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How to Measure the Impact of Content Based on Intent

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How to Measure the Impact of Content Based on Intent


The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

When it comes to measuring the impact of content, you might think of KPIs like “sitewide conversion rate”, or picture an upward graph that shows an increase in traffic.

But are those metrics really meaningful? In this piece, I’ll argue that, no, they’re not. Instead, let’s focus on getting you actionable insights that can help your content flourish, by measuring its impact in a meaningful way.

The problem with sitewide conversion rates

Unless your website is a one-pager, the likelihood is that not all of your pages have the same intent. So why do we still measure conversion rates across an entire site?

The quick and honest answer here is that we do this because it’s easy and because that’s the way it’s always been done. But in reality, measuring your conversion rate across an entire site doesn’t give you any actionable insight – even when used in conjunction with volume of traffic.

It’s an oversimplification.

Using a sitewide conversion rate neglects to consider pages where the intent isn’t to buy something. Think about your blog pages, customer services or FAQ pages. A growth in traffic to these sections won’t directly lead to an increase in sales. But what it will do is drop your sitewide conversion rate. That’s not a bad thing, it just means that using sitewide conversion rates on their own isn’t the best way of measuring performance here.

The answer instead, is to make sure you can report on the intent of your pages to be able to understand what’s performing well and what’s not in their own right.

How can you do this? Well… we separate the pages in our reports based on their intent.

Separate pages based on their intent for reporting

Separating out pages based on their intent for reporting might sound like a pain, but there are ways you can automate this.

The biggest trick you can use is the URL structure. If you have a neat hierarchy, then this can work wonders to help you to group your pages in a way that makes sense to you.

Once they’re set up, you’ll be ready to report on your performance in a flash next time!

Here’s how you can do this in Google Analytics, Data Studio and in Excel/Google Sheets.

How to create segments in Universal Google Analytics

Creating custom segments in Universal Google Analytics allows you to pull out your data in a way that makes sense to you. It also allows you to quickly pull these segments into other reports, saving you countless hours.

What about GA4? “Segments” aren’t available in standard reports in GA4. An alternative called “Comparisons” are, but they can’t be saved once you exit the report. The key mechanics of how Comparisons work is similar to Segments, but can only be used as a quick review rather than an in-depth report. For in-depth reports that use Segments in GA4, you’ll need to visit “Explore” from the left hand tab and set up a new report.

If you haven’t used segments yet in Universal Analytics, you’ll find these by clicking on the blue circle of “All Users”. You’ll also see a button for “Choose segment from list” when looking at virtually any report in Google Analytics.

In Universal Analytics, you’ll see a list of segments that have already been created for you. But for now, these aren’t the ones we want to use. We want to create our own almighty segments.

So go ahead and click the big red button of “+ New Segment”.

Now you’ll need to give your segment a name that will help you find it again later.

Here you can segment your data in pretty much any way you can think of. But for the purposes of today, we’re looking to create a segment to work out your conversion rate based on the intent of the page they landed on. For that, we need to head over to the “Advanced” section under “Conditions”.

This is the place where the magic happens.

You can first choose whether you want to filter based on sessions or users. As we want to find sessions that started on a particular section of your site, you’ll want to keep this filter to “Sessions” and “Include”.

Next, you need to think about what section of the site you want to look at. One of the easiest ones you can start with is blog traffic, especially if you have /blog/, /news/ or similar as the defining hierarchy in your URLs.

If you have both sections, then you can lump these together by using the “OR” function of the filter. This will then show you all of the data based on landing pages that contained either the /blog/ or /news/ in the hierarchy.

One tip: be careful which match condition you use. If you choose “exact match”, then this data might not include ALL of your data, as it won’t include any page landings where parameters were appended. Equally, if you have a hierarchy where the URL you’re looking to match is also used in other pages, then you might have to add exclusions to your filter.

When setting up your segment, always double check your data against your expected raw data in Google Analytics to check for accuracy. Small differences in the way you’ve set up your segments can impact the reliability of your data as you could either under- or over-estimate the volume of traffic, conversions or goals by assuming that your segment is giving you an accurate view. So, manually checking the raw data output against your logic can help to find any holes (or you could even create counter-segments using the reverse logic to check that you’ve covered 100% of your raw data).

When you save your segment, you’ll be able to review your subset of data in seconds, and pull them into other external reports.

Here’s an example of what you’ll typically find when you’re looking at a conversion rate for all users, alongside your segments for commercial pages and blog pages.Your ‘true’ conversion rate for the pages that are designed to convert is much higher than your sitewide conversion rate. You’ll also see that your blog traffic (that might not be designed to convert) has a lower conversion rate – which has impacted your sitewide conversion rate, skewing your outlook on how they’re actually performing.

