We are pleased to announce the release of the new Trackerbird Software Analytics Reporting API. This API is targeted for advanced users who would like to build their own dashboards or integrate Trackerbird reports into third party applications. The API can also be used to export runtime intelligence data out of the Trackerbird servers for archiving or custom processing by other BI solutions.
With the Trackerbird reporting API you can easily achieve the following:
In the future the API will also be expanded to allow management of ReachOut Campaigns and perform other advanced management tasks.
The API can be accessed via HTTPS using either POST or GET requests. In the request you can simply specify whether you want data in raw JSON format or else in pre-formatted HTML charts/tables that you can easily embed inside an iframe or web-page without any processing.
Please check out the API documentation for code samples and a quick start guide on how to use this API. The new API will be made available to all Premium Trackerbird accounts. However during the BETA period it will also be available for testing on Freeware accounts. If you are a new Trackerbird customer and do not yet have a premium account, please do get in touch with our customer support helpdesk and we will be pleased to assist you in evaluating the API.
Keith is Revulytics’ VP, Software Analytics and was the co-founder and CEO of Trackerbird Software Analytics before the company was acquired by Revulytics in 2016. Following the acquisition, Keith joined the Revulytics team and is now responsible for the strategic direction and growth of the Usage Analytics business within the company. Prior to founding Trackerbird, Keith held senior product roles at GFI Software where he was responsible for the product roadmap and revenue growth for various security products in the company's portfolio. Keith also brings with him 10 years of IT consultancy experience in the SMB space. Keith has a Masters in Computer Science from the University of Malta, specializing in high performance computing.
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