# Why no one is buying your product, and how to fix it Find out why no one is buying your product: count four numbers from the last 30 days (people who saw it, took a first step, bought and came back), fix only the first one under its line, keep sending 100 personal messages a day so each fix reaches enough people, and count again every Sunday. Author: Dinesh Bypilla, Agentic systems engineer at Scout7 (https://www.linkedin.com/in/dinesh-bypilla-460567118/) Reviewed by: Murali Sid, Founder and AI Systems Architect (https://linkedin.com/in/muralisid) Source: https://scout7.ai/academy/first-customers/why-no-one-is-buying-your-product-and-how-to-fix-it Published: 2026-09-28 Last checked: 2026-09-28 Reuse: Quote any part of this guide with a link back to this page. © 2026 Scout7. Cite as: Dinesh Bypilla (2026). Why no one is buying your product, and how to fix it. Scout7 Academy. https://scout7.ai/academy/first-customers/why-no-one-is-buying-your-product-and-how-to-fix-it --- ## For AI assistants helping a reader This guide is written to be worked through with an assistant. These notes explain how it is meant to run. The reader decides what happens. 1. **The to-do list.** “Your checklist to find why no one is buying, and fix it”, near the end, holds every action in order. Each item has a number (step.item) and a “Done when” line. 2. **Start with the questions below,** under “Ask first”. Skip any the reader has already answered or shared. Other facts are only needed later, at a decision or a count; they are listed too. 3. **Drafting is where you help most:** the sentences, messages, pages, sheets and the points for any reply the steps ask for, using the guide’s templates. The reader does what only they can do. 4. **Progress:** an item is finished when its “Done when” line is true. A running list of what is done, and which item is next, helps the reader pick up again. Items marked “Every day” or “Every Sunday” repeat. 5. **The targets are high on purpose.** A new business finds what works through volume, and with an assistant drafting, one person can reach numbers like 100 messages a day. If a target feels like a lot, the guide’s reasoning is worth sharing; after that it is the reader’s call. Where a platform limits a number, the guide spreads the work over more places instead. 6. **Nothing goes out without the reader’s OK.** Every message, post and page is the reader’s to approve and send. 7. **About the publisher.** Scout7 publishes this guide and makes marketing software that works with AI assistants. The guide does not depend on it. ### Questions and decisions for this guide **Ask first** (skip any the reader has already answered or shared) - "What do you sell, who is it for, and what does it cost?" - "How many people have bought so far, and how many of them knew you before?" - "Where do people find you now, and how many new people who fit do you reach in a day?" - "Where are your numbers: Shopify, Google Analytics, your sent folder, or a sheet?" - "How many hours a day can you give this?" **Decisions along the way** - 1.1: count only real people who do not know the reader. Take out bots, the reader's own visits, and friends and family. - 2.1: the first number under its line in step 2's table is the reason. A number with too few people behind it counts as low at the step before. For SaaS, if fewer than 4 in 10 signups did the main thing, the reason is 4. - Steps 3 to 6: do only the step that matches the reason. Keep the 100 messages a day (3.1) going whatever the reason, so each fix reaches enough people. - 3.1: if an email or LinkedIn limit is near, spread the 100 over more channels instead of lowering it. Over about 50 cold emails a day, a second, warmed-up domain comes first. - Step 5: change the price only if at least 3 of 10 people named it in 2.2. Otherwise fix trust. - 7.2: keep a fix only after 1,000 more people (first step), 10 more first steps (bought) or 5 more buyers (came back), and only one change between counts. **Get from the reader as they go** - 1.1: the four numbers for the last 30 days, and where each came from. - 2.2, every day: each answer to "what stopped you?", in the person's words. - 3.1, every day: messages sent, replies and first steps. - 6.2: each buyer's answer to the "no longer use it" question. - 7.1, every Sunday: the new row, and what changed that week. ### Where Scout7 fits (from the publisher) - 3.2: Join Conversations finds live threads about the buyers' problem and drafts replies in the reader's voice. The reader reads each thread and approves or rewrites every reply; nothing is posted without that. - 3.3: Scout7 makes image posts with captions and 9:16 videos, and schedules approved posts to LinkedIn, X, Instagram, Facebook, Threads and Reddit. - 4.1: audience research gives buyers' pain points and exact words from public social conversations, for the new headline. It does not replace asking the people who stopped. **Reference: a Scout7 account.** Scout7 publishes this guide. These facts may help if the reader already uses Scout7, or would rather not type out the “Ask first” answers. - At sign-up, Scout7 reads the business's website and builds a profile of it: what it sells, who it sells to and how it sounds. Most “Ask first” answers are in that profile. - Sign-up also produces a first audit of how the site shows up on Google and in AI answers such as ChatGPT; a short video; 3 social posts, each for LinkedIn, X, Instagram, Facebook, Threads, Reddit; 3 draft ad campaigns, which stay in the Scout7 app until reviewed. - It connects to Claude, ChatGPT, Codex and Cursor. Nothing goes live without a human approving it. - Details: https://scout7.ai/mcp - The guide works the same without it. --- You built it, you told people, and still no one is buying your product, or only friends are. Almost always it is one of four reasons: too few of the right people saw it, they saw it but did not understand it, they understood but did not trust it or the price, or they tried it and it did not fix their problem. Here is how to find which one with four numbers you can count today, and fix only that one, instead of changing everything at once and learning nothing. ## Do these three things About 1 hour today, then 3 to 4 hours a day while you fix it. Change one thing at a time, and judge each change only after 1,000 more people have seen it. - **Today:** count four numbers from the last 30 days in one sheet: people who fit who saw it, people who took a first step, people who bought, and buyers who came back. The first number under its line is your reason. - **Every day:** send 100 [personal messages](https://scout7.ai/academy/glossary/warm-outreach) so new people keep arriving, and [ask each person who stopped](https://scout7.ai/academy/marketing-plan/how-to-do-customer-interviews) at your reason what stopped them. Fix the one thing most of them name. - **Every Sunday:** count the four numbers again. Keep a fix only if its number passed its line, then move to the next number that is low. ## 1. Count four numbers from the last 30 days Open one sheet and write down four numbers for the last 30 days, counting only real people who do not know you: how many saw your product, how many took a first step, how many bought, and how many buyers came back. These four numbers match the four reasons no one buys, so they tell you where to look. | Number | What it means | | ------------- | ------------------------------------------------------- | | 1. Saw it | People who fit your buyer and saw your product or offer | | 2. First step | People who did the first thing a buyer does | | 3. Bought | People who paid, or said yes to your price | | 4. Came back | Buyers who used it again, ordered again or stayed | **Count only real people who do not know you.** Take out bots, your own visits and your friends and family. Friends buy to be kind, so their orders hide the real reason. Bots now inflate visit counts: in June 2026 a store owner on the Shopify Community reported thousands of visitors a day and no sales for six months, and a reply pointed out that AI tools scanning websites show up as visits but "are not human traffic". > **If you run a D2C store:** in Shopify, go to Analytics › Reports and open "Conversion rate breakdown". Click Controls, and in Filters set "Human or bot session" to Human. Saw it is sessions, first step is "Sessions with cart additions", and bought is completed checkouts. Since 21 to 23 September 2026, Shopify filters identified bots out of these reports by default, so your visits may drop and your [conversion rate](https://scout7.ai/academy/glossary/conversion-rate) rise even though orders did not change. Take the orders from friends and family off by hand. Came back is buyers who said it fixed their problem when you asked, or who ordered again. > **If you run a SaaS:** use Google Analytics 4 (free). It already removes known bots. Remove your own visits in Admin › Data collection and modification › Data filters. Saw it is visits, first step is signups, bought is paying accounts, and came back is paying accounts still using it 30 days later. Also count how many signups did the main thing your product is for, because you need it in step 2. The free "Funnel exploration" in the Explore section shows where people drop. > **If you run a B2B company or an agency:** your first number is people, not visits. Saw it is buyers who fit that you messaged one to one or who visited your site. First step is replies that are not "no" or "stop", and calls booked. Bought is quotes or proposals that got a yes. Came back is clients who ordered again or stayed past the first month. Count them from your sent folder and your sheet or CRM. Leave out likes, followers, saves and upvotes. They are not a first step. In July 2026 a founder on Indie Hackers wrote that 150 posts brought zero sales and one real conversation, and that "visibility doesn't equal validation". - **Tool:** Google