u/Bulky-Economy-6746

I don't care what you watched on Netflix last night. I don't care that you're behind on Severance. I don't care that you're rewatching The Wire. I don't care that your wife made you watch The Bear and now you both have opinions about it.

I am at my hot desk. I have headphones on the desk in front of me and on my head. My calendar has a red block on it that says "deep work." My Slack status is the little do-not-disturb moon icon.

This is not subtle.

I worked from home for four years. I had three real conversations a day, all of them with people on my team about work things. I have been back in the office for nine weeks and last week alone I was told about a podcast, a documentary, two restaurants in the financial district that "everyone is talking about," and a guys daughter's recital. I do not know this guy's daughter. I do not know this guy.

Stop coming up to my desk. Stop hovering near my desk. Stop sliding into the hot desk next to me when there are eleven open ones on the other side of the floor.

The office is for the people who don't have anything to do. I have things to do.

Small B2B SaaS, ~$48k MRR. We were running ads on Meta, Google Search, LinkedIn, and one industry newsletter sponsorship. About $9,400/month total spend split roughly evenly.

Three months in I was ready to kill the newsletter sponsorship. The reporting from the newsletter was vague — opens, clicks to our site, that was it. No conversion data, no audience data, nothing comparable to what Meta and Google were giving us.

Decided to wait one more quarter and actually instrument it properly. Built a separate landing page just for the newsletter audience. Tracked from click to trial to paid using the customer's email match across our database. Took maybe 2 hours to set up.

Six month results, organized by cost per paid customer.

Newsletter sponsorship: $112 CAC. Conversion from click to paid was about 3.4%. Audience matched our ICP almost exactly because the newsletter was niche.

Google Search: $189 CAC. Predictable, scalable, but hitting diminishing returns above a certain spend.

LinkedIn ads: $407 CAC. Good audience but cost per customer made it hard to justify.

Meta: $516 CAC. The audience matching on B2B has degraded for our ICP specifically. We are killing this in Q2.

The thing I keep thinking about is that I almost killed the best channel because the reporting was bad. The CAC didn't show up on a dashboard until I built one for it. The CAC I trusted on the other channels was real but wasn't comparable because I had no baseline.

The lesson, if I have one, is that "the data we have" is not the same as "the data that exists." There's another lesson about not killing things based on dashboards alone but I haven't quite figured out what to do with it yet.

old workflow: client brief → figma mockup → 4 rounds of revisions → client approves → dev hands off.

new workflow: client brief → gamma mockup (AI website builder) → 1 round of revisions → figma final → dev hands off.

we use gamma to test the structure before the visual layer. clients lock in the page architecture before we burn 14 hours on figma.

revisions on figma files dropped 60%. designers thank us monthly.

stop doing pixel design before content design. it's backwards.