We run an AI content QA platform, and use Unstuck Engine to help us zero in on the best-fit ICP. Unstuck Engine's multi-dimensional scoring is perfect for this - it separates companies doing actual content operations (our buyers) from marketers who just want a grammar checker (not our buyers). The progressive investment model means we spend real money on high-intent enterprise teams and not on tire-kickers. Integration with our workflows was seamless.

I like the transparency of Unstuck Engine's 3-dimensional scoring model. It explains clearly why an account or persona is prioritized, making it easy for us to justify our GTM efforts, especially when allocating senior partners' time in the outbound effort. The core functionality works really well and adds value. The initial setup was straightforward and quick; it didn’t take much time to connect to our data sources. Once we defined our initial hypothesis, the platform started surfacing the prioritized accounts automatically.

I run outbound programs for 6-7 clients at a time, and Unstuck Engine is the only tool that actually makes account-based marketing work at scale. The three-dimensional scoring (fit + persona + intent) means I can build different outbound plays for different segments - high-fit/high-intent accounts get personalized video + LinkedIn voice notes, medium accounts get sequenced cadences, low-fit gets nurture only. The progressive investment framework basically became my entire ABM methodology. Clients love it because I can show exactly why we're spending more on certain accounts.