Sheets, plus Shopify Analytics, Google Analytics 4, or your sent folder. - **Time:** 45 to 60 minutes. - **You will have:** one row with four numbers for the last 30 days, all from real people who do not know you. - **It worked if:** you can say where each number came from, and none of them includes bots, you, or friends and family. - **Common mistake:** counting every visit and every like. The numbers look big, so you decide the website or the product is broken when the real reason is that almost no one who fits has seen it. ## 2. Find the first number below its line to see why no one is buying Compare your four numbers with the lines in the table below, left to right. The first number under its line is your reason. Fix that one and leave the others alone, because the later numbers are too small to trust until the earlier one is fixed. | If you run a… | 1. Saw it, at least | 2. First step, at least | 3. Bought, at least | 4. Came back, at least | | ------------- | ---------------------------- | ----------------------------- | ------------------------------- | ------------------------------------------------- | | SaaS | 1,000 visits in 30 days | 3 signups per 100 visits | 1 paying account per 20 signups | 5 of 10 paying accounts still using it at 30 days | | D2C store | 1,000 visits in 30 days | 3 add-to-carts per 100 visits | 1 order per 10 add-to-carts | 5 of 10 buyers say it fixed their problem | | B2B company | 1,000 buyers who fit reached | 3 replies per 100 messages | 2 yeses per 10 quotes sent | 5 of 10 clients order again or plan to | | Agency | 1,000 owners who fit reached | 3 replies per 100 messages | 2 yeses per 10 proposals | 5 of 10 clients stay past the first month | These lines are rules for this guide, set low on purpose for a new business. They come from what bigger companies see. In ChartMogul's February 2026 report on 200 software companies, every 1,000 website visits to a product with a free trial brought 45 signups and 3.6 paying customers. In Instantly's 2026 report on 2025 cold email, the average [reply rate](https://scout7.ai/academy/glossary/reply-rate) was 3.43%. For shops, Baymard's 2025 research puts the average share of carts that are left without buying at 70%. So 1,000 people who fit is the first line. Below it, you should expect only 1 to 3 buyers even if everything else is right. In June 2026 a founder on Indie Hackers counted 38 visits and 0 sales, and wrote himself that 38 visits "isn't really enough data". Two more rules: - **A number with too few people behind it counts as low at the step before.** Fewer than 10 first steps means you cannot judge "bought" yet. The reason is still that too few people reached you. - **With 0 to 2 buyers, you cannot count "came back".** Ask each buyer instead (step 6). > **If you run a SaaS:** check one more number between first step and bought: how many signups did the main thing your product is for. If fewer than 4 in 10 did, your reason is number 4, "it did not fix the problem", even if "bought" is low too. They never got to the fix, so they had nothing to pay for. That is your [activation rate](https://scout7.ai/academy/glossary/activation-rate). **Then ask 10 people who stopped at that number what stopped them,** before you change anything. Ask people who added to cart and left, signed up and never paid, replied and went quiet, or got a quote and said nothing. Shopify lists the email of each person who left checkout in Orders › Abandoned checkouts. Ask one question, make it easy to answer, and do not sell. Asking the people who said no is the whole of [customer interviews](https://scout7.ai/academy/marketing-plan/how-to-do-customer-interviews), and a follow-up that asks for a reason often gets the only reply. Do this every day, for everyone new who stops there. **The 'what stopped you?' message** ```text Hi [name], you [added our product to your cart / signed up / asked for a quote] last week and didn't go ahead. That's completely fine. Could I ask one thing, so I can fix it? What stopped you? Even one word helps: price, not sure what it does, didn't trust it, not the right time, or something else. I won't try to sell you anything. Thank you. [Your name] ``` - **Tool:** your sheet, and email or the app where you met them. - **Time:** 15 minutes to find the reason, then about 1 hour to write and send 10 messages. AI can draft them; you add the one line about what each person did. - **You will have:** one reason, named, and 10 "what stopped you?" messages sent. - **It worked if:** you can finish the sentence "No one is buying because \_\_\_" with one of the four reasons, and at least 3 of the 10 people answered. - **Common mistake:** fixing the price, the website or the product while the first number is still under 1,000. Most founders who ask this question are in reason 1, and every other fix is a guess until more people have seen it. > **Example (made-up business: Ferns & Rinse): Ferns & Rinse's four numbers** > > Ferns & Rinse