Naver Shopping Ads See Higher ROI with Keyword Optimization

This article details how to leverage the negative keyword function in Naver Shopping Search Ads to analyze keyword click data. By accessing the ad management system, locating the target ad group, viewing detailed information, and analyzing keyword impressions, clicks, and costs, cross-border e-commerce sellers can effectively identify high-click, low-conversion keywords. Excluding these keywords allows for optimized ad spending and improved advertising effectiveness. This process helps maximize return on investment by focusing on keywords that drive actual sales rather than just clicks.
Naver Shopping Ads See Higher ROI with Keyword Optimization

Cross-border e-commerce sellers advertising on Naver Shopping often face a critical challenge: identifying which keywords genuinely drive traffic and conversions. The ability to accurately analyze user search behavior and optimize advertising strategies while minimizing wasteful spending remains paramount for success.

Consider a scenario where a meticulously planned ad campaign generates substantial impressions but delivers disappointing sales conversions. The root cause frequently lies in keyword selection. When ads are triggered by search terms irrelevant to target customers, advertising budgets are effectively wasted. Therefore, precise keyword performance analysis and elimination of ineffective terms become essential.

Accessing Naver's Advertising Management System

Sellers should begin by logging into their Naver Smart Store account and navigating to the "Search Ads" section. The advertising management interface provides an overview of all campaign metrics, including impressions, clicks, and expenditures. After selecting the desired campaign, users can access the ad group management page for deeper analysis.

Analyzing Ad Group Performance

The ad group page displays all related creative materials. By clicking the "View Details" button at the bottom, sellers access comprehensive performance data. This detailed analytics interface reveals individual keyword performance metrics crucial for optimization.

Implementing Negative Keywords for Data Analysis

Within the detailed view, the "Exclude Keywords" tab contains an "Add Negative Keywords" function. This feature opens a new window displaying critical metrics for each keyword:

  • Impression counts
  • Click-through rates
  • Total expenditures

This data enables sellers to quickly identify high-performing keywords versus underperforming terms with low conversion rates.

Customizing Data Analysis Parameters

Naver's system allows customizable timeframes for precise performance analysis, including options for:

  • Previous week
  • Monthly periods
  • User-defined date ranges

The platform supports Excel exports for advanced analysis. Sorting functions (ascending/descending) for impression and click data facilitate rapid identification of top and bottom-performing keywords.

Strategic Keyword Exclusion for Budget Efficiency

While this analysis focuses on negative keyword functionality, the ultimate goal remains advertising optimization. High-click, low-conversion keywords may be added to the "Selected Keywords" list for exclusion from search parameters. This strategy:

  • Reduces wasteful click expenditures
  • Concentrates budgets on higher-potential terms

Caution is advised when excluding keywords to avoid eliminating potential customer touchpoints. Exclusion should only be implemented after confirming both low conversion rates and minimal relevance to target audiences.

Continuous Optimization Process

Naver Shopping ad optimization requires ongoing attention. Regular performance reviews should include:

  • Periodic keyword analysis
  • Negative keyword list adjustments
  • Creative material optimization

Supplemental tools like Naver Analytics can provide comprehensive user behavior insights to strengthen advertising strategies.

Through strategic implementation of Naver Shopping's negative keyword functionality, sellers gain valuable insights into keyword performance, eliminate inefficient traffic, and ultimately enhance advertising effectiveness for cross-border e-commerce growth.