Unify's Plays are DAGs. A signal hits, the play runs, the steps execute, the play ends. Their own engineering blog confirms it: "Plays, our flagship feature, represents automation workflows as dynamic DAGs with nodes and edges representing actions and dependencies." Their CEO has stated on the record that the best teams run "25 to 50 different plays." Fifty plays = fifty separate scripts, each maintained by hand, none connected.

Warmly inverts this. The Context Graph is persistent state per account: every visit, every email open, every LinkedIn click, every signal lives on the account forever. The agents read the account state and decide what to do next. When a known account hits your pricing page for the third time, Unify's response depends on whether you built that specific play; Warmly's response depends on account state that already includes the prior two visits, the deal stage, last email response, and ICP tier.

Unify has no AI chat, no on-site visitor agent, no live chat. Multiple independent reviews confirm it. (Marketbetter) Every visitor signal in Unify funnels through outbound: visitor lands → Play fires → email goes out tomorrow.

Warmly closes the loop in-session. Visitor lands → Inbound Agent identifies them at the person level → AI chat opens (or pop-up, or Slack alert to the rep) → conversation happens now. Around 95% of your website visitors never fill out a form. With Unify, your only inbound capture is whatever partners resolve at the company level (77%) plus tracked email clickers. With Warmly, you ID the visitor on cold traffic at the person level, then decide whether to talk now or fold into outbound. Inbound feeds outbound, outbound feeds inbound, the same brain runs both. Unify can't run that flywheel because they don't ship the inbound half.

Unify's visitor identification is partner-aggregated (6sense, Clearbit, Demandbase, Snitcher). Per their own announcement: "Unify reveals over 77% of our customers' website visitors today." That's the company level. Person-level resolution on cold visitors isn't in the architecture. Per Warmly's published research: "UnifyGTM can only do that through specially marked links via email."

Translation: tracked email click = Unify knows it was them. Cold from Google or LinkedIn = company (sometimes), never person. Warmly identifies the person on cold traffic via 20+ de-anonymization providers and a 4-year-old identity graph (220M+ person profiles, 30M+ company profiles). Every chat, every email open, every ad impression ties to a specific person at a specific account. Real full-funnel attribution, not surveys.

Unify writes about their own ad spend (60M post) but ships no native LinkedIn/Meta/Google audience sync. They consume LinkedIn engagement as an inbound signal. They don't push audiences out.

Warmly's TAM Agent has native LinkedIn Matched Audiences and Meta Custom Audiences. Webhook layer pushes the same audiences to YouTube, Google Customer Match, or any platform that takes a contact list. Audiences update event-by-event: when an account crosses an intent threshold, the buying committee gets added automatically; when they convert, suppressed automatically. For demand gen marketers, this is the difference between guessing what your $50K LinkedIn budget did and seeing exactly which ad impressions drove which closed-won revenue.