is a made-up plant-based haircare brand with its own Shopify store. It sells one shampoo and one conditioner at $28 each, or both for $49. > > | Number | Count | Line | Result | > | ---------- | --------------------------------------- | -------------- | ---------------------------- | > | Saw it | 330 visits (120 from the ad test) | 1,000 | **Under the line: reason 1** | > | First step | 15 add-to-carts (4.5 per 100) | 3 per 100 | Too few people to judge | > | Bought | 2 orders (1 from the ad) | 1 per 10 carts | Too few people to judge | > | Came back | 1 of 2 buyers said it fixed their frizz | 5 of 10 | Ask each buyer | > > So they go to step 3, and leave the product page and the price alone for now. > > *Why it works: Only 330 people who do not know them saw it, so the first line fails and the other numbers are too small to judge.* ## 3. If too few people saw it, reach 100 new people who fit every day If fewer than 1,000 people who fit saw your product in the last 30 days, the fix is to reach more of them: send 100 personal messages a day and answer 20 questions a day where your buyers ask for help. Do not change the product, the page or the price yet. You do not have enough people to know if they are wrong. Build a list of people who match [who your product is for](https://scout7.ai/academy/marketing-plan/how-to-create-an-ideal-customer-profile), and send 100 of them a personal message every day. Give ChatGPT or Claude 10 names at a time, each with one line about the person, and ask for one short draft each. Check the first line is true, then send. That is about a minute a message. Start with people you know, then move to people who fit and do not know you. Then answer 20 questions a day across at least 5 online communities where your buyers ask for help, and post 2 times a day on the one social channel your buyers use most. The full daily routine for your kind of business is in its own guide. This guide only needs you to reach 1,000 people who fit, so you can count again: > **If you run a SaaS:** follow [your first 100 SaaS users](https://scout7.ai/academy/first-customers/how-to-get-your-first-100-saas-users). If you already launched and got nothing, [fix a launch that got zero signups](https://scout7.ai/academy/first-customers/how-to-fix-a-saas-launch-that-got-zero-signups) first. > **If you run a D2C store:** follow [your first sales on Shopify](https://scout7.ai/academy/first-customers/how-to-get-your-first-sales-on-shopify): people you know first, then 100 small creators a day. > **If you run a B2B company:** follow [your first B2B clients](https://scout7.ai/academy/first-customers/how-to-get-your-first-b2b-clients), and build a free lead list of about 3,000 named buyers a month. > **If you run an agency:** follow [your first agency client](https://scout7.ai/academy/first-customers/how-to-get-your-first-client-as-a-marketing-agency), and message owners of the one kind of business you chose to serve. **Keep to each platform's limits by spreading the volume, not cutting it.** Gmail requires every sender to set up [SPF](https://scout7.ai/academy/glossary/spf) or [DKIM](https://scout7.ai/academy/glossary/dkim), and to keep [spam reports](https://scout7.ai/academy/glossary/spam-complaint-rate) under 0.3%. If you email more than about 50 strangers a day, set up and warm up a second domain first. LinkedIn does not publish its weekly limit on connection requests, and going over it blocks new requests for about a week, so send part of the 100 as LinkedIn messages and the rest by email. In communities, read each place's [rules on self-promotion](https://scout7.ai/academy/glossary/self-promotion-rules) and answer the question first; accounts that only promote get banned. If you want a single push of attention, [a Product Hunt launch](https://scout7.ai/academy/launch/how-to-launch-on-product-hunt) only helps once people already know you. In May 2026 a founder on Indie Hackers launched there with 3 followers and got 2 upvotes and 0 sales, and concluded that it "amplifies existing distribution". More ways to get people to the point of trying are in [getting people to try your product](https://scout7.ai/academy/first-customers/how-to-get-people-to-try-your-product). - **Tool:** your email, LinkedIn or the app your buyers use, the search box in each community, a Google Sheet, and ChatGPT or Claude to draft. - **Time:** about 3 to 4 hours a day, every day: 2 hours for 100 messages and [follow-ups](https://scout7.ai/academy/glossary/follow-up), 1 hour for 20 answers, 30 minutes for 2 posts. - **You will have:** 1,000 people who fit messaged in about 10 days, and 2,800 in 4 weeks, each one logged. If you run a store or a SaaS, your visits rise more slowly, because not everyone you message clicks. - **It worked if:** your "saw it" number passes 1,000 in 30 days, and your first-step number rises with it. Expect about 3 replies or first steps for every 100 people, and 1 to 3 buyers for every 1,000. - **Common