How to create segments in GA4

To use segments in GA4, you’ll need to visit the “Explore” section. Here, you’ll be able to create your own custom reports and delve deeper into your segmented data. If you’re new to GA4, it’s worth reading Google’s guide to Explorations.

In Explore, segments can be found when setting up your report — you can even add a separate comparative segment to benchmark your data against.

To add a new segment, click on the “Segments” section shown below on the left.

You’ll then be given options to “Include” and “Exclude” your dimensions based on metric values.

As the naming conventions of dimensions in GA4 are different to Universal, you’ll need to include sessions where the “Page location” (URL to me and you) contains “/blog/”. You can add “Or” statements here too if needed.

Once you’ve set up your report, with Explore, you can customize the metrics to view in your reports and choose how to visualize it, unlike Universal Analytics. The world is your oyster to create custom content-based reports here!

How to create Data Studio filters

I love using Google Data Studio. I think it’s an underused tool for content management. Sure, it’s used a lot for top-level reporting, but I’m talking about the real juicy, actionable reports.

When it comes to making deep-diving reports, using Data Studio saves time and allows you to bring together data from different sources like Google Sheets, Search Console, and Google Analytics.

When setting up your data sources from Google Analytics, you’ll be given the option of adding a Google Analytics segment (you’ll have to scroll down to the bottom of your data tab). Here you can import any segment you’ve already made. I’ve imported one of my brand’s Google Analytics segments:Staysure blog.

As well as being able to import segments, you can also create your own filters when you click on “Add a filter”. Doing this prompts this box:

Here you can give your filter a name. This isn’t saved back to Google Analytics, and will only ever be found in the Google Data Studio report that you’re working on, so if you want to work on something particularly complex that you want to reuse, it’s worth adding your conditions as a segment in GA.

Above, I’ve replicated the segment in GA to show you what it would look like if I only wanted to create that filter in Data Studio.

Another benefit of using Data Studio for reporting rather than Google Analytics is that you can layer your filters and blend data together to build in-depth reports that you can jump into without having to dig through data time and time again.

So, if I wanted to find out what percentage of organic landings my page contributed to, that answer’s pretty hard to find in GA without writing down numbers somewhere else, or scrolling through a full dataset.

Instead, in Data Studio, you can use the organic segment from GA and add on a custom filter to look at just the page you want to review. To get your magic number, blend the data to pull through:

  • Left hand side: All organic traffic: Dimension: Page, Metric: entrances (+ add a filter for organic)

  • Right hand side: Your new ‘page only’ segment: Dimension: Landing page (to act as the key match), Metric: entrances .

To make life easier, rename the fields by clicking on the “ABC” or “AUT” box next to the field name so that it’s something different…

Once you’ve blended your data, you’ll need to create a new field. To do this, click on the Metric title that’s used for your new blended data chart – this then expands to show you data from table 1, table 2 and a new option at the bottom with a plus mark and “Create Field”. Click this to see this pop up:

Here you can create your own formulas based off of your datasets. So this is where we do SUM(my chosen page entrances)/ SUM(all organic landings). It’s important to add the “SUM” when adding calculations to blended datasets to amalgamate the data.

Finish by naming your field and boom. You now know – for any date range you’ve chosen, what proportion of organic traffic that page accounts for.

If you want to get really fancy, you can even add a comparison date range to see how this percentage changes over time.

Creating segments in Google Sheets/Excel

If you want to go old-school, you can even filter pages in Google Sheets, or Excel.

Without manually going through each of your data points, you can create a new column and use a nested “if” statement mixed with a “regexmatch” statement.

This formula has been used on some dummy data to show how you can speed up the categorization of pages based on URL mapping:

=if(REGEXMATCH(A2,”travel-insurance/”),”commercial”,if(regexmatch(A2,”news|blog”),”blog”,if(regexmatch(A2,”/customer-services/”),”customer services”,”other”)))

You can then use pivot tables to compile your data into segments.

Here, I’ve created a new pivot table using the above data, using the “Group” as the rows, and “Traffic” as the values. I’ve then changed the traffic values to show as a percentage of the column instead of as a sum. This now shows me, in a quick snapshot, how much traffic is attributed to each page type. Using this method can help to segment your data and see how your pages perform based on their intent. Add metrics like conversion rates, phone calls and softer metrics to really understand what makes these pages tick.

What to do if your URLs aren’t clear when intent mapping

If the structure of your site doesn’t make it easy for you to map your intent easily, then you might need to create a master sheet of intent.

This can then be referred to via a VLookup in sheets, or to be used as a blended dataset in Google Data Studio against your other data.

If you want to get really fancy, you can tag your content data in Google Analytics by using a data import into a custom dimension. But you’ll still need to do the hard work in mapping your intent yourself.

Introduction to attribution modeling

Now you know how to review the impact of your content based on its intent, it’s time to make the story a bit more complicated.

