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Use Google Autocomplete as an SEO Tool

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Use Google Autocomplete as an SEO Tool

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.

Google Autocomplete (often referred to as Google Suggest) is one of the first Google search developments that appeared on SEOs’ radar.

Many years ago, Google Suggest was what powered Google Instant results, making a huge impact on users’ searching journeys. SEOs have been using it as a free keyword research tool.

Yet there’s much more to this search feature, especially after all the updates Google has introduced, turning Google Autocomplete into a smart and predictive platform of its own.

What is Google Autocomplete?

Google Autocomplete allows users to easily complete their query by suggesting possible extensions of what they are currently typing:

Google’s suggestions are dynamic — they instantly change as you’re typing your query. Google is trying to predict what a user means to type. These predictions are likely to impact the searching behaviors as people may instinctively choose a suggestion they never meant to type. In other words, Google’s Autocomplete should be an SEO priority.

But there’s another factor making the feature very important for any digital marketing strategy: By default, it delivers suggestions in the address bars of at least three of the most popular browsers: Firefox, Google Chrome, and Safari.

Here’s Chrome’s address bar, which suggests search terms (and auto-completes them) as you type.

Now imagine that your domain is plumber.com and that’s your customer trying to type in your domain name.

This means that in many cases, users will be prompted to search even when they had no intention to, and they will search for the terms that were suggested by Google.

How do Google’s Autocomplete predictions work?

Google’s Autocomplete predictions rely on actual users’ popular searching patterns, i.e. what Google’s searchers tend to type next. In other words, Google’s suggestions reflect the most common search queries.

Additional factors that impact Google’s predictions are:

  • The searcher’s location

  • The user’s past searches

  • Currently trending search queries. For example, many of these suggestions seem to be driven by trending searches:

You can disable your past searching history from messing with your Google predictions by disabling personalization here. This way you’ll get a cleaner insight into your target users’ searching habits.

Use Google’s Autocomplete to research your keywords

Keyword research is exactly how SEOs have been using Google Suggest for ages — with much success.

Google Autocomplete is perfect for discovering more specific and relevant phrases that searchers are using to solve problems or answer questions, as it extends your search query as you type it. If your query is searched a lot, Google will continue extending it further and further — just keep hitting space at the end of each query:

All of these suggestions provide content ideas by narrowing your initial term down to more specific angles.

While you can do this by using the search box itself, you can also use tools like Suggestion Keyword Finder to make it easier and faster, , as it extends each of your chosen terms deeper to level three:

There are also a few plugins that bring those suggestions right inside your WordPress post editor.

Use Google Autocomplete to research questions

Question research is useful on many levels, from content ideation to identifying the challenges your customers may be experiencing with your product or service.

Google Autocomplete is one of the most powerful sources of niche questions that your target users routinely type to solve related problems. To find those questions, simply type question words (why, how, where, etc.) in front of your search term in Google’s search box:

To avoid manually doing this, you can use Answer the Public, which uses this trick to create a mindmap of questions based on your keyword:

There are several ways to implement these questions in your content optimization strategy:

  • Set up an on-site knowledge base to attract long-tail traffic and empower your customer support team.

  • Use these questions in your content refresh strategy when optimizing old or outdated pages.

  • Launch a Youtube series/playlist or even a video course to address each of these questions, one by one. You will have lots of content that you can reuse on your site, on social media, and elsewhere.

Narrato is a handy content creation and collaboration platform allowing you to import these questions and integrate them in your content brief and content itself:

Narrato helps you consolidate a lot of data around each content project helping you create better optimized guides, lead magnets or commercial landing pages.

Use Google Autocomplete to research related concept entities

Extending core keywords is how we’ve utilized Google Autocomplete for years, but the tool has been evolving, and these days it gives even more insight into how people search and what Google considers relevant to your target topic (and buying journey).

Traditionally, Google would generate search predictions prior to you performing a search. Nowadays, Google will help you refine your search query by suggesting alternative terms after you perform the search.

