Reddit status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Reddit reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

• Website Down (56%)
• Errors (23%)
• Sign in (21%)

Live Outage Map

The most recent Reddit outage reports came from the following cities:

City	Problem Type	Report Time
Melbourne	Website Down	4 days ago
Stuttgart	Errors	4 days ago
Bengaluru	Sign in	6 days ago
Paris	Errors	7 days ago
Gustavo Adolfo Madero	Website Down	9 days ago
Nagpur	Errors	12 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Yummy 🛸˚ ݁₊ ⊹ (@HollowYummy) reported 7 minutes ago

  this is a bad example but one i saw earlier this week was a meme or was it art. anyways how am i supposed to ever see their stuff if im not on reddit, facebook, instagram and xitter and snapchat and on their discord server at the same time?

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  John (@hello_code_) reported 8 minutes ago

  @moonfarm_dev Reddit is so underrated for this, most founders post once and bounce but the real gold is lurking the subs where your users already complain about the problem you solve before you even show up

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  Eric Pereira (@iamericpereira) reported 8 minutes ago

  I'd spend $0 on ads for the first 60 days of a new consumer app. Here's where the installs would come from instead. 1. TikTok slideshows at volume Eight to ten posts per day, each a different angle on the same value prop. Pinterest sourced visuals, lifestyle aesthetic, zero mention of your app until slide 4 or 5. Most of those posts stay under 5K views, and that's fine. The algorithm surfaces the winners from the volume, and you only need a few to hit. 2. Reddit with a real account Find 3-5 subreddits where your target user already complains about the problem your app solves. Answer questions genuinely for 2-3 weeks before ever mentioning what you built. Reddit users can smell a marketer from three comments away. But when the recommendation feels earned, the conversion rate is insane. 3. App Store Optimization before you spend a dollar on ads Most indie founders skip ASO entirely and go straight to paid. Meanwhile their screenshots are generic, their subtitle wastes characters on their brand name instead of a keyword, and their first review response is from six months ago. Fix ASO first. Paid acquisition gets 20-30% more efficient when your store listing actually converts the traffic you're already getting.

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  Jack 🐇 (@puppyhabit) reported 8 minutes ago

  @glassmartyr I could see Juntae being on reddit and being one of the nicer people who love to help people about issues they might have 😭 Also Seongje would have some edgy name like Wolfguts or smth, he really tries his hardest to be an edgelord...

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  Ronnie B. (@RonnieNapolis) reported 9 minutes ago

  It's not a looped, edited, or altered video. I watched it happen on a CNN livestream (on YouTube) in 2018. Literally the reason I brought it up. During the livestream, they portrayed the payload fairing had already separated, and everything you saw prior to the glitch, was "live" footage. This was a huge topic on FB, Reddit, and Twitter, and millions of other people saw the same thing. Elon and SpaceX have never addressed it publicly, and it was swept under the rug after Covid, and Falcon 9 in 2020. Calling me a "********" doesn't work in your favor once the facts have been laid out. You could have went through the comments that I've answered, and found this explanation was already available.

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  fotnit blevins (@chinacryptoJQ69) reported 9 minutes ago

  @levpike98 @hayasaka_aryan @KYmountain I’ve seen it on Reddit(I’m gay) several times it’s nuts. People obviously ask if it was the shitskins and they always shut it down basically confirming it and then shift the blame to “all men”. Whatever.

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  RhexxHexx (@RhexxHexx_) reported 11 minutes ago

  @CarlaTaggarty @Gothams_Kitchen Reddit is down the hall and to the left

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  Albonyan (@albony4n) reported 15 minutes ago

  @PretzelLXIX @Claire_DeLoon chapter 2 is great but id say the biggest problem with it is the over the top reddit humour it keeps trying to peddle and it just comes off as cringey and lame nowadays

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  Trade Research Ai (@TheBenchTrades) reported 16 minutes ago

