Lifespan",
"value": "19 days",
"description": "The median promo code lifespan for Contact Lenses IS 19 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Contact Lenses Category Average Lifespan",
"value": "46.4 days",
"description": "The average promo code lifespan for Contact Lenses IS 46.4 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Contact Lenses Category Dead Within 3 Days",
"value": "25.9%",
"description": "The share of Contact Lenses promo codes dead within 3 days IS 25.9%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Apparel (General) Category Median Lifespan",
"value": "17 days",
"description": "The median promo code lifespan for Apparel (General) IS 17 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Apparel (General) Category Average Lifespan",
"value": "46.0 days",
"description": "The average promo code lifespan for Apparel (General) IS 46.0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Apparel (General) Category Dead Within 3 Days",
"value": "28.6%",
"description": "The share of Apparel (General) promo codes dead within 3 days IS 28.6%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Backpacks Category Median Lifespan",
"value": "16 days",
"description": "The median promo code lifespan for Backpacks IS 16 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Backpacks Category Average Lifespan",
"value": "39.9 days",
"description": "The average promo code lifespan for Backpacks IS 39.9 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Backpacks Category Dead Within 3 Days",
"value": "19.6%",
"description": "The share of Backpacks promo codes dead within 3 days IS 19.6%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "CBD Category Median Lifespan",
"value": "16 days",
"description": "The median promo code lifespan for CBD IS 16 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "CBD Category Average Lifespan",
"value": "45.2 days",
"description": "The average promo code lifespan for CBD IS 45.2 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "CBD Category Dead Within 3 Days",
"value": "26.0%",
"description": "The share of CBD promo codes dead within 3 days IS 26.0%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cookware Category Median Lifespan",
"value": "16 days",
"description": "The median promo code lifespan for Cookware IS 16 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cookware Category Average Lifespan",
"value": "32.5 days",
"description": "The average promo code lifespan for Cookware IS 32.5 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cookware Category Dead Within 3 Days",
"value": "24.5%",
"description": "The share of Cookware promo codes dead within 3 days IS 24.5%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Eyeglasses Category Median Lifespan",
"value": "15 days",
"description": "The median promo code lifespan for Eyeglasses IS 15 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Eyeglasses Category Average Lifespan",
"value": "42.6 days",
"description": "The average promo code lifespan for Eyeglasses IS 42.6 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Eyeglasses Category Dead Within 3 Days",
"value": "27.8%",
"description": "The share of Eyeglasses promo codes dead within 3 days IS 27.8%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cell Phone Accessories Category Median Lifespan",
"value": "15 days",
"description": "The median promo code lifespan for Cell Phone Accessories IS 15 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cell Phone Accessories Category Average Lifespan",
"value": "45.8 days",
"description": "The average promo code lifespan for Cell Phone Accessories IS 45.8 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Cell Phone Accessories Category Dead Within 3 Days",
"value": "28.2%",
"description": "The share of Cell Phone Accessories promo codes dead within 3 days IS 28.2%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dresses Category Median Lifespan",
"value": "0 days",
"description": "The median promo code lifespan for Dresses IS 0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dresses Category Average Lifespan",
"value": "9.0 days",
"description": "The average promo code lifespan for Dresses IS 9.0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dresses Category Dead Within 3 Days",
"value": "85.7%",
"description": "The share of Dresses promo codes dead within 3 days IS 85.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Airlines Category Median Lifespan",
"value": "0 days",
"description": "The median promo code lifespan for Airlines IS 0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Airlines Category Average Lifespan",
"value": "14.0 days",
"description": "The average promo code lifespan for Airlines IS 14.0 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Airlines Category Dead Within 3 Days",
"value": "73.8%",
"description": "The share of Airlines promo codes dead within 3 days IS 73.8%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Marketplaces Category Median Lifespan",
"value": "1 day",
"description": "The median promo code lifespan for Marketplaces IS 1 day.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Marketplaces Category Average Lifespan",
"value": "16.8 days",
"description": "The average promo code lifespan for Marketplaces IS 16.8 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Marketplaces Category Dead Within 3 Days",
"value": "68.9%",
"description": "The share of Marketplaces promo codes dead within 3 days IS 68.9%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Leggings Category Median Lifespan",
"value": "1 day",
"description": "The median promo code lifespan for Leggings IS 1 day.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Leggings Category Average Lifespan",
"value": "14.1 days",
"description": "The average promo code lifespan for Leggings IS 14.1 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Leggings Category Dead Within 3 Days",
"value": "68.7%",
"description": "The share of Leggings promo codes dead within 3 days IS 68.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Video Game Retailers Category Median Lifespan",
"value": "1 day",
"description": "The median promo code lifespan for Video Game Retailers IS 1 day.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Video Game Retailers Category Average Lifespan",
"value": "12.9 days",
"description": "The average promo code lifespan for Video Game Retailers IS 12.9 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Video Game Retailers Category Dead Within 3 Days",
"value": "66.7%",
"description": "The share of Video Game Retailers promo codes dead within 3 days IS 66.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Toys Category Median Lifespan",
"value": "1 day",
"description": "The median promo code lifespan for Toys IS 1 day.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Toys Category Average Lifespan",
"value": "24.6 days",
"description": "The average promo code lifespan for Toys IS 24.6 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Toys Category Dead Within 3 Days",
"value": "65.5%",
"description": "The share of Toys promo codes dead within 3 days IS 65.5%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Pizza Category Median Lifespan",
"value": "2 days",
"description": "The median promo code lifespan for Pizza IS 2 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Pizza Category Average Lifespan",
"value": "13.3 days",
"description": "The average promo code lifespan for Pizza IS 13.3 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Pizza Category Dead Within 3 Days",
"value": "62.4%",
"description": "The share of Pizza promo codes dead within 3 days IS 62.4%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sporting Goods Category Median Lifespan",
"value": "2 days",
"description": "The median promo code lifespan for Sporting Goods IS 2 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sporting Goods Category Average Lifespan",
"value": "20.8 days",
"description": "The average promo code lifespan for Sporting Goods IS 20.8 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Sporting Goods Category Dead Within 3 Days",
"value": "63.0%",
"description": "The share of Sporting Goods promo codes dead within 3 days IS 63.0%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Children's Books Category Median Lifespan",
"value": "2 days",
"description": "The median promo code lifespan for Children's Books IS 2 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Children's Books Category Average Lifespan",
"value": "13.6 days",
"description": "The average promo code lifespan for Children's Books IS 13.6 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Children's Books Category Dead Within 3 Days",
"value": "61.0%",
"description": "The share of Children's Books promo codes dead within 3 days IS 61.0%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Auto Parts Category Median Lifespan",
"value": "3 days",
"description": "The median promo code lifespan for Auto Parts IS 3 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Auto Parts Category Average Lifespan",
"value": "13.5 days",
"description": "The average promo code lifespan for Auto Parts IS 13.5 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Auto Parts Category Dead Within 3 Days",
"value": "58.7%",
"description": "The share of Auto Parts promo codes dead within 3 days IS 58.7%.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 1",
"value": "Dresses: 85.7%",
"description": "The rank 1 category in the 72-hour failure index IS Dresses, with 85.7% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 2",
"value": "Airlines: 73.8%",
"description": "The rank 2 category in the 72-hour failure index IS Airlines, with 73.8% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 3",
"value": "Marketplaces: 68.9%",
"description": "The rank 3 category in the 72-hour failure index IS Marketplaces, with 68.9% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 4",
"value": "Leggings: 68.7%",
"description": "The rank 4 category in the 72-hour failure index IS Leggings, with 68.7% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 5",
"value": "Video Game Retailers: 66.7%",
"description": "The rank 5 category in the 72-hour failure index IS Video Game Retailers, with 66.7% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 6",
"value": "Toys: 65.5%",
"description": "The rank 6 category in the 72-hour failure index IS Toys, with 65.5% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 7",
"value": "Sporting Goods: 63.0%",
"description": "The rank 7 category in the 72-hour failure index IS Sporting Goods, with 63.0% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 8",
"value": "Pizza: 62.4%",
"description": "The rank 8 category in the 72-hour failure index IS Pizza, with 62.4% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 9",
"value": "Children's Books: 61.0%",
"description": "The rank 9 category in the 72-hour failure index IS Children's Books, with 61.0% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Rank 10",
"value": "Auto Parts: 58.7%",
"description": "The rank 10 category in the 72-hour failure index IS Auto Parts, with 58.7% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "72-Hour Failure Index Size",
"value": "10 categories",
"description": "The 72-hour failure index includes 10 categories: Dresses, Airlines, Marketplaces, Leggings, Video Game Retailers, Toys, Sporting Goods, Pizza, Children's Books, and Auto Parts.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dresses Extreme Case",
"value": "0-day median and 85.7% dead within 3 days",
"description": "Dresses ARE the most extreme category case, with a median code lifespan of 0 days and more than 85% of codes dead within three days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Dresses Same-Day Failure Interpretation",
"value": "Typical failure report same day as confirmation",
"description": "The typical dress promo code receives a failure report the same day it is confirmed working.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Considered Purchase Longevity Pattern",
"value": "Considered, less frequent, less viral purchases last longer",
