Amazon status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon 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 Amazon users through our website.

• Website Down (45%)
• Errors (32%)
• Sign in (23%)

Live Outage Map

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

City	Problem Type	Report Time
Ahmedabad	Sign in	52 minutes ago
Châtellerault	Sign in	1 hour ago
Cherbourg-Octeville	Sign in	6 hours ago
Penzberg	Sign in	7 hours ago
Seattle	Errors	1 day ago
Wiesbaden	Errors	2 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.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Jeff (@JeffSendsIt) reported 4 minutes ago

  Last week I posted about how my Account Health was 1,000 and first time in a long time we had 0 inauthentics and 0 IP complaints and clearing issues had been relatively easy. So of course, Monday evening I get a brand review and Tuesday get another brand go restricted for us. Both initial submissions have been rejected. Combined the brands make around $350k of inventory with one completely stranded and other will be stranded in 5 days. Can't send either brand into Amazon yet. I'm confident I'll resolve both issues, but always a pain when dealing with these. Hopefully no more surprises today!

• 
  DarkChrisTopher (@DarkChrisBurner) reported 6 minutes ago

  @AC34480 @4thOfJuly365 Most of Ohio’s existing data centers, roughly 100 to 160 operating sites depending on the source, still take electricity from the shared PJM grid through utilities such as AEP Ohio. Dedicated on site generation was almost nonexistent before 2025. After House Bill 15, the Ohio Power Siting Board permitted more than 2 GW of behind the meter gas turbine and battery projects and had another 2.5 GW pending by mid 2026. Trackers list a reported Ohio pipeline of about 14 GW of this kind of generation, mostly at a few large new campuses such as Meta’s New Albany Socrates fleet, EdgeConneX sites, some Amazon fuel cell projects, and the proposed 9 to 10 GW Piketon campus. A small share of facilities by number, but a large and growing share of new megawatts, now plan to make their own power instead of drawing it from the public grid. When centers stay on the grid the main problems are reliability and cost. Data center load is the biggest driver of new demand in PJM. The regional operator has already missed capacity targets, and data centers have been tied to a large part of recent capacity price spikes that show up on household bills. During heat waves or cold snaps the extra load can push the system toward curtailments or rolling outages. Transmission and distribution upgrades needed to serve that load are also spread across ratepayers unless special tariffs keep the costs separate. Water use is another issue. Many grid connected centers still use evaporative cooling that can take hundreds of millions of gallons a year at a large site.

• 
  Amin (@eCom_Amin) reported 7 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads: (actually run them all rn, don't just bookmark) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

• 
  mitrebox (@mitrebox) reported 11 minutes ago

  Various economic conditions, regulation, debt has broken up American companies into mostly sector bases. Amazon kind of an exception. In Asia, however there is little trust and the courts are slow. If you can't trust the system you need to grow, you become the system.

• 
  𝙹𝙱 (@KOTULCN) reported 13 minutes ago

  @ScullySherSpock @HailMaryLogs There has been differing interpretations of what was said. Amazon is likely waiting out until sales of the dvd release die down and then release the 4 hour directors cut…got milk that consumer money.

• 
  Quan S. (@Quandalyn) reported 13 minutes ago

  @AmazonHelp Not true! A generic email generated by Amazon is not fixing the issue! There is no way to reach this department, which is problematic AF!

• 
  Devendra Agarwal (@devendra0202) reported 14 minutes ago

  @amazonIN @amazon @AmazonHelp website was fake. With my previous experience, I can say that they never deliver items in such cases. Amazon system does not support customer in such cases. There was a time, when Amazon cared for customers, but not any more. This time, I will escalate this issue, will (3/4)

• 
  Fine Grain Solutions (@fine_grain_sol) reported 15 minutes ago

  @i2cjak You can get large kits of metric or imperial machine screws/inserts on Amazon. I use them for prototyping but they are bad quality generally so I order specific hardware in bulk once I have sizes nailed down. Really only need to stock a couple sizes for PCB stuff anyway

• 
  Dattatraya Deshpande (@dattatraya_d) reported 19 minutes ago

  @AmazonHelp Accept you don't! I wasted 30 min on chat with your associate, so you should have all the info you need. When I asked for ref no. for issue, I was told that my order id is the ref no. I've already shared the order id on day1 itself. Alas, you haven't read all my messages yet!

• 
  Amin (@eCom_Amin) reported 20 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research skills jumped from 24.7% to 52.6% so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

• 
  FxScaler (@FxScaler) reported 21 minutes ago

  I sell mostly to Americans and I'm European. The distance teaches you things people inside can't see. Americans buy at 11pm from an ad they saw 8 seconds ago. The order is in before the video ends. No European buyer does this. A German needs 40 reviews and a week of thinking; an American needs the checkout to load fast enough to beat the impulse fading. Returns are a lifestyle, priced in like weather. An American orders three sizes, keeps one, and feels nothing. First month selling US clothing, our return rate made me think something was broken. The volume made up for it before I finished worrying. Reviews work backwards from Europe. Europeans read the 1-star reviews to find the catch. Americans read the 5-star reviews to get hyped for what they already decided to buy. Social proof sells the dream over there; in Europe it survives an audit. Shipping speed is identity. A Swiss buyer tolerates 8 days if you're honest about it. An American at day 5 opens a dispute, because Amazon trained an entire nation that waiting is an insult. And the one nobody believes until they sell there: Americans WANT to be sold to. A hard pitch that would make a Scandinavian close the tab makes an American pull out the card. Selling is a service over there. It's a crime over here. Wrote about the European versions of this a month ago. Same products, same photos, entire different species of buyer. The operators losing money in the US are running European instincts on American demand.

• 
  Nicolai Schmid ✌️♥️ (@NicolaiSchmid) reported 21 minutes ago

  @GergelyOrosz google has never had scheduled downtime, neither facebook, nor amazon, netflix, or any other service the problem with the old banks is that they run on ibm-z and other archaic systems that works completely differently than our modern stacks. of course the webapps shouldn’t need any downtime

• 
  Greg (@BristolPistolSr) reported 22 minutes ago

  We can be friends. Don't be so hostile. "My" drone is not "pervy;" It's highly efficient. You get your meal faster (if you don't live too far away), and no one has to drive all the way to your location (wasting their labor and the money required to pay them plus significant quantities of gasoline). A warm baked potato is far superior to a cold one. The current system for Amazon item delivery is very slow and highly polluting in that a 2-ton car or 3-ton truck must be driven around to deliver someone's 3 ounce T-shirt from Amazon. BTW, I hardly ever eat at McDonalds. China's occasionally wise parliament has determined that both drone technology and drone delivery make sense as priorities for their country. There are many things I don't like about about China (like their rapidly growing military drone FLEETS, hello?) - But placing emphasis on drones has been a big winner for them. We are rapidly falling behind a government that is far more efficient than ours in key ways. Their energy output already exceeds ours by a coefficient of 3 as I recall. That will rapidly lead to a much larger economy. We fill our parliament (Congress) with lawyers and liars. China has filled theirs with engineers. Also, my home is paid for. So is my car.

• 
  Murtuza Raipurwala (@MurtuzaRaipur) reported 24 minutes ago

  @AmazonHelp Daily giving same reason to connect with someone on chat or call is not solving anything on 31st August a return was again created and today is 2nd September nobody came for pickup again now are you really helping me solve this issue or not?

• 
  Harry Tandy (@HarryTandy) reported 26 minutes ago

  @Shruti_0810 The company case studies are the strongest part Learning how Amazon or Discord actually solved scaling problems beats reading generic theory

• 
  Ryan Howard (@RWHWoodworking) reported 29 minutes ago

  @yo_neighbor @glennbeck We dont have antitrust laws in the USA. If we did Amazon wouldve been broken apart 10 years ago.

• 
  Amin (@eCom_Amin) reported 32 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

• 
  Energy Max (@ryanTesling) reported 32 minutes ago

  There are always reasons not to buy a stock. Narrative follows price. Investing is a game of probabilities. Amazon is being sued by the FTC, yields are through the roof and nobody cares about the stock. “Technology laggard” AI has not slowed down and we still need GPU. Yes, FCF is (currently) negative but that will pass that too. Can sentiment be worse? I don’t think so. Long $AMZN

• 
  28 Rico Lupe (@gyjr23) reported 34 minutes ago

  @Mmmmissperfect @SaycheeseDGTL So many people pay thousands of dollars just because the camera had so many errors of telling the police this car is stolen but it was never really stolen and also blamed a woman for stealing a Amazon package when she wasn't even in that neighborhood but her car was in the area

• 
  Jay Dinero (@JayDinero2023) reported 35 minutes ago

  @_thickitalian Resend your Amazon list. For some reason it was not working

• 
  shivam maurya (@shivamm57995718) reported 35 minutes ago

  @AmazonHelp Your team is saying they have investigated but there are no issue so but I have received damaged product kindly refund the money