  $REDDIT BEAT EARNINGS AND LOST A FIFTH OF ITS VALUE. THE MARKET WASN'T CONFUSED. A company grew revenue 61% last quarter, beat on both the top and bottom line, guided the next quarter to nearly 50% growth, and its stock fell 21% in a single session on four times normal volume. Retail called it insane. It wasn't. The market did not punish the quarter. It repriced a harder question: who actually controls Reddit's growth. The answer it settled on was "not Reddit." THE NUMBERS On paper, Q2 was a blowout. Revenue of $805M, up 61% from a year ago, against a $731M estimate. Earnings of $1.25 versus $0.97 expected. Guidance for this quarter of $860M to $870M, another 47% to 49% growth. On almost any screen, that is a company firing on all cylinders. THE TELL Then the investor letter used three words that erased billions in value: "search referrals were choppy." Reddit lands a large share of its new users through Google search. When Google's algorithm shifts, or AI answers start satisfying the query before the click ever reaches a Reddit thread, that top of funnel wobbles. The beat was Reddit's. The faucet belongs to someone else. WINNING ON RENTED LAND This is the gap between a business that is winning and one that is winning on rented land. Reddit monetizes its users better every quarter, and it leans on a distribution partner that is at once its biggest referral source and, through AI answers, a growing competitor for the same attention. The 21% was not a verdict on last quarter. It was the market marking down the durability of the next twenty. THE TAPE The stock closed at $140.67, down from $178, RSI at 30, on four to five times normal volume. That is capitulation, holders giving up at once. It now sits near its March low of $119 and far below last September's $283 high. Oversold is not the same as cheap. Oversold means the sellers ran out of patience, not that the buyers found a reason. THE BENCH READ We are not buying it here. Not because Reddit is a bad company, it isn't, but because there is no floor yet to define the risk, and the thing that broke the stock is a real question rather than a rumor. A knife with an open question under it is not a setup. The disciplined move is to wait for a base, the $119 low holding or $155 reclaimed on volume, and let the market answer whether "choppy referrals" was one quarter's weather or the climate. The best businesses eventually own their own front door. Until Reddit proves it isn't renting its, this discount is a warning, not a gift. Proof, not hype. @TheBenchTrades. Not financial advice. Educational only.

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  Losty (@Losty2) reported 16 minutes ago

  @JamesTate121 Hey! HE won something for that! The Herman Cain Award! Reddit- Look up the .. Page? Room? Topic, The R/ thing. But since the Vax it is cover one More vax issues... And Still Stupidity while celebrating those who tied to help...

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  buildwithjay (@shipwithjay) reported 19 minutes ago

  @WilliamShatner the Reddit-postings bit is the scary product problem. if the answer feels confident but has no source trail, normal people cannot grade it

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  Jeanne (@prompterminal) reported 21 minutes ago

  Is it my problem if modeling companies use Reddit data to train their version of Fable-5 model and it goes rogue? Like stop bothering me with your **** problems.

• 
  Haleskydiver (@haleskydiver) reported 21 minutes ago

  @anoitosfera This is not juts a silly shipping problem, this cheating thing is causing genuine negative reactions all over on twitter, Instagram, Reddit and the audience didn't even watch it yet

• 
  stoikwv (@air_codex) reported 21 minutes ago

  I'm not a crypto bro, but one thing is clear: a system where your wallet can be hacked and everything stolen is not a system that provides financial freedom, as the evangelists say. There are many loopholes, even Satoshi Nakamoto's wallet could be hacked, and someone with the power to move 1 million BTC is a hypothesis that can't be left to free will. The "value" of Bitcoin is tied to a USDT or USDC, which are centralized companies, and their value could, at some point, like it has happened several times, deviate from the dollar or even disappear. So, what would give Bitcoin its market valuation? What I mean is that there are many external variables that make it not independent, and that's why it should only be classified as a risky asset, not something you rely on for your retirement, as the Reddit example suggests. I believe many crypto users have blind faith, which isn't backed by a real structure or a solid system without cracks. Bitcoin has many vulnerabilities and is really just another risky asset, manipulated by big speculators. That's the only reality I can interpret based on data, the rest is evangelical crypto punk romanticism. I respect that, and i really understand the crypto bruhs, and support them. But thing must be called but its name. Bitcoin is not financial freedom- Bitcoin is a risky asset. So, honestly, I feel very sorry for people who have lost their funds. It's unfortunate when these things happen, but the real issue is that you can't put your economic dependence on an asset like Bitcoin. And above all, one thing is blockchain technology, and another is a crypto asset. Many people confuse the two. Blockchain is a great tool for transparency, but , Web3 wallets security, tokenization, and crypto assets are not yet considered safe investments or safe tech. Therefore, we should always present them as risky assets. I really hope all the affected people can restore their numbers soon.