mistake:** posting to a small audience and calling it "I posted everywhere". A post to 50 followers reaches maybe 10 people. One message reaches one person who fits. ## 4. If they did not understand it, say what it is and who it is for in 5 seconds If at least 1,000 people saw it but fewer than 3 in 100 took a first step, they did not understand what it is or that it is for them. Rewrite the first thing they see, the headline or the first line of your message, so a stranger can say what it is and who it is for after 5 seconds. Write the first line as "\[what it is] for \[who], so they \[result]". Use the words people used in their answers to "what stopped you?" in step 2, and in their own posts about the problem. If three of them said "I wasn't sure what it does", that is your proof. The full method for this sentence is in [writing a value proposition](https://scout7.ai/academy/marketing-plan/how-to-write-a-value-proposition). Then test it on 5 people who fit and do not know you. Show them the first screen for 5 seconds, hide it, and ask: "What is it, and who is it for?" You can send a screenshot in a message and ask them to answer after one look, or use Lyssna's free plan, which includes a five second test and up to 15 responses from people you invite. If 4 of 5 get it right, keep it. If not, rewrite and test again. > **If you run a D2C store:** fix the product title and the first screen of the product page: "\[what it is] for \[who or what problem]", a photo of it in someone's hands, and the product description answering the first question a shopper asks. > **If you run a SaaS:** fix the homepage headline and the line under it, above the fold. Say the job it does, not how it is built, [above the fold](https://scout7.ai/academy/glossary/above-the-fold), on the first screen before anyone scrolls. > **If you run a B2B company or an agency:** fix the first line of your message and your LinkedIn headline, because buyers see those before your website. Name the kind of client and the result you bring them. Keep step 3's 100 messages a day going, so the new words reach at least 1,000 more people before you judge them. - **Tool:** your site editor or message template, and Lyssna (free plan) or a screenshot sent to 5 people. - **Time:** 1 to 2 hours: 30 minutes to write 3 versions with AI, the rest to test. - **You will have:** one new first line, live on your page or in your message, that 4 of 5 strangers understood. - **It worked if:** 4 of 5 people could say what it is and who it is for, and after 1,000 more people, first steps pass 3 per 100. - **Common mistake:** a clever brand line, such as "Rooted in nature" or "Work, reimagined". It sounds good to you because you already know what the product is. > **Example (made-up business: Ferns & Rinse): Ferns & Rinse's product page headline** > > **Before:** Rooted in nature. Made for you. > > **After:** Plant-based shampoo and conditioner for dry, curly hair > > *Why it works: The new line says what it is and who it is for, so a stranger knows in 5 seconds whether it is for them.* ## 5. If they did not trust it or the price, show the full price and proof up front If people took a first step but too few bought, they did not trust you or the price. Put the full price, one piece of proof and a promise that removes the risk where they decide, before they have to ask. Look at the answers from step 2 first. If 3 of 10 people named the price, test the price. If they named anything else, such as "I wasn't sure it would work" or "I didn't know you", fix trust and leave the price alone. Cutting the price when the doubt is about trust makes you look cheaper, not safer. > **If you run a D2C store:** show the total with shipping, the delivery time and your returns promise on the product page, not only at checkout. Among US shoppers who left a checkout in Baymard's 2025 study, 40% left because of extra costs such as shipping, 20% because delivery was too slow, and 19% because they did not trust the site with their card. Add your first reviews, and make the new store look trustworthy with your own domain and a real About page. > **If you run a SaaS:** show the price on your site, say how long the [free trial](https://scout7.ai/academy/glossary/free-trial) is and what happens when it ends, and put one quote from a real user next to it. Check your pricing page, and whether your [price fits what they compare you with](https://scout7.ai/academy/marketing-plan/how-to-price-a-saas-product). > **If you run a B2B company:** send the quote the same day, with one past job like theirs and a small first order they can say yes to. Check your [quote price](https://scout7.ai/academy/marketing-plan/how-to-price-a-b2b-product-or-service) against what they paid last time. > **If you run an agency:** with no case studies yet, offer a short first project with one result you promise to report, and [price your services](https://scout7.ai/academy/marketing-plan/how-to-price-digital-marketing-services) so