All about engagement groups on social media
The last decade has been marked by the explosion of social networks. Channels that have generated new opportunities for companies to get their messages across, at little or no cost.
Then social networks tightened the screw. They reduced the reach of the publications of pages and companies to encourage them to pay to get their message across.
The eldorado has gradually dried up …
However, a brand worthy of the name can not afford to exist on social networks. Facebook, Instagram, Twitter, LinkedIn depending on the type of activity and targets.
And now Snapchat, TikTok. Soon Clubhouse?
So, individual, brand, influencer, company: how to exist on the networks? More precisely: how to continue to have a reach on social networks without having to spend astronomical amounts of money on sponsored content and reach a maximum of people?
Are engagement groups or “engagement pods” a miracle solution?
We tell you everything!
In this part we learn
- That likes and comments are the main drivers of virality of a post.
- That a network tends to highlight content within the circle of people who like and comment or to similar profiles.
- That social network algorithms are both stupid and incredibly complex. But that with a few good practices, you can stroke them in the direction of the hair
Before talking about engagement pods, it is necessary to understand what is the reach on a social network and how the algorithm works.
Because yes, these are not small humans who read your content and decide if it should be seen by the largest number. They are algorithms.
What is an algorithm?
An algorithm is a general method to solve a type of problem. It works like a recipe. It is a piece of computer code that will take in input data (ingredients), perform a processing (mix the ingredients, peel the vegetables, cook) to return new data (a dish).
Sum(a,b) which receives a and b, calculates a + b and returns the result is a very basic algorithm.
But why are we talking about an algorithm ?
Firstly, because in order to find this article by searching on Google, we had to treat the subject of engagement groups as widely as possible. To make it accessible to everyone. So it was necessary to go back to the basics.
The algorithm is part of it, because it is the very foundation of how engagement pods work.
How do social networks make money?
Another basic but fundamental question again. How social networks make money. This is what will explain how their algorithm works.
Most of the social networks (Facebook, Instragam, Twitter, LinkedIn, Tiktok…) make money on advertising. In general, they intersperse 4-5 “organic” or “natural” publications (we will come back to these terms), with a “sponsored” or “paid” publication.
The advertisers, those who pay to display a paid publication, pay either per click on the advertisement, or per display.
This means two things:
- The social network needs to make sure you stay as long as possible, to view more ads and generate more revenue.
- The social network has to make sure that the sponsored posts are relevant to you. We won’t talk about this second part which doesn’t concern us today.
Where most of the value of a social network is found is the “feed” or “fil d’actualité” in French. You know, where you scroll endlessly through publications (and view a lot of ads).
How does Facebook or LinkedIn define which publication to show you?
The purpose of a social network, as a private company, is to make money. Nothing new here.
It must therefore maximize the time you spend on the social network.
But every day millions of people share content, posts, videos….
And billions scroll through their news feed to view this content.
How do you ensure that the next post you see is relevant to YOU? How do you ensure that you won’t be disappointed and stop scrolling and finally go to bed (or move to another network) ?
The way the news feed works is like a marketplace. Like on Ebay, some people sell products, others are looking to buy them.
Here people share posts and others view them.
But the problem is that an algorithm, no matter how smart, is still far from being able to watch a video, read a post and say to itself:
“Mmmh… this content should please Mr. John but not Mrs. Smith”.
Of course, the artificial intelligence behind these algorithms can now tell if there are insults in a post, incitements to hate, identify some negative or positive patterns.
But being able to tell if the content is relevant, well written, well filmed, they don’t know.
So they will have to rely on more “basic” criteria. Things they can actually measure.
Mainly, they will look at 2 main criteria:
- The engagement rate.
- Relevance to your peers.
What’s not clear ?
Don’t worry, I’ll explain it all to you!
What is engagement?
Engagement is the different interactions a user has on a post. There are generally 4 different waysto“engage on a post“:
Everyone knows the “like“. It’s a simple and not very engaging action, which consists in expressing an opinion on the content, with only one click.
