Everyone has an opinion about how hard it is to buy limited products at retail. Some say bots have ruined everything. Others claim it has never been easier. We wanted to move past anecdotes, so we surveyed 2,400 active restockers and cross-referenced their self-reported results with publicly available drop data from Q4 2025 and Q1 2026. The results reveal a more nuanced picture than most people expect.
Methodology
Before diving into the numbers, here is how we collected and verified the data. We distributed an anonymous survey across 18 Discord restock communities and three subreddits in January and February 2026. Respondents reported their success rates across different product categories, the methods they used, and which retailers they targeted. We filtered out incomplete responses and obvious outliers, leaving us with 2,412 usable responses.
We also tracked 1,847 individual restock events across major retailers during the same period, recording stock duration (how long items stayed available), product category, and retailer. Combining survey data with observed drop data gives us both the subjective and objective picture.
Overall Success Rates by Product Category
Not all restocks are created equal. Your odds vary dramatically depending on what you are trying to buy.
| Product Category | Avg. Success Rate | Median Attempts Before First W | Stock Duration |
|---|---|---|---|
| General Release Sneakers | 82% | 1 | 4-24 hours |
| Mid-Hype Sneakers | 38% | 3 | 2-15 minutes |
| High-Hype Sneakers (Jordans, Dunks) | 14% | 8 | Under 60 seconds |
| GPUs (RTX 5080, RX 9070) | 29% | 5 | 1-5 minutes |
| Gaming Consoles (PS5 Pro, Switch 2) | 34% | 4 | 2-10 minutes |
| LEGO Limited Sets | 45% | 2 | 10-30 minutes |
| Trading Cards (Pokemon, Sports) | 52% | 2 | 15-60 minutes |
| Limited Collectibles (Funko, etc.) | 61% | 1 | 30 min - 2 hours |
The biggest takeaway: general releases are very accessible, while high-hype sneaker restocks remain brutally competitive. If you are new to restocking, starting with mid-tier products and working your way up is the smartest move. Our beginner’s guide covers this approach in detail.
What Affects Your Odds the Most
We asked respondents to rank the factors they believe contribute most to their success. Then we correlated those responses with their actual success rates to see which factors genuinely matter versus which are just perceived to matter.
Factors That Actually Correlate With Higher Success Rates
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Multiple alert sources — Respondents using three or more alert sources (Discord, Twitter, retailer apps) had a 41% higher success rate than those using just one. Speed is the single biggest factor in FCFS drops, and redundant alerts ensure you never miss the notification. See our guide on Discord servers for restock alerts for the best options.
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Pre-saved payment and address — This seems obvious, but 23% of respondents admitted they still manually type checkout information. Those with fully saved profiles across all retailers reported a 28% higher success rate.
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Using mobile apps over desktop — For retailer-specific drops, app users outperformed desktop users by 18%. Retailer apps like Best Buy, Target, and Nike SNKRS tend to load faster and push notifications sooner. Our restock apps guide ranks the best ones.
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Knowing retailer-specific timing patterns — Respondents who could correctly identify their target retailer’s typical restock day and time window had a 35% higher success rate. This is pure preparation. Our retail restock patterns analysis breaks down the data.
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Account age and purchase history — On platforms like Nike SNKRS and Adidas Confirmed, accounts with longer histories and legitimate purchase records report better results in raffle-based drops. This is not coincidental; both platforms have confirmed that account standing can influence draw weighting.
Factors That Do Not Correlate With Higher Success Rates
- Internet connection speed — Once you are above 25 Mbps, there is no statistically significant difference. The bottleneck is never your bandwidth; it is server-side processing.
- Number of monitors/screens — Having three monitors does not help if you are watching the same three retailer pages. It is a time allocation problem, not a screen real estate problem.
- Staying up for overnight drops — Only 3% of restocks in our dataset happened between midnight and 6 AM EST. Sleep deprivation hurts your reaction time more than the occasional overnight drop justifies.
