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What is Programmatic Buying For PPC?

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Advancements in the advertising industry have led to data-driven methods to promote and market your business.

One relevant example is programmatic advertising.

A study found programmatic ad spend will top $59.45 billion in 2019. By 2021, $81 billion of digital display ad spend will be conducted programmatically.

How can programmatic buying benefit your business? What does it even mean? This guide will share everything you need to know about this latest marketing trend and how to leverage it for your business.

What Is Programmatic Buying?

Previously, buying ads was a long and arduous process.

Advertisers were required to purchase impressions from publishers, negotiate terms for ad inventory, and send proposal requests to get their ads out into the world.

This meant a lot of back and forth and follow-ups across multiple parties. It was costly in most cases and, worse, inefficient.

The rise of programmatic advertising has sped up the process. Advertisers can now leverage machine learning and artificial intelligence (AI) technologies to automate the ad buying process in real-time.

This graphic from PubMatic shows the difference between the different types of ad buying:

programmatic buying definition

So, how does programmatic buying work? Here’s an example to help you understand the process.

Let’s say you sell tech products, like an iPhone.

You opt for a PPC campaign to promote your products on Google. Your goal is to bid on advertising inventory to get your promotional content featured on Facebook, Google, or in a 30-second pre-roll video on YouTube.

In the programmatic buying process, cookies or anonymous data are sent to a demand-side platform where the ad-buying occurs. Data can help identify users who have visited your website, live in your geographic location, or are existing customers.

This data could help you identify people who resemble your ideal target audience. In this case, it could be users who have read an article about the latest iPhone, visited the Apple website, or searched for iPhone reviews.

How to Get Your Ads Shown to High-Converting Users With These Attributes

Real-time bidding occurs between various advertisers who want to send an ad impression to the user. This entire process is automated and based on algorithms rather than human input—and it takes less than a few seconds.

The winner of the bid gets to show their ad to the website user.

Here’s to hoping website users will click the ad and convert!

In summary, programmatic buying lets advertisers identify their target market through behavioral insights rather than just keywords, bid on those users, and deliver the ad in the blink of an eye.

Advanced ad targeting capabilities means access to high-converting consumers who are more interested in the products or services you offer.

Why You Should Use Programmatic Buying in Your PPC Campaigns

Programmatic buying lets your ads reach your ideal target audience at affordable price points.

Here are some statistics on the results of programmatic buying:

  • Programmatic advertising generated an astounding $129.1 billion in 2020 and is expected to reach 155 billion in 2021.
  • The data-driven characteristics of programmatic advertising have led buy-side decision-makers to choose this option. Nearly half (48 percent) believe data is the driving force behind their programmatic investments and strategies.
  • Fifty-two percent of publishers state they have sold more than 81 percent of their ads inventory.
  • Video is a leading driver in programmatic advertising. Fifty-four percent of agencies purchased more than 41 percent of their video inventory through programmatic advertising, compared to only 50 percent in 2019.
  • Sixty-eight percent of marketers have stated paid ads are “very important” to their marketing strategy.

These statistics prove programmatic advertising can bring a load of benefits! Here are a few more benefits to leveraging this ad-buying strategy.

Increase Reach

Programmatic buying is supported on numerous ad networks and marketing channels. It lets marketers access private marketplaces or get ad space from thousands of websites with the click of a button.

Since the entire process is automated, advertisers can scale their PPC campaigns with minimum effort while staying within their budget.

More Transparency

Publishers and advertisers can receive real-time information about ad placements and activity. More transparency guarantees every penny is well-spent while simultaneously improving ROAS (Return on Ad Spend).

Target Beyond CTR

A PPC campaign can lead to thousands of impressions and clicks. Yet, these numbers don’t matter if you aren’t generating conversions and increasing sales.

With programmatic advertising, marketers can use advanced ad targeting features. Leveraging website behavior or demographic data lets advertisers reach their intended audience at scale.

Access to Data and Results

Programmatic exchanges provide real-time information on your ad performance. Once you get the insights, you can maximize results by investing in high-performing ads.

If you have subpar ads, then consider modifying them based on data from past campaigns. As long as you know what works and what doesn’t, you can optimize your campaigns and scale fast.

When Should I Use Programmatic Buying in PPC Campaigns?

