Bridging the Analytics Gap: Optimizing Content Performance using Actionable Knowledge Discovery
Web analytics tools like Google Analytics are widely available, but website owners outside the eCommerce sector struggle to extract actionable insights from their data to curate and optimize content. This difficulty often arises from challenges in identifying and aligning objectives with standard website performance metrics provided by these tools, compounded by a lack of expertise in tool configuration. This study focuses on automated approaches- doi
- 10.1145/3648188.3675121
- isbn
- 979-8-4007-0595-3
- name
- Bridging the Analytics Gap: Optimizing Content Performance using Actionable Knowledge Discovery
- source
- publisher_html_pdf
- acm_url
- https://dl.acm.org/doi/10.1145/3648188.3675121
- authors
- Tom Alby
- doi_url
- https://doi.org/10.1145/3648188.3675121
- license
- CC BY 4.0
- summary
- Web analytics tools like Google Analytics are widely available, but website owners outside the eCommerce sector struggle to extract actionable insights from their data to curate and optimize content. This difficulty often arises from challenges in identifying and aligning objectives with standard website performance metrics provided by these tools, compounded by a lack of expertise in tool configuration. This study focuses on automated approaches
- published
- 2024-09-10
- conference
- HT '24: 35th ACM Conference on Hypertext and Social Media, Poznan, Poland, September 10-13, 2024
- open_access
- true
- acm_html_url
- https://dl.acm.org/doi/full/10.1145/3648188.3675121
- displayAuthor
- Tom Alby
- displayPublishTime
- 2024-09-10
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