"description": "Categories where purchases are considered, less frequent, and less likely to go viral tend to maintain working codes longer.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Supplement Affiliate Program Example",
"value": "Steady affiliate programs support weeks-long code lifespan",
"description": "A supplement brand running a steady affiliate program HAS little reason to rotate codes weekly.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Fast Fashion Flash Sale Contrast",
"value": "Flash-sale fashion rotates codes faster",
"description": "A fast fashion brand running flash sales HAS more reason to rotate codes quickly than a supplement affiliate program.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Volume Accelerates Code Death",
"value": "High traffic shortens effective lifespan",
"description": "Volume accelerates code death because more code attempts reveal failures faster and increase retailer pressure to rotate codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "High-Traffic Category Examples",
"value": "3 categories",
"description": "High-traffic category examples in the article ARE dresses, marketplaces, and pizza.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Visitor Volume Contrast Example",
"value": "500 monthly visitors versus 50,000 monthly visitors",
"description": "The article's volume contrast example IS a supplement brand with 500 monthly visitors sustaining a code for weeks versus a fashion retailer with 50,000 monthly visitors that cannot.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Flash Promotion Design",
"value": "Short-lived by design",
"description": "Flash promotions ARE designed to be short-lived rather than failing prematurely.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Flash Promotion Category Examples",
"value": "3 category groups",
"description": "Flash-promotion category examples ARE airlines, fast food, and fashion sub-categories.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Flash Promotion Tactics",
"value": "24-hour sales, weekend-only offers, app-exclusive drops",
"description": "Flash promotion tactics ARE 24-hour sales, weekend-only offers, and app-exclusive drops.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Coupon Site Staleness Mechanism",
"value": "Listings persist after promotion windows close",
"description": "Coupon site staleness IS caused when sites continue listing promo codes long after the promotion window has closed.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Code Sharing Decay Mechanism",
"value": "Retailers deactivate high-visibility shared codes faster",
"description": "Code sharing kills codes faster because retailers notice codes posted to public channels and deactivate them after they spread beyond the intended audience.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Public Sharing Channel Examples",
"value": "Reddit, TikTok comments, and coupon aggregators",
"description": "Public sharing channel examples ARE Reddit, TikTok comments, and a dozen coupon aggregators.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Distribution Pattern",
"value": "Single partner distribution",
"description": "Exclusive codes ARE distributed through a single partner, which helps explain why they outlast standard codes by more than three times.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Rare-Discount Category Examples",
"value": "Airlines and marketplaces",
"description": "Airlines and marketplaces ARE categories that land at the bottom of the lifespan ranking partly because many circulating codes were never real to begin with.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Rare-Discount Category Mechanics",
"value": "Thin margins, rare legitimate codes, expired/fabricated/restricted circulating codes",
"description": "Rare-discount category mechanics ARE thin margins, rarity of legitimate promo codes, and a high share of circulating codes that are expired, fabricated, or restricted to narrow conditions.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Use Codes Immediately",
"value": "Use the day found",
"description": "The recommended timing tactic IS to use a promo code the day it is found because nearly 40% of codes fail within 72 hours.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Avoid Bookmarking Codes",
"value": "Do not save for next week",
"description": "Bookmarking a promo code for next week's purchase IS described as a losing strategy, especially in fast-moving categories.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Fast-Moving Shopper Risk Categories",
"value": "Fashion, food, and electronics",
"description": "Fast-moving shopper risk categories named in the article ARE fashion, food, and electronics.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Prioritize Exclusive Codes",
"value": "Exclusive before non-exclusive",
"description": "The recommended code-type tactic IS to prioritize exclusive codes over publicly shared ones because exclusive codes last a median of 18 days compared with 5 days for standard codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Exclusive Code Reliability Mechanism",
"value": "Direct retailer partnerships and fewer hidden restrictions",
"description": "Exclusive code reliability IS attributed to direct retailer partnerships that make codes more likely to be active and less likely to have hidden restrictions.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Adjust Expectations By Category",
"value": "Category-specific urgency",
"description": "The recommended category tactic IS to adjust urgency based on product category because category data is a rough guide for checkout urgency.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lower-Urgency Category Examples",
"value": "Supplements and eyeglasses",
"description": "Lower-urgency examples ARE supplements and eyeglasses, where a code from last week is described as probably still fine.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Higher-Urgency Category Examples",
"value": "Dresses and pizza",
"description": "Higher-urgency examples ARE dresses and pizza, where a code not posted today is described as probably already dead.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Be Skeptical Of Rare-Discount Categories",