Programmatic advertising looks promising, but it may not work for everyone. In this section, I’ll discuss when programmatic buying is a good fit.

How to Use Programmatic Buying in PPC Campaigns

  1. Move Beyond the Google Display Network

    If you’re a PPC marketer, you’ve probably used the Google Display Ad Network (GDN) to reach website users. Programmatic buying can help you make the most of it.

    Programmatic buying lets advertisers connect with 80+ additional inventory sources and get placements in sites that were previously inaccessible.

    On top of this, you can reach premium inventory previously considered too small to warrant placement in the GDB or too expensive for direct buys. An example would be ad placements in popular websites like The Wall Street Journal, CNBC, Bloomberg, or Entrepreneur.

  2. Access to First-Party Data

    Marketing strategies often rely on big data to be effective.

    With modern analytical tools, we can easily monitor results and gather information about our customer base.

    Demand-side platforms (where ad buying takes place) can integrate first-party data. This includes data from your customers or audience.

    First-party data can include CRM, social, behavioral, and subscription data.

    As a result, advertisers can launch highly personalized and targeted campaigns. Similar to Facebook campaigns, they can build lookalike audiences that match the profiles of their existing target audience.

    Research-backed data also means you can create content more likely to resonate with your audience. You can also create effective campaigns to get new prospects down the sales funnel.

  3. Personalize Ads

    People are bombarded with ads 24/7 on their phones, in their email, while they watch television.

    Programmatic buying lets advertisers create ads using behavioral targeting and demographic data. Hence, they can connect with their target audience without being spammy or annoying.

    For example, the Intercontinental Hotel Group (IHG), which owns hotel chains like Holiday Inn, used programmatic advertising to compete with Booking.com and Expedia.

    According to their data, consumers opted for their competitor sites because of the myth that they offered better prices. In reality, customers were charged between 15 percent and 30 percent more than the original price.

    The campaign did well because targeted users were more aware of the cost of booking from third-party sites.
    programmatic buying IHG

5 Programmatic Buying Software Options

At this stage, you’re probably wondering how to start with programmatic buying. Let’s take a look at some of the top programmatic buying software options to consider.

Simpli.fi

programmatic buying simpli.fi

Simpli.fi’s programmatic platform lets users efficiently buy targeted impressions or ad inventory from real-time advertising exchanges.

What makes it unique is it lets marketers leverage unstructured data instead of pre-made audience segments. Users can create highly targeted custom audiences based on CRM data, browsing behavior, search history, and geographic location.

You can also use insights to understand audience behavior, and optimize audiences in real-time. This is advantageous for businesses with a huge customer base and tons of data.

For seamless analytics, it has 60+ pre-built reports which lets users easily organize data from campaign results. They also have visualization tools to help you better understand data through graphs, charts, heat maps, and tables.

Adobe Advertising Cloud

programmatic buying adobe experience cloud

Adobe Advertising Cloud offers an independent platform for programmatic buying.

The demand-side platform can plan, optimize, and manage your ad campaigns.

AI pulls audience data so advertisers can launch a paid media strategy that fosters brand awareness. Content creators can also streamline content and build meaningful user experiences.

Budget is a main concern when it comes to running PPC campaigns. With Adobe, users can use AI to analyze data and conduct performance optimization for cost-efficient spending.

AdRoll

programmatic buying adroll

AdRoll’s programmatic platform uses customer intelligence data to identify and target potential leads. It aggregates consumer purchasing behavior on your website so you can understand what works and predict audience reception.

With its powerful analytics capabilities, marketers can send relevant messages to prospects, leading to more engagement and conversions. You can also run omnichannel marketing campaigns and connect with your audience through email, social media, or web across multiple devices.

DoubleClick by Google

programmatic buying google marketing platform

DoubleClick is a programmatic ad platform that automates the ad buying process and effectively runs campaigns in real-time.

