Likes For Instagram + Analytics Download

I just wanted to ask this question if anyone is a marketing coordinator or manager using monday.com boards to track and follow social media campaigns including tracking and reporting analytics from Instagram and automate reporting tasks in monday.com.

I recently tried Zapier to see if they integrate with Instagram to report follows, likes, shares, etc. metrics on a social media campaign tracking board I have already on monday.com. It seems Zapier does not do this function as of yet. I already spoke to their team. Does anyone here on monday forum know of a way to accomplish this with another similar app to Zapier that will integrate with monday.com?

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By providing valuable insights, YouTube analytics empower users to make data-driven decisions. With the ability to track trends, YouTube analytics serves as an essential tool to maximize your success on the platform.

1. Check which adobe launch library is loaded in production. If you dev report suite is getting the data then either you did not configure correct report suite in adobe analytics extension or wrong environment is loaded in production for adobe launch. I believe if you type _satellite.environment you should see which environment is being loaded. Also check _satellite.property to make sure correct property is loaded. Finally check _satellite.buildInfo to check when the library was last build, should give you an indication is it is same timestamp as in adobe launch. All of the commands should be done in your browser developer console.

2. In the browser developer tools go to network tab and filter by b/ss. This should show you all adobe analytics requests. Notice that in the path of the adobe analytics server call you should see which report suite was used. The request should be successful

We are looking at possibly bring on Adobe Analytics. I am trying to understand how difficult it is to implement. I've been experienced with setting up several sites with Google Analytics(UA and GA4) using Google Tag Manager. Is setting up Adobe Analytics that much more complicated? Can I leverage what is already in place with Google Tag Manager and the Google dataLayer so we can continue to use Google Analytics as our backup analytics package or is best to start from scratch(run both tag managers)? I'm asking because I've seen implementation costs from Adobe, and partners, that are simply prohibitive.

Introduction to Facebook Social Interactions TrackingBefore you can track Facebook likes and Unlikes in Google Analytics, you first need to capture them. You can capture these events by using a method called FB.Event.subscribe(). This method is used to subscribe to a Facebook event (like liking a page) and to define callback function:

Except for total page likes and posts published, every metric under the overview section is given along with the percentage of its change compared to the number in the previous time period. This means that if you opt to see the data for the whole month of January, the analytics will calculate the percentage of increase or decrease in the numbers compared to those in December.

The percentage given under Audience Insights shows the percentage of change in the number of fans (people who liked your page) in the present time period compared to the one previous to it. Meaning the number of page likes in the week of 31st January to 6th February is 0.29% more than the page likes' number from 24th to 30th January.

Audience engagement provides you with all the metrics that show how your audience interacted with your posts with some click actions- likes, reactions, comments, and shares or any other type of activity such as answers, claims and check-ins.

The Net Likes on your Facebook page is a breakdown of all your new Page Likes minus all the Unlikes (people that have Unliked your page). This chart is particularly useful because it lets you know if your paid efforts are generating new Page Likes.

If you want to get more detail on Page growth, compare it against Facebook Pages that you compete against and see relative growth rate rather than empirical numbers, then you need to choose a separate social analytics tool like Unmetric.

Third party social analytics platforms like Unmetric allow you to benchmark your user interactions across any time period and against any other page. This gives you a big picture view of where your Page stands and is a true indication of how your content is performing.

Finally you have the number of people who have Unliked your Page. As heartbreaking as this may be, you have to accept that there will be Unlikes for as long as you are a Facebook Page Manager. However, a significant rise in the number of Unlikes is a cause for concern. As mentioned earlier, if your brand decides to take a position on a divisive social cause, disagreement could manifest itself in an increase in Unlikes. In such a case it would be useful to track whether there was a corresponding rise in new Page Likes.

That said, there is one way to get some high level country-wise data on which location a brand is engaging with best. By using the People Talking About This metric, which is defunct in your Facebook Insights page analytics dashboard but still available in the open graph, we can find out which countries are engaging best with the brand.

We'll introduce the analytics landscape and walk through each stage of the data analysis workflow, then introduce an interactive measurement planning exercise to help you learn how to define success and build frameworks for identifying, tracking, and optimizing KPIs.

In this guide, we take you through some of the most popular GA alternatives that offer overlapping or complementary features so you can curate the right analytics tech stack to track, optimize, and grow your website.

How Fathom compares to Google Analytics: Unlike GA4, Fathom uses cookieless tracking, meaning it can collect data from users who clear cookies or use ad-blockers. Fathom tracks basic analytics data, like pageviews, referral source, UTMs, and custom events, and displays it all in a one-page dashboard that is much simpler to use and understand than Google Analytics (especially GA4). If you need more advanced reporting options, a different tool, like Piwik Pro (see below), might be more suitable.

When you think about qualitative data and web analytics, you might think about researching, surveying, and then arranging insights about your website visitors into categories to learn how to improve their customer journey. For example, the qualitative insights you get as a result of asking open-ended questions could tell you exactly who your audience is, why most customers prefer one product over another, or why visitors are abandoning their shopping carts.

Quantitative web analytics tools can answer questions like how many?, how often?, or how much? For example, you can find out how many visitors reached a landing page, how often they clicked through a funnel, and how much time was spent on your site before they dropped off or exited.

Since analytics needs are highly variable across teams and undergo frequent evolution within teams, this article will not attempt to provide guidance on choosing the tools that are right for you. Instead, we'll shift our focus to understanding the cause of the trends we're observing, and how embracing this evolution and leveraging its benefits may serve as the catalyst to take our analytical capabilities to the next level.

Consider tools such as Stitch, Singer, and Fivetran for data consolidation, Redshift, BigQuery, and Snowflake for data warehousing, or dbt for data transformation. What these tools all have in common is that they are being designed within the bounded contexts of the modern analytics infrastructure (Fig. 3). In choosing this design, they are providing us the foundations to construct evolutionary architectures; architectures that acknowledge and prepare for an inevitable future where technologies become obsolete and requirements change.

When a post on Facebook gets many likes and comments from friends, it signals to the Facebook algorithm that this post is important. And if the user has liked or commented on several posts from a certain Facebook Page, this user is likely to start seeing more posts from that page.

Instead of just checking if someone follows, likes, or is a fan of something, monitoring tools can gather data from all over the internet. This data helps paint a comprehensive picture of what consumers are saying about a brand. With the help of social media monitoring tools, marketers can really tell how strong or popular their brand is online and benchmark themselves against the competition.

Social media engagement refers to how people interact with your social media content. These interactions may involve likes, shares, reposts, comments, saves, plays, and other actions, depending on the platform.

Step 4: You will get a page displaying various options relating to your video, including views, comments, likes, and dislikes. Click on the Like (vs. Dislikes) button. You can have a clear look at the likes and dislikes of each of your videos. You can even sort your video list based on date. 17dc91bb1f