You're managing eight clients. Each has three to five social channels. You post three times a week per channel. That's between 72 and 120 pieces of content per month, just for one person to track, write, review, approve, and schedule. Now add a second client. And a...
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For nearly two years, I posted on LinkedIn whenever I had something ready, then went quiet again. I never posted enough to know which topics or formats actually worked for my audience.
Meanwhile, I was creating content almost every day for SaaS brands, from SEO and AI search articles to case studies and social posts. My articles had increased organic traffic for several brands, and some LinkedIn posts I’d written had helped their company pages reach new audiences
I decided to run the next experiment on my own LinkedIn account. On August 3, I announced it in a LinkedIn post. That meant one thing: now I actually had to do it.
I picked August, the month half of LinkedIn checks out and goes on vacation. Great timing, I know. Some might say this wasn’t very strategic.
But the results surprised me. It took 20 posts before anything went viral, and it happened on the very last one.
So here’s how the full month went, week by week, including what worked, what didn’t, and what helped me keep going until post 21.
How the experiment started
For a while, I kept seeing creators on LinkedIn share the results of posting every day for three or four months. Their progress made me curious about what that level of consistency could do for my own profile.
Three or four months felt unrealistic alongside client work, so I set a smaller goal: post every weekday for one month. That gave me enough time to collect useful data without turning the experiment into a long-term commitment.
Why I needed a social media management tool
To make that work, I needed a better system than drafting and publishing directly on LinkedIn whenever a post was ready. I wanted one place to store ideas, prepare content in advance, schedule posts, review the full month, and track performance.
Analytics were especially important. LinkedIn provides useful metrics such as profile views and saves, but I found it harder to track follower growth over time or compare post performance across a specific period.
I also planned to test several formats, including text posts, images, videos, links, and PDF carousels, which made using a third-party tool more practical.
Why I chose Planable
I reached out to two social media management platforms I had already tested: Planable and another tool. I’d previously used Planable’s free trial and found it easy to navigate, while the other platform had also made a good first impression.
Only Planable responded. The team liked the experiment and gave me access to the Pro plan for one month, so I used Planable to plan, schedule, and track the full test.
Disclosure: This wasn’t a paid partnership. Planable gave me access to the Pro plan at no cost, but I wasn’t paid to run the experiment or share the results.
My starting point: ~3,100 followers and no real posting system
To give you a little context, I’d spent the previous two years posting on and off, usually when I had client research, SEO news, or a finished article to share.
Here’s what my LinkedIn numbers looked like when I started:
Around 3,100 followers
Around 1,000 impressions per post
100 profile views/month
No consistent system for drafting, scheduling, or reviewing my results
Moving my LinkedIn workflow into Planable
Once I’d decided to use Planable and had everything set up (which was very easy to do), I moved my ideas and drafts there so I could see what I had planned.
Could I have drafted and published everything directly on LinkedIn? Sure. But managing a month-long posting challenge that way gets time-consuming fast. I’d tried it before, and it didn’t work for me.
Using Planable made the month easier to manage because I could plan, schedule, and review everything from one calendar.
Here’s what the full month of published posts looked like:
Planable monthly social media calendar
Just a note that I didn’t schedule the whole month at once. I usually planned a few days ahead, checked the results, and adjusted what came next.
For example, on Mondays, I shared a recap of the previous week. I included my total impressions and showed which posts performed best and worst.
Those recaps became some of my best-performing posts, probably because people love honest numbers.
One note before getting into the weekly results: the screenshots below show performance at the time I checked them. Posts continued collecting impressions and engagement afterward, so the final totals are slightly higher than some of the weekly snapshots.
With that out of the way, let’s start with Week 1.
Week 1: I kept posting what I knew and commented every day
My plan for the first week was simple: start with the kind of content I already knew how to create, and spend just as much time commenting on other people’s posts as I spent writing my own.
Making the challenge public
I changed my headline to “Posting on LinkedIn for 30 days. Results soon!”. That way, when I commented on other people’s posts, they could immediately see that I was running an experiment.
