[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blog-en-optimize-amazon-listings-for-sales":3,"blog-related-latest-en-optimize-amazon-listings-for-sales":51,"blog-translations-optimize-amazon-listings-for-sales":61,"blog-related-category-en-optimize-amazon-listings-for-sales":62},{"id":4,"type":5,"locale":6,"slug":7,"title":8,"description":9,"body":10,"status":11,"section":12,"tags":13,"author":15,"cover_url":16,"published_at":17,"metadata":18,"template":5,"sort_order":47,"source_id":48,"search_vector":49,"created_at":50,"updated_at":50},"690617a7-28a4-4fa8-81bf-981bbc217f35","blog","en","optimize-amazon-listings-for-sales","How to Optimize Your Amazon Listing for Higher Conversion Rates","Most Amazon sellers optimize their listing with generic best practices. Here is the operator-level framework we use across 300+ brands to diagnose and fix the real conversion bottlenecks, from primary image CTR to A+ Content to the metrics that actually matter.","## Key Takeaways\n\n- Your listing is a multiplier on every dollar of traffic across all 5 channels. If your conversion rate is below category average, increasing ad spend just accelerates losses.\n- Diagnose sequentially, not randomly. Primary image CTR first, then conversion rate, then return rate. Each gate must clear before the next one matters.\n- Write listing copy from your customer's documented complaints, not your feature list. The Rating Gap Method applied to copy outperforms generic \"benefit-driven\" bullet points every time.\n- If your return rate is above the category threshold, no amount of listing optimization fixes a product problem. That is a kill signal, not an optimization opportunity.\n\n## If Your Conversion Rate Is Low, No Amount of Ad Spend Fixes It\n\nMost Amazon sellers see flat sales and do the same thing. They increase the ad budget. Run more Sponsored Products. Bid higher on keywords. Pour more money into traffic hoping the numbers shift.\n\nThe real problem is almost never traffic. It is conversion.\n\nHere is how operators actually think about this. Your listing is a multiplier on every dollar of traffic you drive across all 5 channels: organic, advertisement, promotion, influencer, and off-channel. If your listing converts at 5% when the category average is 12%, you are not just underperforming. You are wasting more than half of every dollar you spend on ads.\n\nThat math is not theoretical. We saw it firsthand with Aubrey, a client who came to Flapen with a struggling brand. Sales were flat. The instinct was to spend more on ads. Instead, we diagnosed the listing. Within the first month, we increased the conversion rate by 40%. The brand scaled to $30K+ per month. Aubrey hired Flapen again for a second brand.\n\nThe difference was not more traffic. It was fixing the multiplier.\n\nWhat I am going to walk you through is the diagnostic framework we use across 300+ brands at Flapen. Not a checklist of generic best practices. A systematic diagnosis that starts with the highest-leverage element and works down. The same framework that produced that 40% lift.\n\n## The Diagnostic Sequence: Where Is the Real Bottleneck\n\nThe reason most listing \"optimization\" fails is that sellers adjust the wrong variable. They rewrite bullet points when the primary image is killing their click-through rate. They redesign A+ Content when the return rate is signaling a product problem no listing can fix. They change everything at once and learn nothing.\n\nThe Brand Audit Framework we use at Flapen follows a specific diagnostic sequence. Order matters because each step is a gate. If the first gate is broken, fixing anything downstream is wasted effort.\n\nHere is the sequence:\n\n1. **Primary image CTR.** Are people clicking on your listing in search results? If not, nothing else matters. This is gate one.\n2. **Conversion rate.** Are visitors buying once they land on your page? If CTR is healthy but conversion is below category average, the problem is on the listing itself: copy, images, A+ Content, or pricing.