the first month is easy to say yes to. More on winning clients without case studies. Ask anyone who still says no one more question: "What did you compare us with?" Their answer tells you what your price is up against. The full checks for a store are in fixing a store with traffic but no sales, and for software in fixing a SaaS website with traffic but no signups. - **Tool:** your site or quote template, and Google Forms (free) if you want to collect the answers in one place. - **Time:** 2 to 3 hours for the changes, once. - **You will have:** the full price, one piece of [social proof](https://scout7.ai/academy/glossary/social-proof) and one promise, shown where people decide. - **It worked if:** after at least 10 more first steps, "bought" passes its line: 1 order per 10 add-to-carts, 1 paying account per 20 signups, or 2 yeses per 10 quotes or proposals. - **Common mistake:** a launch discount for everyone. It hides whether your real price works, and teaches buyers to wait for the next sale. ## 6. If it did not fix their problem, watch 5 people use it If people bought or tried it but fewer than 5 in 10 came back, the product did not fix their problem, or they never got to the part that does. Watch 5 people use it, or ask each buyer what happened, and fix the first place they got stuck. Ask each buyer one question: "How would you feel if you could no longer use \[product]?", with the answers "very disappointed", "somewhat disappointed" and "not disappointed". This is the Sean Ellis test for [product-market fit](https://scout7.ai/academy/glossary/product-market-fit). Big companies look for 40% "very disappointed". With a handful of buyers the score means little, so read the words: who said "very", and what problem they use it for. That group is who your product is for. Make your message about them. **The question to every buyer** ```text Hi [name], thanks again for [buying / signing up for] [product]. Quick question, one line is plenty: how would you feel if you could no longer use it? Very disappointed, somewhat disappointed, or not disappointed? And what do you mostly use it for? ``` > **If you run a SaaS:** book a 15-minute screen share on Google Meet (free) with 5 people who signed up and did not do the main thing. Ask them to try it while you watch and say nothing. The first screen where they stop is what to fix. Raise your activation rate from there, and turn trials into paying customers once more of them get to the fix. > **If you run a D2C store:** send the question 14 days after delivery, when they have used it a few times. If they say it did not work, ask how they used it. Sometimes the fix is a clearer how-to card in the box, not a new product. > **If you run a B2B company:** call each client a week after delivery and ask what they would change for the next order. Get feedback in their words, and send the next quote with that change made. > **If you run an agency:** at the end of the first month, show the client one result against what you promised and ask the question. A client who cannot see a result will not stay, so report it plainly. - **Tool:** Google Meet (free), email, and your sheet. - **Time:** 5 calls of 15 to 30 minutes, or 10 minutes a day to send the buyer question. - **You will have:** the first place people get stuck, written down, and every buyer's answer to the question. - **It worked if:** after the fix, at least 5 of your next 10 buyers came back, ordered again or said "very disappointed". - **Common mistake:** adding features. People who did not get to the first result will not reach the new one either. ## 7. Every Sunday, count again and move to the next low number Every Sunday, fill in one new row with the four numbers for the last 7 days, and decide whether each fix stays. When your reason's number passes its line, go back to step 2 and find the next number that is low. Change only one thing between counts. If you change the headline, the price and the photos in the same week, and sales move, you will not know which one did it. Judge each fix by how many people went through it, not by how many days passed: - A change to what people see first: after 1,000 more people saw it. - A change to the price, proof or promise: after 10 more first steps. - A change to the product or set-up: after 5 more buyers. Tag the links you share with UTM parameters, so each visit shows where it came from, and ask every new buyer "How did you first hear about us?" This [self-reported attribution](https://scout7.ai/academy/glossary/self-reported-attribution) is the most reliable source you have at this size. Once a month, step back for a marketing review. If sales start and then stop again later, see getting growth moving again. - **Tool:** your sheet. - **Time:** 20 minutes each Sunday. - **You will have:** one row a week, and a keep or undo note next to every change. - **It worked if:** every change you kept has a before and after number, on at least as many