{ "schemaVersion": "supplymo.1688-title-stuffing-evidence.v1", "studyId": "2026-08-12-1688-title-stuffing", "collectedOn": "2026-08-12", "publishedOn": "2026-09-01", "evidenceVersion": 1, "citableSentence": "In a Supplymo non-random sample of 120 first-page API result rows from 12 selected English searches on 1688, 72 subjectTrans title fields repeated the same English token at least three times; all 120 returned zero CJK characters, a character-residue check that does not assess translation accuracy or fluency.", "provenance": { "publisher": "Supplymo", "sourceAggregateFormat": "Local read-only API sample (JSON, repository-tracked)", "sourceAggregateSha256": "46fb7904f2e856149adb6c7628f05950d4f733628d9137d6b34ee338790d2e96", "samplingScript": "scripts/research/sample-1688-listing-quality.mjs", "sanitization": "No supplier identity and no title text is present in this file or in the raw sample. Title metrics are computed at sampling time and the titles themselves are never written to disk, because titles can contain brand and shop names. Offer IDs are held in the raw sample for ambiguity diagnosis and are not published here.", "internalDistinctOfferCount": 120, "namedAuthor": "Liam Cai", "namedReviewer": null, "figureVerification": "Every published count is automatically recomputed from the 120 sanitized rows and checked against the repository-tracked raw-sample hash. The raw sample contains 120 distinct offer IDs for internal duplicate diagnosis; those IDs are not published. No independent human reviewer is claimed.", "attributionNote": "The public page is authored by Liam Cai. Figures are deterministically recomputed and source-hash checked; no independent human reviewer is claimed." }, "methodology": { "sourceApi": "com.alibaba.fenxiao.crossborder:product.search.keywordQuery (read-only)", "officialSources": [ { "title": "1688 multilingual keyword-search API", "url": "https://open.1688.com/api/apidocdetail.htm?id=com.alibaba.fenxiao.crossborder%3Aproduct.search.keywordQuery-1", "supports": "The official response schema labels subject as the Chinese title and subjectTrans as the foreign-language title. It does not identify who authored the wording, how it was translated, or what any rendered interface displayed." } ], "platform": "1688 multilingual cross-border keyword-search API", "observationUnit": "One first-page API result row. The internal raw sample contains 120 distinct offer IDs across 120 rows, but no seller identity; the public evidence therefore cannot be de-duplicated by shop.", "samplingFrame": "12 English keyword searches on the cross-border distribution channel, first results page only, 10 platform-ranked rows per keyword. The same 12 keywords as the seller-score and sales-concentration studies.", "signalFields": [ "subject (labelled Chinese title in the official response schema)", "subjectTrans (labelled foreign-language title in the official response schema)" ], "collectionWindow": "Single day, 2026-08-12 in China", "writeOperations": "None. No order, payment, enquiry, messaging or logistics endpoint was called.", "ambiguityChecks": [ { "question": "Is a repeated token really stuffing, or a legitimate multi-use product name?", "method": "A word like 'pill' can repeat honestly in 'pill cutter and pill box'. Rather than judging intent, publish the repeat counts at two thresholds and per row, so a reader can apply a stricter cut.", "result": "72 of 120 titles repeat a token at least 3 times and 31 at least 4 times, with a maximum of 6. Per-row maximum repeat counts are in the rows array.", "conclusion": "Reported as observed frequency at stated thresholds, not as a judgement of intent, authorship, search strategy or title quality." }, { "question": "Does zero CJK residue establish translation quality?", "method": "Count CJK characters in every returned subjectTrans value as a narrow character-residue check.", "result": "120 of 120 returned subjectTrans fields contain zero CJK characters.", "conclusion": "No. This rules out only CJK-character residue in this draw. It does not assess translation accuracy, completeness, fluency or rendered-page copy." }, { "question": "Does the English-to-Chinese length ratio show bloat?", "method": "Character counts across writing systems are not comparable, since one Chinese character carries roughly a word's worth of meaning.", "result": "The median ratio is 4 English characters per Chinese character, which is within the range expected from script density alone.", "conclusion": "Length figures are published as description only and no bloat claim is made from them." }, { "question": "How is a token defined, so the counts can be re-derived?", "method": "Lowercase the title, strip everything except letters, digits, spaces and hyphens, split on whitespace, keep tokens longer than 2 characters. The sampling script is repository-tracked.", "result": "Definition applied identically to all 120 titles at sampling time.", "conclusion": "Anyone re-running the public sampling script against the live API can reproduce the metric definition exactly." } ], "fieldDictionary": { "keyword": "The English search term the listing was found under. Not a platform category.", "rankPosition": "The listing's position on the first results page as served by the API, from 1 to 10.", "chineseTitleReturned": "Whether the subject key was present in the search row.", "englishTitleReturned": "Whether the subjectTrans key was present in the search row.", "chineseTitleChars": "Character