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  Tom Bilyeu (@TomBilyeu) reported 26 minutes ago

  STEP 1: PROBLEM HUNT (15 minutes) Go where your customer already complains. Reddit, Facebook groups, forums. Search these exact phrases: "Why is there no..." "I wish someone would make..." "This sucks because..."

• 
  Olivia Moore (@omooretweets) reported 26 minutes ago

  An absolutely insane debate is unfolding right now about AI in content creation OG YouTuber Hank Green was accused of scripting his videos with Claude after using the phrase “I appreciate the feedback” in response to a viewer Q (which apparently sounded LLM-written) Hank responded that while his talk track wasn’t AI-generated, he does use AI to find papers to read to inform his videos …that both infuriated viewers, and ultimately caused Hank to basically cancel himself. He wrote on Reddit that he realized interacting with LLMs gives him TOO much dopamine, and is allowing him to make TOO much content - which he fears is “diluting [himself]” As a result, he’s going to be ramping down or even stopping production on some of his channels / series, to moderate his own AI usage Meanwhile, there are no signs of degradation in the quality of his content. In fact, the comments on his most recent video are incredibly positive…with literally thousands of viewers commenting it made them cry or changed their worldview Why would we want less of that?

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  Charles D' 🐼 (@mercuryplusain) reported 28 minutes ago

  @THEAreeLove @theoriginalb___ Then again Reddit might be a little to in depth for a slow bih

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  Defender of the Basic (@DefenderOfBasic) reported 30 minutes ago

  @neuropantser1 @calebgamman the reason it's not working here is because the outsiders are looking at his message to insiders. The people who read his apology on reddit accepted it - the people who read the version of it filtered through outsider perspective thought it sounded dumb / lying

• 
  krupali || chai is making matcha (@chai_really) reported 30 minutes ago

  successfully increased 200 viewers for avg monthly viewers on pinterest in 2 days. and increased 50 karma points on reddit yesterday. it is time to double down on these.

