Paid acquisition
Full coverage across the channels that matter. An outcome-driven, multi-channel system — every dollar trackable, every dollar optimizable.
PAID ADS · CHANNELS
METHODOLOGY
Audience tiers
Cold, warm, and hot segments mapped to intent — with creative tuned for each.
Creative engine
Multi-variant output. A/B and incrementality testing run on a weekly cadence.
Attribution that works
Cross-channel modeling and automated bidding — built to lower CAC and lift incrementality.
OUTCOMES
Why AI Agent paid playbooks differ from standard SaaS
AI Agents have a longer decision path than a typical SaaS. A buyer needs to grasp both “what can this Agent actually do for me” and “what will it do with my data.” That rules out one-click cold conversion. Trust has to be layered across cold / warm / hot audiences, and every creative is tuned to the specific objection of its layer instead of a single pitch repeated to everyone.
Cross-channel attribution is the other big one. AI Agent buyers often see a Reddit thread, read a Google comparison, and sign up via a LinkedIn ad. Last-click alone would push you to over-invest in LinkedIn while ignoring the upstream ignition. We model cross-channel contribution so budget follows incrementality, not last-touch.
What we won’t do
- No campaigns without working landing pages and event tracking — ads without data are just burn
- No fake traffic or follower purchases — only attributable real-human reach
- No headline CAC promises — we commit to iteration cadence and A/B pace; the number fluctuates with the market
- No locked-away accounts or creative — the ad accounts, audiences, and creative all belong to you
Pairs well with
Every ad dollar — tracked, attributed, optimized.
Cold, warm, and hot audience tiers — full-funnel from impression to LTV.
- Google, Meta, X, LinkedIn, and Reddit end to end.
- Creative engine plus weekly A/B-driven iteration.
- Cross-channel attribution to lower CAC and lift incremental conversion.