I ran Audience Loop on two scrappy lists last week—a Shopify customer file + newsletter subs, and a mixed batch of event leads split between HubSpot and Google Sheets. It felt like handing the boring parts to a capable assistant and getting back something I could actually launch.
I pulled the sources in, let the AI agents clean/normalize/dedupe/validate emails, and used the column-level prompts to enforce “company-domain only” emails and add a quick “role seniority” field. Identity resolution mattered: after a second pass and tiny prompt tweaks, my custom audience match rates jumped (Meta 43% → 67%, Google 39% → 58% in my case). From there I synced to LinkedIn/Meta/Google for paid and exported a clean CSV for our email tool.
The “always-on loop” is where it clicked. I checked their in-app analytics for list quality and match rate, nudged a few inputs, re-enriched, and re-synced the same afternoon—no rebuilding. Downstream, our warmed lists behaved better: CPA dipped ~14% over two weeks and CTR ticked up ~9%. Bonus: it surfaced ~11% role/invalid emails I’d been dragging around, so suppressions got cleaner before they hurt deliverability.
It’s early, but it didn’t get in my way. I’d personally love simple alerts (e.g., “match rate dipped below X%”) and more destinations as they ship (TikTok/Reddit when ready). The free plan with credits was enough to trial it on a real segment without ceremony.
If you’re stuck between duct-taped spreadsheets and an overbuilt CDP, this is a practical middle path. My first “show me” audience: high-LTV repeat purchasers + recent webinar attendees, enriched for seniority, filtered to company domains, suppressed for role emails—then loop, tweak, and re-sync.
No-code for Enterprises