Here’s a look at some of its most notable features:

  • DoubleClick Digital Marketing Manager: Built-in intelligence to uncover significant marketing insights on trafficking and reporting. This lets advertisers make data-driven decisions and gain more control of their advertising spend.
  • DoubleClick Bid Manager: This tool helps agencies effectively purchase display media from different ad exchanges in a streamlined platform.
  • DoubleClick Search: Powerful search features provide real-time insights on KPIs and ad performance. Their Ad Data Hub leverages data from Google Ads or your own CRM system to improve your PPC campaigns. By diving into the details, you can make smart bidding decisions and run ads across multiple platforms.
  • DoubleClick Rich Media: Data dashboarding tools streamline information from Google Ads, Analytics, or spreadsheets. Their interactive dashboards also generate easy-to-understand reports so you can communicate results to teams and executives.
  • DoubleClick Studio: Workflow and production tools help marketing teams and media agencies create high-quality and compelling ads which delivers results.
  • Google Analytics: Google Analytics helps users aggregate data to create tailored lists, identify digital touchpoints, and create shareable reports. As you get more information about your company, you can better understand your target audience.

Rubicon Project

programmatic buying rubicon project

Rubicon Project has an automated advertising platform connecting media buyers and publishers from across the globe. Top brands use it to reach over a billion consumers.

The platform centralizes the traditional proposal process and deal negotiation. User-friendly tools and real-time performance analytics capabilities seamlessly consolidate the ad buying process.

Furthermore, insightful reports from their Prebid impression funnel data provide information on page load and impressions across websites and mobile apps.

Slutsats

Programmatic buying lets marketers leverage AI and big data to reach their target audience.

Not only can you identify high-intent consumers, but you can also present ads at the right time and place to maximize results. The automated bidding process speeds up the process, so you can access premium ad inventory with minimal effort.

While it has a lot of benefits, it may not be a good fit for everyone. We highly recommend this solution for advertisers who have maximized the Google Display Ad Network (GDN) or have access to first-party data.

If you want to try it out for yourself, there are multiple platforms that can help you get started in an instant.

How will you use programmatic buying to power up your marketing?

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Is a Marketing Degree Worth it in 2023?

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Is a Marketing Degree Worth it in 2023?

If you’re thinking about getting a degree at any age, it makes sense to think about the value of that degree. Is the qualification needed for the career you want? Are there alternative paths to that career? Can you develop better skills by gaining experience in work? 

All of these are perfectly valid questions. After all, getting a degree requires a pretty large investment of both time and money. You want to know that you’ll get enough return on that investment to make it worthwhile.

Why marketing?

When it comes to marketing, a lot of entry-level jobs list a bachelor’s degree as a requirement. That doesn’t mean there aren’t alternate ways to get into marketing but having a relevant degree certainly makes your resume more competitive. 

Growth industry

Marketing skills are in demand in the current jobs market. According to a recent report from LinkedIn, marketing job posts grew 63% in just six months last year. Half of those jobs were in the digital and media sectors, meaning digital and content marketing skills are highly valued

Personal Development & Career Path

The reason for this increased demand for marketers is tied to the rise in digital marketing. New methods of marketing have continued to develop out of the digital sector. This means that marketers capable of creating engaging content or managing social media accounts are needed.

This leaves a lot of room for personal development. Young graduates who are well-versed in social media and community management can hit the ground running in digital marketing. Getting on this path early can lead to content strategist and marketing management positions.    

What are the Types of Marketing Degrees?

When we say marketing degree, the term is a bit too general. There are a lot of degree paths that focus on marketing in major or minor ways. The level of degree available will depend on your current education history, but the specific course will be down to your personal choice. 

Associate, Bachelor’s, or Master’s?

Recent statistics suggest that 74% of US marketing professionals hold a bachelor’s degree. 9% have an associate degree and 8% have a master’s degree. Here’s a quick overview of the differences. 

Associate degrees – 2-year courses that cover marketing and business in a more basic way than bachelor’s qualifications. They’re designed to give students the basic skills needed to apply for entry-level marketing jobs.   

Bachelor’s degrees – 3/4-year courses that cover business and economics. There is a range of bachelor’s courses with marketing at their core, but you’ll also cover wider business topics like management, communication, and administration. 

Master’s degrees – 2-year courses, usually only available if you’ve already completed a bachelor’s degree. MA or MBA courses are designed to develop a deep understanding of complex business topics. They are highly specific, covering areas like strategic marketing or marketing analytics. 

Free to use image from Pixabay

Marketing Specific or Business General? 

