Isotunes.com turned 1.2 million sessions into $1.8M so far this year, and 99 of every 100 visits left without buying. 83% are on a phone, and most see one screen before they go. We use AI to build and test better pages against the ones you run today, so more of the traffic you already pay for buys.
Four signals from your scorecard and a recent session snapshot point at the same thing: visits arrive, and the page they land on does not do enough to turn them into orders. Each one is a lever we can move.
83% of sessions are mobile, 92% counting tablets, and only 8% are desktop. If a page wins on a laptop and stumbles on a phone, it is losing where the traffic actually is.
Average scroll depth is 22% and visitors view about 1.5 pages a session. Your offer, proof, and comparison live below the fold, where most people never reach.
Your paid traffic runs on Meta, YouTube, and AppLovin, and your homepage is the single most-visited landing page. The ad makes a promise the page it lands on does not keep. 5.2% of sessions bounce straight back.
8.4% of sessions throw a JavaScript error. That is technical drag on traffic you already paid to acquire, and it is invisible unless someone is watching for it.
Before we build, we walk the path from the ad to the buy button and mark every place it leaks. These are the levers we attack, in the order they cost you orders.
Each lane targets a gap above, and each build runs against a control, which is what happens today. If it does not beat the control, it does not stay. AI is why we can build and ship far more of these than a human team, so winners show up in weeks.
We take a winning Meta, YouTube, or AppLovin ad and build two congruent pages, a listicle and a quiz, that keep its exact promise, mobile-first, offer above the fold.
We rebuild a core product page from scratch as a mobile-first challenger and put it head to head with the one you run.
No six-month discovery. