# Arctic Shift Industry Playbooks Concrete plays for real businesses, with the communities named and sized. Every subscriber count here was measured on 2026-08-22 through the Arctic Shift API. Companion to `arctic-shift-starter-kit.md`. Read that first for the constraints. Source article: https://jwatte.com/blog/reddit-data-arctic-shift-for-business/ --- ## 0. The mistake that wastes the first afternoon **The community named after your industry is almost never the one your customers are in, and it is usually tiny.** Here is the measurement that makes the point. A car wash owner looking for their market would reasonably search for "carwash": | Subreddit | Subscribers | |---|---| | r/carwash | 2,535 | | **r/AutoDetailing** | **852,206** | That is a 336x difference, and the big one does not have "car wash" in the name. The same shape repeats in every trade I checked: | Industry | The name you would guess | Subs | The one people actually use | Subs | |---|---|---|---|---| | Car wash | r/carwash | 2,535 | r/AutoDetailing | 852,206 | | Laundromat | r/Laundromats | 4,910 | r/laundry | 81,052 | | Laundromat, operators | r/laundromat_industry | 344 | (there is no big one) | | | Self-storage | r/selfstorage | 4,870 | (there is no big one) | | | Plumbing | r/plumbers | 4,902 | r/Plumbing | 413,383 | | Restaurants | r/restaurants | 5,830 | r/restaurant | 164,227 | | Restaurants, operators | r/Restaurant_Managers | 10,669 | r/restaurantowners | 36,039 | | HVAC | r/HVACTechTalk | 1,688 | r/HVAC | 204,578 | | HVAC, customers | r/hvacengineers | 3,249 | r/hvacadvice | 147,694 | | Landscaping | r/LandscapingTips | 35,581 | r/landscaping | 1,078,387 | Two rules fall out of that table. **Rule one: the operator community and the customer community are different places, and you want both for different jobs.** r/hvacadvice is homeowners asking whether a quote is fair. r/HVAC is technicians talking to each other. The first tells you how you are being judged. The second tells you what your competitors are dealing with and what your next hire expects to be paid. **Rule two: check that the word means what you think.** Search "storage" and the top results are r/storage at 30,200 and r/StorageReview at 9,269, both of which are about computer hard drives. Self-storage as an industry has r/selfstorage at 4,870 and essentially nothing else. If you run storage units, most of what a keyword search returns is about solid state disks, and you would have burned an evening before noticing. Spend ten minutes on this step. Use the script in `find-your-subreddits.mjs` or the search interface, and write the list down before you query anything. --- ## 1. Laundromat **The honest situation.** There is no large laundromat community. r/Laundromats has 4,910 members and r/laundromat_industry has 344. What there is instead is r/laundry with 81,052 members, which is customers, and it is full of exactly the complaints that decide whether someone comes back to your store. **Question worth answering:** what makes people abandon a laundromat, in their own words? **How:** scoped search inside r/laundry and r/Laundromats for the failure vocabulary. Not "laundromat", which is everywhere, but the specific words: broken, out of order, quarters, card reader, dryer takes, attendant, sketchy, parking, hours. **What you do with it.** The answers cluster into a short list, and it is almost never price. Machines out of order with no sign on them, a card system that ate money with no way to get it back, and feeling unsafe at night are the three that recur. Every one of those is a fix you can make this month and put on a sign. **The operator play, separately.** r/laundromat_industry at 344 members is small enough to read end to end in an afternoon. That is not a data analysis exercise, it is a trade publication with no advertisers. Read all of it once. It is where equipment reliability and vend price changes get discussed honestly. **The limit to be honest about.** With communities this small, you are reading, not measuring. Do not compute a percentage from 340 people and present it as an industry finding. --- ## 2. Car wash and detailing **The honest situation.** This is the best-served vertical on the list, because r/AutoDetailing at 852,206 members is one of the larger trade-adjacent communities on the platform, and it contains both enthusiasts and working detailers. **Three questions it can answer:** 1. **What do people think a service is worth?** Pricing threads recur constantly and they are regional. Search inside the subreddit for your service names plus price vocabulary, and read what people report paying rather than what the industry association says they should. 2. **Which upsells have a bad reputation?** Ceramic coating, paint correction and interior shampoo all have strong opinions attached, and the reasons people feel burned are specific and repeatable. If your menu includes something the community treats as a scam, you want to know how they describe it, because that is the objection you are answering at the counter. 