To generate these suggestions, simply put your cursor back in Google’s search box once it loads search results. These are referred to as “search refinements”:

The key benefit of this exercise is that you get to uncover related concepts and entities you may want to include into your optimization strategy.

For example, if you search for [why is google maps slow] and put your cursor anywhere inside your query in the search box, Google Autocomplete will try to help you specify the problem by suggesting [delay time] instead of [slow] and making sure you really mean [maps] and not [google earth slow].

There’s no insight into how Google generates search refinements, but they most probably rely on their users’ searching journeys (i.e the same person typing these queries within one session).

SE Ranking uses search refinements to identify related keywords you’d want to include into your SEO strategy:

Autocomplete search refinements in local marketing

Search refinements have many implications. For example, if you’re a local business, you should use Autocomplete to discover related towns and cities people in your area may be using to find similar businesses. These are all your target keywords:

In this case, a plumber located in Halfmoon, NY will know that they need to have pages targeting Clifton Park, Ballston Spa, and Glenville. They will also find a distinct local competitor to keep an eye on.

Interestingly, Google knows how far away from your location related entities should be. In case of plumbers, Google would suggest locations 10-30 minutes away. But if you search for something like “playgrounds” in the same town, you will only be suggested places within a five-minute drive:

Use Google Autocomplete for organic reputation management strategy

Brand-driven search is when a search query contains your brand or product name.

Your potential customers are using your brand-driven search when trying to figure out if your company is worth dealing with or if your product is what they need.

Obviously, branded search is an essential part of your sales funnel, and the one you cannot fully control.

With Google Autocomplete, branded search becomes even more tricky and less controllable:

  • Google may prompt your customers to search for your name when they are trying to actually type your domain and get to your site. In this case, Google’s Autocomplete may distract and drive your actual customers away from your site, so you need to make sure that your branded search results will bring them back to your site.

  • Google Autocomplete may give your customers “ideas” on what they need to do prior to buying from you (and finally get them to change their minds).

For those two reasons, your branded Autocomplete results should be your company’s priority:

  • Research and extend those using tools like Suggestion Keyword Finder, Answer The Public, and SE Ranking (all mentioned above).

  • Track your rankings for all of these search queries (naturally, you want your pages to rank #1 to instantly take those searchers back to your site).

  • Ensure your brand visibility in more than organic listings. Google’s SERPs are visual and interactive, which means lots of people may never click those organic results. Those searchers need to keep seeing your brand all over those SERPs to finally be convinced to go to your site:

Branded SERPs often include image and video carousels, People Also Ask boxes, tweets from the brand’s official account, and more. A well-organized reputation management strategy should target all of these search sections and elements.

For your company’s key branded keywords, set up Visual Ping, a change-monitoring platform that will alert you once your branded SERPs add or remove anything. You will also be notified of any changes in your knowledge panel, new results, new images or videos pulled into your branded carousels, changes in local 3-pack, etc.:

Use Google Autocomplete to identify and research entities

Google Autocomplete is evolving together with Google search. As Google is integrating entities (e.g. organizations, books, places, celebrities, movies, shows, etc.) into its algorithm, so does Autocomplete.

When Google considers something an entity, the Autocomplete dropdown will include its logo and the category Google is associating this entity with. Local entities will also include their location:

It’s a good idea to check Autocomplete results for your chosen name prior to registering the domain. Namify makes it easy as you can add domains to the list to check them all before deciding:

It’s a good idea to stay away from brand names that are already identified as entities in the same or neighboring category.

For newly launched projects and products, Google Autocomplete can be used to identify whether Google considers you an entity yet:

Conclusion

Autocomplete is a great (and free) keyword research tool, but it is also a powerful factor that can impact your target customers’ journeys on most popular browsers. For this reason, it’s important to keep an eye on Google Autocomplete suggestions for your important search queries, including your brand-driven queries.

