Segwise Added a New Analytics Feature to its Platform
Colin Smith — February 24, 2025 — Tech
References: segwise.ai & venturebeat
Segwise has introduced a new Creative Analytics feature on its AI-powered user acquisition platform. This feature leverages multimodal AI to analyze various elements of ad creatives, such as visuals, text, and audio, across different ad networks. By automatically tagging these elements, the platform provides insights into their impact on performance metrics like install per mille (IPM), click-through rate (CTR), and return on ad spend (ROAS). This allows users to identify which creative components are driving better engagement and optimize their advertising strategies accordingly.
In addition to automated tagging, the Creative Analytics feature supports custom tags, enabling users to track specific elements unique to their campaigns. The platform also offers custom dashboarding, allowing users to create reports on aggregated creative data from multiple ad networks. This helps in identifying top-performing assets and effective tag combinations for different geographies and ad networks. Overall, the Creative Analytics feature aims to enhance the creative workflow by providing data-driven insights to boost user acquisition returns.
Image Credit: Segwise
In addition to automated tagging, the Creative Analytics feature supports custom tags, enabling users to track specific elements unique to their campaigns. The platform also offers custom dashboarding, allowing users to create reports on aggregated creative data from multiple ad networks. This helps in identifying top-performing assets and effective tag combinations for different geographies and ad networks. Overall, the Creative Analytics feature aims to enhance the creative workflow by providing data-driven insights to boost user acquisition returns.
Image Credit: Segwise
Trend Themes
1. Multimodal AI in Advertising - Utilization of multimodal AI to dissect ad creatives is transforming how businesses understand and optimize their advertisement strategies.
2. Automated Tagging Systems - Automated tagging in analytics platforms is revolutionizing the way marketers identify high-performing creative elements.
3. Customizable Data Dashboards - The rise of customizable dashboards in analytic platforms is reshaping data reporting by enabling tailored insights across multiple ad networks.
Industry Implications
1. Digital Advertising - The digital advertising industry is witnessing a paradigm shift as AI-driven analytics redefine performance optimization strategies.
2. AI-driven Marketing Tools - AI-driven marketing tools are emerging as key enablers in providing data-backed insights that enhance advertising campaigns' effectiveness.
3. Creative Analytics Platforms - Creative analytics platforms are evolving into essential tools for marketers, facilitating comprehensive evaluations of ad creatives across networks.
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