Advertisements [adrotate group="1"]

E-Commerce Review Sentiment Data

E-Commerce Review Sentiment Data

Discover how brands use review sentiment to align influencer messaging with customer emotions.

Table Of Contents

Shaping Influencer Campaigns Using Sentiment from E-Commerce Reviews

banner

Business Challenge

Business-Challenge

A fast-scaling D2C beauty and fashion brand spent lakhs on influencer campaigns—but wasn’t getting expected ROI.

Their pain points:

  • Influencer content was misaligned with what customers really valued.
  • Negative reviews surfaced shortly after campaigns launched.
  • Product features promoted by influencers often mismatched customer experience.

“We need to stop pushing talking points and start amplifying what real users actually say.”

The brand partnered with Datazivot for E-Commerce Reviews Scraping to analyze customer feedback from Amazon, Flipkart, and Myntra. The insights were used to craft a targeted, data-driven influencer strategy aligned with real consumer sentiments.

Objectives

Objectives

  • Extract real customer sentiment and top-praised product features.
  • Identify key themes and phrases used in positive reviews.
  • Craft influencer briefs using voice-of-customer insights.
  • Flag potential product issues before campaign amplification.
  • Track sentiment shifts before and after campaign drops.

Our Approach

Our-Approach

1. Review Sentiment Mining

We scraped 100K+ reviews across:

  • Amazon – Lipsticks, foundation, skincare combos
  • Myntra – Dresses, tops, shoes
  • Flipkart – Grooming kits, accessories

Captured:

  • Product name, platform, rating
  • Review text, timestamp
  • Sentiment score
  • Keywords and recurring themes

2. Review Language → Influencer Copy Mapping

From highly positive reviews, we extracted:

  • Frequently used adjectives: “lightweight,” “non-sticky,” “perfect shade”
  • Common benefits: “lasts all day,” “blends well,” “true to color”
  • Emotional cues: “felt confident,” “finally found my shade”

These became the foundation for influencer talking points.

3. Issue Detection Before Campaigns

We ran sentiment alerts on target SKUs before campaign launch:

  • Negative review volume
  • Keywords tied to dissatisfaction
  • Pre-launch return patterns

Campaigns were paused or messaging adjusted accordingly.

Sample Insights for Influencer Brief

Sample-Insights-for-Influencer-Brief

Campaign Performance Boost

Campaign-Performance-Boost

1. Higher Engagement & Authenticity

Influencers mirrored exact phrases from reviews:

  • Feels weightless even in humidity”
  • “Finally a kurta that fits perfectly from shoulder to waist”

Followers commented: “Same here!” / “That’s exactly what I thought!”

Result:

  • Engagement up by 34%
  • CTR improved 21%
  • Return rate dropped 17% on featured SKUs

2. Pre-Launch Review Pulse Avoided Backlash

One serum had rising complaints (“smells weird,” “sticky texture”) on Amazon.

Sentiment score dropped to 59%.

Datazivot flagged it, and the influencer campaign was delayed.

Brand reformulated fragrance and relaunched 5 weeks later—positive sentiment rebounded to 80%.

Saved ₹5.2 lakh in potential influencer spend waste.

3. Localized Messaging from Review Regions

Using reviewer locations and language style:

  • South India: Emphasized “no white cast” in sunscreen
  • West India: Highlighted “festive look” in fashion apparel
  • Hindi-speaking regions: Used translated phrases from positive reviews in reels

Regional influencer briefs matched review sentiment — improving local conversions by 26%.

Visual: Sentiment Summary Dashboard (Example)

Visual-Sentiment-Summary-Dashboard-(Example)

Stack Used

Tool Purpose
Scrapy, Selenium Multi-platform review scraping
HuggingFace BERT Sentiment tagging and phrase detection
spaCy Keyword extraction, POS tagging
Google Looker Dashboard and sentiment trend tracking
Slack Integration Daily alerts to brand managers

Impact Summary

Impact-Summary

  • Influencer messaging 100% aligned with real user voice
  • Campaign prep time cut by 30% via auto-generated review briefs
  • Avoided ₹10L+ loss from misaligned influencer campaigns
  • Boosted engagement, lowered returns, improved sentiment

Conclusion

Influencer campaigns shouldn’t be guesswork.

With Datazivot’s sentiment-backed content planning, brands tap into what real users already love—and avoid amplifying what they don’t.

Because the best influencer copy isn’t written in a meeting room. It’s already in your product reviews.

Source : https://www.datazivot.com/influencer-campaigns-sentiment-scrape-ecommerce-reviews-data.php

Data Zivot

Leave a Reply

    © 2024 Crivva - Business Promotion. All rights reserved.