A Ruby library for server-side tracking using the Google Analytics Measurement Protocol.
Staccato is a Ruby library that allows developers to send analytics data directly to Google Analytics from server-side Ruby applications using the official Measurement Protocol. It solves the problem of tracking user interactions that occur outside of a web browser, such as backend processes, cron jobs, email opens, or API-driven events.
Ruby developers who need to integrate Google Analytics tracking into server-side applications, background jobs, or email campaigns, particularly those working on e-commerce platforms or applications requiring detailed backend event tracking.
Developers choose Staccato because it provides a clean, idiomatic Ruby wrapper for the Google Analytics Measurement Protocol with full feature support, flexible adapters for different HTTP libraries, and extensive documentation—making server-side analytics integration straightforward and maintainable.
Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol
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Supports all Google Analytics Measurement Protocol hit types, including pageviews, events, social interactions, exceptions, timing, and transactions, as highlighted in the Key Features, ensuring comprehensive server-side tracking.
Provides detailed measurements for e-commerce like product impressions, promotions, checkouts, and refunds, making it ideal for Ruby-based online stores, with extensive examples in the README.
Offers pluggable HTTP adapters for Faraday, Net::HTTP, and custom implementations, plus debugging adapters for validation and logging, allowing easy integration into various Ruby environments and workflows.
Delivers a clean, idiomatic Ruby API that mirrors the Measurement Protocol's flexibility while adhering to Ruby conventions, as stated in the Philosophy, reducing learning curve for Ruby developers.
The library is built for Universal Analytics, which is in public beta and may face deprecation or changes, limiting future compatibility with newer Google Analytics versions like GA4.
Implementing Enhanced Ecommerce features requires careful management of indices, product actions, and multiple measurements, which can be verbose and error-prone, as seen in the lengthy code examples.
Hits are sent individually by default, which might not be efficient for high-volume tracking scenarios without custom adapters or additional infrastructure, potentially impacting performance.