For editorial teams looking to streamline team workflows and drive informed content strategy with historical reporting, Chartbeat Data Lab integrates flexible report- and visualization-building, scheduling, and exporting capabilities within a secure platform, leveraging a robust set of trusted media-centric metrics to empower your team to build and share customized dashboards and reports.
- Templates
- Main Metrics
- Columns
- Create a Report
- Filter your data
- Build a Visualization
- Send and schedule exports
- Save Document
Templates
Chartbeat Data Lab introduces a streamlined approach to reporting through its customizable templates. These templates serve as starting points for users to build insightful reports tailored to their specific needs.
Currently, Data Labs offers six core templates:
- Story: This template highlights your top-performing articles, ranked by key metrics like page views, engaged time, unique visitors, and more. Gain insights into which content resonates most with your audience and drives engagement.
- Site: This template provides a unified view of performance metrics across all your company’s sites. Easily track, compare, and analyze data from multiple sites to identify trends and optimize overall performance.
- Author: This template ranks your authors based on key performance metrics. It provides a clear view of individual author contributions to your content strategy, helping you recognize top performers and uncover opportunities for improvement.
- Section: This template provides a comprehensive view of section-level performance. Designed to track key metrics, it empowers publishers to analyze how different sections of their publication are performing.
- Referrer: This template provides a comprehensive overview of your canonical referrers and referrer types, including search engines, social platforms, and other traffic sources. Use this dashboard to analyze where your audience is coming from, identify trends, and optimize your strategies for different traffic channels.
- Leaderboard: This template offers a clear, ranked view of top-performing and underperforming content across key metrics. It highlights the performance of authors, sections, articles, referrers, and sites, enabling publishers to quickly identify what’s driving success and where improvements are needed. With sortable rankings based on metrics like pageviews, engaged time, and traffic sources, this dashboard provides actionable insights to celebrate high performers while easily pinpointing areas of underperformance to optimize content strategies and maximize impact.
Each template provides a snapshot of key metrics over a 7-day period. The “Explore” page contains the full set of data available to be manipulated and exported.
While these templates offer a foundation for analysis, users have the flexibility to enhance their reports by adding multiple dimensions and expanding on the metrics they wish to explore further.
Main Metrics
There are eight primary metrics in Chartbeat Data Lab and a long list of available groups and filter parameters to access just the data you're looking for.
- Average Scroll: The average maximum depth that visitors have scrolled to, in pixels, from the top of the page.
- Average Engaged Time: The average amount of time in seconds visitors actively spent on a page.
- Scroll Starts: The ratio of page views where a scroll event occurred, expressed as a decimal.
- Total Engaged Time: The total amount of time in seconds spent actively on a page across sites.
- Uniques: The number of unique visitor cookies to your pages.
- Pageviews: The number of pages viewed.
- Loyal Visitor Page Views: Pageviews from visitors who visit your site an average of every other day, or a minimum of eight unique days in a 16 day period.
- Quality Page Views: Pageviews that received at least 15 seconds of engaged time.
Columns
Use the dimensions to select the grouping criteria for which your metrics are returned, such as title, referrer, geographic location, and page specific data.
- Author
- Browser
- Canonical Referrer
- Character Count
- Content Type
- Country
- Device
- Flesch Reading Ease
- Host
- Html Page Type
- Internal Path
- Language
- Loyalty Type
- Os
- Page Type
- Path
- Pinger Source
- Publish Date
- Referrer
- Referrer Type
- Region
- Scroll Hist
- Scrolled Page Views
- Section
- Site Experience
- Subdomain
- Subscriber Type
- Title
- Total Scroll
- Tz Day (Timezone Day)
- Utm Campaign
- Utm Content
- Utm Medium
- Utm Source
- Utm Term
- Visit Frequency
- Word Count
Create a Report
Once a template is selected, if you have "Explorer" access, you'll have the ability to manipulate the data by choosing which fields to add to the Rows, Columns, and Values of your table.
- Scroll down to the element you would like to customize
- Click on the "..." icon and select "customize pivot table"
- Drag fields to Rows or Columns: These will be your pivot table's row or column headers.
- Drag fields to Values: These fields will be calculated or summarized.
Filter your data
Filters let you only focus on a particular layer of data, for example if you only want to see the metrics for a particular section, referrer type, or page path.
We support 7 different filter types:
- Include
- Exclude
- Range
- Date Range
- Text Match
- Boolean
- Top N
Filters can be accessed from the filter button in the element's inline toolbar:
Build a Visualization
- Open a Template or Document
- Go to Data Lab and open an existing template or document or create a new one
- Toggle the “Explore” slider on
- The “Explore” slide toggle is located on the bottom right corner of the page:
- The “Explore” slide toggle is located on the bottom right corner of the page:
- Add a New Visualization
- Click on the "+ Add Element" button.
- Select "Visualization" from the dropdown menu.
- Select the dataset with “Explore” in the title
- Choose Visualization Chart
- Example: In the visualization type selector, choose "Bar Chart".
- Configure the Data
- Drag and drop the fields you want to use into the "X-Axis" and "Y-Axis" sections.
- For the X-Axis, choose the categorical data you want to group by (e.g., days/ TZDay).
- For the Y-Axis, choose the numerical data to measure (e.g., pageviews).
- Drag and drop the fields you want to use into the "X-Axis" and "Y-Axis" sections.
- Customize Your Chart
- Use the "Settings" panel to customize the appearance of your chart.
- Change colors, labels, and other display options to fit your needs.
- Apply Filters (Optional)
- If you need to filter your data, drag fields into the "Filters" section and set the criteria.
- Save and Share
- Once your bar chart looks good, save your workbook.
- Share it with your team or export it as needed.
Send and schedule exports
Immediately send an element or workbook to one more destinations:
- Direct download
- An email list
- Slack channel (coming soon)
- Google Cloud Storage from Snowflake connections (coming soon)
- Amazon S3 from Snowflake connections (coming soon)
Set up a scheduled export of an element or workbook to one or more destinations:
- An email list
- Webhook
- Slack channel (coming soon)
- Google Sheets (coming soon)
- Google Drive (coming soon)
- Google Cloud Storage from Snowflake connections (coming soon)
- Amazon S3 from Snowflake connections (coming soon)
Save Document
Use the “Save As” function located at the bottom right of the page to save your document for future use.
- Click on “Save As”
- Give your document an identifiable name
- Click “Save”