\n3. **Return rate.** Are customers keeping what they bought? If return rate is above the category threshold, either the listing sets expectations the product cannot meet, or the product itself is the problem.\n\nThese three gates tell you exactly where to focus. Not all at once. Not randomly. Sequentially.\n\n\u003C!-- FOUNDER INPUT NEEDED: Do you have specific CTR or conversion rate benchmarks by category from Flapen's data across 300+ brands? Even general ranges (e.g., \"across consumer goods categories, we typically see CTR between X% and Y%\") would strengthen this section significantly. -->\n\nMost sellers adjust one variable, usually ads, when sales decline. The audit forces a full-system review because the bottleneck is rarely where you assume it is.\n\n## Primary Image: The Single Highest-Leverage Element\n\nYour primary image determines whether anyone even sees your listing. If nobody clicks, nothing else on your page matters. Not your bullet points. Not your A+ Content. Not your pricing.\n\nThis is a CTR optimization problem, not a photography problem. The question is not \"is this photo beautiful?\" The question is \"does this image earn the click in a grid of 20 competitors?\"\n\nThink about what a customer actually sees. A search results page with 20+ product images stacked together. Your primary image has roughly one second to communicate three things: what the product is, how it is different from the others on the page, and why it is worth clicking on.\n\nHere is what drives CTR in that context:\n\n- **Product clarity.** The customer can immediately identify what the product is and what it does. No ambiguity, no clutter, no confusing angles.\n- **Scale communication.** The customer understands size, quantity, and what they are getting. Mismatched scale expectations are one of the top drivers of both low CTR and high return rates.\n- **Visual differentiation from the search grid.** If your image looks identical to the other 19 results, you have no reason to be clicked. This does not mean gimmicks. It means understanding what the grid looks like and positioning your image to stand out clearly.\n\nWe produce all listing visuals through our in-house creative studio in Dubai specifically because this element is too important to outsource to a generalist photographer. Every primary image we create is designed for the search grid, not for the product page.\n\nThe tool you need here is Amazon's Manage Your Experiments. A\u002FB test your primary image directly. Test one element at a time. Run the test long enough to get statistical significance. Most sellers never test their primary image because they think it is \"good enough.\" The data almost always shows otherwise.\n\n\u003C!-- FOUNDER INPUT NEEDED: Do you have a specific example of a primary image change that measurably improved CTR? A before\u002Fafter with a percentage lift would be a strong proof point here. -->\n\nNow let me show you what this looks like when you move past gate one and into the listing itself.\n\n## Writing Copy from the Customer's Complaints, Not Your Feature List\n\nMost sellers write listing copy from their own perspective. They list features. They describe specs. They highlight benefits they assume matter based on their own understanding of the product.\n\nOperators do the opposite. We write copy from documented customer pain points.\n\nThis is the Rating Gap Method applied to listing copy. The same framework I use for product differentiation works for writing the words that sell the product. Here is the process:\n\n**Aggregate negative reviews across the top 5 competitors in your market.** Not your reviews. Their reviews. Pull every 1-star, 2-star, and 3-star review. Read them.\n\n**Identify the 3 to 5 most repeated complaint patterns.** You will find them fast. The same complaints show up across multiple competitors, often using the same language. Customers complaining about durability, sizing accuracy, missing accessories, misleading photos, confusing instructions. Whatever it is, the pattern will be obvious once you look.