UTM Mind
UTM Mind is an AI-powered UTM link management and governance platform designed to help marketing teams create, standardize, and validate tracking URLs across campaigns, eliminating the need for manual spreadsheets and error-prone processes. It uses a conversational AI agent that allows users to describe campaigns in plain English, automatically generating UTM templates, building links, enforcing naming conventions, and syncing tracking parameters directly to advertising platforms such as Google Ads, Meta Ads, TikTok Ads, and Campaign Manager 360. It centralizes the entire lifecycle of UTM management, from defining standardized naming rules and attributes to generating validated links in bulk and distributing them across teams or exporting them to tools like Google Sheets. UTM Mind includes a rules-based validation engine that prevents incorrect or inconsistent parameters, ensuring that every link follows predefined conventions and eliminating issues like duplicate sources.
Learn more
MTWSPY
MTWSPY is an AI-powered ad intelligence platform designed to help marketers discover, analyze, and replicate high-performing advertising campaigns across multiple markets. It functions as an advanced alternative to traditional ad libraries, providing access to a continuously updated database of real ads, creatives, and funnels, allowing users to quickly identify what is currently working in competitive niches such as nutra, crypto, gambling, and dating. It enables deep filtering by parameters like geo, vertical, offer, domain, and campaign attributes, making it possible to locate specific strategies and trends without manual searching. A core feature is its AI-driven analysis system, which organizes ads into structured “collections” based on dozens of performance parameters, helping users evaluate funnels, creatives, and targeting approaches more efficiently. It provides access to landing pages and pre-landing funnels directly within the interface.
Learn more
Blackwood Seven
In marketing attribution methodologies around the globe there are two fundamentally differentiated approaches deployed. The first one is the top down population based approach which was traditionally done through multiple linear regression which heavily limited the number of media channels and variables that could be quantified at any given time. The second approach is the bottom up approach where individual cookie-based interactions are summed up to form a bigger picture. With Hamilton AI we have developed a new generation of unified measurement models. Models that can both attribute, optimize and allocate the biggest share of most marketing budgets. Namely the paid media spend. All without the disadvantages of the previous models. Scattered and incomparable data combined with multiple dedicated tools to measure the impact of marketing activities are leading to spurious attribution and sub-optimization.
Learn more
PowerShellGet
PowerShellGet is a module with commands for discovering, installing, updating, and publishing PowerShell artifacts like modules, DSC resources, role capabilities, and scripts. The Find-Command cmdlet finds PowerShell commands such as cmdlets, aliases, functions, and workflows. Find-Command searches modules in registered repositories. For each command found by Find-Command, a PSGetCommandInfo object is returned. The PSGetCommandInfo object can be sent down the pipeline to the Install-Module cmdlet. Install-Module installs the module that contains the command. DSC resources can be located using the parameters Tag and RequiredVersion. Tag displays the current version of every resource that contains the specified tag in the repository. RequiredVersion needs the ModuleName parameter and the Name parameter is optional. The Name and ModuleName parameters limit the output. Use the AllVersions parameter to display a DSC resource's available versions.
Learn more