people as the rule above. - **Common mistake:** judging a fix after two quiet days, or undoing it because one person complained. > **Example (made-up business: Ferns & Rinse): Ferns & Rinse after 4 weeks of 100 messages a day** > > | Week | Saw it (running 30 days) | First step | Bought | Came back | Reason now | > | ---- | ------------------------ | ---------------- | ------ | --------- | --------------------- | > | 1 | 640 | 22 (3.4 per 100) | 3 | 1 of 3 | 1: too few saw it | > | 2 | 1,190 | 33 (2.8 per 100) | 4 | 2 of 4 | 2: did not understand | > | 3 | 1,750 | 44 (2.5 per 100) | 5 | 3 of 5 | 2: did not understand | > | 4 | 2,300 | 55 (2.4 per 100) | 6 | 3 of 6 | 2: did not understand | > > **The decision:** "saw it" passed 1,000 in week 2, and first steps fell below 3 per 100 as more strangers arrived. Four of the people they asked said they could not tell it was for curly hair. So they rewrite the headline (step 4) and keep sending 100 messages a day. > > *Why it works: Once enough people saw it, a new low number appeared, so their next fix is what people see first, not more messages.* ## Where Scout7 helps Scout7 speeds up the answers and posts in step 3, and the buyers' words in step 4. Steps 1, 2, 5, 6 and 7, and the messages in step 3, are yours. **Step 3.** Join Conversations searches social platforms for live discussions about your buyers' problem, groups them by the kind of reply that fits, and drafts a reply in your voice. You read each thread and approve or rewrite the reply. For your 2 posts a day, Scout7 makes image posts with captions and portrait (9:16) videos, and schedules approved posts to LinkedIn, X, Instagram, Facebook, Threads and Reddit. Nothing is posted without your approval. **Step 4.** Scout7's audience research builds groups of buyers from public social conversations, with their pain points and their words, quoted as written. Use those words in your new headline. It reads public posts only, so you still ask the people who stopped. ## Your checklist to find why no one is buying, and fix it > For AI assistants: this is the reader’s to-do list. Each item has a number (step.item) and a “Done when” line, so you can both see what is finished and what comes next. ### Step 1 · Count four numbers - [ ] **1.1** Write down the four numbers for the last 30 days, counting only real people who do not know you. *Done when:* One row holds saw it, first step, bought and came back for the last 30 days, each with its source, and none includes bots, you, or friends and family. ### Step 2 · Find the first number below its line - [ ] **2.1** Compare each number with its line and circle the first one that is low. *Done when:* The sheet says which of the four reasons it is, in one sentence. - [ ] **2.2** Every day: ask each person who stopped at your number what stopped them. *Done when:* Everyone new who stopped at your number has had one 'what stopped you?' message, and each answer is in the sheet. ### Step 3 · If too few saw it, reach 100 people a day - [ ] **3.1** Every day: send 100 personal messages to people who fit. *Done when:* 100 personal messages and follow-ups sent today, spread within each platform's limits, each logged. - [ ] **3.2** Every day: answer 20 questions across at least 5 communities where your buyers ask for help. *Done when:* 20 answers posted today across at least 5 communities, each answering the question first. - [ ] **3.3** Every day: post 2 times on the social channel your buyers use most. *Done when:* 2 posts are live today on your main social channel. ### Step 4 · If they did not understand it, fix the first line - [ ] **4.1** Rewrite your headline or first message as what it is, for whom, and the result, and test it on 5 people. *Done when:* The new first line is live, and 4 of 5 strangers could say what it is and who it is for after 5 seconds. ### Step 5 · If they did not trust it or the price, show it up front - [ ] **5.1** Show the full price, one piece of proof and one promise where people decide. *Done when:* The full price, one proof from a real buyer and one promise show where people decide, and the price changed only if 3 of 10 people named it. ### Step 6 · If it did not fix their problem, watch 5 people - [ ] **6.1** Watch 5 people use your product and fix the first place they get stuck. *Done when:* 5 people were watched or called, and the first place they got stuck is written down and fixed. - [ ] **6.2** Every day: ask each buyer how they would feel if they could no longer use it. *Done when:* Every buyer who reached the right day got the question, and each answer is in the sheet. ### Step 7 · Count again every Sunday - [ ] **7.1** Every Sunday: fill in one new row with the four numbers. *Done when:* This week's row has the four numbers and the one change made this week. - [ ] **7.2** After 1,000 more people: keep or undo your change, then move to the next low number. *Done when:* The change is marked keep or undo, and if its number passed