\n\n**Make each complaint a bullet point.** Not a generic \"high quality materials\" bullet. A bullet that directly addresses the specific complaint: \"Reinforced double-stitched seams because we know flimsy stitching is the number one complaint in this category.\" You are not guessing what to highlight. The market is telling you.\n\nThis approach does two things simultaneously. First, it addresses the exact concerns your potential customer already has because they have read the same reviews you just analyzed. Second, it differentiates your listing from every competitor who is writing the same generic benefit-driven copy.\n\nSo the real question becomes: what about keywords?\n\nKeywords matter. But they are a supporting layer, not the starting point. The words customers use in their reviews and in their search queries are often the same words. When someone complains that a product \"broke after two uses,\" the keyword \"durable\" is already embedded in the pain point. When someone searches \"heavy duty shelf brackets,\" they are searching because they read reviews about brackets that failed.\n\nTools like Helium 10, Jungle Scout, and Amazon's Opportunity Explorer can help you validate search volume for these terms. Use them for that. But do not start with the tools. Start with the reviews. Your strategy should define how you use tools, not the other way around.\n\nYour title should contain the highest-volume keyword for your market, naturally integrated. Your bullet points should map directly to customer pain points, with relevant keywords woven in. Your backend search terms capture the long-tail variations. None of this is complicated. The insight is in where you start: with the customer's words, not the tool's suggestions.\n\n## A+ Content: Conversion Rate Optimization, Not Brand Decoration\n\nA+ Content is not \"nice to have.\" It is not about showing your brand personality. It is a conversion rate optimization tool.\n\nIts job is specific: overcome the remaining objections a customer has after reading the bullet points. If the bullet points address the top 3 complaints from competitor reviews, the A+ Content addresses objections 4 and 5. It provides visual proof of your claims. It reduces the confusion that leads to returns.\n\nHere is the strategic thinking behind each A+ Content module:\n\n**Comparison charts** preempt the \"which one should I buy?\" hesitation. If a customer is deciding between your product and a competitor's, a well-built comparison chart keeps them on your listing instead of clicking back to search. Compare features that map directly to the pain points you identified in negative reviews.\n\n**Lifestyle imagery** should match the actual use case, not aspirational branding. If your product is a kitchen tool, show it in a real kitchen being used the way a customer would use it. Aspirational imagery sets expectations the product cannot meet, which drives up return rates.\n\n**Detail callouts** should visualize the specific innovations or improvements your product makes over existing options. If you addressed the durability complaint by reinforcing the stitching, show a close-up of that stitching with a callout.\n\n\u003C!-- FOUNDER INPUT NEEDED: Do you have internal data from Flapen's brands on A+ Content conversion lift? Even a general range (e.g., \"across the brands we manage, adding or redesigning A+ Content typically produces a X% to Y% conversion lift\") would replace the unverified 5.6% stat from the original post. -->\n\nThe mistake most sellers make with A+ Content is treating it as a branding exercise. Every module should earn its place by addressing a specific objection or reducing a specific confusion. If a module does not do one of those two things, cut it.\n\n## Return Rate: The Signal No Listing Optimization Can Fix\n\nHere is the diagnostic signal most sellers ignore. If your return rate is above the category average, you have one of two problems.