Review crawling: a must-have for today's marketers, and how to use it the right way, A to Z

This article is for
- Those interested in brand/agency marketersreview-data analysis
- Practitioners who want to quantitatively manageperformance metrics based on the voice of the customer- Those who want to monitor reviews across
various countries and platforms to break into global marketsAre you still searching for and reading through review data yourself?

Or do you want to know the most efficient way to make use of all that piled-up review data?
The main pain point of review analysis lies in the fact that customer feedback is a

qualitative metric.Imagine gathering in one place all of the millions of reviews that mention your product, at home and abroad,
and being able to break them into categories and turn them into statistics
like taste, packaging, color, and delivery.In fact, driven by this very demand, inquiries about review-analysis AI have surged 400% over the past three months

.In this article, we'd like to share the insights gained in the course of these vivid projects.We'll explain why crawling is necessary and
how you can make use of the crawled data
.At the end of the article, we'll also introduce how to build a custom review-crawling AI tool

, so don't miss out—be sure to read all the way through!<CONTENTS>1. Why

crawling is essential
for review analysis2. How to use crawled data from product-mall purchase reviews
3. How to use crawled data from social media reviews1. Why crawling is essential for review analysis
First, let's explain why you should analyze reviews and why data crawling is necessary!Unified management across domestic and global platformsRegardless of country or platform, you can consolidate and manage all review data that mentions your product in one place.

Quantifying qualitative customer insights

You can extract the qualitative emotions and keywords contained in reviews and turn them into statistics.

• Without missing any insights, you can build a refined product strategy based on objective criteria.

  • Systematizing performance management

• By quantitatively analyzing VoC (the voice of the customer), you can systematically manage your KPIs (performance metrics).

  • Efficient use of resources

  • Reading through a vast number of reviews one by one is time- and labor-intensive.

• Through crawling, you can extract quantitative insights from countless reviews with far fewer resources, and even automatically secure statistical metrics.

  • Real-time monitoring

• You can monitor 24/7, 365 days a year, and respond quickly.

  • Both brand marketers and ad agencies

  • can streamline their work and gain insights through such crawling and AI tools.

• Below is an example image of crawled review data

  • analyzed with AI

.Using NLP (natural language processing) technology, it not only
analyzes positive/negative sentiment and turns it into statistics, but also classifies and analyzes by various categories

• such as packaging, contents, delivery, and price—telling you which topic that sentiment is about.In addition, within each category it can extract frequently mentioned keywordsto derive insights.Even when a single post mixes multiple positive and negative remarks, wouldn't it be great to

• also organize and visualize the original textso you can easily grasp which topic each one is about?2. Using crawled data from 'product-mall purchase reviews'

• 'Product-mall purchase review' crawling is a method that automatically collects and analyzes product purchase reviews written on domestic and global e-commerce platforms.

It is the most important kind, because it's not only

direct feedback from customers, but also reviews that are directly exposed to potential customers.Automatic category classification and quantificationIt automatically categorizes

• reviews and can aggregate metrics by element such as 'quality,' 'delivery,' 'price,' and 'packaging.'

  • You can check, as quantitative data, where customer satisfaction is high and, conversely, which parts are problematic.

  • Real-time monitoringYou can check in real time

• situations where new reviews or specific keywords spike.

  • For example, if negative reviewssuch as delivery problems suddenly increase, your CS (customer service) department can respond immediately to prevent complaints from spreading.

  • Global data integrationYou can also automatically collect reviews from major overseas e-commerce platforms and manage them in a single database

• through

  • multilingual translation.You can see at a glance the problems commonly raised across multiple countries, or the special requirements unique to a specific region.3. Using crawled data from 'social media reviews''Social media review' crawling is a method that collects

  • reviews scattered across various social media

such as blogs, cafes, personal SNS, and video platforms. They aren't as direct as purchase reviews on a product mall, but there are many more

free and honest reactions, providing rich insights for product improvement and marketing.Global expansion strategyBy integrating and analyzing mentions on overseas SNS as well, you can build a country-by-country marketing strategy

• .

  • For example, if the North American market frequently mentions 'value for money' while the European market emphasizes 'eco-friendly packaging,' you can adjust your campaign messages to fit each market's needs.Real-time tracking across various platformsBy running automatic crawling tailored to

  • each different SNS structure or format

• , you can gather every post that mentions your brand without missing any.

  • It instantly adapts

  • even to platform updates or structural changes, preventing data gaps.Issue detection and crisis responseIf mentions surge after an influencer uses your product or after unintended TV exposure, you can respond by

• quickly detecting it and leveraging it for promotion

  • .If negative mentions spike rapidly on SNS outside product malls, you can respond quickly to reduce the risk of damage to your brand image

  • .Trend analysis and competitor comparisonBy visualizing mention-volume trends over time, you can grasp

• trend shifts

  • at a glance.If you also track mentions of competitor brands

  • , you can more easily find your brand's relative position in the market and its points of differentiation.In closing

The reviews consumers leave are among the

most honest and vivid feedback there is.By leveraging crawling and AI technology, you can gather this vast amount of data quickly and accurately,
quantify key insights, and use them systematically.
From product strategy to CS response, competitor comparison, and global expansion
…Review crawling and AI analysis
are already cited by many marketers as an "indispensable must-have weapon."Starting now, adopt a
custom AI solutionandbuild a successful marketing strategy!
At Dalpha, through 1:1 consulting,

we plan and build review-crawling and AI data-analysis tools
specialized for each company and product.If you're curious about a
free consultation, reach out anytime!

Inquire about a review-analysis AI solution