I'm a little embarrassed to admit this, but checking Instagram is one of the first things I do in the morning. But, I know I'm not alone. Did you know that Instagram went from one million users in December 2010 to over one billion in 2020? In fact, it's one of the most popular social media platforms in the world. So, you might be wondering, "How can I use this platform?" Well, a great way to engage with your audience is through an Instagram poll. According to HubSpot research, quiz or poll stickers are one of the most popular Instagram Story formats. Polls are a great way to keep in touch with your audience and even conduct market research. In this post, let's learn how to set up a poll on Instagram and discuss how you can use this feature. 1. Open Instagram and swipe left.To get started with Instagram polls, the first thing you need to do is open the app. Then, you'll swipe left. This will take you to the screen where you can post on your Stories. 2. Make sure you're posting to Story (underneath the record button).Once you're here, make sure that you're posting to your Story. Underneath the record button, you'll see whether you're posting a Story, a Reel, or going Live. To post a poll, make sure you're posting to your Story. 3. Take the video or picture you want to post.Now, just take the video or picture you want to post. If you have it saved, you can just select the content from this screen by clicking on the picture icon on the bottom left. This will take you to your camera roll where you can select a video or image. 4. Click the sticker icon on the top right.To add the poll, click on the sticker icon on the top right. It's the third icon from the left. 5. Scroll down and choose poll or look for the sliding poll.Now you should see different sticker options including location, time, questions, and more. Scroll down and choose the poll icon. You can either do a question and answer poll, or a sliding poll. To choose a sliding poll, you'll want to scroll until you find the slide bar option. 6. Type in the question and responses.If you chose the question and answer poll, it's time to type in your question and the possible responses. If you chose the slide bar, you'll want to type in your question and then add an emoji to the sliding bar. 7. Click "Send To" and then share your poll to your Story.Now all that's left to do is post. To do this, just click "Send To" and then share the post on your Story. 8. Track results.Once you've posted a poll, it's time to wait for the responses. To view the results, you'll want to watch your Stories. Then, click the "Seen by" icon in the bottom left corner. This will show you who voted and the results. Here, you'll also see a button to "Share Results." You can click that and post the results to your Story to let your viewers know the outcome of the poll. When you're creating a poll, remember to place it strategically. You don't want people to have problems voting because of the placement. Make sure your poll is placed near the center, and not too high or low that the other Story icons block it. As you can see, posting a poll on Instagram is a simple process. But, how do you use this feature? Here are some of the top ways you can use Instagram polls:
Ultimately, the point of using Instagram polls is to engage with your followers and capture their attention. To learn more about Instagram marketing, you can take HubSpot's Instagram Training course. via Marketing https://ift.tt/2S8f409 tin tran https://tintran.org/mmo 0919992336 tin tran #tintran #trantantin #trantin
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Posted by rjonesx. One of the most difficult decisions to make in any field is to consciously choose to miss a deadline. Over the last several months, a team of some of the brightest engineers, data scientists, project managers, editors, and marketers have worked towards a release date of the new Page Authority (PA) on September 30, 2020. The new model is exceptional in nearly every way to the current PA, but our last quality control measure revealed an anomaly that we could not ignore. As a result, we’ve made the tough decision to delay the launch of Page Authority 2.0. So, let me take a moment to retrace our steps as to how we got here, where that leaves us, and how we intend to proceed. Seeing an old problem with fresh eyesHistorically, Moz has used the same method over and over again to build a Page Authority model (as well as Domain Authority). This model's advantage was its simplicity, but it left much to be desired. Previous Page Authority models trained against SERPs, trying to predict whether one URL would rank over another, based on a set of link metrics calculated from the Link Explorer backlink index. A key issue with this type of model was that it couldn’t meaningfully address the maximum strength of a particular set of link metrics. For example, imagine the most powerful URLs on the Internet in terms of links: the homepages of Google, Youtube, Facebook, or the share URLs of followed social network buttons. There are no SERPs that pit these URLs against one another. Instead, these extremely powerful URLs often rank #1 followed by pages with dramatically lower metrics. Imagine if Michael Jordan, Kobe Bryant, and Lebron James each scrimaged one-on-one against high school players. Each would win every time. But we would have great difficulty extrapolating from those results whether Michael Jordan, Kobe Bryant, or Lebron James would win in one-on-one contests against each other. When tasked with revisiting Domain Authority, we ultimately chose a model with which we had a great deal of experience: the original SERPs training method (although with a number of tweaks). With Page Authority, we decided to go with a different training method altogether by predicting which page would have more total organic traffic. This model presented several promising qualities like being able to compare URLs that don’t occur on the same SERP, but also presented other difficulties, like a page having high link equity but simply being in an infrequently-searched topic area. We addressed