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Ascend | DigitalMarketer

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Ascend | DigitalMarketer

At this stage, your goal is to generate repeat buys and real profits. While your entry-point offer was designed for conversions, your ascension offers should be geared for profits—because if you’re serving your customers well, they’ll want to buy again and again.

Ascension offers may be simple upsells made after that initial purchase… bigger, better solutions… or “done for you” add-ons.

So now we must ask ourselves, what is our core flagship offer and how do we continue to deliver value after the first sale is made? What is the thing that we are selling? 

How we continue to deliver value after the first sale is really important, because having upsells and cross sales gives you the ability to sell to customers you already have. It will give you higher Average Customer values, which is going to give you higher margins. Which means you can spend more to acquire new customers. 

Why does this matter? It matters because of this universal law of marketing and customer acquisition, he or she who is able and willing to spend the most to acquire a customer wins.

Very often the business with the best product messaging very often is the business that can throw the most into customer acquisition. Now there are two ways to do that.

The first way is to just raise a lot of money. The problem is if you have a lot of money, that doesn’t last forever. At some point you need economics. 

The second way, and the most timeless and predictable approach, is to simply have the highest value customers of anyone in your market. If your customers are worth more to you than they are to your competitors, you can spend more to acquire them at the same margin. 

If a customer is worth twice as much to you than it is to your competitor, you can spend twice as much trying to acquire them to make the same margin. You can invest in your customer acquisition, because your customers are investing in your business. You can invest in your customer experiences, and when we invest more into the customer we build brands that have greater value. Meaning, people are more likely to choose you over someone else, which can actually lower acquisition costs. 

Happy customers refer others to us, which is called zero dollar customer acquisition, and generally just ensures you’re making a bigger impact. You can invest more in the customer experience and customer acquisition process if you don’t have high margins. 

If you deliver a preview experience, you can utilize revenue maximizers like up sells, cross sales, and bundles. These are things that would follow up the initial sale or are combined with the initial sale to increase the Average Customer Value.

The best example of an immediate upsell is the classic McDonalds, “would you like fries with that?” You got just a burger, do you also want fries with that? 

What distinguishes an upsell from other types of follow up offers is the upsell promise, the same end result for a bigger and better end result. 

What’s your desired result when you go to McDonalds? It’s not to eat healthy food, and it’s not even to eat a small amount of food. When you go to McDonalds your job is to have a tasty, greasy, predictable inexpensive meal. No one is going there because it’s healthy, you’re going there because you want to eat good. 

It’s predictable. It’s not going to break the bank for a hamburger, neither will adding fries or a Coke. It’s the same experience, but it’s BIGGER and BETTER. 

Amazon does this all of the time with their “Customers Who Bought This Also Bought …” But this one is algorithmic. The point of a cross sell is that it is relevant to the consumer, but it doesn’t necessarily have to be aligned with the original purchase. What you don’t want to do is start someone down one path and confuse them.

You can make this process easy with Bundles and Kits. With a bundle or a kit you’re essentially saying to someone, “you can buy just one piece, or you can get this bundle that does all of these other things for a little bit more. And it’s a higher value.”

The idea behind bundles and kits is that we are adding to the primary offer, not offering them something different. We’re simply promising to get them this desired result in higher definition. 

The Elements of High-Converting Revenue Maximizers (like our bundles and kits) are:

  1. Speed

If you’re an e-Commerce business, selling a physical product, this can look like: offering free shipping for orders $X or more. We’re looking to get your customers the same desired result, but with less work for them.

  1. Automation

If you’re a furniture business, and you want to add a Revenue Maximizer, this can look like: Right now for an extra $X our highly trained employees will come and put this together for you. 

  1. Access 

People will pay for speed, they’ll pay for less work, but they will also pay for a look behind the curtain. Think about the people who pay for Backstage Passes. Your customers will pay for a VIP experience just so they can kind of see how everything works. 

Remember, the ascension stage doesn’t have to stop. Once you have a customer, you should do your best to make them a customer for life. You should continue serving them. Continue asking them, “what needs are we still not meeting” and seek to meet those needs. 

