Otto Monitor

Daily Clipping

It selects the key articles or content collected from news and social media according to agreed criteria and sends a daily email at the scheduled time.

Content selection can be handled by industry-specific specialists or AI, and the results can be delivered in a predefined format.

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Daily Clipping Overview

It is important to identify the core developments your business needs quickly and accurately amid the flood of information that arrives every morning. But searching related news and social media, selecting important articles, and reporting them with limited people and time creates a heavy burden for many companies.

Monitor Wizard's Daily Clipping service automates this repetitive information-gathering work so teams can focus on higher-value judgment and strategic analysis.

Real-world use cases

Case 1

Improving daily monitoring and executive reporting efficiency

Background

Company A summarized and reported key trends related to itself, competitors, and the industry to executives every day at 8 a.m.

The team manually searched portal sites every morning using more than 20 core keywords, checked articles one by one, and selected what to report. Copying the selected stories into the email body and editing the report alone took an average of three to four hours every day.

To meet the reporting deadline, three employees had to rotate into work as early as 6 a.m., making excessive workload and inefficiency a chronic problem.

Solution and outcomes

After adopting Monitor Wizard, the company registered keywords by company, competitor, and industry category so that all relevant news could be collected automatically around the clock.

Staff no longer needed to come in at dawn. Instead, they could review the collected article list on a tablet while commuting to work.

When the user clicked and selected the articles to report, the email report was generated automatically in the configured format. The full process, from article selection to email drafting, was shortened to less than one hour per day, significantly improving both team efficiency and job satisfaction.

Case 2

Monitoring negative social-media issues and responding to risk

Background

To manage corporate reputation online, Company B manually checked social-media reactions related to its company and products three times a day at 9 a.m., 1 p.m., and 5 p.m.

The person in charge had to visit multiple channels directly, including Naver blogs and cafés, YouTube, major communities, and Instagram, to search keywords. Finding negative posts among large volumes of content and copying them one by one into email reports took 30 minutes to an hour each time.

Because monitoring had to be done at fixed times while other important work was in progress, work frequently got interrupted and overall efficiency fell.

Solution and outcomes

After adopting Monitor Wizard, once the social keywords to monitor were registered, content from multiple channels began to be collected automatically in the system.

The biggest change was that AI automatically performed the first-pass positive and negative sentiment classification on the content.

Instead of reading every post, the person in charge could focus only on the list classified as negative by AI. Clicking the items to report generated the email report immediately, cutting work that used to take more than 30 minutes each time down to roughly 10 to 20 minutes.

Key features that enable Daily Clipping

Data Collection

Monitor Wizard collects keyword-based data from more than 3,000 news outlets including Naver and Daum, as well as searchable major social-media channels such as blogs, cafés, communities, YouTube, and Instagram.

Through a proven system, it supports either real-time crawling or scheduled crawling up to five times a day depending on client needs, and it also supports stable historical-data collection for trend analysis.

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Other searchablefully customizable media sources

Data Management

Collected raw data is first cleaned through excluded keywords, excluded URLs, and deduplication, then stored in the database in a form optimized for analysis.

Stored data then goes through a second refinement stage in which AI interprets context and tags each item for positive/negative sentiment, mention importance, and core topics, so the final dataset is managed in a state ready for insight generation.

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Data collection

News
Social
Blog

Initial filtering

  • Excluded keyword
  • Excluded URL
  • Deduplication

DB storage

AI tagging

Final data

Sentiment analysis

72%

28%

Mention importance

Core topics

Topic ATopic BTopic C

Dashboard

The dashboard presents collected raw data through intuitive visualizations so teams can quickly understand both quantitative and qualitative analysis at a glance. Quantitative indicators such as daily buzz volume and channel share are shown alongside qualitative insight such as positive/negative opinion trends and major keyword trends derived from AI sentiment analysis.

This helps teams move beyond raw scale and identify the key information needed for business decisions quickly and accurately.

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Daily Clipping

Daily Clipping is a tailored service that curates key content from major news and social media and delivers it at the time you want every morning.

Clients can choose between AI Clipping, where AI automatically selects major articles from large-scale data, and Expert Clipping, where a specialist familiar with the industry directly reviews and summarizes issues.

If needed, clients can also use only the solution itself, allowing the service to be configured flexibly in the way that best matches their needs.

Learn more

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