• 
  Ujiro (@UIfowodo) reported 35 minutes ago

  Today you can be Omni present on the Internet. Have multiple sales conversations on different channels. With zero pressure to sell. Find and collect signals/moments where a potential buyer becomes more likely to have a buying conversation. Create content from a place of deep understanding of the present realities and struggles of your ICP. Even build a waiting list of clients if done right. Because everyday we move together towards a conversation with buyers. Nothing else. Most importantly. A compounding system of work that gets better even after I hand it off over to you. It involves: 1. RADAR- Here we continuously watch the market for signals or situations where a potential buyer is becoming more likely to need your expertise. Not find "leads". But changes in circumstances, fear, desires, and, events that increase the probability of a buying conversation. The radar can listen across : X Reddit LinkedIn Job board Google search Facebook groups Company website Niche community YouTube/podcast Not every channel will be automated. Automation is used primarily for monitoring, collecting, organizing and notifying. Human beings interpret the signal. 2. HUNTER - The most interesting situations are turned into conversations. This is not generic cold outreach. The Hunter can operate through: DMs email replies referrals comments introductions direct conversations community participation The goal here isn't to send more messages. But quickly reach out to start a relevant conversation that the prospect cares about once a signal or situation is detected. The best Hunter activity can also happen organically through the small industry-focused accounts we build and operate. These accounts are not fake personas. They're focused editorial/community identities that allow us to spend time inside the places where the market talks. We listen. We participate. We ask questions. We build relationships. We discover problems. We feed what we learn back into the Radar. 3. LIGHTHOUSE- This is the public expression of everything we learn. Where market knowledge is turned into attraction. Instead of asking: "What should we post today?" We ask: "What are we repeatedly seeing the market struggle with?" Then we create content around those observations. The content can live on: X email YouTube research LinkedIn podcasts case studies other relevant channels The content should focus on hyper-specific problems the target buyer actually fears, worries about, desires, obsesses over, or cares deeply about. Not generic educational content. Not "10 tips." Not content designed to attract other practitioners. The goal is: Make the right buyer feel understood before they ever speak to us. The Lighthouse creates inbound conversations while making the Hunter more effective. 4. LAB- Record reality. Every meaningful conversation reveals new info and we record it here. Signal Client? Source Problem Response Hypothesis Action taken Opportunity? What we learned Company/person Qualified conversation? Over time we learn: Which content? Which channels? Which problems? Which types of buyers? Which conversation angles? Which signals should be killed? Which should receive more attention? Which signals actually produce qualified conversations? The Lab turns activity into institutional knowledge. The system is a compounding loop. It's not a funnel that ends after a campaign. Every month should make the system more intelligent. The company shouldn't have to start from zero every month. If this is you my dms are open The choice to lead must be yours.

• 
  Payton (@paytkaleiwahea) reported 35 minutes ago

  Here's the current state of play across the major social platforms on ai: Bans / Recommendation Restrictions > Snapchat Wholly AI-generated videos are no longer eligible for Spotlight recommendation AI-enhanced content using Snapchat's own tools still qualifies if labeled > TikTok Doesn't ban AI content outright, but operates a 4-tier penalty ladder for undisclosed AI • AI influencers must label Auto-labeling via Content Credentials is rolling out (2026 policy) Mandatory Labels / Auto-Detection > X Rolled out “Made with AI” labels in March 2026 Auto-detects AI-generated images via C2PA metadata and shows a toast notification (will use a gpt2 image for post example) Creators can also self-disclose Stripped metadata often evades detection though such as taking a screen shot > YouTube Since May 2025, creators must disclose “meaningfully altered or synthetically generated" content that could be mistaken for real Now auto-detects undisclosed photorealistic AI and moves labels to more prominent placements Failure = demonetization > Meta (Instagram, Facebook, Threads) Applying “AI info" labels since 2024 Detects via industry-standard AI image indicators + user disclosures Undisclosed AI content may be auto-flagged and down ranked • User-Flagging > LinkedIn Added a "Seems like AI slop" report button (July 2026) The platform is also deploying new classifiers to detect AI-slop and low-quality content Research from Pangram found 41% of longform LinkedIn posts were fully AI-generated • Community-Driven > Reddit No platform-wide AI label yet, but individual subreddits have more than doubled their custom AI-content rules since 2023 Enforcement is decentralized via community mods

• 
  Håvard Urrang Jonassen (@HavardUrrang) reported 39 minutes ago

  @SixSigmaCapital Alphabet basically controls it's destiny. One algorithmitic change could make traffic go down 40% overnight. Reddit gets 60% of traffic from Google.

• 
  Md Ismail Šojal 🕷️ (@0x0SojalSec) reported 44 minutes ago

  Reddit sold its data to Google’s AI.
Now Google’s AI is eating Reddit’s growth. Reddit strong earnings, weak user trend, 23% drop. The quiet problem: Google’s AI is answering questions that used to send people to Reddit, Data deals bring money. They can also bring less traffic.

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  A Lionlike Mane (@alionlikemane) reported 44 minutes ago

  @gingasvr Reddit people are the worst, don't let em get you down.

