Meta Description: Day 2 update on building a personal brand from scratch — YouTube analytics, LinkedIn growth, newsletter strategy, and honest lessons from the first 48 hours of consistent content creation.
The First 48 Hours Are In — Here’s What the Data Says
Two days in and the numbers are already telling a story.
If you missed Day 1, the short version is this: I’m building a content engine from scratch — daily YouTube videos, LinkedIn posts and comments, a weekly newsletter, blog content, and an X (Twitter) presence — all aimed at a B2B audience in the Web3 and digital assets marketing space. No shortcuts, no automation (yet), just doing the reps.
Here’s what happened on Day 2.
YouTube: Watch Time Is the Metric That Matters
The channel sits at 59 subscribers, and we’re targeting an average of 10 new subscribers per day over the first month. We’re on pace — just.
But subscriber count isn’t what I’m watching closely. Watch time is.
Here’s why: watch time tells you whether your content is actually resonating. You can game impressions and even clicks, but if people are dropping off in the first 30 seconds, the algorithm notices — and so should you.
Current stats after two videos:
- 127 total views
- 8.7 hours of watch time
- Impression click-through rate: high (expected to normalise as the audience grows)
The second video — longer than the first — got more total watch time, but a lower percentage watched. That’s expected. People clicked the first video out of curiosity. The second video attracted people already familiar with the format.
My watch time benchmark: I’m aiming for at least 10% average view duration on long-form content. If I hit that consistently, it signals the right audience is finding the content.
New target I’m adding to the tracker: +5 hours of watch time per video, per day. Since I’m posting daily, that means watch time should compound steadily rather than spike and drop.
LinkedIn: 17 New Connections, But Comments Are Painful
The LinkedIn numbers are moving in the right direction:
- Started the day at ~252 connections
- Added 17 connections in 24 hours (target is 10/day — ahead of pace)
- Posted once (two likes and one comment within the first hour)
- Sent 20 connection requests
- Left 20 comments on other people’s posts
That last one — the 20 comments — took nearly an hour. I expected maybe 10 minutes.
The problem? Most of the feed is noise. AI-generated posts with no substance, direct-pitch content disguised as thought leadership, posts in other languages, irrelevant topics. Finding 20 genuinely good posts to comment on in the Web3/marketing space required switching between “Recent” and “Top” filters and spending the first chunk of time just following relevant pages and accounts to seed my feed properly.
What I’m testing next: 10 comments on individual profiles, 10 on business pages. Business pages are easier to find but generate less personal visibility. Individual profiles take longer to find but the engagement is worth more.
Honest take: An hour for 20 comments isn’t sustainable long-term. Before automating, I want to understand the pattern better — but this is clearly something that needs a tighter workflow.
On the connection request side, I’ve taken LinkedIn Premium (one-month free trial, roughly $30/month after) which significantly increases the weekly request limit. I’m keeping it at 20/day for now, with the option to scale to 40.
The Newsletter: Building the Funnel Before the List Exists
This is the piece I’m most focused on right now, and also the one that isn’t live yet.
Here’s the plan in plain terms:
The goal: 2,000 subscribers before sending any offer. At that point, I want a 5–10% open rate — meaning 100 to 200 people are genuinely reading each edition.
The content: A weekly Friday newsletter covering B2B marketing in the Web3 and digital asset space. Think: what teams get wrong after a token launch, how to build an audience that doesn’t disappear when the hype does, and the marketing fundamentals that Web3 projects consistently skip.
Why 2,000 first? Because sending to a tiny, unqualified list early trains the algorithm (and your audience) in the wrong direction. Better to grow it right than to burn a small list with a premature pitch.
The funnel structure I’m building:
Every content channel feeds into the newsletter:
- YouTube → newsletter link in description, main call to action in videos
- LinkedIn → custom button on profile, one dedicated post per week
- Blog → banner/popup for cold Google traffic, with a short welcome sequence
- X (Twitter) → link in bio
Traffic from different sources gets different onboarding. Someone who watched 45 minutes of video content doesn’t need a three-email welcome sequence explaining who I am. Someone who landed from Google does.
Platform decision still pending: I’m weighing Beehive against Active Campaign. Beehive is simpler and free up to ~2,500 subscribers (with branding). Active Campaign is what I’ve used before, but they’ve moved to annual billing only, which is a dealbreaker at this stage. Most options land around $70–100/month at the 5,000 subscriber mark.
The non-negotiable for me: sending via my own SMTP (SendGrid). I want to land in the inbox, not get batched with mass mailers on a shared IP.
Launch date: this Friday.
The Blog: Published Day 1, Already Indexed
The first blog post is live. Workflow was roughly:
- Record YouTube video
- Transcribe it
- Feed the transcript into Claude AI to generate a structured blog post
- Optimise with Yoast SEO (WordPress plugin)
- Install Google Search Console integration to trigger indexing
First time back doing this in about five years, so setup took around 30 minutes. Now that everything’s installed, it’s closer to 2 minutes per post.
This isn’t primarily a traffic play — yet. Right now it’s about brand presence, Google indexing, and giving the newsletter funnel a second entry point for cold organic traffic.
X (Twitter): Still Cleaning Up
Running Circleboom to remove inactive followers and get the account to a cleaner baseline before posting. The API keeps timing out, which is slowing things down. Should be done by end of day or tomorrow morning at the latest.
What’s Coming Next
The biggest unlock right now is the B2B content channel. This is a separate, more polished YouTube channel focused purely on Web3 marketing for teams and CMOs. First video goes out tomorrow — targeting 45 minutes to an hour, proper setup, white dress shirt (and gym shorts under the desk, let’s be real — the AC noise is a problem and the new mic is stuck in US shipping).
I also need to get link tracking sorted. Right now I’m using Bitly (free tier), but I need something that lets me route traffic by source and build proper conversion paths. Looking for something in the $29/month range — if you have a recommendation, drop it in the comments.
Key Takeaways from Day 2
What’s working:
- Watch time is healthy and growing — the content is resonating
- LinkedIn connection growth is ahead of pace
- Blog and indexing infrastructure is set up and running
- Newsletter strategy is mapped out clearly
What needs work:
- LinkedIn comment workflow is too slow — needs a tighter system
- Newsletter isn’t live yet — this is the critical path item
- Link tracking is missing — can’t properly attribute where subscribers come from
- B2B channel video still to record
Follow Along
If you’re building something similar — or you’re on the other side of this as a Web3 marketer trying to figure out post-launch community retention — this series is for you. Subscribe to the channel, and when the newsletter goes live Friday, get on the list. That’s where the deeper analysis will live.
See you tomorrow.
Colin Dijs is a Web3 go-to-market strategist based in Dubai
with 15 years of experience building and scaling businesses
across 3 successful exits. Over the past 5 years he has
overseen go-to-market campaigns for 150+ Web3 and digital
asset projects, covering tokenomics, token launches, community
building, and exchange listings. He publishes free Web3
marketing education on YouTube a for founders and CMOs in the digital asset space.