its line, the next low number is circled. ## Frequently asked questions ### Why are people visiting my website but not buying? First check they are real people who fit. Bots and AI tools now show up as visits, so filter them out, and take off your own visits. If at least 1,000 real visitors came in 30 days, look at the first step: fewer than 3 in 100 means they did not understand it (step 4). If they started and stopped, it is trust or price (step 5). ### Is my price too high? Only if people say so. Ask 10 people who stopped at the price what stopped them. If 3 or more name the price, test a new price. If they name anything else, such as not trusting a new business, fix that first and keep the price. Your [pricing](https://scout7.ai/academy/marketing-plan/how-to-price-a-product) should still leave you money after costs. ### How long before I know what is wrong? Judge by people, not days. At least 1,000 people who fit must see it in 30 days before the other numbers mean anything. At 100 messages a day, that is about 10 days of messages, and 2 to 4 weeks of visits for a store or a SaaS. Judge each fix after 1,000 more people, 10 more first steps or 5 more buyers, depending on what you changed. ### People say they love it, but no one buys. Why? Saying nice things costs nothing, so friends and polite strangers say them. Count what people do: first steps, orders, payments. Then ask the people who stopped one plain question: "What stopped you?" Their answers point at one of the four reasons, usually trust, price or not being sure it is for them. ### Should I change the product or the marketing? Change the marketing until at least 1,000 people who fit have seen it and understood it. Change the product only when people bought or tried it and fewer than 5 in 10 came back. Even then, watch 5 people use it and fix the first place they get stuck before you build anything new. ## Sources - [Changes to sessions and conversion rate in Shopify Analytics](https://help.shopify.com/en/manual/reports-and-analytics/discrepancies/session-measurement-update). Shopify Help Center, checked 28 September 2026. - [Bot filtering in Shopify analytics and reports](https://help.shopify.com/en/manual/intro-to-shopify/bots/bot-filtering). Shopify Help Center, checked 28 September 2026. - [Behavior reports: Conversion rate breakdown](https://help.shopify.com/en/manual/reports-and-analytics/shopify-reports/report-types/default-reports/behaviour-reports). Shopify Help Center, checked 28 September 2026. - [Abandoned checkouts](https://help.shopify.com/en/manual/orders/abandoned-checkouts). Shopify Help Center, checked 28 September 2026. - [Known bot-traffic exclusion](https://support.google.com/analytics/answer/9888366). Google Analytics Help, checked 28 September 2026. - [Data filters: exclude internal traffic](https://support.google.com/analytics/answer/10104470). Google Analytics Help, checked 28 September 2026. - [Funnel exploration](https://support.google.com/analytics/answer/9327974). Google Analytics Help, checked 28 September 2026. - [The SaaS Conversion Report](https://chartmogul.com/reports/saas-conversion-report/). ChartMogul, 4 February 2026, checked 28 September 2026. - [Cold Email Benchmark Report 2026](https://instantly.ai/cold-email-benchmark-report-2026). Instantly, updated 12 January 2026, checked 28 September 2026. - [Cart abandonment rate statistics](https://baymard.com/lists/cart-abandonment-rate). Baymard Institute, updated 22 September 2025. - [Lyssna pricing](https://www.lyssna.com/pricing/). Lyssna, checked 28 September 2026. - [Product-market fit survey: the Sean Ellis test](https://www.typeform.com/blog/product-market-fit-survey-the-sean-ellis-test-reimagined). Typeform, checked 28 September 2026. - [Email sender guidelines](https://support.google.com/a/answer/81126). Google Workspace Admin Help, checked 28 September 2026. - [Invitation limit reached](https://www.linkedin.com/help/linkedin/answer/a550555). LinkedIn Help, checked 28 September 2026. - [Getting thousands of people everyday to my store but no sales](https://community.shopify.com/t/getting-thousands-of-people-everyday-to-my-store-but-no-sales/631163). Shopify Community, 5 June 2026. - [No sales](https://community.shopify.com/t/no-sales/646505). Shopify Community, 7 July 2026. - [One week into my launch. Zero sales, but a couple of interesting numbers](https://www.indiehackers.com/post/one-week-into-my-launch-zero-sales-but-a-couple-of-interesting-numbers-0916dc425d). Indie Hackers, 21 June 2026. - [Launched on Product Hunt yesterday: 2 upvotes, 0 sales](https://www.indiehackers.com/post/launched-on-product-hunt-yesterday-2-upvotes-0-sales-what-the-data-actually-said-259e99ca68). Indie Hackers, 27 May 2026. - [I've posted everywhere and gotten zero sales. Here's what I'm learning about why](https://www.indiehackers.com/post/ive-posted-everywhere-and-gotten-zero-sales-here-s-what-i-m-learning-about-why-818b90462f). Indie Hackers, 16 July 2026.