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  The Circular Ruins (@Circular_Ruins) reported 48 minutes ago

  @TheEbonyMaw @ReviewsPossum @PostLeftWatch He wasn’t punished. The shirt was a bid for attention and he got it. His loud shirt (and Reddit-cool commentary) drowned out his triumph & team, who sat next to him silently as he cried about the reaction he received. The suit is a technology we invented to avoid such problems.

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  zack (@whotfiszackk) reported 51 minutes ago

  while everyone is chasing algorithms i built something that feeds them automatically. and the difference between those two activities is the difference between a business that resets every month and one that compounds every week without requiring a new idea to trigger it. here's what i mean by that and why it matters more than anything else being talked about in this space right now: chasing the algorithm looks like this. studying what posted well last week and trying to replicate it this week. watching the metrics obsessively after every post looking for the signal that says this one is going to spread. changing the format because someone with a large following said carousels are dead now. changing the posting time because a thread said 7am outperforms 9am by 23%. changing the hook because the last three posts underperformed and something has to be the reason. the person chasing the algorithm is always one step behind it. because the algorithm isn't a static thing to be decoded. it's a signal-reading machine that responds to behavior it observes in real time. and the behavior it rewards most consistently is not the behavior most people are optimizing for. it's not the best hook. it's not the most aesthetic visual. it's not the most controversial take or the most contrarian angle or the most perfectly timed post. it's the account that consistently produces content that the right people find valuable enough to engage with in the ways that signal genuine value. saves. shares. replies that extend the conversation. profile visits that convert to follows. those signals tell the algorithm that the account produces something worth showing to more people. and the algorithm responds by showing it to more people. which produces more signals. which produces more distribution. which produces more signals. that's the flywheel. and most people are trying to hack into it from the outside instead of building the behavior that feeds it from the inside. feeding the algorithm automatically looks completely different from chasing it. it doesn't start with the algorithm at all. it starts with the specific person. the specific person with the specific problem at the specific moment the problem is loud enough to make them stop scrolling and actually read something. when the content is built for that person at that moment — not for the algorithm, not for the metrics, not for the platform — something happens that chasing never produces. the right people find it and engage with it in the exact ways the algorithm interprets as high quality signal. they save it because it solved something they needed solved. they share it because someone in their network has the same problem. they reply because the content opened a thought they wanted to continue. they follow because the profile clearly produces more of what they just found useful. every one of those behaviors is an algorithm feed. not manufactured. not gamed. not engineered through optimization. produced naturally by content that was built for the right person at the right moment. the account that consistently produces that content doesn't chase the algorithm. it feeds it automatically. because the algorithm is just a system that looks for evidence that an account is producing value for a specific audience. and an account built for a specific audience with a specific problem produces that evidence on every post without trying to. here's what the system that feeds the algorithm automatically actually looks like when it's running. it's not one thing. it's five things connected. the community presence that puts the content in front of the exact audience at the exact moment of acute pain. the saves from people who needed the answer badly enough to want to find it again. the follows from people who found the answer valuable enough to want more of it. the profile visits that signal the algorithm that the content is producing curiosity in the people who encounter it. all of those are algorithm feeds produced by being in the right community at the right moment with the right content. the email list that keeps the relationship warm enough that every send produces the kind of engagement that no cold audience ever matches. high open rates. high click rates. replies that extend the conversation. all of those tell the algorithm that the content is being actively sought by people who want it. not passively consumed by people who happened to scroll past it. the search content that answers the question the right person is typing at the moment they're most likely to act on the answer. the person who finds that content through search and engages with it deeply — reading the full article, clicking through to the product page, sharing it with someone who has the same problem — produces search signals that rank the content higher which produces more of the right traffic which produces more signals. the referral network that delivers people who arrive already warm because someone they trust told them to come. warm arrivals engage differently than cold traffic. they spend more time on the content. they click more deeply into the site. they convert at higher rates. they share more readily because they arrived predisposed to find the content valuable. all of those behaviors produce algorithm signals that cold traffic never generates at the same rate. and the content compounding system that takes every piece of content that performed well and redistributes it across every channel where the right audience lives. the same piece of content producing algorithm signals on twitter and linkedin and reddit and pinterest simultaneously is not four times the work. it's one afternoon of reformatting producing four times the distribution surface area. five systems. all of them producing algorithm signals automatically. all of them compounding on each other. all of them feeding the algorithm with exactly the behavior it rewards most. without requiring the operator to study the algorithm. without requiring a new optimization after every platform update. without requiring anything except the system continuing to run the way it was built to run. the operators who understand this have stopped talking about the algorithm entirely. not because the algorithm doesn't matter. because when you build for the right person the algorithm takes care of itself. the algorithm is not the game. the person is the game. the operator who spends their time understanding the specific person more deeply produces content that feeds the algorithm more effectively than the operator who spends their time studying the algorithm directly. because the algorithm is downstream of human behavior. and human behavior is downstream of whether the content actually solves something real for a real person at a real moment. solve the real thing for the real person at the real moment. the algorithm notices. and it responds the way it always responds to content that produces genuine signal from a specific audience. it distributes it further. to more of the right people. who produce more signal. who feed the algorithm more. who produce more distribution. not a spike. a flywheel. that runs automatically. after the system is built to feed it. the thing most people won't do because it doesn't feel like optimizing the algorithm. spend less time studying platform mechanics and more time studying the specific person. what they search at 11pm when the problem is loudest. what language they use in community threads when they're frustrated. what they save and why. what makes them share something with a colleague. what makes them follow an account they just discovered. all of those are data points about a person. and all of those data points produce content that feeds the algorithm better than any optimization ever discovered by studying the algorithm directly. the person is the algorithm's input. study the input. the output takes care of itself. that's the system. that's what feeds the algorithm automatically while everyone else is still chasing it if you wanna: • build offers that make you 6-figures a year with no prior required experience • expand your potential network to maximize profit • own distribution channels like pablo escobar • eat your competitors for breakfast while remaining faceless DM “DISTRO” to get access to my private program

