Myntra Private Label Sentiment Analysis Case Study  Actowiz Solutions
                     Myntra Private Label Sentiment Analysis Case Study | Actowiz 
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Benefits
Executive Summary
The "Private Label Paradox" suggests that while consumers are drawn to store 
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
The Specific Goals included:
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Gender-Based Divergence: Do men care more about durability 
(Roadster/Mast & Harbour) while women focus on fabric feel and fit 
accuracy (Anouk/Dressberry)?
Brand-National Comparison: Extracting mentions of national brands 
within Myntra reviews to see which competitors are winning back the 
customer.
The Actowiz Solutions Process
Step 1: Intelligent Data Collection (Web Scraping)
Actowiz utilized custom scrapers to extract verified purchase reviews. Unlike 
standard scrapers, our tool captured:
InIntroductiRevtierwoerd Huistcortyi: o(Wnhere available) to identify repeat vs. one-time buyers.
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Step 3: Sentiment & Emotion Analysis
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Joy/Surprise: Related to the value-for-money proposition (The "Trial Phase").
Sample Data Presentation
This is how your final dataset from Actowiz Solutions will look, formatted for 
easy import into PowerBI or Tableau:
National 
Brand Category Review Sentiment Primary Aspect Brand 
Snippet Emotion (Trigger)
Mentioned?
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Estimated Quote & Timeline
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Service Component Description Estimated Timeline
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Benefits High-fidelity scraping of 60k Data Extraction 3-5 Business DaysMyntra reviews (4 brands).
Removal of duplicates, bot 
Data Cleaning 2-3 Business Days
reviews, and "shallow" text.
Applying NLP models for 
Sentiment/Emotion AI Sentiment, Emotion, and Aspect. 5-7 Business Days
PDF/PPT summarizing the 
Executive Report "Switching Triggers" & 3 Business Days
recommendations.
Pricing Model: We offer a Fixed-Project Fee for this scope. This includes the 
raw data (CSV/JSON), the analyzed sentiment tags, and a 
visualization dashboard.
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
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Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for 
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indfoartma,a toiffone.ring insights into the broader market's pricing landscape. Such price intelligence 
empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit 
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troepntdims, itzhaitsi ognu iadned w siolll isdeifirvees a sr eytoauilre cr'osm ppoassitsio in itnh eth weo fireldr coefl yd actoam epxetrtaitcivtieo ne.Commerce arena.
We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to 
provide you with rich, real-time restaurant data. From scraping restaurant details to 
accessing customer reviews, our detailed guide ensures that you harness the full potential of 
this resource.