It has been a crazy month here at RowFeeder! We had a great response to our last big release, including some nice mentions and articles in the blogosphere. We’ve had an ongoing stream of amazing feedback as we’ve welcomed a ton of new folks to the RowFeeder family. We just added a handful of heavily requested features, data fields, and enhancements to our Excel reports. Please keep the feedback coming! Ping us on Twitter or via email – we’re working 24/7 to keep up!  Here are the 8 new things we rolled out last night:
Have you ever wanted to share a RowFeeder Excel report with a colleague or friend? Well, now you can with just a couple clicks! When you download reports, you now have an option to email out the report as well. We’ll send a private download link to the lucky recipient (who doesn’t even need to have a RowFeeder account).
Based on popular request, we are now showing the permalink to the original Tweet or Facebook post as a column in the spreadsheet download. This lets you easily get to the source when more information is needed.
The old conversation drivers report required that you type in keywords to search. In the shiny new version, we auto-magically elevate the top 6 words or pairs within your dataset (like a word cloud). Â Of course, you can still edit the yellow/pink cells to search for other words within your content.
We’ve been missing a report that aggregates all of your basic metrics for a term(s) in a single spreadsheet. The new “Snapshot” report provides an overview of your data including volume of Twitter vs. Facebook posts over time, top users, conversation drivers, Twitter posts and impressions, and Twitter content type (RT, @, etc). This report give the high level overview of any term(s), but you can still drill down to the rest of the reports to get more detail. So if you just need a quick view of the basics + all the raw data, check out this new report on your next download.
We’ve made a couple enhancements to the Volume and Time report. The first change is a new chart showing Twitter posts vs. potential impressions over time. The second improvement is  a basic roll-up of posts by day and by hour across the entire dataset. Timing can have  a impact on success and we’re hoping this can help inform the best times to connect with your audience on Twitter, Facebook, and other social channels. We’re planning to add more depth are the idea of timing down the road.
To date, our Location report has shown the distribution of Twitter posts by Country and City/State for US. We’re adding a bit of context to this report by displaying the share of population for each of the top Cities and States within your dataset. Now you won’t just know that Dallas has a 7% share of the conversation, but that it is a disproportionately high share relative to the 3% share of the US population in the Dallas metro area.
(Available as a free add-on for Enterprise accounts only)
We added in a new optional column to identify the language of each posts. We’re heard from some of our big customers monitoring international conversations about the need for language identification and filters. This is an early shot at this feature as we work on building accuracy over time. It will be an add-on for Professional accounts and available on all Enterprise after we get it tuned up.
(Currently available as a free add-on for Enterprise accounts only)
We’ve had a few requests to extract Twitpic links into a new column. We’ve had several similar requests to pull words, links or other information out of posts and create a new column with the extracted content. This includes specific links, retweets, mentions of usernames, specific words or phrases (such as intent to buy), or other items within posts. Now enterprise accounts can dream up new custom columns to allow additional filtering and reporting on your data. This also opens the door for more custom reports based on these fields. This is currently a custom add-on, so drop us a line if you want to dream up any new column for your Enterprise account.
A few other items we’re currently working on or researching based popular demand (subject to change)…
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