Otto Monitor

PR Performance Analysis

Convert news and social-media outcomes into cost value to measure the real ROI of PR activities.

Review quantitative indicators together with public-opinion analysis to secure evidence for the next PR strategy.

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PR Performance Analysis Overview

Do you know exactly how much your company's PR activities contributed to actual business results? Using our in-house online media rates and proprietary logic, we convert the true PR outcomes of news coverage into cost value, rather than relying on simple article counts alone.

Social-media activity can likewise be converted into advertising-value terms based on exposure volume and managed through multi-angle performance indicators. By adding qualitative public-opinion analysis, the service evaluates overall PR performance in a more multidimensional way and provides clear evidence for the next strategy.

Real-world use cases

Case 1

Managing quantitative ROI by converting PR outcomes into PR Value

Background

The PR team at Company A wanted to quantify the outcomes of its monthly PR activities and measure the department's ROI.

But article count alone could not clearly show actual impact relative to budget and staffing, and there were limits in converting that impact into an objective cost-value metric.

Because clear performance measurement was difficult, the team also struggled with efficient budget allocation and PR strategy planning.

Solution and outcomes

To measure PR performance, a system was applied that converted all news articles into PR Value using media-rate data and logic developed in-house by Otto Monitor.

Although PR Value is not an absolute cost figure, it became a clear standard for proportional comparison with the previous month or the same period of the previous year.

This allowed Company A to measure PR impact as quantitative ROI relative to invested cost, and it also improved analytical precision further by weighting factors such as positive or negative tone and mention importance.

Once data-based performance measurement became possible, the team could identify which media outlets and messages were more efficient and build a positive cycle for planning more effective PR activity going forward.

Case 2

Comparative evaluation of affiliates for integrated group-level PR performance management

Background

Group B owned many affiliates and needed to measure and compare each affiliate's PR performance using an objective standard.

Previously, standards varied by affiliate, such as article count or major exposure, so the group lacked a clear basis for deciding which affiliates were running efficient PR activity and how budget and resources should be allocated.

Solution and outcomes

Group B standardized measurement by applying Otto Monitor's PR Value conversion logic to all affiliates so performance could be evaluated on an ROI basis.

This made it possible to compare and analyze the PR performance of all affiliates objectively using the same standard at the group level.

Beyond a simple ranking comparison, the group analyzed performance data in depth by media and by project to determine which activities at which affiliates had created genuinely valuable outcomes.

As a result, Group B was able to derive best practices from top-performing affiliates, spread them to others, and establish rational data-based performance evaluation and resource-allocation strategies.

Key features that enable PR Performance Analysis

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

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28%

Mention importance

Core topics

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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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