Reddit Automation, LinkedIn Strategy, and Tracking What Actually Converts
Most founders burn hours on cold outreach and get nothing back. This post breaks down a real, in-progress content engine built to generate inbound leads from Reddit, LinkedIn, and Skool -- without a content team, without an agency, and without spending money you do not have to spend.
Getting consistent inbound leads from content is one of the hardest problems for solo founders and consultants. You know content works. You have seen it work for others. But between the posting, the engaging, the repurposing, and the tracking -- it never quite compounds the way you want.
This post documents a real experiment: building a multi-platform content distribution system from scratch, automating where possible, and measuring what actually drives people to your website. The lessons are directly applicable whether you are trying to build a founder-led marketing content flywheel or just want to stop relying on cold outbound.
The Core Problem: Cold Outbound Has Terrible ROI
Here is a data point worth sitting with. When comparing traffic sources in Google Analytics, organic social visitors spent an average of 1 minute and 26 seconds on the site. Direct traffic -- largely driven by cold email campaigns -- averaged just 14 seconds.
Cold outbound gets people to click. Content gets people to stay. And people who stay are people who might actually buy. This is the fundamental argument for inbound leads without cold outreach -- and it is backed up by real session data, not theory.
Traffic Source | Avg. Time on Site | Lead Intent |
|---|---|---|
Organic Social (content-driven) | 1 min 26 sec | Warm -- pre-built trust from content |
Direct (cold email-driven) | 14 sec | Cold -- minimal curiosity, low intent |
Automating Reddit Engagement: What Worked, What Did Not
Reddit is one of the most underrated platforms for thought leadership content leads. Communities are niche, trust is high, and the right comment on the right post can drive serious traffic. The challenge is that finding those posts manually every day is slow.
The goal was to automate Reddit post discovery using N8n so that every morning, a filtered list of relevant posts lands in a Google Sheet, ready to act on. Here is how that process unfolded:
Method Tried | Outcome | Notes |
|---|---|---|
RSS Feed node in N8n | Failed | Did not work as expected for Reddit feeds |
HTTP Request node | Partially worked | Worked on first run, then stopped functioning |
Official Reddit API (via reddit.com/prefs/apps) | Pending approval | Registered app, awaiting Reddit review |
Apify (paid scraping tool) | Available as fallback | Works reliably but has a cost -- exploring free-first |
Manual custom feed + 30-40 min/day | Current workaround | Added all target subreddits, filter by "new", engage manually |
The automation vision was clean: N8n pulls new posts from target subreddits, filters them against a keyword list, trims results from 22 items down to the 10 most relevant, then pushes post links into a Google Sheet. Every morning, open the sheet, click a link, and drop a comment. No scrolling, no hunting.
That workflow is not fully live yet. But the manual version is running. And the lesson for anyone building a LinkedIn comment strategy for leads or a Reddit engagement strategy: even without automation, having a curated feed of relevant communities and checking it with intention daily beats random, reactive browsing by a wide margin.
LinkedIn: What Early Traction Actually Looks Like
Three days in. Two active communities on Skool. And a LinkedIn post that started performing. Not viral -- real. Likes from strangers, a comment from someone who does not already follow the account, and engagement trending upward each day.
This is what early founder content strategy on LinkedIn looks like. It is not 10,000 impressions. It is three strangers who found value in what you shared and told you so. That signal matters more than most founders realize, because it is the beginning of a trust loop that -- when sustained -- turns into inbound leads from thought leadership.
The Skool communities were showing genuine engagement too: real questions from people who read the posts. Not bots, not connections doing you a favour -- actual curiosity from people in the target audience.
What the Data Said About Skool
A question was posted inside a Skool community asking experienced members which platform converts best. The consensus leaned toward Skool. Multiple members confirmed they had seen real conversions from the platform. The takeaway: the metric to track is not engagement. It is website views. Likes and comments confirm content is landing. Website visits confirm people are curious enough to investigate further. That is the transition from passive reader to potential lead.
The Metric Framework: What to Track and When
Building a content engine for startups or consultants requires tracking the right things at the right stage. Here is a practical breakdown of metrics by phase:
Stage | Primary Metric | What It Confirms | What It Does Not Confirm |
|---|---|---|---|
Days 1-14 | Engagement from strangers (likes, comments) | Content resonates with your target audience | People are curious about your offer |
Weeks 2-6 | Website visits from organic social | Content is driving real curiosity | People are ready to buy |
Month 2+ | Leads attributed by source | Which platform drives qualified traffic | Lifetime value of those leads |
Month 3-6 | Inbound enquiries + conversion rate | The content flywheel is compounding | -- |
One gap in most content marketing setups for consultants is attribution. You can see that someone converted, but you cannot always tell if they came from a LinkedIn post, a Reddit comment, or a Skool thread. The next step is implementing UTM parameters or separate landing pages per platform so that lead source tracking becomes precise.
