Statistics to measure the impact of your content distribution strategy on social networks
If you can't measure it, you can't improve it. Know the traffic generated to each of your social networks and adjust the diffusers according to the hours with the greatest impact.
Improve your content distribution strategy on social networks with BlogsterApp statistics
Considering that each social network behaves in a different way, it is important that you measure the traffic generated by your messages to optimize your content strategy in order to achieve a greater performance. With BlogsterApp, you can know which social network is generating more traffic to your blog, and at what moment of day.
Information is power, so you must adjust the time slots of your diffusers, in order to improve the impact and organic reach. An increase in the number of visits to the blog always implies an increase of the business opportunities.
BlogsterApp also allows you to detect seasonal variations, such as the months with more or less traffic. This information will help you plan a more appropriate content marketing strategy for these periods. For example, if you have a travel blog, and analyze traffic throughout the year, you could get a trend or peak during the months of August and September. Take advantage of this information plus the most visited headlines to adjust and intensify the content distribution based on the preferences and topics most valued by your followers.
Which is the best content distribution strategy on social networks?
Each community has its own peculiarities and its own rhythms, and keep this in mind is important in order to design the best content distribution strategy on social networks. So, it is fundamental that you perform a continuous monitoring of the metrics to know your audience, and adjust the diffusers with this information.
The recommendation is you start from a single time slot (by default, from 8:00 a.m. to 11:00 p.m.) and, after a reasonable period of time, adjust your time slots based on the statistics obtained.
BlogsterApp also gives you the 10 more clicked headlines. Take advantage of this information to orient your content marketing strategy to the preferences of your followers.

You can improve your content distribution strategy on social networks and orient your content marketing strategy to your target audience with BlogsterApp statistics
Frequently Asked Questions
Can I know the traffic generated by BlogsterApp from Google Analytics?
Yes, you can know the traffic generated by BlogsterApp from Google Analytics. For this purpose, you can consult “source / medium”. The source is BlogsterApp and the medium are the different social networks for which you share content.
What does "Clicks" metric in BlogsterApp mean?
“Clicks” metric is the traffic generated, and it counts clicks that every person or follower does on the link that accompanies each message.
You can see the total number of clicks in every blog (in the My Blogs window), in every blog entry and also in each of your headlines.
What are the advantages of knowing the hours of greatest impact on social networks?
If you know the hours of greatest impact then you have pure gold. There are a lot of tools like Tweriod, Hootsuite, Audience or Buffer capable of offering you the best time slots.
You can do this same analysis from the Statistics window after a month working with BlogsterApp.
If you apply the information obtained from that analysis on each diffuser, you will increase the traffic and reach of your posts.
Repeat this operation every month in order to analyze the trend.
What is the depth of BlogsterApp statistics?
BlogsterApp statistics are currently based on the traffic generated by each click on any of the messages distributed.
This data can be crossed with social networks and hour values. In this way you can see what time of day the most impactful peaks are produced, as well as what days of the week.
All this information can be seen from the Statistics window.
Using the available filters, you can specify the depth of time: from the current month, the last 30 days or a custom date range.