And that’s exactly what happened in my DMs:
It wasn’t just DMs, either. Making the challenge public gave people a reason to follow along, and a few creators started encouraging me in the comments too:
Testing posting times and formats
For the posts themselves, I prepared the images and captions inside Planable and scheduled them from the same place.
I mostly posted early in the morning, but not always.
One Planable feature I loved using was Best Time To Post, which sometimes suggested posting in the afternoon instead of my usual early-morning slot:
I wasn’t only testing posting times. That week, I also tried a few different formats like plain text, photos with text, and video.
The posts featuring my own photos did best. And the video I’d put the most effort into? It got around 500 impressions and 12 reactions.
Week 1 results: 3,073 impressions and 27 new followers
Here’s a snapshot from Planable Analytics showing how Week 1 looked when I checked it:
After five posts, I had:
3,073 impressions
114 reactions
27 new followers
Nothing had really taken off yet, but I finally had enough data to start comparing posts and seeing what people responded to.
My main takeaway from Week 1 was not to expect too much too soon.
Five posts weren’t enough to draw big conclusions, but they gave me a baseline for deciding what to test next.
Week 2: Being early to breaking news didn’t get me more impressions
The biggest lesson from Week 2 was that being early to a breaking news story didn’t automatically mean more impressions or engagements.
I posted about the Claude watermark news within a couple of hours of it dropping, when barely anyone else was talking about it. I also put the external link (source) directly in the post.
So naturally, I expected that one to do well. Instead, it got 614 impressions and just 9 engagements, the lowest engagement of any post I published that week:
But the same story worked really well for someone else.
A few hours after mine, a LinkedIn creator with almost 80K followers and an established SEO audience posted about the exact same story. His post went viral almost immediately.
What he did differently:
Used an image to highlight the news
Put the link in the comments
Already had almost 80K followers and an established SEO audience
I can’t say for sure which mattered more: the image, the link placement, his audience, or a mix of all three.
But link placement was one thing I could test myself.
Later in the challenge, I tested that approach on another post with an external link.
That post reached almost 1,000 impressions, compared with 614 for the Claude post:
Of course, link placement wasn’t the only difference, so I can’t say it caused the increase. But the result gave me a reason to keep testing it.
The only downside was that I couldn’t track clicks on the link I’d placed in the first comment. My main goal with that post was reach and engagement, though, so I was okay with that.
Week 3: My best post so far came after a big creator commented
By Week 3, I finally had my best-performing post of the challenge so far.
It started with a pretty honest hook:
I thought posting every day on LinkedIn was cringe. Then I tried it myself.
I was halfway through the challenge, so I shared five things that had changed, from overthinking less to treating posting as practice.
In the last point, I mentioned a few creators who post consistently because the challenge had made me realize how much work actually goes into it.
Here’s how it performed compared with my other posts that week:
It reached 2,400 impressions and received 67 engagements. That one post brought in more than half of all my impressions that week.
Why I think the comments helped
Two of the creators I mentioned joined the conversation. They each have around 80K followers, and I think their comments helped the post reach people outside my usual audience.
One of their comments even got 12 reactions, more than some of my own posts received that week:
Then other people started tagging more creators in the comments, which kept the conversation going.
That was the real lesson from Week 3: tag people only when they genuinely belong in the post.
In this case, they were part of the topic, so they had a natural reason to join the conversation.
Week 4: My last post of the challenge went viral
By then, I’d published 20 posts and none of them had gone viral.
I only had one post left for the challenge, so I decided to end the month with a simple recap of the experiment.
And guess what? It went viral! 🥳 It reached 31,100 impressions, 221 reactions, and 81 comments:
Why I think the final post worked
I shared the honest truth about the whole month, including both the pros and cons.
Until then, I hadn’t received huge impressions or engagement, so I shared exactly what I had experienced.
Some of the cons I included were:
My posts had averaged around 700 impressions
Nothing had gone viral, even though I’d posted every weekday
And some of the positives people related to were:
I received around 460 profile views
Two people had started their own challenges after following mine
You can see the full viral post if you want to read it.
It wasn’t a perfect success story, and that was probably part of why people connected with it.
