Amplify has developed a web-based SaaS solution that allows users to create, manage, and publish ads on major digital marketing platforms, including Facebook, Instagram, LinkedIn, as well as Google Ads Display and Search.

Today, the ad generation tools on the market do not integrate exogenous data within their GenAI process, only endogenous data is exploited as contextual data source. We define here the endogenous context as the advertiser available information to generate an ad, while exogenous data sources characterize the ads consumer context and actions. Without any end-to-end ad generation, the dynamic performances are bound by then intrinsic human limitations: the time needed to gather the relevant statistics and insights, to get the right understanding of them and finally to decide and manage accordingly the ad campaign at hand.

To overcome these limitations, the AD-DITION project is divided into two phases: the static and the dynamic self-learning of ad generation using AI:

The purpose of the static phrase is to improve the content of ads (text and image) using static contextual data. In concrete terms, this 1st phrase allows an advertiser to have greater control over image generation to embed their marketing material, but also to automatically include textual information specific to its business domain.

The dynamic phrase consists of including a self-learning process to modify ad content in response to viewer engagement and behavior, and thus dynamically evolve the ad according to the most engaging and effective conversion rates.

Being anchored on GenAI technologies for marketing purposes, dedicated tools to avoid copyright infringement will also be taken care of in the project.