It is your job as a marketer to seek out to discover these needs, to bring these back to the product team, because that’s what’s going to enable you to fully maximize the average customer value. Which is going to enable you to have a whole lot more to spend to acquire those customers and make your job a whole lot easier. 

Now that you understand the importance of the ascend stage, let’s apply it to our examples.

Hazel & Hem could have free priority shipping over $150, a “Boutique Points” reward program with exclusive “double point” days to encourage spending, and an exclusive “Stylist Package” that includes a full outfit custom selected for the customer. 

Cyrus & Clark can retain current clients by offering an annual strategic plan, “Done for You” Marketing services that execute on the strategic plan, and the top tier would allow customers to be the exclusive company that Cyrus & Clark services in specific geographical territories.



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2023 Facebook Algorithm Guide: Overview & Best Practices

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2023 Facebook Algorithm Guide: Overview & Best Practices

Every month, 2.7 billion people use Facebook, Meta’s globe-dominating social network. For marketers, this is an un-ignorable audience. However, reaching that audience isn’t always easy – to get content in front of a relevant user, they need to make the Facebook algorithm work in their favor.

Unfortunately, the algorithm can feel very mysterious. Why do some posts go viral with engagement while others wither and disappear without so much as a few courtesy likes?

The good news is that while the technical rules governing Facebook’s algorithm may be in a black box, there are plenty of guidelines and common-sense tips that can help ensure your content gets prioritized and seen. Facebook has published many explainers and tutorials over the past few years to break down how its algorithm ranks and distributes content to users’ Feeds.

Here’s how Facebook’s algorithm works in 2023 with ten expert tips on increasing the impact, performance and lifecycle of your Facebook content.
 

Table of Contents

 

  • What is the Facebook Algorithm?
  • A Recent History of the Facebook Algorithm 
  • How the Facebook Algorithm Works in 2023
  • 10 Best Practices for Working with Facebook’s Algorithm
  • Final Takeaway

 

What is the Facebook Algorithm?

 
The Facebook algorithm is the set of rules and formulas that determine what content users see in their Feeds. Its goal is to make the posts that “matter most to the user” highly visible to that user. To do this, it analyzes each piece of content eligible to be displayed and ranks them according to a set of criteria.

As Facebook explains, the algorithm is actually “not just one single algorithm; it’s multiple layers of [machine learning] models and rankings that we apply to predict the most relevant and meaningful content for each user.”

If that sounds complex, that’s because of the sheer volume of content on the Facebook platform. There are over 2 billion Facebook users and trillions of posts they can see; the algorithm needs to be sophisticated to sort through all that content in an instant between launching the Facebook application and the population of each user’s Feed. 

 

A Recent History of the Facebook Algorithm

 

Since 2017, Facebook has been increasingly transparent about significant changes in how it ranks and distributes content. That also means the algorithm is constantly evolving. In general, those updates have favored user input, posts friends and family over publishers, and content personalized to a user’s interests… all geared toward generating more “meaningful interactions.”  These updates include:

 

  • Meaningful Interactions Update (2018) – This update signaled that the algorithm would predict which posts a user might want to interact with their friends about and show these posts higher in Feed. These posts inspire discussion in the comments and posts that users might want to share and react to. 
  • Updates to Video Rankings (2019) – This update boosted the rankings of video posts that users sought out and returned to, watched for more than one minute at a time, and were original creations and not repurposed content. 
  • Addressing Sensational Health Claims (2019) – This update applied some of the existing “clickbait” rules specifically to posts making medical or health claims in an effort to reduce misinformation. Exaggerated or sensational claims were deprioritized, as were posts promoting products that advertised “miracle” cures.

 

The past three years have seen additional updates, and since they’re more recent, they deserve closer examination.

 

2020: Key takeaway from 2020

 

In 2020, Facebook modified its algorithm again to give more weight to original, credible news sources and create more personalized advertising encounters for users based on their interactions. Additional updates this year included changes designed to comply with Apple’s iOS 14’s privacy guidelines. 

