Real data & methodology
An AI marketing tool is only as trustworthy as the data and discipline behind it. Here is exactly how Tractn keeps its output accurate, on-brand, and grounded in reality, the things that matter more than feature count.
SEO and competitor intelligence run on live keyword volumes, difficulty scores and SERP data, pulled from a real search-data provider, not guessed by a language model. When Tractn tells you a keyword is worth targeting, that number is measured.
Every figure in attribution and paid optimization (CPA, revenue per channel, wasted spend, LTV:CAC) is computed in code from your actual data. The AI only writes the narrative around them. It cannot invent a metric.
Before any plan reaches you, a Challenger agent attacks it for weak logic and gaps, and a Fixer agent rewrites it. You review work that has already passed its own toughest critic, not a raw first draft.
Every agent loads your Brand Brain (voice, audience, positioning) before it acts. Output sounds like you, every time, instead of generic AI. Brand context is never lost between tasks.
Attribution distributes revenue across each customer’s full journey using five models (first, last, linear, time-decay and position-based) so you see which channel opened and which closed, not just the last click.
Analytics syncs directly from the platforms (impressions, engagement, conversions, spend) through their own APIs. No manual exports, no stale screenshots, no guesswork.
Real inputs
Live search data + direct platform APIs feed every agent.
Deterministic math
Metrics computed in code; the model never sets a number.
Reviewed by AI, then you
The Challenger/Fixer loop catches weak work before you see it.
Connect your channels and watch Tractn ground every recommendation in your real numbers. Start free, no card required.
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