count of the API-returned subject field, labelled Chinese title in the official schema.", "englishTitleChars": "Character count of the API-returned subjectTrans field, labelled foreign-language title in the official schema.", "leftoverChineseChars": "Count of CJK characters inside the returned subjectTrans field. This field did not vary in the draw: every row returned 0. This does not assess translation accuracy, completeness or fluency.", "englishTokenCount": "Number of tokens longer than 2 characters in the English title, under the tokenisation stated in the methodology.", "maxSameTokenRepeats": "The highest number of times any single token repeats within the returned subjectTrans field. The thresholds are descriptive and do not judge intent.", "allCapsTokenCount": "Count of all-uppercase tokens of 3+ letters in the English title, for example LED or USB. Descriptive only." } }, "limitations": [ "This is not a random sample. Rows come from the first page of a keyword search, which the platform ranks. Highly ranked listings may be optimised harder than average, in either direction.", "Title text is deliberately not published, because titles can contain brand and shop names. A reader can verify the metric definitions and re-run the repository-tracked sampling script, but cannot re-derive the counts from this file alone.", "A repeated token is not proof of bad faith, keyword stuffing, authorship or search strategy. The study reports a token-frequency threshold and does not infer why the wording occurred.", "Zero CJK characters is a narrow residue check. It does not establish that a translation was accurate, complete, fluent or suitable for buyers, and the official schema does not identify the translation process.", "Character counts across writing systems are not comparable and the length figures are description, not a bloat claim.", "The 12 keywords are ordinary consumer goods in English. Categories with regulated or technical naming may title differently and are not represented here.", "Single day of collection. Titles change, and no trend is claimed from one observation.", "The 120 rows correspond to 120 distinct offer IDs in the internal raw sample, but they are not 120 distinct suppliers. Seller identity is deliberately not collected, so the sample cannot be de-duplicated by shop and one seller may appear more than once.", "Nothing here says a platform or seller has done anything wrong. The study measures fields returned by one read-only API; it does not establish what a rendered website or app showed, who authored the title, how the wording was produced, or how buyers interpreted it." ], "summary": { "listingCount": 120, "keywordCount": 12, "detailCallFailures": 0, "listingsWhereEnglishTitleReturned": 120, "listingsWhereChineseTitleReturned": 120, "titlesWithZeroLeftoverChinese": 120, "titlesWithLeftoverChinese": 0, "titlesRepeatingSameTokenAtLeast3x": 72, "titlesRepeatingSameTokenAtLeast4x": 31, "maxSameTokenRepeatsObserved": 6, "medianMaxSameTokenRepeats": 3, "medianEnglishTitleChars": 124, "medianChineseTitleChars": 31, "medianEnglishToChineseCharRatio": 4, "titlesWithAllCapsTokens": 17, "byKeyword": { "storage box": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 125.5 }, "phone case": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 1, "medianEnglishTitleChars": 122.5 }, "kids toy": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 3, "medianEnglishTitleChars": 116 }, "led lamp": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 5, "medianEnglishTitleChars": 131.5 }, "tote bag": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 126 }, "ceramic mug": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 113.5 }, "hair clip": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 9, "medianEnglishTitleChars": 114 }, "pet bed": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 9, "medianEnglishTitleChars": 119 }, "kitchen utensil": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 118.5 }, "desk lamp": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 133 }, "silk scarf": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 7, "medianEnglishTitleChars": 127 }, "keychain": { "listings": 10, "titlesRepeatingTokenAtLeast3x": 3, "medianEnglishTitleChars": 119.5 } } }, "rows": [ { "keyword": "storage box", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 120, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 134, "leftoverChineseChars": 0, "englishTokenCount": 19, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 142, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 108, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 131, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 118, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 28, "englishTitleChars": 106, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 132, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "storage box", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 107, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 3, "allCapsTokenCount": 1 }, { "keyword": "storage box", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 152, "leftoverChineseChars": 0, "englishTokenCount": 22, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 39, "englishTitleChars": 101, "leftoverChineseChars": 0, "englishTokenCount": 13, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 40, "englishTitleChars": 133, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 