Today, it is a little more complex and allows more nuances. On Facebook, for example, you can leave a “like”, “love”, “ahah”, “wow”, “sad”, “angry”.
Or on LinkedIn: “I like”, “Bravo”, “Support”, “I love”, “Instructive”, “Interesting”.
And as you can imagine, the algorithm interprets them differently.
This is a more engaging action. This time you’ll share a written opinion, an opinion, a reaction that takes more time.
This text will be displayed under the publication and other members can respond to it.
So it has much more impact on the algorithm. (I know it’s not super clear to you yet, but we’ll get there).
This time, this action consists in republishing on your profile or your page, a content created by other people. On Twitter it’s a retweet.
It is a voluntary action to put forward to the people who follow us this content, often with a comment from us.
This action is interpreted a little differently depending on the platform, but it is generally very engaging.
Should you share or comment? The answer on this article.
Stop on the content, and the time spent on it
Yes, networks also look at when you stop on a post. Obviously less engaging, this action (named “dwell time” by LinkedIn) is still very interesting for the algorithm.
In general, it will look if you stop or not on a content and, if yes, how much time you will spend.
Why spy on us at this point ?
There is a rule on social networks that says :
- 1% of users post.
- 10% engage (like, comment or share).
- 90% passively consume the content.
This “dwell time” action is therefore important to take the “opinion” of the 90% who do not interact directly on the publications.
The engagement rate and virality
So why describe all the different types of actions on a social network?
We’re getting there…
As we said before: the algorithm is a bit stupid and can’t tell if a post is interesting or not.
But showing you interesting posts is the basis of the economic activity of a social network.
The algorithm will therefore take as a first criterion, the rate of engagement.
That is to say, the number of people who have performed an action of engagement on the post compared to the number of views.
More precisely, each action having a different weight, it is a “weight of engagement on number of views”.
For example on LinkedIn we could say:
- Like => weight = 1.
- Comment => weight = 5.
- Share => weight = 2.
- Dwell time => weight = 0,1.
The engagement rate is therefore a mathematical formula of the type :
(Likes x 1 + Comments x 5 + Repartages x 2 + Dwell time x 0.1) / number of views.
This value is fundamental for the virality of the post. The higher the engagement weight, the more the algorithm considers that the publication is interesting and the more it will show it to a large number of people.
As long as this rate is maintained, it continues to show the publication to more and more people.
This is called virality, a well-known phenomenon in social networks.
This phenomenon works as a spiral. Let’s take an example that is a bit schematic but that allows us to understand:
I make my post. The algorithm will show my post to the 100 closest people in my network (we will come back to this part later).
25 people stop, 10 people like, 2 comment, 1 share. My engagement rate is (2.5 + 10 + 10 + 2) / 100 = 24.5%.
That’s a good rate, so the algorithm decides to show my post to 1,000 people a little less close to my network.
220 people stop, 90 people like, 15 comment, 10 re-share. My engagement rate is then (22 + 90 + 75 + 20) / 1 000 = 20,7%.
This is a rate quite close to the first one and therefore a good rate. He will then show my content to 10 000 people.
And so on.
As long as the engagement rate stays high, the content continues to be shown to more people.
Of course, that’s a very rough summary. In reality it doesn’t go from 100 to 1,000 and then 1,000 to 10,000 but it’s a process of constant re-evaluation.
The type of likes, the size of the comments, the time spent, the influence of the people who engage also matters: not all engagement actions have exactly the same weight.
The algorithm is a bit “silly”, but it remains very complex and varies from one social network to another. It is also based on “machine learning”, which means that the more publications it processes, the more it learns, and the better it becomes in its ability to determine the virality of a post as soon as it is published.
It’s hard to explain all this in an article about engagement groups. Moreover, it is very difficult to make generalizations and to understand the exact functioning of these algorithms, which are constantly evolving.