The Full Multi-Platform Stack: One Video, Seven Platforms
The broader strategy behind this experiment is a one video, multiple platforms approach. Record one short video. Repurpose the transcript into platform-native content across LinkedIn, X, Reddit, Skool, Instagram, a blog post, and a newsletter. Every day.
Platform | Content Format | Lead Mechanism | Status |
|---|---|---|---|
Founder insight posts | Profile visits, DMs, connection requests | Active -- early traction confirmed | |
Value-add comments on niche posts | Profile link, DMs, community trust | Manual for now, automation pending | |
Skool | Community posts, questions, replies | Direct community engagement, leads | Active -- genuine questions coming in |
Blog | SEO-optimised long-form posts | Organic search traffic over time | Active -- posts published |
Newsletter | Weekly digest | Owned audience, direct nurture | Once per week cadence set |
X (Twitter) | Threads, short takes | Follower growth, link traffic | In stack |
Short video, carousels | Profile link, DMs | In stack |
Why Organic Social Outperforms Cold Outbound
When someone clicks a cold email, they have not chosen you. They clicked out of mild curiosity or habit. When someone clicks from a LinkedIn post or a Reddit comment, they have already read something you wrote, found it useful, and decided to learn more. That is a warm lead. They arrive on your site with pre-built trust.
This is the core argument for how to generate leads with LinkedIn content over time. Cold outbound can fill a short-term pipeline. But a sustained content system -- one that shows up consistently across multiple platforms for three to six months -- builds an audience of people who trust you before they ever reach out.
The compounding effect: Content does not produce leads linearly. The first month is quiet. The second picks up. By month three to six, the trust built across hundreds of posts starts converting into warm inbound enquiries from people who already know what you do and why it matters to them.
Practical Next Steps for Founders Building This System
Pick two to three communities first. Do not try to be everywhere on day one. Start with the platforms where your specific audience already gathers -- for most B2B founders, that is LinkedIn and one niche community (Reddit, Skool, or a Slack group).
Track website visits from organic social from week two onward. Set up Google Analytics with source tracking. The engagement-time comparison between social and direct traffic will tell you faster than anything else whether your content is attracting the right people.
Build the automation layer second, not first. Get the manual workflow working. Understand which posts drive the most engagement. Then automate the discovery and distribution so you can scale without more time.
Add UTM parameters to every platform link. This closes the attribution gap. Without it, you will see leads arriving but not know which piece of content or which platform earned them.
Post consistently for at least 60 days before judging the system. Early traction -- three likes from strangers, one comment from someone new -- is meaningful signal. Compounding takes time. The founders who quit at day 30 are the ones who never see the flywheel spin up.
The Automation Opportunity: Repurpose Video Transcript Into Platform-Native Posts
The highest-leverage move available to solo founders right now is not a better cold email sequence. It is a system that takes a single short video and turns it into a video transcript to social media posts pipeline that runs every day, across every platform, without requiring more of your time.
This is precisely what the Sellique content repurposing system does. You record one video. The transcript becomes a LinkedIn post, an X thread, a Reddit comment, a Skool post, an Instagram caption, a blog post, and a newsletter -- all formatted natively for each platform. Over three to six months, that daily output builds the kind of thought leadership content strategy that turns strangers into warm leads before they ever send you a message.
Summary: What Is Working and What Is Next
Area | Status | Key Metric |
|---|---|---|
LinkedIn posting | Active, gaining traction | 3 likes + 1 comment from strangers within 24 hours |
Reddit automation (N8n) | Pending Reddit API approval | Keyword filter reduces 22 posts to 10 relevant daily |
Reddit engagement (manual) | Active fallback | Custom feed, 30-40 min/day, filter by "new" |
Skool communities | Active, genuine engagement | Real questions from target audience members |
Blog | Active | Posts live |
Newsletter | Active | Weekly cadence confirmed |
Website traffic attribution | Next priority | UTM tracking per platform to be implemented |
Engagement time: organic social vs cold | Measured | 1 min 26 sec vs 14 sec -- content wins on intent quality |
The system is not perfect. The Reddit automation is not fully live. Attribution tracking is still manual. But the core thesis -- that consistent content without a content team can produce warm, trust-based inbound leads at a fraction of the cost and effort of cold outbound -- is already proving out in the data.
If you are building something similar, or if you want a system that handles the repurposing, formatting, and multi-platform distribution so you only have to hit record, that is exactly what Sellique is built to do.
One video a day. Seven platforms. Compounding over 3–6 months.
→ try for free, no credit card required.
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