Statistics / Analytics

These FAQs briefly summarise key points regarding Composr's statistics system and how to use them for marketing and analytics.

For more information, check out these tutorials:
Question What are the key differences between Google Analytics and Composr statistics?
Answer While there is some overlap, Composr statistics and Google Analytics are complementary tools.

Google Analytics Pros:
  • Offers sophisticated functionality for professional marketers.
  • Integrates with other Google products like AdSense and Search Console.
  • Provides insights based on Google's marketing data, such as visitor demographics.

Google Analytics Cons:
  • Limited to web visit data unless custom programming or complex configuration is implemented.
  • Relies on JavaScript for tracking, which can be blocked by users.
  • Uses tracking cookies, raising privacy concerns and potential GDPR compliance issues.
  • Data is potentially sold to third-party data brokers or used for targeted advertising by Google.
  • Closed-source platform.

Composr Statistics Pros:
  • Server-side tracking, independent of JavaScript and browser configurations.
  • Contextual information and graphs for data beyond web visits (e.g., sales).
  • Enhanced privacy as it only uses IP addresses, session IDs, and member IDs.
  • Complete data control as it is hosted on your website.
  • Open-source addon, fully customizable.

Basic users may find Composr statistics sufficient, while expert marketers might prefer the power of Google Analytics.

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Question How do I install geo-location data for Composr statistics?
Answer Geo-location data installation is usually automatic during the Composr installation process. If not, you can manually install it by navigating to Admin Zone > Audit > Site statistics > Install geolocation data. This action will reschedule the installation task. If you don't see this option, the geo-location data is already installed.

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Question What are the different ways to track events in Composr?
Answer Composr offers various methods for tracking events:
  • Inbuilt events: Automatically recorded for actions like form submissions, purchases, newsletter signups, etc.
  • Tempcode symbol: Use the {$LOG_STATS_EVENT,event} symbol within your templates to track events when the template is displayed.
  • JavaScript function: Employ the $cms.statsEventTrack JavaScript function to track events from within your JavaScript code.
  • HTML data attribute: Add data-click-stats-event-track="{ category: 'some event', nativeTracking: true }" to HTML elements. This method acts as a wrapper for the JavaScript function.
  • URL wrapping: Wrap URLs in links using the {$STATS_TRACK_URL,URL,event} symbol. This approach records events via a redirection script and doesn't rely on JavaScript.

The JavaScript and HTML data attribute methods can also be integrated with Google Analytics events.

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Question What is the purpose of tracking codes in Composr?
Answer Tracking codes help you identify the sources driving user sessions to your website or associate specific split testing variations with users. Composr offers integrated referral tracking through various means:
  • URL parameter: The _t URL parameter can contain any custom tracking code, automatically registered by the stats addon.
  • Recommend addon: This addon automatically includes tracking codes for the referral source, referring member, and the referred page.
  • Member joining: When a referred member joins, the referring member receives points and a friend request.
  • Referrals addon: Allows manual tracking code input upon joining and facilitates a referrer reward system.
  • Stats addon: Generates graphs of tracking codes, including conversion rate measurements.
  • User lookup tool: Allows checking if a user accessed the site via a tracking code.
  • Tempcode integration: Inject tracking codes into Tempcode using symbols like {$SET_TRACKING_CODE,some code} or {$SPLIT_TEST,some code,some other code}.

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Question How can I perform split testing in Composr?
Answer Split testing in Composr involves combining tracking codes with events. The simplest approach utilizes Tempcode:
  • Random tracking code: Choose a random tracking code from a set and activate it for the user session.
  • Conditional output: Generate different content variations based on the active tracking code.
Subsequently, you can analyze event success rates based on the assigned tracking codes, utilizing both inbuilt events and custom-created events.

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Question What are KPIs and how are they used in Composr?
Answer KPIs (Key Performance Indicators) are specific measurements selected for marketing analysis. In Composr, time-series graphs can be added as KPIs. They offer several benefits:
  • Quick reference: Available on the Admin Zone dashboard staff checklist.
  • Target setting: Allows setting targets against KPIs, visualized on graphs and in overview summaries.
  • Notifications: Staff members receive regular notifications regarding target achievement status.

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Question Why does Composr use pre-computed statistics?
Answer Composr generates statistics from pre-computed data for several reasons:
  • GDPR compliance: Prevents indefinite storage of raw (potentially personal) data while preserving historical statistics.
  • Computational efficiency: Avoids real-time execution of complex calculations, ensuring optimal performance.
  • Scalability: Handles vast amounts of data without performance degradation.
  • Responsiveness: Enables quick and seamless statistics browsing and filtering.
  • Data accessibility: Makes generated data readily available for other Composr components.

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Question What are the limitations of pre-computed statistics in Composr?
Answer Pre-computed statistics introduce certain limitations:
  • Filtering constraints: Limits filtering options to those incorporated in the data structure.
  • Historical data limitation: To maintain site stability, statistics older than 31 days aren't pre-processed. This may lead to data gaps if the system scheduler malfunctions or statistical data is manually deleted.

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Question How are time zones handled in Composr statistics?
Answer All times in Composr statistics are displayed according to the configured website time zone, regardless of visitor or user account time zones. While this is a limitation due to pre-computation, some graphs displaying hourly stats and country filtering offer insights into local times for manual analysis.

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Question How can I access the raw data behind the statistics graphs?
Answer Every graph in Composr offers a spreadsheet export option. This allows you to download the data in a spreadsheet format, enabling detailed manual review or further analysis using third-party tools.

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