But we have the main principles, and that’s what we’re interested in.
Relevance to your peers
I promise, this is the last part about how the algorithm works. But this point is also very interesting to understand the usefulness of pods and how to use them well.
As we said, a social network must show you content that is relevant to YOU.
A LinkedIn post about building construction, even a viral one, is probably not relevant to a salesperson in the software publishing industry.
A post from a fitness influencer on Facebook, even if viral, is probably not relevant to 64-year-old Gerard, who is interested in hydroponic tomatoes and cycling. (Although, if the algorithm shows him this content, maybe there’s a reason…?).
In short, the profile of the person to whom the content will be shown is essential.
But, once again, the algorithm can hardly read a post or watch a video and say to itself “This is for my good old Gérard du 59”.
It will need more material.
It’s a good thing, because all our actions on the networks leave some material. And Facebook, Instagram or Twitter have every intention of using it.
But how do you know if a content is interesting for YOU?
It’s simple… let’s see if it’s interesting for people like you ?
As I said earlier, the profile of the people who engage on a post, influences the audience to whom this post will be shown next.
What is not clear? Let’s take a concrete example..
Your cousin Marie shares on LinkedIn her bad experience as a candidate during her last job interview.
The content will first be shown to her close network. The criteria vary according to the network but we can mention among others :
- Who she has chatted with in private messages recently.
- Which posts she herself has recently engaged on.
- Those who have recently engaged on her posts (yes, if they were interested last time, why not today?).
We quickly arrive at our first sample. This is often the one that will influence the rest.
You comment on Mary’s post to share your casualness. You signal to the algorithm that this content has interested you.
This is great news!
After all, you too have interacted with other people recently, you too have received engagement on your content recently and you too have engaged on other posts recently.
Moreover, each action on the network contributes to refine your profile: the frequency of connection, the type of device, the location, the pages and people you follow… The list is so long.
And the network likes it. Because there are probably other people who do very similar things. They connect with a similar frequency, from the same type of device, they follow similar pages…
In short, for the network, they look a lot like you.
And if you were interested in Marie’s content, it is quite possible that they are also interested. So they are the next target!
Once again, I am making generalizations. For example, on Facebook, belonging to the same group of people (i.e. who interact with each other), will be more important than on LinkedIn.
On LinkedIn, the industry will probably have a major influence.
I say probably, because we don’t know exactly what criteria are used, and as we said, the algorithms are complex and evolve, through their autonomous learning, constantly.
Generally speaking, we can say that a social network algorithm will show content to people who are similar or from the same network or ecosystem as the people who engage with the content.
And that’s important, especially for LinkedIn pods.
What is an engagement group, or pod?
In this part we learn:
That engagement pods allow us to get more views on our publications.
An engagement group, or pod, is a group of people who come together in a manual or automated way, to artificially generate engagement (likes, comments, shares, views) on other publications, thus indicating to the algorithms that these contents are interesting and therefore increasing the final reach of the latter.
Yes, that’s a big definition, but don’t worry, we’ll detail everything.
For that, nothing better than a concrete example.
Philippe is a management consultant. Every week, he posts on LinkedIn his learnings and best practices in management.
With the aim of sharing his knowledge but also to make himself known to people who might be interested in his services.
He can’t afford to pay to get known and the competition is tough on the network, so his posts don’t get many views.
So he decides to get together with other management consultants, in the form of a Whatsapp group for example. Each time someone makes a post, the others will like and comment on it.
The algorithm then sees a high engagement rate and thinks that the content is very interesting. It will display it to a larger number of people.
As the other members of the group who have engaged are also in this sector (peer relevance), we can estimate that the post will be highlighted to a qualified audience, i.e. interested in management topics (as the members of our network on LinkedIn are often in a similar ecosystem).
We can therefore hope to obtain organic or natural engagement (i.e. not from engagement groups or advertising).