\n\n**Problem one: your listing is setting expectations the product does not meet.** This is fixable. Your images show a product that looks bigger, sturdier, or more feature-rich than what arrives. Your bullet points promise something the product does not deliver. The fix is aligning the listing to reality. Better to lose some conversions upfront than to pay for returns and damaged reviews.\n\n**Problem two: the product itself is the problem.** This is not fixable through listing optimization. If the product fundamentally underdelivers on quality, functionality, or durability, better images and copy will only increase returns, not reduce them. You will attract more customers with a better listing and disappoint more of them when the product arrives.\n\nThis is where the Scale \u002F Fix \u002F Kill framework applies to listing optimization. Return rate above the category threshold with no product-level fix is a kill signal, not an optimization opportunity. No amount of A+ Content or primary image testing solves a product that customers do not want to keep.\n\n\u003C!-- FOUNDER INPUT NEEDED: The knowledge base references \"sub-8% return rate\" as a market entry criterion in one place. Is this a consistent threshold you use, or does it vary by category? A specific number or range here would strengthen this section. -->\n\nThe data shows this clearly across the brands we manage. When return rate is high and the root cause is the listing, we can fix it. When the root cause is the product, we kill it. No emotion. The numbers decide.\n\n## How to Measure Whether Your Optimization Is Working\n\nYou need exactly three metrics to know if your listing optimization is working.\n\n**Click-through rate from search results.** This tells you if your primary image works. If CTR is below category average, your primary image is the bottleneck. Fix that before touching anything else.\n\n**Conversion rate on the listing page.** This tells you if the listing closes the sale. If conversion rate is below category average despite healthy CTR, the problem is in your bullet points, images, A+ Content, pricing, or some combination.\n\n**Return rate post-purchase.** This tells you if the product delivers on the listing's promise. A high return rate after a listing redesign means you improved your marketing but not your customer experience. That is not optimization. That is a more expensive version of the same problem.\n\nThe diagnostic logic is sequential:\n\nLow CTR = primary image problem. Low conversion with healthy CTR = listing content problem. High return rate = product or expectation mismatch.\n\nUse Manage Your Experiments to A\u002FB test one element at a time. Start with the highest-leverage element: primary image first, then main listing images, then A+ Content. Never test multiple changes simultaneously because you will not know what worked.\n\nWe track these metrics across all brands through Flapen's live dashboards with 120+ KPIs. That level of tracking may be more than most solo sellers need. But the principle is the same regardless of scale: measure sequentially, diagnose the bottleneck, fix one thing at a time, and let the data tell you what is working.\n\n## The One Thing to Do This Week\n\nYour listing is the multiplier on every traffic channel. Fix the listing before you increase the budget.\n\nHere is one actionable directive you can execute this week for free. Pull the negative reviews for the top 5 competitors in your market. Read every 1-star, 2-star, and 3-star review. Identify the 3 most repeated complaints. Then rewrite your bullet points to directly address those complaints with your product's solution.\n\nThis one exercise, applying the Rating Gap Method to your listing copy, will improve your conversion rate more than any generic \"best practices\" checklist. Because you are not guessing what to say. The market already told you.