 

  • Prioritizing Original Sources: In response to users continually reporting a preference for “news stories that are credible and informative,” Facebook announced that it would make ongoing updates that “prioritize articles in News Feed that we identify as original reporting on a developing story or topic.”
  • Personalized Ads: The Facebook algorithm serves advertisements to a user’s Feed based on the posts and pages they have engaged with previously. Businesses are also given the option to share information about the actions that users take on their websites and apps so they can show the most relevant content in users’ Facebook Feeds. To balance this process of information gathering and sharing, which also lays the foundation for personalized advertising on the platform, Facebook instituted the “Why am I seeing this ad” feature and the “Ad Preferences” dashboard for users (and to address privacy concerns).
  • Retargeting Limitations: Even with expanded personalization, Facebook had to respond to the significant privacy and permissioning guidelines i=within the Apple iOS 14 update released in 2020 (Tinuiti’s Liz Emery takes a more detailed look at this topic here). When Apple users install or update to iOS 14, they will be prompted to opt-in or opt out of data sharing. While Facebook has other variables that can be used to identify devices, such as the associated email address and phone number, targeting that depends on users sharing their data at the device level is restricted based on this update.

 

2021: Machine Learning and User Control

 

In 2021, Facebook released new details about how the algorithm governing users’ Feeds works and increased the amount of control users have over what they see. 

 

  • Favorites: A new tool where users can control and prioritize posts in their Feeds from the friends and Pages they choose. By selecting up to 30 friends and Pages to include in Favorites, their posts will appear higher in ranked and can also be viewed as a separate filter.
  • Revealing the algorithm’s machine learning mechanics: In 2021, Facebook published an in-depth post explaining how the Feed predicts what users want to see. For the first time, it detailed the machine learning processes behind predicting what users see in their Feeds based on various factors, including what and whom they’ve followed, liked, or engaged with recently. These mechanics are largely still in place today.

 

Source: Facebook

 

2022: From ML to AI

 

Last year, the Facebook algorithm evolved further in the direction of user control and augmented its use of machine learning tools with more sophisticated artificial intelligence systems. These two updates went hand-in-hand. Users were given a new function on each post they saw, the “Show More/Show Less” feature. Selecting “Show More” would increase the ranking score for that post, increasing the likelihood of a similar post or a similar user appearing in the user’s Feed. The inverse would happen when “Show Less” is selected.

These per-post user inputs are simultaneously helping the AI system generalize how relevant future content will be for that user. Or as Facebook puts it, “by offering more ways to incorporate direct feedback into Feed ranking, we’re making our artificial intelligence systems smarter and more responsive.”

Facebook’s AI model generates what the company calls user and content embeddings, which help predict the types of content a person wants to see more of or less of in their Feed. Another Facebook blog post from 2022 explains that a “user embedding captures a person’s tastes, while the content embedding captures the essence of what a post is about.” 

One last update from 2022 – what was once called the Facebook News Feed is now just the “Feed.” That’s how we refer to it throughout this article, except where relevant due to historical discussion.

 

How the Facebook Algorithm Works in 2023

 
That’s the state of the Facebook algorithm in 2023 – it has evolved to become an AI-powered, user-centric model designed to present users with relevant, welcome content in their Feeds. Even though Meta will admit that the algorithm isn’t perfect (and may never be), Facebook has demonstrated a willingness to modify its processes to give users what they want.

Despite the Facebook algorithm’s complexity and integration of new technologies like AI and machine learning, understanding its core functionality boils down to four ranking factors.

The Four Ranking Factors Fueling the Facebook Feed Algorithm

 
Prioritizing what “matters” to users has been one of the most consistent purposes of the Feed and all of its previous iterations. The goal of Facebook’s algorithm is to “show stories that matter to users,” according to Adam Mosseri, VP of Facebook’s News Feed Management. That aim is reflected across the platform’s many updates and tweaks to its algorithm, from more user control to increased personalization on advertisements. 

