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Customer Sentiment Data Helps Streaming Giant Innovate New Products

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Overview

Customer reviews are a goldmine for customer sentiment analysis. Our client uses this data to gain valuable insights into customer satisfaction, brand sentiment and areas for improvement. Since, they are expanding from streaming into manufacturing, the data is pivotal in identifying product features that their competitors’ customers seem to be unhappy with, and leveraging this to improve upon the same features in their own products.

streaming
Key points
  • One of the largest streaming services, our client is looking to expand into manufacturing.
  • They want to build a complete entertainment ecosystem of their own products — from streaming platform and devices, to TVs, audio systems, and more.
  • To understand how their competitors and their products are performing, they need customer reviews for all major brands from all major ecommerce platforms.
  • Grepsr has been able to provide this data seamlessly, while also enabling them through our data platform to manage important aspects of the process with ease.

Challenges

As an entertainment provider expanding into manufacturing, our client needs in-depth insights into the competitive landscape. Focusing on innovation, quality and customer service is key for them to succeed, and gain inroads into the market.

To achieve their goal, they require competitor data from multiple online sources. While this is already a resource-intensive endeavor, they still need to understand their own products’ Share of Voice (SOV) and compare them with their competitors.

Additionally, to understand customer sentiment around the products and categories they are targeting, they require dramatic volumes of reviews data from all available sources, which poses another significant challenge.

Without a specialized service taking the data extraction aspect off their hands, it is next to impossible for them to take any step forward. This is exactly why the client approached Grepsr.

The Grepsr team has been realy helpful with our data needs. The data has been instrumental in helping us monitor and understand our own products, and the needs of the market, at large. And support is always prompt and responsive!

Dan L. Project Manager

2 M+

Product reviews parsed per month

25 +

Data sources

40 %

Lead time improvement

Solutions

Grepsr provides the client with product reviews data from 26 different marketplaces, including their regional variants.

For each data source and product category, Grepsr sets up crawlers to extract specific data fields. The client has access to Grepsr’s data management platform, where they have control over various facets of the data ingestion process — scheduling, data quality monitoring, alerts and notification, delivery destinations, and more.

Using the scheduler to automate hourly crawls, the client maintains an up-to-date reviews database to ensure they understand real-time market sentiment.

The client uses the data to isolate product features from each review text, and understand the sentiment around each feature — positive, negative or neutral. This insight has been pivotal for them to gauge the market, and build products that are able to compete with big brands right from the outset.

Ultimately, the client aims to build a complete entertainment ecosystem of their own products. Thanks to Grepsr, they’re well on the way to doing just that!

solution-illustration

Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

PROCESS

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the data sourcing heavy lifting to us, so you can focus on innovation and growth.

1

Initial project consultation

First, we'll discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successful project execution.

2

Instrument web crawlers

We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.

3

Begin data collection

Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.

4

Hassle-free maintenance

Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.

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Customer Stories

Shaping a prosperous future with data-driven decisions

streaming
Broadcast Media | Consumer Electronics

Customer Sentiment Analysis to Build Better Products and Establish New Revenue Channels

Grepsr’s data solutions empower a video streaming leader to expand into manufacturing, and disrupt the market

Read More
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