This is down to personal choice. There are general business degrees that will cover marketing as a module as well as marketing-specific degrees. There are also multiple universities and colleges, both offline and online, offering different course platforms

If you’re looking at a specific job role or career path, then research which type of degree is most relevant. Remember that you will need to add to your marketing skills if you intend to progress to management roles in the future. 

Check the Modules & Curriculum

This is important, and not only because it lets you see which courses align with your career goals. Marketing has changed significantly over the last decade, even more so if you go back to before the digital age. Many business courses are still behind on current marketing trends. 

What Jobs Look for a Marketing Degree?

Once you’ve got your marketing qualification, what jobs should you be looking for? Here are some job titles and areas you should watch out for, and what qualifications you’ll need for them.

Entry level

If you’re starting with a degree and no experience, or work experience but no degree, take a look at these roles. 

  • Sales/customer service roles – These are adjacent roles to marketing where most companies do not ask for prior qualifications. If you don’t have a degree, this is a good place to start.
  • Marketing or public relations intern – Another possibility if you don’t have a degree, or you’re still in education. 
  • Digital/content marketing associate – These roles will almost always require an associate’s or bachelor’s degree. A good grasp of new digital and social marketing techniques will be required to succeed. 
  • Copywriter/Bid writer – This is a good route into marketing for those with journalism or literature qualifications. These roles combine aspects of marketing, creative writing, and persuasive writing. 
  • SEO specialist – A more focused form of marketing centered on SEO content optimization. If you know how to optimize a blog post for search engine rankings, this role is for you. Bachelor’s or associate qualifications will be a minimum requirement. 
  • Social media/community manager – Since these are relatively new roles, we tend to see a mix of degree-qualified marketers and people who’ve had success fostering communities or online brands but don’t have on-paper credentials.  

Free to use image from Unsplash

Career Progression

If you have an MA or MBA, or significant experience in one of the above roles, then you can look at these more advanced roles for your career progression.

  • Digital Marketing Manager – A role for experienced marketers that involves running campaigns and coordinating marketing associates. 
  • Senior Marketing Coordinator – A department management level role. Responsible for overall marketing strategy and departmental performance.  
  • Content Strategist – A specialist role that focuses on content strategy. Designing content plans based on demographic and keyword research are a core aspect of this role. 
  • Marketing Analyst – This role involves analyzing customer behaviors and market trends. If you want to move into analysis from a more direct marketing role, you’ll likely need specific data analysis qualifications. 
  • Public Relations Specialist – The public voice of a large organization’s PR team. Managing a brand’s public perception and setting brand-level communication policies like tone of voice.   
  • Experiential Marketing Specialist – This area of marketing is focused on optimizing the customer experience. Experiential specialists have a deep understanding of customer psychology and behaviors. 
  • Corporate Communications Manager – Communications managers are responsible for company-wide communications policies. This is an executive-level role that a marketing coordinator or public relations manager might move up to. 

Average marketing salaries

Across all the roles we’ve discussed above, salaries vary widely. For those entry-level roles, you could be looking at anything from $25 – $40K depending on the role and your experience. 

When it comes to median earnings for marketers with a bachelor’s or master’s degree, we can get a bit more specific. Recent statistics from Zippia show us that $69,993 p/a is the average for bachelor’s degree holders and $80,365 p/a for master’s degree marketers. 

Image sourced from Zippia.com

Marketing Degree Pros and Cons

So, the question we asked above was “Is a marketing degree worth it?” Yet, in truth, it’s not a simple yes or no answer. The question you need to ask is “Is a marketing degree right for me?” Here’s a summary of the pros and cons that might give you some answers.  

Pros

  • Degree holders have better job prospects and higher earnings potential in marketing
  • You can study highly specific skills with the right courses
  • Gain soft skills like communication and collaboration

Cons

  • High time and money investment required 
  • Diminishing salary returns at higher levels
  • Can be a restrictive environment for self-starters and entrepreneurs

What are Marketing Degree Alternatives?

If you want to stick with education but don’t want to invest four years into a degree, then accredited online courses can provide an alternative. This can be your best choice if you wish to upskill in a specific area like running conference calls from Canada

If higher education really isn’t your thing, the other option is gaining experience. Some businesses prefer internships and training programs for entry-level roles. This allows them to train marketers “their way” rather than re-training someone with more experience.  

