As said before the 'Statistics dashboard' has a big variety of widgets and filters. And when we say big, we mean big. Therefore, we won't go into the details of all these widgets, but we'll tell you a little bit about every category.
As said in the article about the statistics dashboard there's a pre-filled dashboard when you log in for the first time. We picked out the most used widgets so you can use the statistics right away. If you want to edit a widget you can simply click the gear wheel in the top right corner of the widget or you can add a whole new desktop and click one of the empty widgets to add a widget. Choose 'Statistics' as widget type and next, you can choose between the next categories (click on the name of the category to jump to the category):
- Activity per type
- Engagement valuation
- Facebook insights
- Label statistics
- Network info
- Quick search
- Sentiment analysis
The 'Activity per type' widget shows you the number of engagements you're receiving from your fans. All the different activities (likes, shares, private messages etc.) are separated so you can see, for example, on which day of the month you had the most activity.
Within this category, you can choose from the next subtypes: Activity totals, Activity per day, Activity per hour, Activity per month, Activity per weekday, Activity per day hour, and Inbound vs outbound activity. You can use this data to see when your posts receive the most engagements and decide, based on this data, when you'll publish your content in the future.
In the 'Community' widget you can see the size of your communities. The community subtypes are Community totals, Community evolution per day, Community evolution per month, Community growth per day, and Community growth per month.
You can just use these to see how fast your communities are growing or you can use them to see if certain projects/posts affected the growth of your community.
In this part, you'll find information about conversions on your website/in your webshop. You can see the Conversion totals, Conversions per day, Conversions per month, ROI totals, ROI per day, and ROI per month.
Important note: these widgets are only available when you've implemented the conversions tracker. Check with your admin or colleagues if you're able to use this or contact us via firstname.lastname@example.org to get more information about the tracker.
The demographics section tells you more about your fan base, things as gender or the country that they're from. The subtypes for this category are Community size, Gender distribution, Age distribution, Language distribution, Country distribution, and City distribution. This information won't always be complete because different networks have different privacy settings, plus, the fans themselves have different privacy settings as well. The 'Community size' widget shows the number of fans who have opened their profile and shared demographic information.
The 'Engagement valuation' widgets offer insight into the media value you've created with your social media channels. So it shows what your channels are worth and what kind of activities are contributing the most to your value. This category offers the subtypes Valuation per network, Valuation per day, and Valuation per month.
Below we have a table with the value of the different engagements. This formula is composed with co-operation with Omnicom and Isobar and is based on existing online media value.
The information in the 'Facebook insights' widgets is directly implemented from Facebook. This section can be really useful for international companies, for instance. The 'Facebook insights' category has a lot of subtypes: Storytellers per country, Fans per country, Page impressions per country, Page fan adds per source, Page impressions per origin, Page post impressions per origin, Page negative feedback, Engaged, consumption & storytellers, Page storytellers by type, Fanbase evolution, Cumulative impression frequencies, Impression frequencies over time, Age and gender insights, Total reach, and Total impressions.
The label statistics are very valuable if you're a big user of labels. In this category, you can add widgets giving insights into Sentiment per label, Label totals, and Labels per message type. If for example, you use the labels to observe how often different topics are discussed, you can use the label statistics to see how often the topic label is assigned to messages and what the general sentiment around that topic is.
The 'Network info' widgets show you how your networks are performing. You can see totals, but also how well a network is performing per day, hour, month, weekday, and day hour. Lastly, you also have widgets concerning activation-, and engagement rates and IPV.
You can use this data to see how well a network is performing at this moment, eventually to optimize the timing of future posts. For example, this information might show that it might be better to post on Facebook on Wednesday at 2 p.m. and on Twitter on Monday at 5 p.m. Ideally, you want to see a growth in network activity. By selecting Network Activation rates, you find out how well you are able to activate your fanbase (when 10% of your fan base is responding to your post, the activation rate is 10). The formula for the activation rate is: ((likes + comments + replies + shares*2)*1000) / (Fans * messages).
In the 'Overlays' widgets, you can see the uploaded overlay data associated with this brand. You can view the Last 5 customer series per hour, Last 5 customer series per day, and Last 5 customer series per month. This feature is only available for customers who attached files into the 'Overlays for statistics'. Please contact email@example.com to help you with the overlays.
As the category says, this part of the statistics gives you insights on your 'Quick search' results. You can see how often your search entries have actually been found. Because we know the exact time of the message in which your search entry has been found, we can tell you exactly on which minute/hour/day/month your search entries are most active. The statistical subtypes you can choose from are: Search totals, Search results per day, Search results per hour, Search results per month, Search results per minute, Search results per weekday, Search results per dayhours, Search occurrences, Average sentiment, Total sentiment, Sentiment share, and Trends Word Cloud. You can choose between different chart types to demonstrate the results (note that not all chart types are available for every statistics subtype): Pie, (stacked) bars, (stacked) columns, (stacked) percentage columns, table, and word cloud. The Word Cloud is a good way of getting insights into the words that are being mentioned around your search words.
The sentiment of the search results which will give you an indication of how the sentiment is outside of your own network. You can select the Average sentiment, total sentiment or sentiment share.
In this section, you'll see the sentiment statistics. These statistics gives you an indication of how the sentiment is changing over time and what the overall sentiment is. Here you can choose for the subtypes: Average sentiment, Total sentiment, Sentiment share, Average private sentiment, Total private sentiment, and Private sentiment share.
Do note that before the system will automatically assign sentiment to messages you have to manually do 40 to 60 messages first, so the system can learn from it.
The 'Tasks' section comes in very handy if you're actively using tasks and/or if you're doing a lot of webcare. For this section there are six different subtypes: Task resolution evolution, Tasks closed evolution, Tasks Answer Time Evolution, Messages Answer Time Evolution, Messages answered per user, and Fans replied to per day. So mainly you can see how many messages are being answered by who in what time range. The difference between a task and a message is that a task is a message that has been assigned to someone. An answered message is a message that has been answered directly from the streams without assigning it to someone. We can't measure replies that are done via the channels itself.
Depending on the networks you are using, you can see the number of views (e.g.: Twitter doesn’t offer views). The number of views gives an insight into the reach of your network. You can use this statistic to see on which time of the day and day of the week your posts received the most views. This may help you to improve your reach and activation of your fans.
You can see the views per network, day, hour, month, weekday, and day hours.
TIP: Need to make reports of the statistics? You can download the statistical information per widget by clicking the gear on the top right and clicking 'Download as CSV'. If you don't have a predetermined program (such as Spss or other database software), select 'Open with Microsoft Excel'. Once you opened the file, select the first column, go to 'Data' and click 'Text to columns'. A popup will appear. Choose 'Seperate' and click 'Continue'. Then select 'Semicolon' and complete. Now the data will appear in different columns as a normal Excel sheet. You can also get weekly/monthly automatic reports. Get in touch with your customer success manager or send an email to firstname.lastname@example.org.