I also ended with “Did I miss something?” so readers had an easy way to share their own experiences.
And here’s the irony: one of the cons literally said, “No post went viral, even though I posted daily.” I’m still laughing about that one.
The post kept growing after the challenge ended
But it didn’t stop there. The post kept growing for several days afterward and ended up sending 584 people to my profile.
Normally, I’d get around 100 profile views in an entire month. Maybe because I told people to check how many followers I’d gained, so that probably gave them another reason to visit my profile.
And 96% of the post’s reach came from outside my existing network:
Then came another surprise. By the time I took this screenshot, Planable showed that I’d gained 233 followers.
The viral post gave that number a big push at the end, but I’d already been gaining followers throughout the month. People were following the challenge, checking my weekly updates, and joining the conversation as I went.
That made me realize that going viral wasn’t the only thing bringing new people to my profile.
The takeaway is that posting consistently gave people more chances to discover and follow me.
Results after 21 LinkedIn posts: 46,584 impressions and 767 engagements
After 21 posts, here’s how the experiment broke down week by week:
Period
No. of posts
Post types and formats
Impressions
Total engagement
Week 1
5
Text posts, personal photos, and video
3,428
130
Week 2
5
Weekly recap, screenshots, personal photo, and link post
3,188
95
Week 3
5
Weekly recap, text posts, personal photo, and data screenshot
4,643
144
Week 4
5
Weekly recap, text post, personal photo, and PDF carousels
3,725
93
Final viral post
1
Text-only pros-and-cons recap
31,600
305
Total
21
Text, photos, video, screenshots, and PDF carousels
46,584
767
Week 1
No. of posts
5
Post types and formats
Text posts, personal photos, and video
Impressions
3,428
Total engagement
130
Week 2
No. of posts
5
Post types and formats
Weekly recap, screenshots, personal photo, and link post
Impressions
3,188
Total engagement
95
Week 3
No. of posts
5
Post types and formats
Weekly recap, text posts, personal photo, and data screenshot
Impressions
4,643
Total engagement
144
Week 4
No. of posts
5
Post types and formats
Weekly recap, text post, personal photo, and PDF carousels
Impressions
3,725
Total engagement
93
Final viral post
No. of posts
1
Post types and formats
Text-only pros-and-cons recap
Impressions
31,600
Total engagement
305
Total
No. of posts
21
Post types and formats
Text, photos, video, screenshots, and PDF carousels
Impressions
46,584
Total engagement
767
The first 20 posts generated 14,984 impressions combined. The final post alone reached 31,600 impressions, more than doubling the reach of everything I had published during the previous four weeks.
That’s what it took: 20 LinkedIn posts before the 21st one went viral.
But the bigger result was everything that happened before that final spike. The month gave me enough data to see which formats worked, which topics people responded to, and how consistency affected discovery over time.
My experience using Planable for the experiment
I opened Planable almost every day during the challenge.
I had around 30 drafts by the end, although 21 went live. Some were complete posts, while others were just an idea, a possible hook, or something I wanted to come back to later.
Keeping ideas, drafts, and notes in one place
One feature I found useful was leaving comments under my drafts.
As a content writer, I’m always saving notes, sources, links, and different angles I might want to explore.
Instead of keeping all of that across Google Docs and random notes, I could leave it beside the post itself and return to it later.
The filters also helped me manage all those drafts without getting overwhelmed. I could quickly separate published posts from scheduled ones and ideas that still needed work.
I didn’t schedule the entire challenge in advance because I wanted to adjust my content based on what was happening in real time.
I usually planned a few posts ahead, but I also opened Planable during the day to schedule something based on its suggested best time to post.
Using analytics to compare what worked
I probably used the analytics more than anything else.
I could choose a specific date range, follow my follower growth, and see the posts I’d published through Planable together.
That last part is worth knowing if you’re using a LinkedIn personal profile: Planable Analytics shows data for personal-profile content published through Planable.
For this experiment, that worked well because all 21 challenge posts went through the platform.
Planable also showed whether each post included text, an image, a video, a link, or a PDF, which made it easier to compare the formats I was testing.