\n\nIf you want to run the numbers on your specific product idea, we built a profit forecast dashboard inside Flapen that calculates your chance of success, your P&L, and your cash flow. You can try it free. [Link is in the description](\u002Fprofit-forecast).\n\n---\n\n\u003C!-- IMAGE: Brand Audit Framework diagnostic sequence — visual showing the 3 gates (CTR → Conversion Rate → Return Rate) as a sequential flow diagram -->\n\n\u003C!-- IMAGE: Rating Gap Method applied to listing copy — example showing competitor negative reviews mapped to bullet point copy -->\n\n\u003C!-- FOUNDER INPUT NEEDED: Confirm correct URLs for internal links to: Flapen SaaS product research page, Amazon Profit Forecast dashboard, and Amazon Launch Roadmap. Currently using placeholder \u002Fprofit-forecast path. -->","published","advertising",[14],"ppc","joel-turcotte-gaucher","\u002Fimages\u002Fblog\u002Foptimize-amazon-listings-for-sales.webp","2025-04-02T10:00:00+00:00",{"faq":19,"cover_alt":44,"seo_title":45,"seo_description":46},[20,24,28,32,36,40],{"id":21,"answer":22,"question":23},"1","Your primary image. It determines your click-through rate in search results, which is the first gate before conversion even becomes possible. If nobody clicks, nothing else on your listing matters. We optimize primary images first across every brand we manage at Flapen because it is the single highest-leverage element.","What is the most important element of an Amazon listing for conversion rate?",{"id":25,"answer":26,"question":27},"2","Track two numbers: click-through rate from search results and conversion rate on the listing page. If your CTR is below category average, your primary image is the problem. If your conversion rate is below category average despite decent traffic, the issue is in your bullet points, images, A+ Content, or pricing. Diagnose sequentially, not randomly.","How do I know if my Amazon listing is actually optimized?",{"id":29,"answer":30,"question":31},"3","In one case, we increased a client's conversion rate by 40% within the first month through listing diagnosis alone, not more ad spend. That client (Aubrey) scaled to $30K+ per month and hired Flapen again for a second brand. The listing is the multiplier on every dollar of traffic you drive.","How much can listing optimization actually improve Amazon sales?",{"id":33,"answer":34,"question":35},"4","Before. If your conversion rate is low, no amount of ad spend fixes it. Every ad click on a weak listing is wasted money. Optimize the listing first, validate your conversion rate against the category average, and then scale traffic through ads and the other 4 traffic channels.","Should I optimize my listing before or after running Amazon ads?",{"id":37,"answer":38,"question":39},"5","Analyze negative reviews across the top competitors in your market. Identify the patterns, the complaints customers repeat across multiple products. Then address those specific pain points directly in your bullet points, images, and A+ Content. This is feedback-driven innovation applied to listing copy. You are not guessing what to highlight. The market tells you.","How do I use negative reviews to improve my Amazon listing?",{"id":41,"answer":42,"question":43},"6","Focus on click-through rate from search results, conversion rate on the listing page, and return rate. CTR tells you if your primary image works. Conversion rate tells you if the listing closes the sale. Return rate tells you if the product delivers on the listing's promise. 