With that in mind, you should know how Facebook’s different algorithm factors work together to determine which stories “matter” to a user. And Facebook made these factors easy to understand in its published help center post.  
 

1. Inventory

 
Inventory represents the stock of all content that can display to a user on Facebook’s News Feed, which fluctuates based on user activity once scrolling has begun. This includes everything posted by friends and publishers.
 

2. Signals

 
Signals represent the information that Facebook can gather about a piece of content. Signals are the single factor that you have control over.

These are your inputs that Facebook interprets; type of content, the publisher, its age, purpose, and more.

You want your content to signal to Facebook that it’s meaningful and relevant to your target audience.
 

3. Predictions

 
Predictions represent a user’s behavior and how likely they are to engage with a content piece. Will a user watch a video to completion? Will they select the “Show More” feature on the post?

Predictions take authentic engagement like comments, likes, and shares from real profiles into account.
 

4. Relevancy Score

 
Relevancy Score is the final number assigned to a piece of content based on the likelihood that the user will respond positively to it. It also accounts for whether a post is “clickbait,” whether it links to a low-quality webpage, or if it’s misinformative in some way.
 

10 Best Practices for Working with Facebook’s Algorithm

 
So how can you tailor your content to ensure a high Relevancy Score and a strong enough ranking to appear in your target audience’s Feeds? Most of the following tips will be common sense if you currently produce content for social audiences, but many are specific to the sophisticated Facebook algorithm. 

Here are some guidelines and best practices for keeping your content meaningful in Facebook’s eyes, based on our research, Facebook’s recommendations, and Matt Navara and Paul Armstrong’s coverage of Facebook’s News Feed webinar
 

1. Keep posts relevant to your audience

 
Your content should always be relevant to your core audience — the people you want to build a community around. If your content is relevant to a user, the Facebook algorithm is likely to interpret that content as “meaningful,” a key consideration in ranking. 

Stories should be compelling enough for a user to want to share with family and friends. Content should be informative and interesting… and, of course, accurate. 

Products, education and lifestyle imagery, should reinforce your post’s meaningful and informative nature and build on your identity as a brand answering to a specific audience.

 

2. Engage readers and encourage interaction

 
Facebook’s News Feed algorithm favors content that fosters positive interactions between your followers and others.

Any piece of content, from products to education to entertainment — should provoke conversation. Remember that conversations can’t be one-sided; you want your audience to respond, but you must also respond to them when possible. 

You want your content to prompt people to stop their scroll, interact, and share. Interaction is a crucial weighting factor for the Facebook algorithm, so all your content should be tailored to maximize engagement.
 

3. But don’t use clickbait or engagement bait

 
 
Remember all those “like if…” and “share if you are…” posts?

This is considered engagement baiting; it doesn’t add value or interaction for users. It may not entirely be clickbait, but the Facebook algorithm will penalize it as though it were. 

Avoid asking people to “please comment, like, and share.” Your content should inspire them to engage without having to ask.

Facebook penalizes brands that encourage comments, likes, and shares on organic and ad posts. Keep this in mind when developing content for Instagram and Facebook.

 

4. Expand your post reach with employees and brand advocates

 

Because the Facebook algorithm gives preference to posts from users’ friends, families and the pages they interact with, your company’s Facebook page will have naturally limited reach. This is where enlisting employees and brand advocates can have a real impact. 

Facebook represents your widest audience, but to reach them, you need to engage the audience closest to home. Encouraging your work team to share your brand’s content with their networks broadens the reach of the post or piece of content and your brand. Directly engaging with Facebook users who are already devotees of your brand and asking them to share content with their friends and family can have a similar effect.,
 

5. Or put ad dollars behind content with organic momentum

 
 
The new Facebook algorithm values content that performs well organically, and you can build off that momentum by boosting or promoting that content with ad dollars.