Free to use image from Unsplash

How to Decide if a Marketing Degree is Right for You

Ultimately, choosing to do a marketing degree depends on your goals, your preferences, and your talents. Consider all three factors before making your choice. 

Career Goals

Do you want a management position that needs marketing knowledge? What areas of marketing interest you? What skills do you already possess? Answering these three questions will help you define your career path. That will narrow down your course choices. 

If you want to get better at selling small business phone systems in Vancouver, you don’t need a four-year course for that. If you want to develop into high-level marketing roles, then you want that degree. 

Personality

You don’t need a specific personality type to work in marketing. Your personality and interests might determine what area of marketing would suit you best though. For example, if you’re outgoing and creative then public relations or social media management might be for you.    

Investment & Return

Money isn’t everything. But, if you’re going to put the resources into getting a degree, you want to know that you’ll get some return on your investment. From the figures we quoted above, it seems the “optimal” qualification in terms of salary return vs. time and money investment is a bachelor’s degree. 

Average earnings for marketers with a master’s qualification were only $10k higher. This suggests that you’re not really getting a significant financial return for the additional investment. Of course, if that master’s leads to your dream job, you might see it differently.  

Final Thoughts: Forge Your Own Path

Is a marketing degree worth it in 2023? The short answer is yes. Whether that means a marketing degree is right for you, we can’t tell you. Hopefully, though, this guide has given you the information you need to make that choice. 



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How the LinkedIn Algorithm Works in 2023 [Updated]

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How the LinkedIn Algorithm Works in 2023 [Updated]

LinkedIn bills itself as “the world’s largest professional network” — and they have the numbers to prove it. With over 875 million members in more than 200 countries and regions, LinkedIn is immensely popular and well-used. On top of the sheer size of the platform, nearly 25% of users are senior-level influencers; about 10 million are categorized as C-level executives, and LinkedIn classifies 63 million as “decision makers.”

If you’re a B2B marketer or brand, you probably already know this social media platform offers you an excellent opportunity to reach your target demographic. However, seizing that opportunity is easier said than done since LinkedIn uses a unique algorithm to serve content to users.

In this article, we will walk through how the LinkedIn algorithm works in 2023, best practices for beating the algorithm with organic content, and how brands can elevate their presence on the platform.
 

What is the LinkedIn Algorithm?

 
The LinkedIn algorithm is a formula that determines which content gets seen by certain users on the platform. It’s designed to make each user’s newsfeed as relevant and interesting to them as possible to increase engagement and time spent on the platform. In this way, the LinkedIn algorithm is similar to the Facebook or TikTok algorithm, though LinkedIn’s is slightly more transparent (which is good news!). 

In fact, LinkedIn itself is a good source for demystifying the algorithm and understanding what content is prioritized for members. But the general function of the LinkedIn algorithm is to review and assess billions of posts every day and position those that are most authentic, substantive and relevant to each user at the top of their feeds.  

How the algorithm achieves that function is a little more complex.
 

How the LinkedIn Algorithm Works in 2023

 
 
LinkedIn users’ feeds don’t show posts in chronological order. Instead, the LinkedIn algorithm determines which posts show up at the top of users’ feeds, meaning that sometimes users see older or more popular posts before they see more recent ones.

Several factors influence the LinkedIn algorithm, and the factors change relatively often. Let’s take a closer look.
 

1. Assess and Filter Content by Quality

 
When someone posts on LinkedIn, the algorithm determines whether it’s spam, low-quality, or high-quality content. High-quality content is cleared, low-quality content undergoes additional screening, and spam content is eliminated. 

 

  • Spam – Content flagged as spam can have poor grammar, contain multiple links within the post, tag more than five people, use more than ten hashtags (or use expressly prescriptive hashtags like #follow, #like, and #comment) or be one of multiple postings from the same user within three hours. 
  • Low-quality – Content categorized as low quality isn’t spam but is judged as not particularly relevant to the audience. These posts can be hard to read, tag people who are unlikely to respond or interact, or deal with topics too broad to be interesting to users.  
  • High-quality – “Clear” content is easy to read, encourages engagement, incorporates strong keywords, uses three or fewer hashtags, and reserves outbound links to the comments. In other words, it’s something your audience will want to read or see and react to in a substantive way.

