System and method for AI-driven marketing automation across digital channels

A system of performing automated digital marketing, comprising:

• an artificial intelligence (AI)-driven digital marketing system in communication with a machine learning model and comprising at least one processor and at least one memory storing instructions that, when executed by the at least one processor, cause the AI-driven digital marketing system to generate a graphical user interface including an adjustable graphical selector configured to be displayed on a user device,
• wherein the adjustable graphical selector is part of the graphical user interface and is configured to receive an input, from a user via the user device, indicating a desired level of marketing services in response to the user adjusting the adjustable graphical selector across a service scale including a plurality of service tiers, and wherein movement of the adjustable graphical selector to a given position causes the AI-driven digital marketing system to:
• dynamically configure a set of marketing services corresponding to a selected service tier;
• and
• display one or more corresponding form fields for collecting the marketing input associated with the configured services, wherein displaying the one or more corresponding form fields comprises dynamically modifying a structure of the graphical user interface by automatically adding, removing, or rearranging the one or more corresponding form fields based on the given position of the adjustable graphical selector;
• wherein the machine learning model includes a reinforcement learning component and is configured to:
• receive, from the adjustable graphical selector, a selected position corresponding to the selected service tier;
• determine at least one marketing service associated with the selected service tier by analyzing the selected position of the adjustable graphical selector;
• receive marketing input corresponding to a business of the user and associated with the determined at least one marketing service, from the user, via the graphical user interface;
• generate, using the marketing input, at least one digital marketing asset;
• generate, using an artificial neural network (ANN), onboarding data associated with the determined at least one marketing service;
• transmit the onboarding data to at least one third-party digital platform, wherein transmitting the onboarding data causes the at least one third-party digital platform to activate the at least one marketing service, and wherein transmitting the onboarding data comprises configuring the determined at least one marketing service on the at least one third-party digital platform based on the onboarding data;
• transmit the at least one digital marketing asset to the at least one third-party digital platform;
• receive, from the at least one third-party digital platform, campaign performance data comprising at least one of impressions, clicks, conversions, or engagement statistics;
• adjust weights or parameters of the reinforcement learning component based on the campaign performance data;
• update the at least one digital marketing asset based on the campaign performance data;
• and
• generate and send an automated status update to the user indicating that the at least one marketing service corresponding to the selected service tier has been activated.