u/Moroccan-Leo

I'm trying to figure out which model cost less when running real volume. Here is my current setup:

• content agency: $9.5k/mo retainer, gets us around 6 finished pieces per month (so $1.6k per ugc piece)
• platform/marketplace alternative: variable per creator, but i've seen $300 to $800 per piece quoted from a few

At first the platform looks like a no brainer until you factor in the time you spend vetting creators yourself, writing briefs / giving revision notes, managing payment and contracts, and chasing late deliveries

Agency at $1.6k/piece includes all of that. Platform at $500/piece probably adds 4 to 6 hours of internal time per piece if you're doing it right.

So the real comparison isn't $1.6k vs $500. it's $1.6k vs ($500 + around 5 hours of someone making $80k/year), that gets you closer to $700 to $800 actual cost on the platform side. still meaningfully cheaper.

Am i missing something? Anyone running 20+ ugc pieces a month who can share what your real per piece cost ends up being once you load in the management overhead?

I’m 8 months into my GTM engineering journey and just signed my fifth paying customer. Looking back at the first 90 days I spent a lot of time building things that didn't matter and almost no time building the infrastructure that actually runs my GTM motion now.

Giving back to the community and for some good karma :) here's what i would do differently starting Monday if i had to start all over again:

Record every single call. i didn't start recording and reviewing calls until month 4, which means i had zero transcript data on my first 30 conversations. Those were the most important conversations i had with early prospects. Buildbetter went in at the end of month 4 and should've been day 1. The compounding effect of reviewing 30 calls worth of transcripts versus 0 is not small, I can tell you that.

Build the automation layer before you need it. i built relay into my stack in month 3 when things started slipping through the cracks. By then i had already lost at least two deals to follow-up lag. The automation should be there before you have enough pipeline to need it and building it under pressure means building it badly.

Have a prioritization model before you have accounts to prioritize. This sounds backwards but it isn't. I spent the first 3 months treating every account in my pipeline with roughly equal energy. Yalc forced me to build a scoring model i should've built on day 1 with fake accounts and no data, then refined it as real signals came in.

Now i have to say what i actually spent week 1 doing lol. I was obsessing over a website and rewriting positioning docs over and over again. I optimized for things that felt like building a company instead of things that would tell me whether i had a company worth building.

Infrastructure built late costs more than infrastructure built early because you spend the middle months flying blind.

if you're in the first 60 days of a GTM motion, i would genuinely prioritize these over almost everything else including the pretty website.

Has anyone gone through something similar? How were your early GTM days?

Hello everyone, I work remotely and I’m looking for a good coffee shop or a spot where I can work with decent WiFi. Anyone can recommend any good spots in the city? Danke!

The economy isn't the best in all of Germany, but there are some cities that are doing slightly better than others.

If you had to pick to live in any city in Germany right now, which one and why?

Hi folks, i’ve been doing SEO for 6 years mostly long form articles, affiliate content, some freelance client work. I started getting curious earlier this year watching Gemini pull YouTube videos into AI overviews for queries my articles were ranking for so i decided to run a proper experiment instead of guessing.

Basically i took 12 of my best performing articles across 3 niches and converted each one into a YouTube video using the same script. You simply do this by feeding your existing article into either argil for example or pictory, your call really many similar ones get the job done, i then embedded the video back into the original article and posted them in Youtube shorts as well.

I tracked everything for 90 days and here's the results i got after 90 days: 

On rankings: 8 of the 12 articles saw dwell time increase after embedding video. average session duration on those pages went from 1m40s to 3m10s. 3 of those 8 moved up between 2 and 5 positions over the 90 days. The other 4 saw no meaningful change. Correlation not causation, I know, but the pattern was consistent enough to keep doing it.

On Gemini AI overviews: this is the more interesting part. I started manually checking my target queries in Gemini weekly. By week 6, 4 of the 12 videos were being cited or referenced in Gemini overviews for queries where my articles weren't being cited before. The videos that got picked up had one thing in common, they answered a specific question clearly in the first 60 seconds and the ones that didn't get picked up were more general.

On YouTube itself: i didn't expect much here since the channel is tiny. got 3 of the 12 videos organically discovered through YouTube search on their own, separate from the embedded article traffic. low volume but they're compounding.

What I learned after this experiment is that Gemini is indexing YouTube video content and it responds to the same things good SEO content responds to which is clear question in the title, direct answer early, specific over general. The dwell time signal from embedding video in articles appears to be real but not really significant, and the bigger win was Gemini citation coverage on queries I wasn't getting text coverage for. 

I know 12 videos is relatively a small sample, but i really wanted to test this to feed my seo nerdiness lol. 

Anyone else testing articles to video as part of their SEO/GEO strategy ??