many of these concerns, such as enhancing the training set, to account for competitiveness using a non-link metric. Measuring the quality of the new Page AuthorityThe results were — and are — very promising. First, the new model obviously predicted the likelihood that one page would have more valuable organic traffic than another. This was expected, because the new model was directed at this particular goal, while the current Page Authority merely attempted to predict whether one page would rank over another. Second, we found that the new model predicted whether one page would rank over another better than the previous Page Authority. This was especially pleasing, as it laid to rest many of our concerns that the new model would underperform on old quality controls due to the new training model. How much better is the new model at predicting SERPs than the current PA? At every interval — all the way down to position 4 vs 5 — the new model tied or out-performs the current model. It never lost. Everything was looking great. We then started analyzing outliers. I like to call this the “does anything look stupid?” test. Machine learning makes mistakes, just as humans can, but humans tend to make mistakes in a very particular manner. When a human makes a mistake, we often understand exactly why the mistake was made. This isn’t the case for ML, especially Neural Nets; we pulled URLs with high Page Authorities under the new model that happened to have zero organic traffic, and included them in the training set to learn for those errors. We quickly saw bizarre 90+ PAs drop down to much more reasonable 60s and 70s… another win. We were down to one last test. The problem with branded searchSome of the most popular keywords on the web are navigational. People search Google for Facebook, Youtube, and even Google itself. These keywords are searched an astronomical number of times relative to other keywords. Subsequently, a handful of highly powerful brands can have an enormous impact on a model that looks at total search volume as part of its core training target. The last test involves comparing the current Page Authority to the new Page Authority, in order to determine if there are any bizarre outliers (where PA shifted dramatically and without obvious reason). First, let’s look at a simple comparison of the LOG of Linking Root Domains compared to the Page Authority. Not too shabby. We see a generally positive correlation between Linking Root Domains and Page Authority. But can you spot the oddities? Go ahead and take a minute… There are two anomalies that stand out in this chart:
Here is a visualization that will help draw out these anomalies: The gray spaces between the green and red represent this odd gap between the bulk of the distribution and the outliers. The outliers (in red) tend to clump together, especially above the main distribution. And, of course, we can see the poor distribution at the top of PA 99s. Bear in mind that these issues are not sufficient to make the new Page Authority model less accurate than the current model. However, upon further examination, we found that the errors the model did produce were significant enough that they could adversely influence the decisions of our customers. It’s better to have a model that is off by a little everywhere (because the adjustments SEOs make are not incredibly fine-tuned) than it is to have a model that is right mostly everywhere but bizarrely wrong in a limited number of cases. The good news and the bad newsWe are in good shape insofar as we have multiple candidate models that outperform the existing Page Authority. We’re at the point of bug squashing, not model building. However, we are not going to ship a new score until we are confident that it will steer our customers in the right direction. We are highly conscientious of the decisions our customers make based on our metrics, not just whether the metrics meet some statistical criteria. Given all of this, we have decided to delay the launch of Page Authority 2.0. This will give us the necessary time to address these primary concerns and produce a stellar metric. Frustrating? Yes, but also necessary. As always, we thank you for your patience, and we look forward to producing the best Page Authority metric we have ever released. Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read! via The Moz Blog https://ift.tt/3ieHe49 tin tran https://ift.tt/2zmt50V 0919992336 tin tran #tintran #trantantin #trantin Marketing remains to be one of the most important departments for every venture. You can develop a marketing strategy to introduce your products to the market, conquer new markets, or even show improvements on your existing products. The use of The post 3 Steps to Build a Killer Digital Marketing Campaigns appeared first on Bloggers Ideas. via Bloggers Ideas https://ift.tt/2HHTOMJ tin tran https://tintran.org 0919992336 tin tran #tintran #trantantin #trantin In this post, we have featured Brandon McMillan Dog Training Masterclass Review that includes detailed insight into Brandon McMillan. Rollover Check this post? Are you worried about your lovely dog? Sometimes your pet can be a bit irritating to you. 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Want to learn drums for your hobby or for clearing out your bucket list? Then who better is there to teach you The post Sheila E. Masterclass Review 2020: Is It Worth Your Try? (Honest REVIEW) [Drafted] appeared first on Bloggers Ideas. via Bloggers Ideas https://ift.tt/3jfZ3RE tin tran https://tintran.org 0919992336 tin tran #tintran #trantantin #trantin Wondering how suddenly people around you are talking about Ukulele? Some of your friends are also starting to play this instrument? Or maybe you are experiencing a sudden vibe to play it? Well, this is not witch-craft. This is the The post Jake Shimabukuro Ukulele Masterclass Review 2020 (HONEST REVIEW) appeared first on Bloggers Ideas. via Bloggers Ideas https://ift.tt/3kVv5Tm tin tran https://tintran.org 0919992336 tin tran #tintran #trantantin #trantin |
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