Although measures of success with informational intent pages are seen as smaller wins, these pages can also help attribute to sales — eventually. Or, sessions to commercial pages that didn’t convert on a first hit might eventually lead to a sale a while later.

By only reviewing direct conversions in Google Analytics (which is the native metric that’s used), we run the risk of missing opportunities and not seeing the bigger picture of how people use our sites. This could lead to making decisions like culling content that’s actually helpful.

We know that people don’t live in a linear world. We don’t see a product we love and buy it immediately. (Okay, sure, I will put my hand up and admit that SOMETIMES, that’s how the world works.)

But most of the time, we hem and haw over decisions, shop around, look at various sites on our mobiles, searching via Google, social and asking our friends and family for input. We swap devices before we decide what to buy, or we might even walk into a real life shop and talk to someone about it.

To measure this kind of behavior is called multi-channel attribution modeling. It’s an understanding that people don’t simply visit and then buy in a linear way. Their decisions are multifaceted and that means our analytics should reflect that, and attribute leads or sales accordingly. There’s a great introduction to multi-channel attribution modeling by Avinash Kaushik if you fancy wandering down a rabbit hole of discovery there.

You’ll find loads of information on how to use attribution modeling in Google Analytics on a channel basis, but what you often won’t find is how you can do this on a landing page basis.

A search for “attribution modelling” “google analytics” gave me only 17,300 results on Google, suggesting it’s a pretty niche area in itself. Yet adding “landing page” in there, delivered only 2,790 results.

So, not a lot of people are talking about this super powerful report. The reason why they aren’t talking about it isn’t because it’s a secret. It’s because it’s really hard to find.

Assisted conversions by landing page

To get to your assisted conversions by landing page report in Google Analytics, you’ll need to go to Conversions > Multi-Channel Funnels > Assisted Conversions.

Here, you’ll see a report that shows all of your assisted conversions, based on all of your goals.

Before we get too distracted like a kid in Disney World, let’s set this report up properly with the intention of finding out assisted conversions by landing page.

1. Change the conversions this report sees as a goal from “all” to sales, leads, etc. — whatever you deem as a conversion and are actively tracking. If you don’t change this setting, you’ll also be viewing all of your micro conversions that you’ve set as goals like video views or time on site.

2. Change your lookback window to something meaningful for your business. You can set this at any number of days up to 90.

    3. The report you’ll see will automatically be set to channel groupings. The suggested options for the primary dimension are all focused on channel breakdowns like Source/Medium. To change this, go to “other” and select “landing page URL”.

      What does the assisted conversion report by landing page show me?

      Now you’ve got your data, it’s time to learn what you’re looking at.

      • Assisted conversions: shows you how many times that landing page helped someone to convert (but not in that session).

      • Assisted conversion value: if you’ve attributed a goal value, this column will show you its value.

      • Last Click or Direct Conversions: these are the conversions that you’d typically see in other GA reports that were part of the final converting session.

      • Last click or Direct Conversions value: again, if you’ve added a goal value, you’ll see this here.

      • Assisted/Last Click or Direct Conversions: this shows you a percentage of assisted conversions versus those that were part of the session that converted. The higher the number, the more important that page is as part of the journey to convert rather than a direct contributor.

      How can I use the assisted conversion by landing page report?

      You can use the assisted conversion report by landing page to:

      • Search for the impact of blog pages as part of a converting journey.

      • Use it to decide if landing pages can be removed without impacting conversion.

      • Understand the role that different pages have in converting visitors.

      In summary:

      We’ve learnt that:

      • Site-wide conversion rates don’t give us actionable insights by themselves.

      • The impact of a page should be measured based on its intent: informational, customer service, and commercial.

      • The intent of pages can be segmented using Google Analytics, Google Data Studio or Google Sheets, to give you a top level picture of how they’re performing as a whole towards a common aim.

      • Before you make any judgment on how a page is performing and whether it should be removed, consider its wider impact and use attribution modeling to better understand its performance.

      I really hope you’ve found this useful and you’re now armed to make your own intent-based reports using whatever toolset you feel comfortable with.



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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 and 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. 

Source: 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

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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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Top 6 SEO Tips for Bloggers that Will Skyrocket Google Rankings

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Top 6 SEO Tips for Bloggers that Will Skyrocket Google Rankings

The majority of blogs rely heavily on search engines to drive traffic. On the other hand, there is a misunderstanding that creating “SEO-optimized content” entails stuffing keywords into paragraphs and headers, which leads to barely readable blog articles.

But that’s not what SEO is all about. In this article, you’ll discover the top 6 SEO strategies and how crucial they are for improving your blog posts rank in Google search results.

How Important Are Google Rankings For Your Blog?

Search engine traffic is essential if you’re blogging in hopes of growing your business. After all, what’s the point in writing content if no one is going to see it? The higher your blog post ranks in Google search results, the more likely people will find and read it.