Manual vs Bot Success Rates
This is the question everyone asks: do bots actually win? The answer is yes, but with significant caveats.
| Method | Avg. Success Rate (High-Hype) | Avg. Success Rate (Mid-Hype) | Risk Level |
|---|---|---|---|
| Manual (no tools) | 8% | 29% | None |
| Manual + alerts + auto-fill | 16% | 42% | None |
| Browser extension bots | 24% | 55% | Low-Medium |
| Dedicated bot software | 38% | 68% | High |
A few important notes on this data:
Manual users are not helpless. A well-prepared manual user with fast alerts and saved payment info reaches a 16% success rate on high-hype drops. That is not great, but it means roughly one win per six attempts. For mid-hype products, manual users with proper setup hit 42%, which is very workable.
Bot users pay a hidden cost. The “success rate” for bots does not account for the cost of the bot itself ($50-$300+ per month for premium software), proxies ($20-$100/month), and the risk of bans. When you factor in these costs, a bot user spending $150/month on tools needs to successfully purchase and either use or resell at least $150 worth of profit just to break even.
Retailer countermeasures are improving. Our data shows bot success rates declining roughly 8% year-over-year since 2024, while manual success rates have remained stable. Retailers like Best Buy, Nike, and Target have invested heavily in bot detection. The state of scalpers vs retail in 2026 covers the anti-bot landscape in detail.
Raffle systems neutralize bots. On draw-based platforms like Adidas Confirmed and Nike SNKRS LEO draws, bots provide almost no advantage because selection is randomized. If you are consistently losing on these platforms, it is not because of bots; it is simply low odds.
Retailer Fairness Ranking
We combined stock duration data, bot detection effectiveness, and user-reported satisfaction to create a fairness ranking for major retailers.
| Rank | Retailer | Fairness Score (1-10) | System Type | Notes |
|---|---|---|---|---|
| 1 | PlayStation Direct | 8.7 | Queue + PS Plus priority | Randomized queue, hard to bot |
| 2 | Nike SNKRS | 7.9 | LEO Draw / FCFS hybrid | Draw system is fair; FCFS drops less so |
| 3 | Adidas Confirmed | 7.5 | Raffle with tier weighting | Fair but tier system favors big spenders |
| 4 | Best Buy | 7.1 | FCFS with bot detection | Improved CAPTCHA and verification in 2026 |
| 5 | Target | 6.8 | FCFS online + in-store | In-store drops are very fair; online less so |
| 6 | Walmart | 6.2 | FCFS with Walmart+ priority | Paywalled early access is controversial |
| 7 | Amazon | 5.4 | FCFS + invite-based | Inconsistent; invite system helps but is opaque |
| 8 | Foot Locker | 4.8 | FCFS | Minimal bot protection, very fast sellouts |
| 9 | Shopify stores | 4.1 | FCFS | Widely botted, minimal protections |
Queue and raffle systems consistently rank higher because they reduce the advantage of pure speed, which is where bots excel. If you are frustrated with your success rate, prioritize retailers higher on this list. Our Target restock strategy guide and Amazon restock hacks guide offer retailer-specific approaches.
Success Rate by Experience Level
Experience matters more than most people think. We segmented respondents by how long they have been actively restocking.
| Experience Level | Avg. Success Rate (All Categories) |
|---|---|
| Under 3 months | 22% |
| 3-6 months | 31% |
| 6-12 months | 39% |
| 1-2 years | 44% |
| 2+ years | 51% |
The jump from beginner to intermediate (under 3 months vs 6-12 months) is dramatic: a 77% improvement. This is because most of the skill in restocking is preparation and knowledge, not reaction speed. Knowing which retailers to watch, when to expect drops, and having your accounts fully optimized accounts for most of the improvement.
After the 1-year mark, gains flatten. The difference between someone with 1 year and 3 years of experience is minimal. Once you have mastered the fundamentals, additional experience yields diminishing returns.
How to Improve Your Personal Success Rate
Based on the data, here are the highest-impact actions you can take, ranked by how much they improve your odds:
Tier 1: High Impact (Do These First)
- Set up at least three alert sources. Discord, Twitter, and one retailer app minimum. Redundancy is the single strongest predictor of success.
- Save payment and shipping information on every retailer site you target. Use autofill tools and checkout extensions to cut your checkout time.