The different types of engagement groups
In this part, we learn:
- That there are manual and automated pods, which accept likes and/or comments.
- The advantages and disadvantages of each type of pod and everything you need to know about them.
Depending on the network, and the needs, there are different types of engagement pods.
- Manual pods VS automated pods.
- Likes only” or “comments only” pods.
Manual or automated pod?
In the example above, we took the example of Philip who groups with other people in the same sector to create an engagement on other publications.
This is a so-called “manual” engagement group: everyone will manually like or comment on other members’ publications.
Still largely in the majority, this type of pod has advantages and disadvantages (logical you might say).
The advantages of manual pods
- They are based on a tightly knit and invested community, often small. This community is often close to your activity so you bring a qualified audience by peer review.
- Artificial engagement is written by real humans. The algorithm can’t see the difference and neither can your audience.
- There is no need to create comments
for your own post, an often tedious and time consuming task.
- They are free.
The disadvantages of manual pods
- They are very time consuming. (Probably the biggest drawback). Indeed, to have a significant impact on a LinkedIn publication for example, you need at least 10 comments and 50 likes. So about 50 people need to engage with your content. But as manual pods work in community, there must be a permanent balance: one like given = one like received. In other words, to receive 50 likes, you’ll need to give 50 likes. If you post twice a week, you’ll need to give 100 likes per week. That is to say, you will have to visit the group several times a day and open a post 100 times a week to perform the manual action of liking the post
- They are often less efficient. In fact it is a consequence of the first point. It is difficult to give 100 likes per week so you often get 10 to 20 engagements, which is not significant. Moreover, the engagement in the minutes and hours following a publication are the most important (yes, as a reminder, this is when the algorithm decides to show your posts to the largest number). But with manual pods, likes and comments often arrive very late. Their impact is therefore even more limited.
- They are hard to find. They are often small communities, gathered on Whatsapp or Telegram. They are rarely accessible by searching “engagement group
” on Google? And those that are, are often large communities, where the balance has been broken for a long time and where members come from such different backgrounds (languages, countries, type of profiles…) that the quality of the resulting audiences is very poor.
- They are often inactive. One more consequence of the first point. Once the balance is broken, members lose interest and the volumes of engagement obtained become negligible. You then have to share your link
in different manual pods, and manually engage in all your pods. You can’t get away with anything!
For every repetitive and time-consuming manual task, there is a solution. Automation.
We’ve done it for car manufacturing.
For sending emails.
Today, we’re doing it for pods, too.
Really, progress is unstoppable!
How do automated pods work?
First, you need to install a tool (like Podawaa for LinkedIn for example). It is usually a Chrome extension (I’ll explain why later).
On this application, you will be able to join groups of people, according to different criteria, which depend on the tools used. The idea is to join groups on your themes/industry, which are in the same country and speak the same language.
Once you have joined these groups, you have done most of the work.
Now, when you publish your post, you will insert the link in the tool.
The features vary from one tool to another. On Podawaa for example, you can choose the number of likes you will receive (based on the number of people in your groups), the type of like, the average time between each like (to which we add a random aspect to be closer to a human behavior) as well as the comments you want to receive.
Once validated, your “engagement” will begin.
Yes, it’s automated, so it’s done by itself..
How does it work?
Thanks to the Chrome extension. It will intervene in the background directly on the social network in place of the group members and will link or comment automatically.
No need to open 100 links per week!
The advantages of automated pods
- It is a considerable time saver. Everything is done in an automated way, the most time consuming part being writing the comments you want to receive and which will be posted by other members of the engagement group automatically.
- There are more people. Like really more people. Whereas in a manual pod, it’s hard to exceed a hundred likes, with automated pods you can easily generate several thousand.
- The consequence of all this: the balance is never broken because it’s automatic.
