Most positioning is written from a workshop. Ours is written from evidence: what your competitors' funnels actually do, what your buyers say in their own words, which customer segments actually exist in your order data, and what's genuinely selling in your category right now.
Most persona documents were written from intuition, then never validated against a single real customer. Nobody knows how big any segment is, or whether it exists at all.
You can see what competitors advertise. What you can't see — and what actually matters — is the page it lands on and the offer stack behind it.
The language that converts is the language buyers already use. It's sitting in public forums and product reviews, and almost nobody mines it systematically.
Every one of these produces something you can point at and check. The rule we build to: numbers come from data, quotes come from real people, and nothing gets inferred quietly.
Give it a competitor and it maps their proven landing pages, tears down why each one converts, and captures the pre-purchase upsell stack — all the way to the edge of checkout. Every ad-spy tool stops at the creative. This one keeps going.
It never completes a purchase and only ever reads public storefront data. This is the same research a competent strategist would do by hand — done systematically instead of once.
Scrapes the public forums and review threads where your buyers actually talk, then ranks what comes up: pain points, desires, objections — with the verbatim quotes and a direct link back to every source.
The highest-converting hook is usually a sentence a customer already wrote. This finds those sentences instead of inventing new ones.
Clusters your actual buyers from real order data, infers a profile for each cluster, and attaches voice-of-customer from those same buyers' reviews. Personas with a size attached, not archetypes with a stock photo.
We built this after finding a client's six documented personas had been written from forum reading and never checked against a customer. Nobody knew how big any of them were, or whether they existed.
Tracks what's actually moving in your category across social commerce and short-form video — ranked by estimated revenue rather than by follower counts or vanity engagement.
Follower counts and view counts are easy to mistake for demand. Units sold isn't. This keeps product and creative decisions anchored to the commerce signal rather than the attention signal.
Public data has limits and we mark them. Revenue figures on marketplace leaderboards are estimates derived from public units and pricing — useful for ranking, not for accounting. Anything sourced from a model rather than measured is labelled as such in the output. You should always be able to tell which is which.
Competitor funnels, community threads, review data and your own order history, pulled into one evidence base.
Segments sized, objections ranked, angles derived — each one traceable back to the source it came from.
It leaves as a creative brief, a positioning decision or a landing page structure — not as a report nobody reads twice.
You pick the competitor and the community your buyers hang out in. We run both live and you leave with the analysis regardless of what happens next.
45 minutes. You keep the teardown either way.
Competitor ad intelligence, AI creative analytics, static and UGC video production, and bulk launch.
Explore →Local business scraping, B2B list building, and identifying the anonymous visitors your ads already paid for.
Explore →Research-driven articles, landing pages built from proven structures, and content that compounds while ads sprint.
Explore →We run the intelligence, turn it into positioning and creative decisions, and hand the evidence base off with the engagement.
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