• 
  dominic j eidson (@deidson) reported 36 minutes ago

  And ironically, a few weeks later I am stuck in VRU hell because @fedex refuses to give me a human who can explain why my package was refused delivery on grounds of nobody being home when I've been stuck home for 3 weeks with a broken leg. his is why you will lose to @amazon

• 
  Shveta (@TrustScore_1) reported 41 minutes ago

  3,300 people at Uber woke up today with a job and went to bed without one. Most of them did nothing wrong. That's the part nobody says. They hit their numbers. They got good reviews. They were just sitting on the wrong side of a spreadsheet. Oracle: 25,000+. Amazon: 16,000. 123,305 tech jobs gone in 2026 already, more than all of last year. And the number that keeps me up: US new-grad unemployment is 5.7%. Higher than the general workforce. For the first time in decades, the degree made things worse. India is the same story in a different accent. TCS cut 23,000 in one year. Net IT hiring fell from 600,000 in FY22 to 140,000 in FY26. Entry-level openings down 44%. A 22 yr old in Bengaluru did everything her parents told her to do. Coaching. Ranks. CS degree. Placement week came and went. Here is the sentence that explains all of it: Indian IT revenue grew 6.1% last year. Headcount grew 2.3%. For 30 years the business was people × hours × rate. That equation just broke. Broken equations do not re-link. If your work is testing, L1 support, documentation, ticket triage, boilerplate code, or managing six people who do that, this is not a bad quarter. This is a deletion. I'm not going to soften that. But don't stop reading here, because the other half is real too: AI/ML postings up 163%, then another 74%. AI Engineer is now the fastest-growing job title in America. AI skills pay a 62% premium. India's GCCs will add 4.25 lakh jobs this year. Nomura counted 83,100 AI hires in India against 31,921 losses. The jobs didn't die. They moved. And nobody sent you the forwarding address. So here it is: The next 24 months hire for AI and agent engineers, evals and red-teaming, MLOps and inference cost, data and context engineering, AI governance and audit, forward-deployed engineers, security for agentic systems, and domain experts who can direct a model instead of competing with one. Two tracks exist now. Build the AI. Or use it to do 10x your old job. There is no third track. The third track is the list. The cruelest line in the Nomura report: displaced workers rarely become AI hires. The hiring is real. It just doesn't go to the same people. Unless you make it.

• 
  Michael Rucker (@wmrucker) reported 45 minutes ago

  @amazoncareers @amazon You have a real problem when a candidate for a job can’t get or receive emails from talent acquisition but can receive emails from shopping and careers (applications received/changed)

• 
  Cody "CheesyGrunt" Mackall (@cody_mackall) reported 45 minutes ago

  I wrote the whole story down. It's called I'm Fine, out now on Amazon.

• 
  shako (@shakoistsLog) reported 45 minutes ago

  @mean_field_zane lmao. also funny fact i literally worked on that problem. well amazon product pricing. it needs RL, obviously.

• 
  Margaret (@Margaretofg) reported 49 minutes ago

  Margaret in Manhattan is Book Thirteen in the Margaret of Greenwich® Young Adult series by R. L. Rhyse. Returning home pregnant wasn’t what Margaret had expected after her study in Berlin. Nor could she have foreseen the startling family news that awaited her. Yet these events lose importance as a far greater issue arises: a looming attack on the United States, to murder an entire generation of its Army officers. Download chapters at Amazon or other online seller.

• 
  Pietro Mappers (of Success Mappers) (@SUCCESSMAPPERS) reported 50 minutes ago

  Scaling an Amazon listing before optimizing it leads straight to the "Death Spiral" of high spend and zero profit. Never send PPC traffic to a leaky bucket. Fix your CTR and CVR first, then turn on the traffic. #AmazonFBA #Ecom

• 
  Aagam Shah (@AagamShah_44) reported 51 minutes ago

  @Muppetiers Sacked half the workforce, reduced wage bill, CL revenue, record sponsorship deals, record revenues, depth reduced in the squad, Amazon documentary money, and you keep lapping all the PR up. Don't forget to breathe while you're down there on the rat ownership

• 
  CoreTrex | Amazon & Walmart Growth Partner (@growcoretrex) reported 1 hour ago

  Most Amazon brands don't have an advertising problem. They have a merchandising problem wearing an ads costume. You keep raising bids on a PDP that cannot convert. ACoS gets worse. So you raise bids again. Meanwhile the image stack is soft, the title is stuffed, the bullets sell features nobody searched for, and the price is fighting a better offer on the same page. Ads amplify whatever the listing already is. If the listing is broken, ads just make the breakage more expensive. Fix the offer. Then buy traffic.