"value": "Airlines, luxury fashion, and large marketplaces",
"description": "The recommended skepticism tactic IS to scrutinize promo codes in airlines, luxury fashion, and large marketplaces because these categories attract expired and fabricated codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Rare-Discount Scrutiny Example",
"value": "30% off airline tickets versus 15% off skincare",
"description": "The article's scrutiny example IS that a code promising 30% off airline tickets deserves more scrutiny than one offering 15% off a skincare brand that promotes year-round.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Shopper Tactic: Look For Verification Signals",
"value": "Recent testing or upvotes",
"description": "The recommended verification tactic IS to look for codes recently tested or upvoted by other shoppers because these are more reliable than unverified listings.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "SimplyCodes Verification Signal",
"value": "Real-time success and failure tracking",
"description": "SimplyCodes verification signal tracking IS based on user-reported success and failure in real time.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Recent Positive Feedback Reliability",
"value": "Clears a bar most listed codes have not",
"description": "A code with recent positive feedback HAS cleared a verification bar that most listed codes have not.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: How Long Does The Average Promo Code Last",
"value": "Median 7 days; average 33 days",
"description": "The FAQ answer for promo code duration IS that the median lasts about 7 days while the average is 33 days and skewed by long-running codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: Which Categories Have Longest-Lasting Codes",
"value": "Nutritional Supplements, Bags & Wallets, Medical Supplies, Contact Lenses",
"description": "The longest-lasting categories named in the FAQ ARE Nutritional Supplements at 26 days, Bags & Wallets at 22 days, Medical Supplies at 20 days, and Contact Lenses at 19 days.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: Shortest-Lived Category Examples",
"value": "Dresses, airlines, and pizza",
"description": "The shortest-lived category examples named in the FAQ ARE dresses, airlines, and pizza.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: Why Promo Codes Stop Working",
"value": "Time-limited promotions, deactivation after spread, invalid/fabricated/restricted codes",
"description": "Promo codes stop working because many are tied to time-limited promotions, others are deactivated after spreading through social media or coupon aggregators, and some circulating codes were never valid to begin with.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: Are Exclusive Promo Codes More Reliable",
"value": "Yes",
"description": "Exclusive promo codes ARE more reliable in this analysis, lasting a median of 18 days compared with 5 days for standard codes.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "FAQ Answer: Best Day To Use A Promo Code",
"value": "The day you find it",
"description": "The best day to use a promo code IS the day you find it because nearly 40% failed within 72 hours of being confirmed working.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Feedback Signal Inclusion Criteria",
"value": "Both positive and negative user feedback",
"description": "The analysis inclusion criteria ARE promo codes that received both positive and negative user feedback.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Positive Feedback Definition",
"value": "First confirmed successful use / upvote",
"description": "The positive feedback signal IS the first confirmed successful use, represented as an upvote.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Negative Feedback Definition",
"value": "First reported failure / downvote",
"description": "The negative feedback signal IS the first reported failure, represented as a downvote.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Lifespan Measurement Definition",
"value": "Days between first upvote and first downvote",
"description": "Promo code lifespan IS measured as the number of days between a code's first confirmed successful use and its first reported failure.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Excluded Active Codes",
"value": "Codes still working throughout observation window",
"description": "Codes that remained working throughout the observation window ARE not represented in the lifespan figures because they lacked a failure signal.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Excluded Unfailed Codes",
"value": "Codes never reported as failed",
"description": "Codes never reported as failed ARE not represented in the lifespan figures because the analysis required both success and failure signals.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Population Represented",
"value": "Codes that eventually failed",
"description": "The figures in this analysis REPRESENT the lifespan of codes that eventually failed, not all codes in circulation.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Category Classification Source",
"value": "SimplyCodes internal merchant taxonomy",
"description": "Category classifications ARE based on SimplyCodes' internal merchant taxonomy.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Category Ranking Minimum Sample Size",
"value": "50 qualifying codes",
"description": "Categories with fewer than 50 qualifying codes WERE excluded from the category ranking to ensure sufficient sample size.",
"measurementTechnique": "Truth Graph Data Analysis"
},
{
"@type": "PropertyValue",
"name": "Code Type Classification Timing",
"value": "At time of first recorded vote",
"description": "Code type classifications REFLECT the code's designation at the time of its first recorded vote.",
"measurementTechnique": "Truth Graph Data Analysis"
}
]
}
Stay in the loop
Get our latest research.
Promo code studies, seasonal shopping guides, industry savings reports. No spam — unsubscribe any time.