- Learn the restock timing patterns for your target product. Study our retail restock patterns guide and note which days and hours your target retailers typically drop.
Tier 2: Medium Impact (Do These Next)
- Build account standing on raffle platforms. Engage with Nike SNKRS and Adidas Confirmed regularly, even on releases you do not care about. Activity history influences draw odds.
- Target multiple retailers simultaneously. Do not put all your effort into one retailer. Spread your attempts across 3-4 retailers per product.
- Switch to mobile apps for FCFS drops. Apps consistently outperform desktop browsers for speed.
Tier 3: Lower Impact (Nice to Have)
- Use browser monitoring extensions like Distill.io. These supplement Discord alerts for products that are not widely tracked.
- Follow restock calendars. Knowing what is coming lets you prepare rather than react. Our sneaker restock calendar is a good starting point.
- Track your own results. Keep a simple spreadsheet of attempts, wins, losses, retailer, and time. Your personal data will reveal patterns specific to your setup.
Regional Differences
Our survey data also reveals that success rates vary by region.
| Region | Avg. Success Rate | Key Factor |
|---|---|---|
| Northeast US | 36% | High population density increases competition |
| Southeast US | 41% | Moderate competition, good in-store options |
| Midwest US | 44% | Lower competition, fewer bots |
| West Coast US | 33% | Tech-savvy population, high bot usage |
| Mountain/Plains | 47% | Lowest competition, but fewer in-store options |
Interestingly, areas with higher tech adoption tend to have lower success rates, likely because more people are using automated tools and there are more competing buyers per available unit. If you live in a competitive metro area, in-store pickups at retailers like Target and Best Buy become significantly more valuable because they are not affected by bot competition.
What the Trends Tell Us About 2026
Looking at year-over-year data, three major trends emerge:
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Raffle-based systems are expanding. More retailers are moving away from pure FCFS. This is good news for manual buyers and bad news for bot operators. Expect this trend to continue through 2026 and 2027.
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Stock levels are generally increasing. Brands have learned that extreme scarcity hurts brand loyalty. Nike, LEGO, and Sony have all increased production runs compared to 2024. Higher stock means higher success rates for everyone.
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The “middle tier” is getting easier. While ultra-limited products remain brutal, the mid-hype category has seen success rates climb 12% year-over-year. If you are targeting products that are popular but not insanely hyped, 2026 is a good time to be restocking.
FAQ
What is a good restock success rate?
For high-hype products, anything above 15% is considered above average for manual buyers. For mid-hype products, you should aim for 35-50%. For general releases, if you are below 70%, something in your setup needs improvement. Experience, preparation, and alert speed are the three biggest factors determining your success rate.
Do restock bots actually work in 2026?
Bots still provide an advantage, particularly on FCFS drops at retailers with weaker bot protection. However, their effectiveness has declined roughly 8% year-over-year as retailers improve their countermeasures. On raffle-based platforms like Nike SNKRS and Adidas Confirmed, bots provide little to no advantage. The cost of running bots ($100-$400/month) also means you need consistent wins just to break even.
Which retailer gives you the best chance of getting a restock?
PlayStation Direct ranks highest in our fairness analysis with an 8.7 out of 10 score, thanks to its randomized queue system that is difficult to bot. Nike SNKRS and Adidas Confirmed also score well due to their raffle systems. For FCFS drops, Best Buy has the best bot detection among major retailers. The worst options for manual buyers are small Shopify stores and Foot Locker, which have minimal bot protection.
How long does it take to get good at restocking?
Our data shows the biggest improvement happens in the first 3-6 months. Beginners average a 22% success rate, while those with 6-12 months of experience average 39%, representing a 77% improvement. After about one year, gains level off significantly. The learning curve is mostly about preparation, knowing retailer patterns, and optimizing your alert and checkout setup rather than developing faster reflexes.
Does location affect restock success rates?
Yes. Our survey data shows a meaningful difference between regions. Respondents in the Mountain and Plains states reported a 47% average success rate, while West Coast respondents averaged 33%. Higher population density and greater tech adoption both correlate with lower success rates due to increased competition and more bot usage. Living in a competitive area makes in-store pickup strategies more valuable.