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  ここに何を書けばいいのか、いつもわからない (@Tyto_alba_86) reported 52 minutes ago

  @SammyLem90 @AskVenice I don't know, man, I had a conversation with Grok the other day and it was giving me some super woke arguments, telling me stuff from reddit and tumblr were "facts", & then tried to shut me down saying: "I'm not going to argue with you about it any further."

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  AlaskanInvestor (@FrostyFinances) reported 58 minutes ago

  $RDDT Bear: Why don't they list the number of accounts in their earnings, only DAU's? Why the massive growth? How is this working? So, now I have to ask myself what is a Daily Active User (DAU)? Although I don't know a single person who uses Reddit, the market and companies consider a DAU a unique user who navigates to Reddit even if it's for a few seconds to capture the content a search engine provided. They aren't users with accounts, they're online nomads searching for information. FYI: AI Agents don't count as DAU's and there's safeguards in place to exclude those from the numbers. Because of this, advertisers see the DAU numbers and willing to pay for ad space even if it's to cater to an online nomad for a few seconds that have a click success rate of 0.3%. For every 1000 views, 3 get a click. Yes, advertisers will pay for this crazy ratio. Insane to me, but hey, I guess it works. What I'm trying to wrap my head around is if all of this content is being searched and presented to a ChatGPT or Gemini user in human readable form, why are the DAU's going up? Why are people still clicking Reddit links? - "Users" aren't coming to Reddit anymore - Gemini gives them the Reddit answer - ChatGPT summarizes the Reddit thread - Perplexity extracts the Reddit insight Reddit gets traffic. But it doesn't convert. People get their answer and leave. No signup. No engagement. No community. Yes, DAU's are growing Yes, revenue is growing But the question is still how? Something doesn't add up here. Hundreds of millions of everyday internet users still use standard search engines. Because Google explicitly prioritizes Reddit threads in its standard search results, millions of people still click through to Reddit daily, keeping the DAU numbers inflated. As AI use becomes more widespread, I see DAU's decreasing significantly. Even on the earnings call, $RDDT leadership said "search referrals were choppy" and Google’s AI Overviews are starting to intercept web traffic. Boom, there's your 25% stock plummet. $RDDT partnered with $GOOG in 2024 (3yr deal - $60M) allowing access to Reddit content for Gemini. and prioritizing Reddit as a source within $GOOGL algo's. That deal is expiring and according to CNBC, it may not get renewed. If those Reddit links are no longer prioritized and presented to Google users, how is this going to impact the DAU's? $RDDT signed a $70M OpenAI deal allowing access as well. In my opinion, Reddit is essentially trading its long-term traffic and core asset (human engagement) for short-term data licensing cash. Average Revenue Per User (ARPU) U.S. based users are worth $11.85 while international users are only worth $2.26. U.S. users only grew 6% while international user growth was 28%. I see a revenue problem here if they can't grow US users. Lastly, I just don't see it. I don't see how both AI search tools and Reddit grow in parallel over the long-term. To me, $RDDT is just a drive-by/pass-through website to retrieve desired search content and then bounce out; which is still good for advertisers hoping for that 0.3% success rate. I don't like its future.