42, "englishTitleChars": 94, "leftoverChineseChars": 0, "englishTokenCount": 11, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 38, "englishTitleChars": 126, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 40, "englishTitleChars": 128, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 42, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 40, "englishTitleChars": 102, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 39, "englishTitleChars": 132, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 39, "englishTitleChars": 123, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "phone case", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 41, "englishTitleChars": 122, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 119, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 105, "leftoverChineseChars": 0, "englishTokenCount": 13, "maxSameTokenRepeats": 2, "allCapsTokenCount": 1 }, { "keyword": "kids toy", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 126, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 111, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 34, "englishTitleChars": 144, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 109, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 131, "leftoverChineseChars": 0, "englishTokenCount": 19, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "kids toy", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 140, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 111, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 148, "leftoverChineseChars": 0, "englishTokenCount": 20, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 137, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 2, "allCapsTokenCount": 1 }, { "keyword": "led lamp", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 173, "leftoverChineseChars": 0, "englishTokenCount": 22, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 131, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 1, "allCapsTokenCount": 0 }, { "keyword": "led lamp", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 117, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 4, "allCapsTokenCount": 1 }, { "keyword": "led lamp", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 34, "englishTitleChars": 106, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 3, "allCapsTokenCount": 1 }, { "keyword": "led lamp", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 132, "leftoverChineseChars": 0, "englishTokenCount": 19, "maxSameTokenRepeats": 5, "allCapsTokenCount": 1 }, { "keyword": "tote bag", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 124, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 119, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 148, "leftoverChineseChars": 0, "englishTokenCount": 24, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 111, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 133, "leftoverChineseChars": 0, "englishTokenCount": 20, "maxSameTokenRepeats": 5, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 31, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 129, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 26, "englishTitleChars": 117, "leftoverChineseChars": 0, "englishTokenCount": 15, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 28, "englishTitleChars": 141, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "tote bag", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 128, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 132, "leftoverChineseChars": 0, "englishTokenCount": 20, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 2, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 111, "leftoverChineseChars": 0, "englishTokenCount": 18, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 3, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 29, "englishTitleChars": 129, "leftoverChineseChars": 0, "englishTokenCount": 19, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 4, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 33, "englishTitleChars": 110, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 5, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 116, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 6, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 128, "leftoverChineseChars": 0, "englishTokenCount": 17, "maxSameTokenRepeats": 4, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 7, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 98, "leftoverChineseChars": 0, "englishTokenCount": 19, "maxSameTokenRepeats": 6, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 8, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 32, "englishTitleChars": 106, "leftoverChineseChars": 0, "englishTokenCount": 16, "maxSameTokenRepeats": 2, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 9, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 28, "englishTitleChars": 127, "leftoverChineseChars": 0, "englishTokenCount": 21, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "ceramic mug", "rankPosition": 10, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 26, "englishTitleChars": 83, "leftoverChineseChars": 0, "englishTokenCount": 14, "maxSameTokenRepeats": 3, "allCapsTokenCount": 0 }, { "keyword": "hair clip", "rankPosition": 1, "chineseTitleReturned": true, "englishTitleReturned": true, "chineseTitleChars": 30, "englishTitleChars": 129, "leftoverChineseChars": 0, 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