Content that already has strong organic traction means lower CPCs which, combined with ad dollars, can act as a snowball effect for your content.

Identify opportunities for ads based on organic post engagement and tap into Facebook Ads Manager tools by leveraging these posts in ads.

Conversely, don’t waste ad dollars on poor-performing organic content. It will have higher CPCs and cost you more while offering less in return.

“If a post performs well with engagement, likes, and shares, there’s an opportunity to place additional ad dollars to drive that performance even further.”

— Nii Ahene, Chief Strategy Officer at Tinuiti
 
Portrait of Nii Ahene
 

6. Create compelling, original video content

 
 
2019 was the year that Facebook began leaning into its video offering in earnest, and it hasn’t stopped since. Today, the video formats available on Facebook have expanded to include Reels and Stories (shorter clips), Video on Demand and Live video. Reels, in particular, is Facebook’s fastest-growing content format “by far.” s video continues to be the top-performing content type across all social media networks, focusing on video should be a central part of your Facebook marketing strategy.

For your video content to perform best in the Feed, Facebook recommends that it be original, capture the audience’s attention, spark engagement, and inspire users to seek additional video content from the same source. 

To create original and authentic Reels, Stories and full-length videos, make sure they capture your brand’s voice and avoid duplicating content. To retain attention, ensure your creative and copy is optimized towards mobile viewing (i.e., shortened copy, readable overlays, shortened headlines). And to generate engagement, encourage discussion and genuine interactions (but like always, avoid engagement bait).

 

7. Inspire audiences and evoke emotion with storytelling

 

Just as videos should be original, engaging and attention-grabbing, so should any content you post on Facebook. Understand the kinds of stories that resonate with your audience and craft your posts to tell those stories in an exciting way.

You can create connections with your audience through authenticity, interactivity and accuracy. But the surest way is by listening. Ask for feedback. Learn their interests. Take cues from their activity on other platforms. When you know what your audience cares about, you have a better chance of inspiring them… and a better chance of rising to the top of their Feeds.

 

8. Post authentic and truthful content

 

Facebook says that “authentic stories are the ones that resonate most” and that users want to see accurate information. After the controversies surrounding “fake news” and the spread of dis- and misinformation on the platform in recent years, the company has made promoting truthful content central to the Facebook algorithm’s function. 

To signal that your content is genuine and accurate, write clear headlines free from exaggeration or sensationalism. Use well-sourced, reliable information, and avoid sharing content from sources you need clarification on. And above all, don’t lie or try to mislead with your content.

 

9. Schedule content when readers are likely to engage

 

The Facebook Feed is no longer chronological, but timing can still impact post performance within the algorithm. You want to post content when your audience is likely to engage with it, which is likely in the evening or overnight, but it can vary widely by the user. There is some research exploring the objectively ideal time for posting, but the ultimate best practice is understanding your audience and when they are most likely to be on the platform. 

 

10. Learn what works by tracking content performance

 

After you’ve published your content, remember to use Facebook Insights to track the performance of your content. This will help you understand how your different content pieces are performing in terms of engagement, which is the key ranking metric. 

Facebook also offers a variety of tools designed to help you measure both organic content and paid ads. Choose the best tools for your brand, and track performance regularly. Learn from your own Insights data and the tools you use, and optimize your content from there.

Final Takeaway

 
The Facebook algorithm is sophisticated and constantly evolving. There are few shortcuts and no way to “hack” it. But the steps outlined in this article can help make the algorithm work for you and help you get your content in front of the Facebook users who need to see it.

Want to work with our team of Facebook experts? Reach out today!

Editor’s Note: This post was originally published by Greg Swan in April 2020 and has been updated for freshness, accuracy, and comprehensiveness.

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Five questions for our new CMO, Shafqat Islam

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Five questions for our new CMO, Shafqat Islam



Alex Atzberger: Now that you’ve stepped into the CMO role, what are you looking forward to?   