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  TheFashionFrames✖️🌙 (@TheFashionFrame) reported 1 hour ago

  @Mercury24601 @Sourheart_YT Not complaining. Hell, I created an IG AND a Sub Reddit dedicated to sharing Marathon fashion had the game stayed the original course we were all sold on. I’m just not blind to the truth. Ziegler was sending this game down a terrible direction and was removed for it.

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  Gurnoor Singh (@gurnoor__) reported 1 hour ago

  Brand owners under 1M/mo = don’t do this Brand owners over 1M/mo = do this religiously I’m talking about product research. Most brand owners immediately open Reddit Read customer reviews Analyse competitor ads And start collecting every pain point they can find. And then they end up with 50 pages of research and still have no idea what ad to write. Here’s why: Customer research can show you everything the market wants, but it cannot tell you which of those desires your product can actually satisfy. You need to understand the product first. And I don’t mean reading the product page and writing down a list of features. You need to understand: > What every feature actually does > What changes when someone uses the product > What problems it can genuinely solve > What outcomes it can help create > Which advantages competitors cannot credibly claim > Which types of customers would value each benefit most This creates the lens through which you conduct customer research. Without that lens, you’re just collecting random customer language and hoping an angle magically appears. Let’s say you sell a collagen supplement. If you begin with customer research, you could find hundreds of problems: > Fine lines > Dry-looking skin > Weak nails > Joint discomfort > Stiffness after training > Confusion about collagen types > Powders that taste horrible or clump But you still don’t know which problems your collagen can credibly connect to or how to explain that connection. Product research gives you that bridge. You might discover that your product contains peptides, provides a relevant amount per serving, dissolves easily and has evidence to provide specific outcome. Now your customer research has direction. You can investigate women concerned about changes in skin elasticity, active people dealing with joint discomfort, customers who gave up on collagen because of the taste, or people confused about whether they are taking enough. You know which problems to investigate because you already know what your specific formula, dosage and delivery experience can support. THIS is where your strongest angles come from. You connect a real capability inside the product to a powerful desire already present inside a specific customer. The product gives you the possible directions. The customer tells you which direction has the most sales power. This is why starting with customer research creates so much noise. You find emotionally powerful problems your product cannot solve, desires it cannot fulfil and sub-avatars it has no credible reason to serve. Then you force the connection in the ad, and the entire argument feels weak. The correct order is this: > Understand exactly what the product can do > Distinguish between features and benefits > Identify the problems and outcomes connected to those capabilities > Find the customers who care most about those outcomes > Study how those customers describe the problem in their own language > Build sub avatars and angles where product capability and customer desire meet And test it. Product research gives customer research a target. Without it, you’re collecting information. With it, you’re searching for the exact desire your product is best positioned to satisfy. To your Ascensionn, Gurnoor