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Almost big companies are proactive in researching and practicing data mining to solve a lot of problems in business, such as Coca in customer acquisition and retention, Netflix in targeted adverts, UOB Banks from Singapore in risk management, Amazon in driving innovation for Amazon fresh & Whole foods project, PepsiCo in supply chain management. Meanwhile, many small companies, especcially small online retailers, are lack of knowledge and expertise to apply data mining in finding out solutions which can help to improve their business results. This article uses data mining techniques to segment customers of an online retailer. The main purpose of these techniques is to help the business understand its customers better, therefore, it can choose the marketing strategy more effectively. The Agglomerative Clustering algorithm is used to segment 3813 instances from the target data set based on four variables as First_Purchase, Recency, Frequency, Monetary into four groups. On that basis, this research shows the main characteristics of each segment, and some recommendations are proposed for the marketing strategy of business.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-12-24 | Trần Ánh Vy | 73 | view |
| 2024-11-18 | Thai Tran | 84 | view |
| 2024-11-16 | Trần Ánh Vy | 10 | view |
| 2024-10-17 | dusdbv3 | view | |
| 2024-10-08 | vidung | 90 | view |
Grammar and spelling errors:
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Suggestion:
...ally small online retailers, are lack of knowledge and expertise to apply data mi...
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Line 1, column 563, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
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...ove their business results. This article uses data mining techniques to segment c...
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Message: Possible typo: you repeated a whitespace
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...for the marketing strategy of business.
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Transition Words or Phrases used:
first, so, therefore, while, such as
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 5.0 13.1623246493 38% => More to be verbs wanted.
Auxiliary verbs: 2.0 7.85571142285 25% => OK
Conjunction : 4.0 10.4138276553 38% => More conjunction wanted.
Relative clauses : 2.0 7.30460921844 27% => More relative clauses wanted.
Pronoun: 7.0 24.0651302605 29% => OK
Preposition: 26.0 41.998997996 62% => OK
Nominalization: 8.0 8.3376753507 96% => OK
Performance on vocabulary words:
No of characters: 966.0 1615.20841683 60% => More number of characters wanted.
No of words: 170.0 315.596192385 54% => More content wanted.
Chars per words: 5.68235294118 5.12529762239 111% => OK
Fourth root words length: 3.61087313685 4.20363070211 86% => OK
Word Length SD: 3.12969868365 2.80592935109 112% => OK
Unique words: 119.0 176.041082164 68% => More unique words wanted.
Unique words percentage: 0.7 0.561755894193 125% => OK
syllable_count: 303.3 506.74238477 60% => syllable counts are too short.
avg_syllables_per_word: 1.8 1.60771543086 112% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 5.43587174349 55% => OK
Article: 2.0 2.52805611222 79% => OK
Subordination: 0.0 2.10420841683 0% => More adverbial clause wanted.
Conjunction: 1.0 0.809619238477 124% => OK
Preposition: 1.0 4.76152304609 21% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 6.0 16.0721442886 37% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 28.0 20.2975951904 138% => The Avg. Sentence Length is relatively long.
Sentence length SD: 79.6375469794 49.4020404114 161% => OK
Chars per sentence: 161.0 106.682146367 151% => OK
Words per sentence: 28.3333333333 20.7667163134 136% => OK
Discourse Markers: 6.0 7.06120827912 85% => OK
Paragraphs: 1.0 4.38176352705 23% => More paragraphs wanted.
Language errors: 3.0 5.01903807615 60% => OK
Sentences with positive sentiment : 3.0 8.67935871743 35% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 3.9879759519 0% => More negative sentences wanted.
Sentences with neutral sentiment: 3.0 3.4128256513 88% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0 0.244688304435 0% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0 0.084324248473 0% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0 0.0667982634062 0% => Sentences are similar to each other.
Paragraph topic coherence: 0.0 0.151304729494 0% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0 0.056905535591 0% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 19.5 13.0946893788 149% => OK
flesch_reading_ease: 26.14 50.2224549098 52% => Flesch_reading_ease is low.
smog_index: 8.8 7.44779559118 118% => OK
flesch_kincaid_grade: 16.6 11.3001002004 147% => OK
coleman_liau_index: 15.96 12.4159519038 129% => OK
dale_chall_readability_score: 11.16 8.58950901804 130% => OK
difficult_words: 66.0 78.4519038076 84% => More difficult words wanted.
linsear_write_formula: 14.0 9.78957915832 143% => OK
gunning_fog: 13.2 10.1190380762 130% => OK
text_standard: 14.0 10.7795591182 130% => OK
What are above readability scores?
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Minimum 250 words wanted.
Minimum four paragraphs wanted.
It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 11.2359550562 out of 100
Scores by essay e-grader: 1.0 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.