Under what specific circumstance is automated bidding the *leasteffective bidding strategy on Naver Ads?

Automated bidding is least effective in Naver Ads when a campaign has insufficient conversion data or is targeting a very niche market with limited search volume. Automated bidding algorithms, like Target CPA or Target ROAS, rely on historical data to predict future performance and adjust bids accordingly. If a campaign is new, uses highly specific keywords with low search volume, or has undergone significant changes in targeting or landing pages, there will be limited or unreliable conversion data available. In these circumstances, the algorithm is unable to accurately predict optimal bids, potentially leading to wasted ad spend or missed opportunities. For example, a campaign promoting a highly specialized industrial component with only a few searches per day and infrequent conversions would not provide enough data for automated bidding to function effectively. In such cases, manual bidding, guided by a thorough understanding of the target market and competitive landscape, is often a more effective approach. Manual bidding allows for greater control and the ability to make informed decisions based on limited data, while continuously monitoring performance and adapting bids as needed.