Grid view in Planable
I even reused the same topic in another format, turning one written post into a carousel.
That one didn’t perform particularly well, but that was still useful data for deciding what to test next.
Small features that saved me time
Scheduling the first comment was another feature that helped me a lot.
I usually forget to return to LinkedIn and add one, so I started preparing it with the post. Sometimes I used it for an external link, but I could also add more context or a question to continue the conversation.
For image posts, I could also make quick edits, such as cropping an image, without leaving Planable.
Planable image editor
What still required manual work
A couple of things still required extra work.
On my LinkedIn personal profile, I couldn’t tag individual creators directly from Planable, although tagging company pages worked in the setup I was using.
When I mentioned creators, I had to publish the post and then edit it manually on LinkedIn to add the tags.
I also found it difficult to tell from the preview exactly where LinkedIn would cut off my opening hook, so I still double-checked that manually.
Overall, Planable kept everything organized, even on days when I had plenty of ideas but wasn’t sure which angle to use.
Was posting every weekday on LinkedIn worth it?
By the end of the month, I realized the answer depended on what I counted as success.
If success meant that every post would perform well just because I published every weekday, then definitely not.
Most of my posts stayed around the same level of impressions, and some performed much worse than I expected.
But if success meant reaching new people, becoming more confident, and finally understanding what worked on my own LinkedIn profile, then yes, the experiment was worth it.
What worked
I reached new people. I received 1,050 profile views during the month and DMs from people who had never interacted with me before.
Consistency helped people recognize me. Posting regularly helped people connect my name with the topics I write about.
I got faster at writing. Creating something almost every weekday made me more confident and stopped me from overthinking every post.
I finally had enough data to compare. Instead of judging my strategy from one random post, I could compare topics, formats, and results across a full month.
I learned to reuse ideas. One topic could become a text post, image, or carousel, even if the second version didn’t always perform better.
The posts built on one another. Weekly updates gave people a story to follow, which likely helped the final recap resonate.
Repeating themes wasn’t a problem. Most people weren’t seeing every post, and repetition helped reinforce what I wanted to be known for.
What didn’t work
Posting every weekday took more time than I expected. It was especially difficult on days when I also had client work to finish.
Not planning ahead created unnecessary stress. On two days, I had plenty of drafts but still struggled to choose the right angle.
More posts didn’t immediately mean more reach. The low impressions at the beginning were discouraging.
More effort didn’t guarantee better results. The posts I spent the most time writing, designing, or formatting weren’t necessarily the ones that performed best.
I started thinking about hooks constantly. That was exhausting at times, although it probably also made me a better writer.
The schedule could become difficult without a system. Having somewhere to collect ideas and prepare a few posts ahead made a big difference.
Individual posts could still fail. A consistent LinkedIn strategy didn’t mean every post would work.
Recap: What I learned from posting consistently on LinkedIn
After 21 posts, lots of analytics checking, and one very unexpected viral ending, these are the six things I’d take from this challenge:
Plan a few days ahead, not necessarily the whole month. This gave me room to check results and adjust what came next. Having everything together in Planable made that much easier.
Make the challenge public. My headline and weekly updates gave people a reason to follow along.
Spend time commenting too. Some people discovered me in other creators’ comments and then visited my profile.
Test different topics and formats. My own photos performed better than the video I spent the most time creating, and being early to breaking news didn’t guarantee anything.
Tag creators only when they genuinely belong in the post. When they had a natural reason to join the conversation, their comments helped keep it going.
Don’t overcomplicate every post. My simplest and most honest recap became the one that went viral.
The challenge is over, but I’m definitely not done posting.
And apparently, it’s already spreading. A few people told me they started their own challenge after following mine:
If you’re thinking about trying this yourself, you don’t need to plan the whole month at once.
Denisa Lamaj is a content strategist and writer who has worked with 30+ SaaS brands. She specializes in content strategy, organic growth, and turning interviews, original data, and real results into useful case studies. She also studies how search behavior is changing and tests how content gets discovered across Google, AI search, and social platforms.