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'here':21B,219C,497C,755C,905C,1052C,1495C,1693C,2214C 'hesitation':1514C 'high':811C,1143C,1899C,2037C,2086C 'higher':8A,197C 'highest':389C,640C,1359C,2109C 'highest-leverage':388C,639C,2108C 'highest-volume':1358C 'highlight':1000C,1179C 'hired':337C 'hoping':205C 'house':867C 'how':1A,221C,738C,1344C,1926C 'i':356C,1038C,1512C 'idea':2317C 'identical':824C 'identified':1554C 'identify':769C,1084C,2248C 'if':70C,136C,163C,251C,485C,514C,535C,567C,653C,820C,1460C,1515C,1569C,1619C,1671C,1701C,1795C,1941C,1957C,1962C,1989C,1995C,2027C,2306C 'ignore':1700C 'image':43B,89C,431C,503C,636C,645C,696C,725C,822C,853C,887C,916C,939C,1873C,1960C,1970C,2076C,2113C 'imagery':1559C,1592C 'images':553C,720C,1732C,1806C,2012C,2118C 'immediately':768C 'important':878C 'improve':2282C 'improved':2046C 'improvements':1612C 'in':511C,700C,760C,866C,870C,1064C,1170C,1254C,1258C,1283C,1381C,1400C,1555C,1578C,2008C,2235C,2346C 'in-house':865C 'increase':188C,1811C,2211C 'increased':323C 'increasing':78C 'influencer':246C 'innovations':1610C 'inside':2324C 'insight':1398C 'instead':313C,1538C 'instinct':306C 'instructions':1122C 'integrated':1366C 'into':203C,969C 'is':22B,58C,74C,140C,155C,167C,212C,217C,220C,229C,261C,283C,363C,407C,417C,432C,447C,482C,489C,494C,498C,520C,537C,541C,547C,570C,588C,628C,634C,674C,685C,687C,693C,737C,740C,751C,756C,773C,876C,890C,906C,944C,1026C,1053C,1125C,1165C,1182C,1221C,1280C,1395C,1399C,1424C,1430C,1438C,1446C,1496C,1518C,1572C,1648C,1694C,1705C,1720C,1729C,1760C,1785C,1789C,1835C,1858C,1898C,1904C,1915C,1932C,1945C,1964C,1971C,1998C,2007C,2055C,2059C,2071C,2164C,2188C,2199C,2215C,2345C 'it':175C,216C,288C,350C,633C,739C,750C,776C,842C,943C,1124C,1192C,1213C,1429C,1437C,1480C,1487C,1577C,1590C,1650C,1683C,1910C,1920C,2342C 'its':1444C,1659C 'itself':551C,587C,972C,1784C 'job':1445C 'jungle':1309C 'just':81C,266C,1210C 'keep':1884C 'keeping':563C 'keeps':1533C 'key':54C 'keyword':1278C,1361C 'keywords':199C,1237C,1238C,1379C 'kill':157C,1840C,1860C,1919C 'killing':433C 'kitchen':1574C,1581C 'know':1162C,1940C,2131C 'kpis':2148C 'l':2334C 'land':531C 'language':1110C 'layer':1245C 'leads':1492C 'learn':462C 'let':954C,2182C 'level':26B,1856C,2150C 'leverage':390C,641C,2110C 'lifestyle':1558C 'lift':402C 'like':849C,961C,1306C 'link':2344C 'list':119C,983C,994C 'listing':6A,16B,57C,108C,148C,228C,253C,317C,414C,453C,510C,550C,577C,652C,861C,971C,987C,1033C,1216C,1537C,1689C,1719C,1763C,1793C,1824C,1844C,1906C,1943C,1984C,1991C,2033C,2042C,2083C,2117C,2198C,2208C,2279C 'live':2144C 'logic':2070C 'long':927C,1389C 'long-tail':1388C 'look':1133C 'looks':823C,848C,960C,1737C 'lose':1768C 'losses':83C 'low':168C,808C,2073C,2078C 'main':2116C 'make':1134C,1644C 'makes':1615C 'manage':909C,1894C,2094C 'map':1371C,1547C 'market':1066C,1181C,1364C,2237C,2302C 'marketing':2048C 'match':1561C 'materials':1145C 'math':282C 'matter':53B,1004C,1239C 'matters':106C,478C,518C,661C 'may':2153C 'me':955C 'mean':840C 'means':843C,2044C 'measure':1928C,2170C 'meet':583C,1598C,1727C 'method':123C,1030C,2276C 'metrics':50B,1938C,2137C 'misleading':1119C 'mismatch':2092C 'mismatched':797C 'missing':1117C 'mistake':1641C 'module':1504C,1656C,1673C 'money':202C 'month':321C,335C 'more':193C,201C,271C,310C,348C,1741C,1819C,1827C,2061C,2155C,2286C 'most':11B,176C,413C,607C,933C,984C,1089C,1642C,1698C,2157C,2251C 'move':964C 'multiple':1104C,2124C 'multiplier':60C,231C,354C,2201C 'must':100C 'naturally':1365C 'need':904C,1935C,2160C 'negative':1057C,1556C,2228C 'never':214C,935C,2122C 'next':104C 'nice':1426C 'no':145C,169C,452C,778C,780C,782C,832C,1688C,1853C,1866C,1921C 'nobody':654C 'none':1392C 'not':86C,116C,159C,265C,284C,347C,374C,515C,600C,604C,662C,666C,670C,679C,686C,839C,896C,980C,1067C,1140C,1175C,1246C,1331C,1348C,1409C,1419C,1425C,1431C,1566C,1675C,1726C,1756C,1790C,1813C,1862C,1881C,2050C,2056C,2130C,2296C 'nothing':463C,516C,656C 'now':953C 'number':1167C 'numbers':207C,1924C,2312C 'objection':1665C 'objections':1451C,1476C 'obvious':1130C 'of':64C,147C,171C,235C,274C,377C,703C,802C,806C,1010C,1393C,1484C,1539C,1634C,1678C,1713C,1828C,1868C,2064C,2151C,2168C,2330C 'off':249C 'off-channel':248C 'often':1106C,1263C 'on':61C,198C,232C,279C,311C,508C,532C,548C,658C,745C,754C,1006C,1535C,1800C,1982C,2031C,2202C,2313C 'once':460C,529C,603C,1131C 'one':105C,522C,610C,728C,801C,919C,967C,1168C,1510C,1677C,1712C,1717C,2100C,2176C,2191C,2216C,2270C 'only':1810C 'operator':25B 'operator-level':24B 'operators':222C,1013C 'opportunity':162C,1314C,1865C 