IAS Expands Social Optimization for TikTok with Launch of Pre-Bid Video Exclusions

Core Insights - Integral Ad Science (IAS) has expanded its Social Optimization for TikTok by introducing pre-bid Video Exclusion Lists, allowing advertisers enhanced control over their ad placements to preserve brand equity and improve performance [1][2][4] Group 1: Product Features - The pre-bid Video Exclusion Lists enable advertisers to implement granular exclusions tailored to brand-specific needs, enhancing suitability and contextual requirements for ad placements on TikTok [2][6] - IAS's AI-driven Total Media Quality (TMQ) can be combined with Social Optimization for post-bid measurement, providing comprehensive brand safety, viewability, and invalid traffic detection across over 75 markets in more than 30 languages [3][6] - The new features allow advertisers to avoid unsuitable content, create custom suitability profiles, and ensure a comprehensive global solution for their advertising strategies on TikTok [6] Group 2: Strategic Partnerships - The partnership between IAS and TikTok aims to innovate beyond traditional suitability standards, empowering advertisers with greater control and confidence in their investments [4][6] - This expansion builds on IAS's ongoing collaboration with TikTok, which began with the launch of a pre-bid optimization product in 2021 and has since included enhancements to Total Media Quality [4][5]