And the more people who read your blog post, the more likely someone will take the desired action, whether signing up for your email list, buying one of your products, or hiring you as a coach or consultant. So, it is essential to have SEO optimized blog.

How To Incorporate SEO Into Your Blogs?

It would help if you started putting these six pieces of constructive SEO advice for bloggers into practice immediately:

1. Write For Your Readers

The standard of blog writing started significantly declining when “SEO content” became a buzzword. Instead of writing for people, they began to write mainly for robots in search engines. Unfortunately, some bloggers still express themselves in this way nowadays.  

But luckily, things have greatly improved, especially since the Hummingbird update and the rise of voice searches. The Hummingbird update was developed to assist Google in comprehending the purpose of searches.  

For instance, Google would understand that you are seeking nearby restaurants if you Googled “places to buy burgers.” It influences SEO because search engines are now more geared toward providing answers to queries and supporting semantic search rather than merely focusing on keywords.

You typically utilize Google, Bing, YouTube, or even Siri to find answers to questions. Take that idea and use it to improve your blog. Your writing should address the concerns of your intended audience in detail.

Your blog shouldn’t exist solely to help you rank for a particular keyword. Instead of concentrating on keywords, shift your attention to creating content that addresses the issues of your target audience.

2. Link to High-Authority websites

Don’t be scared to use external links when you construct your blog content. In addition to giving blog visitors more resources to read and learn from, linking to reputable websites demonstrates to search engines that you have done your research.

Research-based statistics from reputable websites are the best way to support blog content. Using compelling statistics will help you create a stronger, more specific argument that will help you win your readers’ trust.

3. Design a link building Strategy

Your search ranking is significantly impacted by link building. Why? Consider search results a contest where the people who receive the most votes win.

Google considers every website that links back to you as a vote for your website, elevating your content’s credibility. You will move up in ranking as a result. Here are some starter ideas for your link-building:

  • Communicate to other bloggers in your niche and offer to guest post on their website. Include a link back to your blog in your guest post.
  • Participate in online and offline community events related to your niche. For example, if you blog about fitness, you could attend a trade show related to fitness or health.
  • Create helpful resources that other bloggers in your niche find valuable, such as an eBook, cheat sheet or template. Include a link back to your blog on these resources.
  • Leverage social media to get your content in front of as many people as possible.

4. Learn About Google Webmaster Tools

Do you remember getting a warning from your teacher when you did anything incorrectly in elementary school? Your opportunity to clean up your act and get back on track to avoid punishment was given to you with that warning. In a way, Google Webmaster Tools serves that purpose for your blog.

Google Webmaster Tools will warn you when something suspicious is happening with your blog by giving you diagnostics, tools, and data to keep your site in good condition.

What you can observe in the Webmaster Tools Search Console is:

  • The percentage of your pages that Google has indexed
  • If your website is having issues with Google’s bots indexing it
  • If your website was hacked
  • How search engine bots see your website
  • Links to your site
  • If Google penalized your website manually

The great thing about Webmaster Tools is that it informs you what’s wrong with your website and how to fix it. To resolve any difficulties Google discovers with your blog, you can utilize a vast knowledge base of articles and a forum.

5. Include Keywords in your Meta Description

Does your post include meta descriptions? If not, you’re probably not providing your content with the best chance of being seen. Google also analyzes meta-descriptions to determine search results. The one- to three-sentence summaries beneath a result’s title is known as meta descriptions.

Use meta descriptions to briefly summarize the subject of your post, and keep in mind to:

  1. Make it brief.
  2. Use between one and two keywords.
  3. Since there will likely be other postings that are identical to yours, you should make your description stand out from the competition.

6. Establish Linkable Assets

A linkable asset is a unique, instrumental piece of content that’s so valuable people can’t resist linking to it. It’s similar to dining at a fantastic restaurant and a merely adequate one. You’ll go out of your way to tell everyone about the excellent restaurant, but if someone asks if you’ve been there, you’ll probably only mention the merely adequate one.

The ProBlogger job board is an excellent example of a linkable asset. For independent bloggers looking for compensated writing opportunities, it’s a terrific resource. The page is constantly linked in blog posts on monetizing your blog or websites that pay you to write for them. Why? Because it is rare and costly.

You can build the following linkable assets for your blog:

  • Free software or apps
  • Ultimate guide posts
  • Huge lists
  • Infographics
  • Online guide
  • Influencer tally reports
  • Quizzes
  • A case studies
  • Industry studies or surveys

Final Thoughts

By following these six SEO tips for bloggers, you’ll be well on your journey to improving your blog’s Google ranking. Remember that SEO is an ongoing process, so don’t get discouraged if you don’t see results immediately. The key is to be patient and consistent in your efforts, and soon you’ll start reaping the rewards of your hard work!

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