'opposite':1016C 'optimization':149C,161C,415C,677C,1418C,1442C,1690C,1794C,1845C,1864C,1931C,1944C,2057C 'optimize':3A,14B 'options':1618C 'or':556C,584C,1611C,1666C,1740C,1803C,1871C,2016C,2090C 'order':477C 'organic':243C 'other':827C,1350C 'others':744C 'otherwise':952C 'our':864C 'out':856C 'outperforms':127C 'outsource':880C 'over':1616C 'overcome':1448C 'own':991C,1008C 'p':2333C 'page':534C,660C,716C,747C,900C,1985C 'pain':1023C,1285C,1375C,1551C 'past':965C 'pattern':1127C 'patterns':1092C 'pay':1774C 'people':506C 'per':334C 'personality':1436C 'perspective':992C 'photo':689C 'photographer':884C 'photography':681C 'photos':1120C 'place':1660C 'point':1139C,1249C,1286C 'points':133C,427C,665C,1024C,1369C,1376C,1459C,1463C,1552C,1750C,2011C,2258C 'positioning':851C 'post':2022C 'post-purchase':2021C 'potential':1198C 'pour':200C 'ppc':2350 'practices':20B,380C,2291C 'preempt':1507C 'pricing':557C,672C,2015C 'primary':42B,88C,430C,502C,635C,644C,724C,886C,915C,938C,1872C,1959C,1969C,2075C,2112C 'principle':2163C 'problem':153C,211C,451C,546C,590C,678C,682C,1716C,1780C,1787C,2006C,2067C,2077C,2085C 'problems':1715C 'process':1055C 'produce':859C 'produced':399C 'product':152C,450C,581C,586C,719C,736C,763C,772C,899C,1012C,1041C,1051C,1272C,1522C,1571C,1596C,1614C,1724C,1735C,1754C,1783C,1797C,1832C,1855C,1877C,1917C,2029C,2089C,2266C,2316C 'product-level':1854C 'products':195C 'profit':2321C 'promise':1751C,2035C 'promotion':245C 'proof':1483C 'provides':1481C 'pull':1072C,2226C 'purchase':2023C 'quality':1144C,1801C 'quantity':791C 'queries':1261C 'question':684C,692C,1233C 'randomly':87C,605C 'rarely':629C 'rate':73C,94C,97C,139C,166C,326C,438C,446C,525C,560C,569C,1417C,1441C,1685C,1704C,1847C,1897C,1950C,1981C,1997C,2020C,2039C,2088C,2285C 'rates':10A,813C,1603C 'rating':121C,1028C,2274C 'read':1082C,1205C,1299C,2238C 'reading':1456C 'real':38B,210C,409C,1232C,1580C 'reality':1765C 'reason':412C,833C 'redesign':440C,2043C 'reduce':1814C 'reduces':1488C 'reducing':1667C 'regardless':2167C 'reinforced':1155C 'reinforcing':1626C 'relevant':1378C 'remaining':1450C 'repeated':1090C,2252C 'results':513C,715C,829C,1953C 'return':96C,138C,445C,559C,568C,812C,1602C,1684C,1703C,1846C,1896C,2019C,2038C,2087C 'returns':1494C,1776C,1812C 'review':624C,1081C,2247C 'reviews':1058C,1069C,1071C,1208C,1256C,1300C,1339C,1471C,1557C,1779C,2229C 'rewrite':425C,2255C 'rich':1744C 'root':1902C,1913C 'roughly':727C 'run':192C,924C,2310C 's':113C,908C,978C,1313C,1407C,1412C,1526C,2034C,2143C,2267C 'sale':1994C 'sales':181C,302C,615C 'same':185C,396C,1036C,1099C,1109C,1207C,1224C,1265C,2066C,2166C 'saw':287C 'say':2300C 'scale':785C,798C,1838C,2169C 'scaled':331C 'scout':1310C 'seams':1159C 'search':512C,714C,818C,894C,1260C,1320C,1384C,1543C,1952C 'searches':1289C 'searching':1296C 'second':342C,729C,1212C 'see':179C 'sees':650C,712C 'sell':1049C 'sellers':13B,178C,419C,608C,934C,985C,1643C,1699C,2159C 'sequence':405C,476C,500C 'sequential':2072C 'sequentially':85C,606C,2171C 'sets':578C,1593C 'setting':1721C 'shelf':1292C 'shift':208C 'should':1342C,1355C,1370C,1511C,1560C,1606C,1657C 'show':956C,1101C,1576C,1629C,1733C 'showing':1433C 'shows':951C,1887C 'signal':158C,1687C,1697C,1861C 'signaling':448C 'significance':932C 'simultaneously':1190C,2126C 'single':638C 'size':790C 'sizing':1115C 'so':1230C 'solo':2158C 'solution':2268C 'solves':1875C 'some':1769C,2017C 'someone':1268C,1288C 'something':1752C 'specific':474C,1153C,1447C,1609C,1664C,1669C,2315C 'specifically':872C 'specs':998C 'spend':80C,173C,278C,309C 'sponsored':194C 'stacked':721C 'stand':855C 'star':1075C,1077C,1080C,2241C,2243C,2246C 'start':1332C,1336C,1403C,2105C 'starting':1248C 'starts':385C 'statistical':931C 'step':481C 'stitched':1158C 'stitching':1164C,1628C,1636C 'strategic':1498C 'strategy':1341C 'struggling':300C 'studio':869C 'sturdier':1739C 'success':2331C 'suggestions':1413C 'supporting':1244C 'system':623C 'systematic':382C 'tail':1390C 'takeaways':55C 'tell':594C,2185C 