- Some tools like Podawaa integrate the publication programming. What’s the point when dozens of tools already offer it, you might ask? Well your engagement (your request for likes and comments) is also scheduled. Your engagement rate is thus high from the moment of publication, which significantly increases the final reach of your content
The disadvantages of automated pods
I see only one: you don’t have direct control over the content on which you will automatically intervene… Because you get likes and comments from other members of the group, who are other users like you. So you will also automatically engage on content.
Since an engagement is likely to make a publication stand out in the news feed of your acquaintances (in the form of “Philip commented on Gerard’s post…”, this can be disturbing).
But don’t worry, there are several solutions for that. We’ll come back to that later in this article. ?
Likes-only pods, comments-only pods or both?
There are several types of pods, depending on what they accept and value.
There are 3 main categories (even if we can include in addition the notion of sharing which is more marginal):
- The “likes only”.
- The “comments only”.
- The “likes & comments allowed”.
Their name speaks for itself. But let’s be clear.
Likes only pods
Whether manual or automated, “likes only” pods only allow likes.
In other words, no comments should be published (or are requested) following the sharing of a post in the pod.
For manual pods, the major advantage is time saving. No need to rack your brains to find a relevant comment for each post.
For automated pods, the major advantage is control. Indeed, “liking” a post without knowing it is less engaging than commenting or sharing. First, the algorithm will highlight it less to your network. Then, you are not made to say anything in particular, unlike an automated comment.
Conversely, the major disadvantage is the impact on the reach of the post and the likes/comments ratio which becomes suspect.
A like is much less engaging than a comment. We talk about a ratio of 5 to 10 depending on the network. It will therefore have 5 to 10 times less impact on the reach of publications.
Then, there is the “suspect” aspect. Using pods openly is not very recommended because many people consider this practice as cheating. However, getting 500 likes for 4 or 5 comments is a suspicious behavior, evocative of the use of “likes only” pods.
Your audience will know it, but so will some algorithms. And the algorithms don’t like it either! So they might decide to “punish” you by reducing instead of increasing the views of your publication…
The “comments only” pods
Rarer, these are pods that only accept comments.
To counter the negative aspects of likes-only pods mentioned above. This type of pods is more often found in small communities (a few dozen people maximum), which wish to have a highly qualitative practice of using pods.
The “likes & comments” pods allowed
These pods accept likes and comments. They have the advantages and disadvantages of “likes only” and “comments only” pods.
When they are automated, they should be used with moderation. (See our best practices below).
Where and how to find pods?
In this part, we learn :
- Understand how to find the right pods, depending on their type and the social network you are looking for
It is a critical question! Because we talk, we talk, but in the end it’s what we really care about.
Already, the method of searching for pods differs between manual pods and automated pods.
As far as automated pods are concerned, it’s quite simple since they are often paid tools and therefore they know how to make sure that they are found.
For manual pods, however, it is more complicated.
The best small communities are often by invitation. You have to know someone in a pod who can invite you. Sometimes you’ll have to meet certain criteria to get in, like a minimum number of followers.
Engagement groups on Telegram or Whatsapp
Generally, people gather outside of the networks in question, which try to limit the use of pods by closing groups.
So we find a majority of manual pods on Telegram or Whatsapp. But don’t worry, a few well-targeted Google searches will quickly lead you to find what you’re looking for. (And we’ll share our findings with you too).
The best automated pods (or not) for LinkedIn
There are a few automated pod tools on LinkedIn. We have selected the 2 best ones (without question, the others are anecdotal).
: by far the most powerful with powerful commenting systems and a real understanding of the LinkedIn algorithm that offers you incredible performance. More than 1,000 pods, classified by industry & language with a real management system of best practices (we’ll come back to this later). The free plan gives you access to most of the features.
less complete but just as effective. On the other hand, there is no free plan but it is the most established tool on the market (especially in the US).
As for manual pods, there are a lot of them… It depends on your language so it’s hard to make generalizations. They are often gathered on Facebook or on some growth hackers’ Slack.
