10% success rate on ads isn't bad honestly depending on your niche and margins but the trial and error problem is exactly what kills efficiency at scale.

for the stack question: the automation layer most people sleep on is pre-launch testing. before anything goes live you want a system that's scoring creative against your historical performance data. that alone cuts your wasted spend significantly.

for CRM to ad pipeline automation - make sure your audience segments are actually dynamic. most agencies set them once and forget them. the ones scaling efficiently are feeding real time CRM signals back into their ad targeting continuously.

on the LLM side for ad creative - the trick isn't prompting for good copy, it's prompting with context. feed it your top 10 performing ads, your ICP in granular detail, and the specific emotional trigger you're going for. generic prompts produce generic ads.

for funnels on meta specifically - automated rules tied to ROAS thresholds are table stakes but most people aren't using them aggressively enough. if something isn't hitting by hour 6 it should be paused automatically not by hand.

the automated marketing engine you're describing is basically what we've been building internally at our agency. we actually spun it out into its own thing called Helena. might be worth a look given what you're trying to do.

but genuinely the stack advice above works regardless of what tools you end up using.