Free, andmildlyinconvenient.

Note 01 · 4 min

You don’t have a traffic problem.

After a raise, the instinct is to buy more of whatever worked before. More spend, more channels, more people sent to the same page. Pipeline doesn’t move, CAC climbs, and the conclusion is that you need still more traffic.

Usually you don’t. You have a message problem wearing a traffic costume.

If people arrive and don’t act, more of them arriving won’t help.

How to tell, in an afternoon

• Read your homepage aloud to a customer. If they have to translate it back into their own words, you’re describing your product, not their problem.
• Put your last ten ads next to your three biggest competitors’. Cover the logos. If you can’t tell whose is whose, neither can your buyers.
• Compare your won deals with your lost ones. If the reasons people bought don’t appear anywhere in your marketing, you’re selling the wrong thing to the right people.
• Check where the funnel breaks. If paid traffic converts at half the rate of referrals, the gap isn’t the channel. It’s the promise.

None of this needs a budget. All of it needs someone willing to hear that the problem isn’t the one in the board deck.

Note 02 · 5 min

Five bottlenecks that stall SaaS after a raise.

We see the same five, in different orders, in almost every company that raised in the last year. Here’s how to spot each in ten minutes.

1. Rising acquisition cost

Spend is up, pipeline is flat, and cost per lead on LinkedIn and Google keeps creeping. Look at audience overlap and frequency before you look at bids.

2. Tired creative

Open your ad library. If your best-performing ad is older than your last funding round, you’re not testing. You’re hoping.

3. A fuzzy customer

If the answer to “who is it for?” is “B2B teams”, your win rate will tell you the rest. Pull your last twenty closed-won deals and look for what they actually share.

4. A leaking funnel

Traffic arrives, demos don’t get booked, trials don’t convert. Find the single stage with the biggest drop, and fix only that first.

5. Numbers nobody trusts

If marketing, sales and finance each report a different CAC, you’re not making decisions. You’re having arguments. One source of truth comes before any new spend.

Each one is fixable. The hard part is knowing which one is yours, and admitting it isn’t the one you’d prefer.

Note 03 · 3 min

Machines dig. People decide.

We produce forty ad variants in a day. A machine writes most of the first drafts. A person picks the one that ships, and a person decides whether any of them should ship at all.

That split is the whole model. Research, data pulls, competitor monitoring, first drafts and reporting are assembly, and assembly is what automates. Judgement doesn’t. Anyone telling you otherwise is selling you something else.

The stack does the forty versions. The room does the one that ships.

It’s why a diagnosis takes us three days instead of six weeks. Not fewer hours of thinking. Fewer hours of collecting.