3. **What equipment fails.** Detailers discuss failures in a way suppliers do not. If you are about to spend on a machine, search the model name first. **The tunnel and express-wash angle.** Subscription pricing, brush damage claims and unlimited plans come up regularly in r/AutoDetailing and in local city subreddits. The local search is where a specific competitor's reputation lives. **What you do with it.** Rewrite the service menu in the customer's vocabulary, and price the two or three services where the community's expectation and your price are furthest apart. --- ## 3. Self-storage **The honest situation, and it is the hardest of the three.** r/selfstorage has 4,870 members and there is no large customer community. People do not join a subreddit about storage units. They mention storage units inside other conversations: moving, divorce, downsizing, a death in the family, a small business outgrowing a garage. **So the play is different: search the life event, not the industry.** Your customers appear in r/moving, in city subreddits, in r/smallbusiness at 1,939,492 members, and in the estate and declutter communities. The trigger is the event. Storage is the consequence. **Three things you can find:** 1. **The decision language.** How people describe choosing a facility. Overwhelmingly it is distance, gate hours, whether it is climate controlled, and whether they trust the place. The word "clean" carries more weight than the price does. 2. **The complaint pattern.** Rate increases after a teaser rate is the single most common grievance, and people describe it in remarkably consistent terms. If your pricing model does that, you already know what your reviews will say. 3. **Auction and lien threads**, which tell you how your industry looks from outside, and it is not flattering. Worth reading once if you write any customer-facing copy. **The B2B angle for a small operator.** r/smallbusiness is where a business owner asks where to put inventory. That is a customer with a longer tenancy than a residential renter, and the question is asked in public. **The limit.** You will not get a clean market-size number out of this. What you get is language and objection patterns, which is what a small operator actually needs for their site and their phone script. --- ## 4. The trades: HVAC, plumbing, electrical, landscaping The best-covered category, and the one where the customer and operator split matters most. | Community | Subscribers | What it is | |---|---|---| | r/hvacadvice | 147,694 | Homeowners asking whether a quote is fair | | r/HVAC | 204,578 | Technicians talking shop | | r/Plumbing | 413,383 | Mixed, leans professional | | r/PlumbingRepair | 20,831 | Homeowner problems | | r/landscaping | 1,078,387 | Very large, mixed | **The quote-check play.** r/hvacadvice is, functionally, a public second-opinion service on your industry's pricing. People post a quote and ask if it is reasonable. That is a continuously updated, geographically tagged record of what customers think a fair price is, and how they react to line items. Read a hundred of them and your estimate presentation will change. **The hiring play.** The technician communities discuss pay, working conditions and which employers are bad to work for. If you are trying to hire in a tight trade market, this is where the expectations you are competing against are set. **The objection-mining play.** Search your own service categories for the phrases that precede a "no". "Got three quotes", "wanted to charge me", "said I needed", "is this a scam". The last one is unpleasant reading and it is the most useful. --- ## 5. Restaurants and food service r/restaurantowners at 36,039 is one of the better operator communities anywhere on the platform, and r/restaurant at 164,227 is mixed customer and industry. **What to pull:** labour cost threads, delivery platform economics, POS and card processing complaints, and the recurring "should I close" posts, which are a genuinely useful leading indicator of what is squeezing operators in a given season. **The local play matters more here than anywhere.** A city subreddit is where a restaurant's reputation is actually formed, more than on any review platform, and it is searchable by name. That is also the single most sensitive use in this document, so see section 9. --- ## 6. E-commerce and product businesses Different shape: here you are looking for the product category, not the industry. * **Pre-purchase threads.** "Which X should I buy" is the highest-value query in this whole document for a product business, because it is customers stating their decision criteria unprompted and ranking your competitors for you. * **Failure threads.** Search your product category plus "broke", "returned", "warranty", "stopped working". This is your product roadmap, written by people who paid. * **The vocabulary gap.