Automatically blocks common bot, crawler, and spam traffic at the server level to maintain metric accuracy.
To maintain a clean traffic dashboard, automatic bot and spam filtering is applied natively. An internal blacklist of known web crawlers, search engine spiders, and referrer spam networks is continuously updated, ensuring these hits are scrubbed before reaching the reporting interface. This process prevents artificial inflation of pageview and unique visitor counts by automated scripts. While effective for typical marketing use cases, the system operates as a closed system, lacking user access to blocked traffic details or custom IP exclusions.
Utilizes anonymized hashing to track aggregate traffic without needing privacy consent banners.
Engineered entirely around a privacy-first, cookieless tracking methodology, it avoids persistent tracking cookies or local storage. Instead, a complex, rotating cryptographic hash based on the user's IP address and user agent is generated to track unique page views within a 24-hour window, after which the identifier is permanently destroyed. This ensures no tracking of individuals across different days or websites. Collecting zero personal data as defined by GDPR, businesses can typically remove cookie consent banners. This approach provides clean, top-level traffic data but limits deep, long-term user retention analysis.
Tracks basic interactions like button clicks using simple JavaScript events.
To supplement basic pageview tracking, it allows for fundamental custom event tracking using lightweight JavaScript snippets. Users can define specific goals, such as newsletter sign-ups or file downloads, and track them alongside general traffic. Implementation requires assigning a unique event ID directly into the website's code or through a tag manager. However, this feature is basic compared to enterprise tools; it only counts the occurrence of the event and associates a fixed monetary value if desired, lacking the ability to attach custom dimensions or contextual parameters.
Stores aggregated, anonymized data indefinitely, ensuring unlimited historical access.
Despite adhering to strict privacy measures, long-term data accessibility is maintained. Anonymized and aggregated data storage aligns with GDPR principles, allowing indefinite retention on active accounts. Users can analyze year-over-year trends without data purging concerns. This contrasts with platforms that delete historical data after short periods unless premium plans are purchased.
Basic revenue tracking is supported by assigning fixed monetary values to custom events, but it lacks a dedicated e-commerce schema.
E-commerce tracking on this platform is rudimentary and operates entirely through the standard custom event feature. Rather than offering a dedicated schema for product views, cart additions, and complex transactions, users simply assign a static monetary value to a specific conversion event (e.g., "$50 for a Checkout event"). The dashboard then aggregates this into a total revenue metric. While this provides a very high-level overview of campaign ROI, it falls drastically short of the needs of serious online retailers. It cannot track individual product performance, calculate average order value dynamically, measure cart abandonment, or process refunds natively.
Built on a privacy-first architecture, bypassing GDPR and CCPA cookie consent banners.
Privacy compliance is the core value of this platform. Operating without tracking cookies and using anonymized, rotating 24-hour hashes, it avoids collecting personally identifiable information (PII). This allows businesses to remove GDPR, ePrivacy, and CCPA consent banners, capturing data on all visitors. Traffic is routed through EU-based servers for European visitors, complying with cross-border data transfer regulations. It is ideal for organizations aiming to eliminate legal compliance risks while measuring website performance.
Allows basic, aggregated data export via CSV or API, but lacks raw hit-level data.
Offers basic export capabilities for external data manipulation. Users can download CSV files of aggregated metrics like pageviews or top referrers. A REST API is available for automated data extraction. However, due to strict privacy design, there is no raw hit-level data to export. User journeys are not tracked individually, so exported data is pre-aggregated.
The main dashboard features a live visitor counter that displays the number of users actively browsing the site at any given moment.
Live traffic monitoring is integrated directly into the primary, single-page interface without requiring any separate configuration. The real-time widget constantly updates to display current active visitors, the specific pages they are viewing, and their referring domains. Unlike complex enterprise tools that might sample or delay live data, this implementation provides an accurate, immediate snapshot of active site engagement. This straightforward approach is ideal for monitoring immediate campaign launches, identifying sudden viral traffic spikes, or quickly verifying that tracking code is installed correctly. However, the scope is strictly restricted to top-level volume metrics; it does not allow for deep segmentation or real-time event debugging.
