Q&A about Adzact

 Adzact doesn’t rely on intent signals or engagement data, it finds companies that are fundamentally a good fit based on signals like hiring, tech stack, language on-site, and more. It’s higher up the funnel and more precise.

Yes. Adzact finds net-new accounts based on fit and also supports retargeting existing audiences, all managed from one place.

 You can track a wide range of conversions including form fills, subscriptions, ticket sales, and content downloads, just like you would in Google Ads or LinkedIn. Each campaign gets unique UTM parameters, and we constantly keep the conversion rate of companies by grade from impression to closed-won in review as you win more customers.

 We run campaigns across LinkedIn, Meta, Google, Reddit, G2, and the open web via StackAdapt, all orchestrated through a single platform.

 We’ve built a domain-specific LLM trained on data from over 100 million company web pages, job listings, tech signals, and more. Think of it as a search engine for B2B fit.

Unlike traditional filter-based targeting, Adzact's approach combines Machine Learning and AI, advanced LLM techniques, and proprietary data to create predictive insights that accurately forecast the likelihood of future conversion for every business simultaneously, well in advance of engagement or meaningful intent, meaning clients of Adzact can grow faster than organic demand.

Yes, you can build and switch between multiple TAM models for different products, regions, or campaigns.

 We charge a platform fee, typically $3K to $13K per month.

You can generate custom UTM codes to track leads and conversions inside your CRM, but we also recommend measuring impressions versus the likelihood of accounts becoming customers using our fit-based attribution model.