Shafqat Islam: It’s amazing to take on this role at both a category creator and leader. How many brands can be a leader in almost every category–think Experimentation and CMS–that we play in?  

And we have so much to look forward to and build on. We have an exceptional team of marketing leaders and practitioners. They are fiercely intelligent, optimistic, and care deeply about what our products can *do* for our customers. Not just for the people who will encounter the marketing, retail, and product experiences that we support, but for the people who build them. As somebody who has both built products and been deeply immersed in marketing, I love the perspective that our team has.  

Alex Atzberger: What makes Optimizely unique?   

Shafqat Islam: First off, we’re category creators in experimentation and content management, both CMS and CMP. Marketers know this, and analysts know it, as something like 7 major analyst reports will tell you.  

Martech is a crowded field, so it’s true that there are a lot of firms whose territory overlaps with some of ours. But show me another company that can handle the entire content lifecycle like we can. Or show me another company that can do both feature flagging and experimentation.  

We also have a legendary legacy in the martech world. Before I joined, I knew that A/B testing and Optimizely were synonymous, and that the company’s roots go all the way back to the origins of the practice. And that’s something that is like common folklore in marketing and technology.  

And more than anything, the 1500 people who work here are world-class. 

Alex Atzberger: Being a CMO talking to other CMOs and marketing leaders is an advantage. You know the customer. But you’ve also built tech products. How does that affect your work now?  

Shafqat Islam: I’ve spent the majority of my adult life building products for marketers. So I’ve been lucky to spend so much time talking to CMOs and marketers in almost every type of company all over the world. As the founder/CEO of Welcome, my approach was to solve marketer challenges by building products. But now as CMO, I get to use the products we build.  

We’re practitioners of all of our own solutions, so in addition to the natural empathy I have for marketers, I am also close to the job’s unique challenges every day. There’s nothing like that to keep you sharp and keep you close to the customer.  

As a product builder, I knew we must always speak to business outcomes. But as CMO, I love that we aren’t just talking about the solutions – we’re living them, too.  

Because I was an entrepreneur for so long, I also bring another unique view – my willingness to take smart risks. I love to try things, even if (especially if?) the results are sometimes surprising. When it comes to experimentation, there are no failures, only learnings. 

Alex Atzberger: What are the biggest challenges you’re hearing from our customers, current and future?  

Shafqat Islam: Growth, especially given how tough it is out there for so many industries. The stakes are very high when it comes to creating experiences that will win and retain customers. That’s what all of our customers–especially the retail heavyweights-are thinking about.  

And marketing and technology leaders need to do this with leaner budgets. Efficiency matters a lot right now, and that means not only reducing the costs you can see, like the price tag attached to software, but also the costs you can’t see right away, like how much time and money it takes to manage a set of solutions. With that said, in tough times, I think the strongest brands can not just survive but also thrive. I also think when others are fearful, that may be the time to invest aggressively. 

And in the background of all this, there is still the ever-expanding list of customer touchpoints. This is simultaneously an exciting challenge for marketers and an exciting opportunity. More data means more effective storytelling– if you can use it right.

I also hear marketers when they say there’s a need for a shared space for collaboration among us. The role of the marketer is expansive, and it’s only getting more complicated. Building a community where we can come together and appreciate our shared goals is difficult, but I’m optimistic that we’re moving in the right direction.  

Alex Atzberger: What is next in our space? What will marketing and technology leaders be talking about six months from now?  

Shafqat Islam: Looking around now, it’s clear that 2023 will be the year that AI-generated content goes mainstream. We’re just starting to see the uses and the consequences of this. There’s already buzz about ChatGPT and its capabilities, and platforms are already making space to integrate AI functionality into their offerings. It could be an exciting way for users to become better equipped to create and share high-quality content.  

Customers also have gotten very used to personalization. Every screen they see daily is personalized, whether it’s their Netflix account or social feeds. So, when I see a site that isn’t personalized, I kind of scratch my head and wonder, why? With personalization now the norm, expectations for digital creators are sky-high.

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