Ask HN: How do you know when an Ad campaign is doing well?

Here's some background information: I am running a B2C SaaS, GoDotWebs, and it launched 8 days ago. I ran Google Ads (Search Ads) on a $60 small budget to test.

Here's the average B2C SaaS ad performance; I searched it up:

- 300 Impressions - 6 Clicks - CTR 2.09%–3.49% - CPC $1.70–$3.80

Here's how my campaign is doing:

- 223 Impressions - 9 Clicks - CTR 4% - CPC $1.93 - $17.35 Spent - $60 Budget in Total

What does that mean for my campaign, or is it still too early to conclude?

I am a bit impatient and paranoid lol.

First time using Google Ads.

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buffer_overlord an hour ago | parent | next [-]

When I fall for it

	▲	TheRickyRed an hour ago \| parent [-]
		have you

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verdverm an hour ago | parent | prev [-]

An ad campaign does well if it brings in more money than it costs. Marketing takes time, a long time. Better to not spend money early and try to get early feedback from organic visits. Are you even building something people will pay for?

If this is it: https://godotwebs.com/, my browser does the "Auto-fill the web" main tagline. There are 100s of others doing the rest, what makes yours special? (go look up the others to know or find they are all pretty much the same)

I personally find the idea that an Ai can simulate how users will react to your product dubious. I certainly would not pay for it before having my own Ai's take a shot at it.

Something I said earlier today to my group chat "Ai is only good at a thing if the people driving it are good at that thing." I think this applies to any SaaS in the Ai era, the advantage (if not data) is deep domain expertise you can put into the prompts/context/harness.

	▲	TheRickyRed an hour ago \| parent [-]
		I've searched for my competitors, and many of them are job-oriented or PDF-filling. None of them provides an instant feedback feature, which is our main differentiator. And, uhm, we are cool ;) But yeah, you're right, marketing takes a while, so I had some testers giving me feedback, so I know I'm on the right trajectory. Not spending money early is debatable. For a B2B product that would be arguably stupid, but B2C should be a different story, right? The advantage part: if you can make something more convenient or eliminate pain points, people would consider paying for it. You can interpret it like everyone knows how AI works, and they can all utilize AI perfectly. Domain expertise may work well in B2B. For B2C, it's about simplicity. Just don't overdo it and end up making, like, an everything-app.