 

2. Test Post Engagement with a Small Follower Group

 
Once a post has made it through the spam filter, the algorithm distributes it to a small subset of your followers for a short time (about an hour) to test its ability to generate engagement. If this group of followers likes, comments or shares the post within this “golden hour,” the LinkedIn algorithm will push it to more people. 

If, on the other hand, the post is ignored, or your followers choose to hide it from their feeds (or, worst of all, mark it as spam), the algorithm will not share it further.  
 

3. Expand the Audience Based on Ranking Signals

 
If the algorithm decides your post is worthy of being sent to a broader audience, it will use a series of three ranking signals to determine exactly who sees it: personal connection, interest relevance och engagement probability. 

These signals boil down to the level of connection between you and the user who potentially sees the post, that user’s interest in the content’s topic and the likelihood of that user interacting with the content. We’ll break down exactly what these ranking signals are further in the post.
 

4. Additional Spam Checks and Continued Engagement Monitoring

 
Even after a post is pushed to a broader audience, the LinkedIn algorithm continues monitoring how users perceive it in terms of quality. If your content is marked as spam or entirely ignored by the new audience group, LinkedIn will stop showing it to those audiences. On the other hand, if your post resonates with new audiences, LinkedIn will keep the post in rotation. So long as the post gets a steady stream of engagement, posts can stay in circulation for months.
 

8 Best Practices to Make the LinkedIn Algorithm Work for You

 
 Understanding how the LinkedIn algorithm works is the first step to reaching more people on LinkedIn and ensuring your content is well-received and engaging. The next step is optimizing your content based on the factors the algorithm prioritizes to maximize its effect. This is where mastering the ranking signals comes into play.

Here are eight tips for crafting high-performing LinkedIn content:
 

1. Know What’s Relevant to Your Audience

 
Relevance is what the algorithm prizes above all other content qualities. For LinkedIn, relevance translates to engagement, which leads to more time spent on the platform, which results in more ad revenue and continued growth. Following this tip will win you points in the “interest relevance” and “engagement probability” ranking categories. 

The entire LinkedIn ecosystem is set up to prioritize highly relevant content. To ensure your posts are relevant, create content focused on your niche and your audience’s specific needs and interests. As LinkedIn’s then-Director of Product Management Linda Leung explained in 2022, “we are continuously investing in the teams, tools, and technology to ensure that the content that you see on your feed adds value to your professional journey.” 

Use customer research and analytics from other social media platforms to learn more about what your audience wants to know. Focus on creating high-quality, valuable content that helps professionals succeed in formats they prefer (for example, videos, which get three times the average engagement of text-only posts). But above all, posting content that is personal and has industry relevance is vital. 
 

2. Post at the Right Time

 
As with most things, timing is crucial for successful LinkedIn posts. It’s even more critical when considering the “golden hour” testing process integral to the algorithm’s rankings. Remember, how much interaction a post gets within the first hour after it’s published determines whether it gets pushed to a broader audience. That means posting at the optimal time when your followers are online and primed to respond is a central factor to success.

You are the best judge of when your top LinkedIn followers and people in your network are most likely to be on the platform and engaging with content. But for the general public, data suggests the best time to post is at 9:00 a.m. EST on Tuesdays and Wednesdays. Cross-reference these times with your own analytics and knowledge about your audience — like a common time zone, for example — to find the best time for your posts.
 

3. Encourage Engagement

 
Your post format can play a significant role in user engagement. The LinkedIn algorithm doesn’t explicitly prioritize videos over photo and text posts, but LinkedIn’s internal research has found video ads are five times more likely to start conversations compared to other types of promoted content. 

Asking a question is another great way to encourage interaction with your post. If you’re sharing industry insights, open the conversation to commenters by asking them to share their opinions or experiences on the topic. 

Additionally, tagging someone in your LinkedIn post can expand its reach, but only tag relevant users and people likely to engage with the post. You don’t automatically get in front of a celebrity’s entire following just because you tagged them. In fact, the algorithm’s spam filter can penalize your post for that. But when you tag someone relevant, the tagged person’s connections and followers will also see your post in their feeds. 
 

4. … But don’t beg users to engage

 
The LinkedIn algorithm penalizes posts and hashtags that expressly ask for an engagement action like a follow or a comment. In an official blog post from May 2022, LinkedIn said that it “won’t be promoting” posts that “ask or encourage the community to engage with content via likes or reactions posted with the exclusive intent of boosting reach on the platform.” Essentially, content that begs for engagement is now considered low-quality and should be avoided.
 

