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When it comes to social media traffic, you must be aware of dark social traffic. This type of traffic can have a significant effect on your site and its performance. Though not demonic in any way and less sinister, this can be troublesome to the social media managers. Dark social traffic refers to social sharing by people that you cannot track accurately. This is because this traffic is not picked up by the different web analytics platforms.
In theory, the web analytics platform will tell you the source of the referral when somebody clicks on a link to your site from any open social platform such as:
However, it will fail to do so if people share their links through private messaging apps. These apps include:
It will fail even if they continue to share the links through platforms like email or SMS.
Millions of people follow this practice today to send a lot of traffic to the publishers. However, these links lack referral tags, and therefore when someone who receives these links clicks on it, their visit will be shown as ‘direct’ traffic. This is pretty unfair because these are in no way direct traffic. Therefore, there is no way you can tell the difference using analytics because it comes from untraceable referrals.
It is essential to see your dark social traffic as well as your followers for Instagram but when you use a traffic tracking tool like Google Analytics, you will inevitably be thrown off by the substantial relative amount of direct traffic to your site.
Ideally, this will indicate that all these visitors have typed your URL into a toolbar or have clicked on a bookmarked link. Practically, it is hard to believe that all visitors to your home page have typed those specific URLs into the toolbar. It is, therefore, time to guess that a part of this traffic stems from dark social.
It is, therefore, vital to find dark social content. There are a few good reasons for it.
However, if the link is clicked on any open social platform, it will mean that the bar of the link to click is minimal. It will also indicate that the engagement that follows is deeper already. The primary reason for this is that the content is personally suggested by someone known to the reader. This proves that the content is golden, and you should keep on providing it.
Tracking dark social traffic seems to be elusive. However, you can configure Google Analytics to see likely dark social traffic. Such configuration in the analytics is required because you will not find a report termed as ‘Dark social traffic.’ irrespective of the fact that the tool is powerful and have a lot of potentials.
To work around the dark social traffic data, here is what you should do to configure Google Analytics.
If you want to create a new filter, click on the Advanced link on the right. The first filter will appear as default, where you can include a page. If you want to change Include to Exclude in the drop-down menu list, select Page as its dimension and then type the directory of one of the simpler web pages in the field at the end of the row.
If you are confused about the whole thing, then you can use one of the several tools available that will help you to track dark social content sharing. These tools will also help you to manage your account properly to avoid dark social sharing.
Some of the most popular tools that you can use include:
All you need to do is create an account, download the code, app, and plugin, apply the code to the site and start tracking the shares.
People will always continue to share things privately, finding one way or the other. Even if they do not intentionally always, sometimes they do a quick copy-and-paste from a site browser into a text message. This seems to be the easiest and best choice, but it puts businesses in the dark, often to the extent of 70 to 80%.
However, there is no need for you to be in the dark as these tools will help you to decipher your traffic and analyze it. Mtoag is an mobile app development company with a proficient team of Android and iOS app developers . Get in touch with us for mobile app development.
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Successful Projects
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We have been working with Mtoag Technologies for the past 5 years. They have been a very responsible team from the beginning. They are quick at responding, available whenever we need, and are extremely supportive when there’s a high-priority fix. All-inclusive, IAD can be your best bet for app development.
Dairy Delivery Software
Native Milk always had to deal with route optimization to maximize profit and frequent changing of delivery boys. While this was easily manageable manually in offline business, it was a big headache when their business went digital.
We developed a mobile application for the drivers with route optimization. The total delivery area is divided into various routes and orders are sorted according to different routes. A driver is then assigned a single route.
Construction Software
PlanTech, (Construction Project Management software Case Study) a well-established US based construction company with huge projects, needed an improvement of their business processes and better optimization of their resources. As their business expanded, projects continuously got delayed which resulted in lawsuits by unhappy clients. We faced a variety of challenges to develop niche technological solutions for a company involved in the construction industry.
We designed separate web and mobile applications for foremen i.e. project managers and for construction staff (labourers). The applications has synchronized features such as calendar, attendance etc. that were updated real time Simple user interface for the layman was developed after many iterations and approval from the client.
We developed a dedicated central project management panel. The purpose was to have a centralised system update where all team leaders from different departments could update on their tasks at work.
Trading Software
We needed a fast technology to synchronize the source data to our system.
We had to run our programs real time during the horse race.
We ran our calculations on the given data, but by the time we generated an analysis of the probable winner, the market trends and positions of the race horses altered so our result had no value.
We used the Node JS as it as an open-sourced JavaScript run-time environment that has the fastest libraries.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
We could run our program with race data and generate results using the latest trends up-to-the-second with more than 99 % of the source data matching with our index.
On-Demand Delivery App
The client was clear with their needs but was not tech savvy enough to state specific requirements.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We initiated brainstorming sessions with the client to plan out the project.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
NFC
The client had an understanding of NFC but they had no idea of how the technology behind NFC works.
The client needed a secure platform as they wanted to keep the customer data secured.
We did a knowledge transfer with the client and explained the technology behind NFC and QR code.
We undertook a variety of security measures to prevent any leakage of user data.
Loan
The oldest insurance company of Lebanon reached out to us. They needed to digitize their operations and develop a lending application.
The target customers of the bank were mostly laymen with not much technical know-how. They consisted of old people, rural families, middle class urban families etc. Thus digitization was a challenge.
We developed a mechanism for the bank to directly disburse the loan amount to the customer’s bank account. This saved a trip to the bank of the customer and saved a lot of time for both the parties.