The best automated pods (or not) for Facebook
Admittedly, this is less our expertise at ProspectIn. After some research, we haven’t found any decent tools for automated pods on Facebook… If you know of any, please let me know on LinkedIn. I’ll be sure to update this article.
On the other hand, there are a few manual engagement groups, for example:
A few searches on the keywords “engagement group”, “Facebook engagement group”, “Telegram engagement group for Facebook” will bring you many results. Study one by one, depending on what you are looking for.
The best automated pods (or not) for Instagram
We found only two automated pod tools for Instagram.
The first one is Aigrow.
It allows you to join pods of different sizes and get automatic engagement. The tool seems reliable with 4.4 average on Trustpilot.
It is also them who shared a list of +200 pods on Instragam, which we share with you here.
Plus a few that I was able to glean here and there on Facebook :
The best automated pods (or not) for Tiktok
I’d rather tell you, we’re getting away from my field again. I don’t even have a Tiktok account!
Nevertheless, I’ve made your work a little easier by finding you some pods on Tiktok:
- A smaller group with 300 members (but sometimes quality is better than quantity
About automated pods… We found one. Chrome extension format. But we don’t guarantee anything, at your own risk. It’s TiktokPod.org.
Good practices to properly use engagement groups
In this part, we learn:
How to make the most of pods, according to their typology.
How to avoid risks and mistakes in the use of pods.
How to use pods without being asked to commit. Using engagement pods is not without risk. It can damage your image if it is too obvious, or reduce the reach of your publications if the algorithm is able to detect it.
But by respecting some good practices, everything should be fine. ?
Good practices with manual pods
First, it is fundamental to maintain balance. Engagement groups are communities of mutual aid. It’s not about sharing your content without return.
In fact, most manual pods impose a x5 or x10 or 24-hour rule. This means that before sharing a link you must have liked or commented on the last 5, 10 or all posts in the last 24 hours.
Failure to comply with these rules often results in being banned from the group.
Also, irrelevant or inappropriate comments are not appreciated and may get you banned from the group.
Finally, join groups in your industry that are relevant to you. This is a basic rule that applies to all pods (manual or automated).
Best practices with automated pods
Using automated pods saves a lot of time but has more “risks” than using manual pods.
The main risk is to get a bad image with your audience (by liking/commenting on inappropriate content) or to see the final reach of your LinkedIn post reduced because the algorithm has detected suspicious behavior.
If you want to master the best practices of automated pods, here is a complete article on the subject.
It can be summarized here:
- That you need to join trusted pods. Not all tools are created equal. And not all groups within tools are equal.
- The use of short or too standard comments is not recommended. Prefer writing a few high quality comments, they will have more impact on the reach and will seem less automated.
- Once you join a pod, take a look at what’s going on there: does the content posted look right? Are the members serious?
- Choose invitation-only pods over open pods, as there is often a screening process at the entrance.
- Create your own pods. This is the best way to build a reliable community that matches your expectations.
- Start engagement as soon as you publish your post (if possible schedule your post with the tool for maximum efficiency).
- Don’t use company pages. They are disadvantaged by the algorithms to encourage them to be visible via advertising (Learn more
- Check that the tool you use allows you to blacklist members. Thus, if a person seems to abuse the system, you will be able to refuse to engage on his contents.
Finally, whether you use them manually or automatically, pods are only a tool, not an end in themselves. Take the time to create quality content on social networks. Without it, you will never make it in the long run!
How to get engagement without liking or commenting on other content?
This is a question that comes up a lot. And if you’ve read the above, maybe you’re desperate to give up using engagement groups.
There are solutions. Finally, a solution!
On Podawaa, the automated pod tool for LinkedIn, there is a (paid) option that allows you to ask for engagement without giving any.
But then, the balance is off, isn’t it?