5. Promote new posts on non-LinkedIn channels

 
LinkedIn doesn’t exist in a vacuum, and neither do its users. Content that gains traction in other channels can help boost LinkedIn posts and vice versa. Sharing posts on your website, other social media platforms, or with coworkers can spark the initial engagement required for a viral LinkedIn post. Promoting content on other channels can also encourage inactive LinkedIn users to re-engage with the platform, and that interaction will be interpreted as net new engagement for your post.
 

6. Keep Your Posts Professional

 
As the “professional social networking site,” LinkedIn has a well-honed identity that extends to the type of content it favors. Specifically, business-related content that users will find relevant and helpful to their careers or within their industry. 

This might seem common sense, but it can be tempting to think that content that earns lots of clicks or likes on other social media platforms will perform similarly when cross-posted on LinkedIn. Unfortunately (or fortunately), hilarious memes, TikTok dance clips and personal videos don’t resonate with the LinkedIn algorithm. 
 

7. Avoid Outbound Links
 
 

The urge to include an outbound link in a LinkedIn post is real, especially for B2B marketers using LinkedIn to generate leads and traffic to their websites. But this is universally regarded as a tactic to avoid. LinkedIn wants to keep users on the platform and engaging; link-outs defeat that purpose. Therefore, the algorithm tends to downgrade content that includes an outbound link. 

Posts without outbound links enjoyed six times more reach than posts containing links. Does that mean there’s no room for a link to your brand’s website or blog with additional resources? No. But the best practice is creating content that encourages a conversation and letting the audience request an outbound link. If you feel compelled to link to something off-platform, include that link in the comments. 
 

8. Keep an Eye on SSI

 
LinkedIn has a proprietary metric called the Social Selling Index, which measures “how effective you are at establishing your professional brand, finding the right people, engaging with insights, and building relationships.” Per LinkedIn, social selling leaders create 45% more opportunities than those users with lower SSI scores.

A higher SSI boosts users’ posts closer to the top of their audience’s feeds. While this impacts post visibility for individual posters rather than brands and companies, it remains a significant influence on LinkedIn’s algorithm and is worth noting. 

Källa: Business 2 Community
 

An Overview of Ranking Signals on LinkedIn’s Algorithm

 
 
As mentioned earlier, there are three ranking signals the LinkedIn algorithm uses to rank posts in a user’s feed:
 

  1. Personal connections
  2. Interest relevance
  3. Engagement probability

 
And here’s how each signal impacts a post’s ranking:
 

Personal Connections

 
In 2019, LinkedIn began deprioritizing content from mega influencers (think Oprah and Richard Brandon) and instead began highlighting content from users’ personal connections. To determine a user’s connections, LinkedIn considers these two things:
 

  1. Who a user works with or has previously worked with
  2. Who a user has interacted with before on the platform

 
At the top of the feed, users now see posts by people they engage with often and by anyone who posts consistently. Users also see more posts from connections with whom they share interests and skills (according to their LinkedIn profiles). 

That said, as of 2022, LinkedIn is also “creating more ways to follow people throughout the feed experience,” including thought leaders, industry experts, and creators that may be outside of a user’s network. So it’s important to remember that personal connection is just one factor influencing post ranking.
 

Interest relevance

 
Relevance is another of the three ranking signals – and in many ways, the most important one. LinkedIn explains on its engineering blog: “We already have a strong set of explicit and implicit signals that provide context on what content a member may find interesting based on their social connections and the Knowledge Graph (e.g., a company that they follow, or news widely shared within their company).”

LinkedIn also uses what they call an “interest graph” that represents the relationships between users and a variety of topics. This lets the LinkedIn algorithm measure the following:
 

  • How interested users are in certain topics
  • How related are different topics to one another
  • Which connections share a user’s interests

 
The algorithm also considers the companies, people, hashtags, and topics mentioned in a post to predict interest. To maximize the interest relevance ranking, you have to understand your target audience and craft content that they’ll find relevant.
 