** Compare the words in those threads to the words on your product page. They are usually different, and the customer's words are the ones people search for. --- ## 7. Professional services Accountants, lawyers, agencies, consultants. r/smallbusiness at 1,939,492 members is the single richest source, because it is where people describe the moment they decided to hire someone. **The play:** find the trigger event, not the service. Nobody searches for a bookkeeper. They post that they are three months behind on their books and panicking. The trigger is the post. The service is what they need next, and if your marketing speaks to the trigger rather than the service you are ahead of everyone in your category. --- ## 8. Medium and larger organisations The plays change from "read the room" to "measure the room", and at that point you are working with the monthly dumps rather than the API. **Category share of voice over time.** Count mentions of your brand and each competitor across a defined set of subreddits, monthly, for two years. Do it from the dumps so the number is reproducible. This is the one genuinely quantitative play in the document, and it is worth doing properly or not at all. **Support deflection.** Cluster the questions asked about your product category and compare them against your help centre. The gap is your documentation backlog, ranked by real demand. **Launch monitoring.** The API is 34 seconds behind live. For a launch day, a scoped watch on five or six subreddits is genuinely useful, with the caveat that the API is best effort and you should not put it on a dashboard an executive is watching. **Recruitment intelligence.** Compensation and working-condition threads in professional subreddits are more candid than any salary survey, and they are timestamped. **Deletion and edit analysis.** From the 2023-11 dumps onward, `_meta.was_deleted_later` marks content that disappeared within 36 hours. For trust and safety, moderation research or crisis analysis, that field is the reason to use this dataset over any other. Read section 4 of the starter kit before you use it, because it is also the most ethically loaded field in the corpus. --- ### Running the larger plays without becoming the bottleneck Every play in this section is the same shape: ask one question of many communities, then decide which answers are real. That is a fan-out with a verification step, and past about six communities it stops fitting in one person's afternoon. Section 9 of `arctic-shift-query-cookbook.md` has four agent charters built for exactly this, with the dataset-specific rules already written in: never aggregate across a subreddit, never quote a username, every claim carries a retrievable id, and counts come from files rather than from the model's impression of the files. The reason to run it as a fleet rather than one long conversation is the verifier. Ask a model to summarise two thousand Reddit comments and it will hand you a clean set of themes that sound right. Some of them will not be in the data. The verifier exists to pull the cited ids back out of the raw file and check. The general operating model is at https://jwatte.com/blog/claude-code-agent-fleet-org-chart/ ## 9. The line you should not cross Everything above is aggregate. The moment a play targets one named person, stop. Specifically, do not do these, even though the data makes them easy: * Build a profile of an individual customer, applicant or employee from their posting history. * Screen job candidates by looking up their username. * Quote a named individual in marketing. * Use a post from a health, addiction, abuse, sexuality, immigration or financial-distress community for anything commercial at all, in any form, aggregate or not. * Republish text alongside the username that wrote it. The archive retains content people later deleted. That is documented, and it is what makes the dataset useful for moderation research. It also means that "it was public" is not a complete answer, because for some of this material it is not public any more and the person who wrote it took steps to make it so. A simple standing rule that keeps you on the right side of it: **quote a community, never a person, and if the finding only works because you identified an individual, you do not have a finding, you have a file on someone.** --- ## 10. Choosing a play: the two-question filter Before any of this, answer both: 1. **Is the question about a pattern or about a person?** Pattern, proceed. Person, stop. 2. **Does the answer change a decision I am actually going to make?** If you cannot name the decision, you are doing research as procrastination, which this dataset is extremely good at enabling. Three terabytes of other people's conversation is an excellent place to hide from your own pricing problem. --- Companion files at https://jwatte.com/downloads/ * `arctic-shift-starter-kit.md` * `arctic-shift-query-cookbook.md` * `find-your-subreddits.mjs` * `agent-fleet-playbook.md` : the operating model behind the research charters Written by J.A. Watte. https://jwatte.com