Well, no! Podawaa operates on a credit model. Engaging costs credits but engaging also earns you credits. Thus, by using the ADVANCE plan, you deactivate the commitment automatically on the publications.
But others, users on the free plan, will compensate the balance: they will engage a little more and will be rewarded in credits for that.
It’s beautiful isn’t it ?
Are engagement pods really effective?
This is a question that can be asked, quite naturally. First of all, because social networks are not very favorable to this practice that deceives their algorithms.
Then, because we have to define what is “effective”.
The objective of pods is to allow you to make more views, to reach more people. But social networks are based on human-to-human interactions.
At some point, pods can’t do everything. They’re only there to boost your reach. Not to create an audience of 0 or make you rich and famous. Unfortunately, in content creation, there is no magic bullet.
Quality, consistency, authenticity are the key words. Pods are a boost. A bonus.
Besides, their punctual use is less efficient: you have to get an algorithm used to publishing. Creating content is always a long term process. But if you are persistent and motivated, you will eventually get there.
On LinkedIn, for example, with the same rate of engagement on a publication, we observe a number of views that goes from simple to double between a profile that publishes regularly and a profile that publishes rarely (less than once a month).
But are pods effective?
Without a doubt the answer is YES.
According to a university study, the use of pods on Instagram even promotes organic comments. Social proof effect obviously (we see likes and comments so we’re more likely to put some in as well) but also simply we reach more people.
If you reach more people, you get morenatural engagement. And more natural engagement means you reach more people. The loop is closed.
On LinkedIn, the use of pods multiplies the reach of publications by 5 on average, and can go up to 50 depending on the publication and the use made of the tool.
Not bad, right?
Are engagement groups allowed?
Pods are not prohibited by law. But they are by all social networks.
Why is this? Well, because they seek to artificially influence the algorithm, which at scale does not participate in the proper functioning of the network.
However, an intelligent and reasoned use will be largely favorable to you.
How to get engagement without pods?
Of course, there are techniques to get engagement (likes and comments) without using pods or in addition. Here is a non-exhaustive list.
Create engaging content (or putaclic)
The term “putaclic” derives from the abuse of the practice of generating organic engagement by creating content that is often divisive.
By divisive, we mean “that has the particularity of creating camps, pros & cons that will compete in comments” stimulating the algorithm.
But beware. ⚠️
Remember, the goal of a content strategy is to be visible, create a quality audience and bring value to your audience. Making views is not the only goal and abusing a “putaclic” practice can backfire.
Example: Make a post with “For or against the death penalty for pedophiles”.
Guaranteed engagement. But at what cost?
Nevertheless, there are some good practices to boost organic engagement:
- ask a question at the end of your publication or video to ask for the audience’s opinion
- ask yourself when creating content “if I see this in my news feed, will I leave a comment?”
- use catchphrases that attract curiosity, that make you want to stop
Use the lead magnet or contest
These are two slightly different methods but based on the same principle: ask users to comment in exchange for something.
Widely used on Facebook or Instagram, the contest consists in selecting one or several people among the comments to offer them something. An experience, a gift voucher, objects..
The lead magnet, more used on LinkedIn, consists in asking for a comment to receive a study, a “high value added” article, that is to say something that will bring value to the end user.
Both techniques are effective, but be careful not to abuse them.
Internal company engagement groups
A little help between colleagues? A good practice with little risk for those who can’t like everyone’s posts.
This is actually an internal company or team engagement group. Each employee who posts asks for a helping hand from his colleagues with a comment and a like.
Like classic pods, it can be done manually (via a dedicated Slack channel for example), or automatically with tools like Podawaa.
This is a good first step before you start using pods in general.
Conclusion on engagement groups
Engagement groups. What a topic! A topic that has not finished to be debated. Between the pros who see it as a cheap opportunity to promote their content and the jerks who see it as a lack of authenticity and a vain technique to flatter their ego with dozens of likes..
By the way, you want to get views? Make a post “For or against pods”.
And let it go?