Engagement Probability

 
Interaction plays a significant role in a post’s ranking on LinkedIn. The platform uses machine learning to rank interaction in two ways:
 

  1. How likely a user is to comment on, share, or react to a post based on the content and people they have interacted with
  2. How quickly a post starts receiving engagement after it’s published. The faster users interact with a post, the more likely it will appear at the top of others’ feeds

 
Users who regularly interact with others’ posts in their LinkedIn feed are more likely to see interactions on their content, which in turn means that they’ll be more likely to show up on other people’s feeds.
 

Elevate Your Brand’s LinkedIn Presence

 
The LinkedIn algorithm can seem intimidating, but it really isn’t. It relies on a series of rules and ranking measures that can be understood and mastered to present users with content they find helpful in their professional lives.

Knowing that the algorithm prioritizes engagement, relevance and connection will help get your posts in front of more LinkedIn users and improve your overall performance on the platform. And by following the eight best practices outlined in this article, you’ll be able to keep your audience’s interest and create plenty of opportunities for them to engage with your content. 

Tinuiti helps brands strengthen relationships with new and current customers through expert social media strategy and brilliant creative. Reach out to our Paid Social services team to learn how to start advancing your LinkedIn strategy today.

Editor’s Note: This post was originally published in September 2021 and has been regularly updated for freshness, accuracy, and comprehensiveness.

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A Digital Practioner’s Guide to Starting the New Year Right



It’s that time of year again – the holiday excitement has faded as we fall back into the workweek. With a year’s worth of work stretched in front of us, there can be both a sense of opportunity and overwhelmedness 

Because transitioning back into the swing of things can be daunting, We’ve gathered key takeaways from the previous year, global Opticon Tour, and how we can successfully apply those learnings in 2023.  

1. “Work about work” is holding teams back. Take this chance to declutter.  

Consider the reality of what most digital teams are up against. When it comes to managing the content lifecycle, draft documents that are stored in separate places and disparate tools that don’t work together are the norm for many. With no centralized point of communication and cumbersome workflows, it can take forever for teams to create and approve content, and work is often duplicated or unused.  

After work is completed, it can be easy to dismiss the headaches caused by inefficient, siloed workflows and processes. But the long-term effects of inefficient and bulky collaboration can be detrimental to a brand’s digital experience – and bottom line. (Those who joined us in San Diego at Opticon might recall this concept played out via ). 

Digital teams with unwieldy content lifecycles can take back control using , saving countless hours and frustration over the year.  

2. Change is constant. Set your team up to be adaptive. 

We all know how difficult it is to create amazing customer experiences these days. The world is moving faster than ever, and change is constant and chaotic with uncertainty on nearly every level: economic upheaval, rapid cultural change, ever-escalating customer expectations (thanks, Amazon), and a tight talent market.  

To not only stay the course but to also grow in this unpredictable environment, it’s important that teams constantly stay on the lookout for new ways to drive more sales and increase loyalty. In other words, consistently deliver modern, relevant, and personalized commerce experiences.  

But keeping pace doesn’t necessarily mean working harder. Optimizely’s Monetize solutions, teams can drive sales and loyalty with fewer costs and efforts.  

3. Data fuels a great customer experience. Test and optimize every touchpoint. 

As practitioners, we all know that the best customer experience wins.  

When teams don’t clearly understand what’s happening and when, they miss the mark. With little patience and high expectations, today’s customers will simply switch to a competitor that better understands them and provides a more personalized experience.  

But when teams work together to inject data across silos, they have the insight needed to make the right decisions and create with confidence.  

For instance, take the marketing team: with access to a slew of customer touchpoints and experimentation data, marketers should be a critical resource for understanding customers’ wants and needs. Developers, product teams, and beyond should utilize this data to remove the guesswork and inform strategies, priorities, roadmaps, and decisions.  

With customer-centricity at the heart of any great digital experience, the best experiences are fueled by data uncovered by high-velocity experimentation. Consider the power that Optimizely’s Experimentation products can have on your entire team’s ability to unlock personalized insights and better connect with customers.  

Hopefully, your new year is off to a great start – but if you’re feeling a little off track, contact Optimizely today to learn more about our DXP can impact your business and set you up for a successful and productive year.  

A special thanks to our sponsors at Opticon London – Microsoft, Google Cloud, Valtech, and Siteimprove – and Opticon Stockholm – Microsoft, Google Cloud, Valtech, and Contentsquare. 


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