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sspvsa/b-testing

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In digital marketing and advertising, a Supply-Side Platform (SSP) is a technology that enables publishers to manage, sell, and optimize their available ad inventory programmatically. SSPs facilitate real-time bidding (RTB) by connecting publishers to multiple demand sources, allowing advertisers to bid on impressions dynamically. A/B testing, on the other hand, is a method used to compare two or more variants of a marketing element (such as ad creatives, landing pages, or bidding strategies) to determine which performs better based on defined metrics like click-through rates or conversions. The practical connection between SSPs and A/B testing lies in optimizing programmatic ad performance: marketers and publishers can use A/B testing within the SSP environment to experiment with different ad placements, floor prices, creative formats, or targeting parameters to identify configurations that maximize revenue or engagement. For example, a publisher might run A/B tests on different floor price settings in the SSP to see which yields higher overall yield without sacrificing fill rate, or an advertiser might test multiple creatives delivered via the SSP to determine which drives better user actions. This iterative experimentation enabled by A/B testing directly informs decision-making within the SSP’s programmatic ecosystem, improving monetization strategies and campaign effectiveness. Thus, A/B testing operationalizes data-driven optimization in the SSP context, making the relationship actionable and integral to maximizing digital advertising outcomes.

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a/b-testing

noun/ˌeɪˈbiː ˈtɛstɪŋ/

A method of comparing two versions of a webpage or app against each other to determine which one performs better in terms of user engagement or conversion rates.

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ssp

abbreviation/ˌɛsˌɛsˈpiː/

An abbreviation commonly used to denote 'subspecies' in biological taxonomy, referring to a taxonomic rank below species.

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