'telling':1183C 'tells':1955C,1987C,2025C 'terms':1324C,1385C 'test':913C,918C,926C,936C,2099C,2123C 'testing':1874C 'than':272C,1745C,1772C,2156C,2287C 'that':51B,154C,281C,384C,398C,400C,418C,761C,1048C,1149C,1270C,1303C,1328C,1491C,1546C,1635C,1736C,1878C,1975C,2054C,2058C,2149C,2326C 'the':23B,37B,49B,103C,120C,142C,184C,189C,206C,209C,258C,305C,316C,319C,324C,329C,344C,353C,364C,387C,395C,403C,408C,411C,421C,429C,444C,464C,486C,499C,545C,549C,572C,576C,580C,585C,589C,617C,626C,637C,683C,691C,698C,735C,743C,746C,765C,771C,787C,803C,817C,826C,846C,893C,898C,901C,925C,947C,970C,976C,1011C,1015C,1027C,1035C,1046C,1050C,1054C,1060C,1085C,1098C,1108C,1126C,1152C,1166C,1180C,1194C,1206C,1223C,1231C,1247C,1250C,1264C,1277C,1284C,1334C,1338C,1349C,1357C,1387C,1397C,1405C,1410C,1449C,1457C,1461C,1465C,1472C,1489C,1497C,1508C,1550C,1562C,1584C,1595C,1608C,1622C,1627C,1640C,1686C,1695C,1707C,1723C,1753C,1758C,1762C,1782C,1786C,1796C,1831C,1837C,1849C,1885C,1891C,1901C,1905C,1912C,1916C,1923C,1972C,1983C,1990C,1993C,2005C,2028C,2032C,2065C,2068C,2107C,2162C,2165C,2173C,2183C,2190C,2200C,2207C,2212C,2227C,2231C,2249C,2273C,2301C,2311C,2347C 'their':15B,434C,937C,990C,1007C,1070C,1255C,1259C 'them':1083C,1096C,1326C,1534C,1815C,1829C 'then':92C,95C,2115C,2119C,2254C 'theoretical':285C 'these':591C,1323C,2136C 'they':187C,424C,439C,456C,530C,565C,794C,941C,993C,996C,999C,1002C,1203C,1241C,1294C,1298C 'thing':186C,2177C,2192C 'things':733C,1189C,1681C 'think':224C,706C,942C 'thinking':1499C 'this':226C,519C,673C,688C,695C,837C,874C,959C,1025C,1171C,1185C,1394C,1728C,1788C,1834C,1888C,1954C,1986C,2024C,2195C,2222C,2269C 'those':1679C,2262C 'three':592C,732C,1937C 'threshold':144C,574C,1851C 'through':362C,437C,863C,1792C,1949C,2141C 'time':135C,923C,2104C,2180C 'title':1354C 'to':2A,33B,45B,48B,125C,296C,308C,332C,359C,598C,730C,825C,834C,854C,879C,881C,929C,1032C,1087C,1178C,1373C,1427C,1493C,1542C,1549C,1764C,1767C,1773C,1843C,1883C,1927C,1939C,2097C,2193C,2259C,2277C,2299C,2309C 'together':722C 'told':2304C 'too':877C 'tool':902C,1411C,1443C,1575C 'tools':1305C,1335C,1347C 'top':804C,1061C,1466C,2232C 'touching':1977C 'track':2135C 'tracking':2152C 'traffic':65C,204C,215C,236C,349C,2204C 'treating':1649C 'try':2341C 'two':1188C,1275C,1680C,1714C,1781C 'underdelivers':1799C 'underperforming':267C 'understanding':844C,1009C 'understands':789C 'up':1102C,1601C,1633C 'upfront':1771C 'use':29B,368C,469C,1039C,1253C,1325C,1346C,1564C,1589C,2093C 'used':1583C 'uses':1276C 'using':1107C 'usually':612C 'validate':1319C 'variable':423C,611C 'variations':1391C 'version':2063C 'visitors':527C 'visual':814C,1482C 'visualize':1607C 'visuals':862C 'volume':1321C,1360C 'walk':360C 'want':1882C,2308C 'was':307C,346C,351C 'wasted':495C 'wasting':270C 'way':1351C,1585C 'we':28B,286C,314C,322C,367C,468C,858C,888C,1017C,1161C,1893C,1907C,1918C,2134C,2318C 'week':2196C,2223C 'well':1529C 'well-built':1528C 'were':303C 'what':355C,564C,708C,734C,757C,770C,775C,793C,845C,958C,1177C,1235C,1746C,2132C,2187C,2298C 'whatever':1123C 'when':257C,428C,443C,614C,962C,1267C,1287C,1830C,1895C,1911C 'where':406C,597C,630C,1401C,1836C 'whether':647C,1929C 'which':1509C,1599C 'who':294C,1220C 'why':749C 'will':1094C,1128C,1809C,1817C,2129C,2281C 'with':17B,290C,298C,386C,717C,1333C,1337C,1377C,1404C,1637C,1645C,1821C,1852C,2080C,2106C,2146C,2264C 'within':318C 'words':1047C,1251C,1266C,1408C 'worked':2133C 'working':1933C,1946C,2189C 'works':393C,1043C,1961C 'worth':752C 'would':1588C 'woven':1380C 'write':107C,986C,1018C 'writing':973C,1045C,1222C 'wrong':422C 'you':237C,263C,268C,277C,361C,595C,631C,830C,903C,957C,963C,1093C,1132C,1173C,1184C,1209C,1318C,1345C,1402C,1553C,1620C,1710C,1816C,1934C,1956C,1988C,2026C,2045C,2128C,2186C,2210C,2219C,2294C,2305C,2307C,2339C 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With?",{"slug":68,"title":69,"published_at":17},"amazon-ppc-basics-first-ad-guide","Amazon PPC for New Sellers: How to Think About Advertising as One of 5 Traffic Channels"]