newscurve

Neodata Group, a leader in ad-serving and online publisher solutions, today announced the acquisition of Newscurve, a company focused on providing web analytics to power editorial decision making. With this acquisition, Neodata Group will leverage Newscurve’s technology to strengthen its cutting-edge editorial suite and move forward with the company’s international expansion.

Read the full announcement. 

As you probably realized until now, every two weeks we launch new features in NewsCurve. We'll try to keep you updated on all the changes in a quick, easy to read way. Here's a summary of what we launched most recently.

Author Dashboard:

We proudly introduce much needed improvements to the alpha release of the author dashboard. 

Cool Benefits:

• It displays metrics on articles published only within selected time period
• Tracks number of published articles per author

We did more cool stuff in past few weeks, so in case you missed it:

• More accurate social sharing tracking (instead of tracking only first 100 articles, we now track absolutely all)
• Additional social sharing tracking for google buzz, reddit, delicious and digg (as soon as they get shared, you’ll get them on your Dashboard)

We're working right through the holidays to ensure your website is converting better than ever.

As always, your input, questions and feedback are important to us. Tell us what you think about our latest innovations, and how NewsCurve has helped you improve content performance. Let us know by writing to hi at newscurve dot com, or following us on Twitter.

Love,
Everyone here at NewsCurve

Our engineering team has been kicking into high gear to address customer feature requests. Today we're happy to roll out a highly sought after feature request – author dashboard! Now you can have performance-based evaluation of multiple authors and measure their success.

Author dashboard will allow you to measure and compare performance of individual authors over a period of time (today – last 7 days – last 30 days). As of now, it is available on “experimental” branch.

This means you can see who was the most productive and whose articles got most reactions and engagement. 

Engagement score is calculated according to custom events each event carries (more on actions and mentions and event values). You can set own values for each and every engagement action if you want to calculate engagement score according to own formula of success.

Let us know what you think! 

The Extension takes advantage on Newscurve's Alerts mechanism that discovers anomalies in your content behavior that fall outside the scope of "regular" behavior, such as abnormal increase or decrease in page views, sudden shift of predominant traffic source to the content (i.e. if visits from social networks jump by 30%), or change in popularity of the content on your site, measured by NewsCurve's proprietary PULSE algorithm.

With ability to get real time heads-up and discover important content performance anomalies, we allow you to react just-in-time with zero overhead in getting decision support from analytic results. 

Download

You can download extension from the Google Chrome Extensions Gallery.

https://chrome.google.com/webstore/detail/maadebfjknilfclnicjggcgpapocdkdc

Installation

Once installed you’ll see a NewsCurve icon to the right of your Location bar. If it has a grey color, then you need to log into your Newscurve account. Once you are logged in the icon will show as colorful square and you will start receiving alerts within 1-5 minutes.

Screenshot

License

The extension is completely free.

NewsCurve for Google Chrome™ is still under development and may be buggy. Please report any issue at support (at) newscurve (dot) com, or via Twitter.

Pageviews vs. Share/Trend

Pageviews are now one more metric available on dashboard, and you won't need to go to individual content item (article) to see the number of pageviews each content in the list has. Easily switch between showing page views or showing share/trend. This is probably a temporary solution to bridge the time needed to introduce more metrics for every individual content item in the list.

The number to the left represents pageviews within selected time segment (last hour, last 6 hours, etc.), and number to the right overall pageviews.

Custom time segments

Perhaps even more important feature we added is ability to choose custom time segment you want to see. Detailed analytics data with a greater precision will help you to concentrate more on the weak segments and thus help you to increase the traffic.

This works both for overall/taxonomy dashboards as well as individual content (item detail) report. 

To pick a segment, just drag your mouse over the wanted time period on main graph. In example above, chosen segment is 22h - 04h (10pm - 4am). Important note: choosing time segment will affect list order only if pageviews is chosen from source drop-down, as pulse cannot be sliced to custom time segments due to the nature of algorithm. 

We hope these important features we added to our Labs (experimental) release will add another level of richness in your reports. Happy analytics and let the answers find you :)

Labs is a way for us to take out in front of you the ideas while they’re still "hot" and let you all (who use Newscurve) decide whether they're good or not to be integrated in core.

- Go to www.newscurve.com/accounts/
- Login with your normal credentials
- Switch to "experimental" release using the link from the top-right corner, next to your login information. You can switch back to "stable" at any time.

We've put feedback links in there, too, so you can discuss a feature with other users and the engineer(s) who wrote it. You can report bugs, tell us what you like and dislike about the features, and share special ways in which you're using it.

Please note that since our Labs deployment is experimental, features, user interface improvements and reports may disappear temporarily or permanently.

Let us know what you think :)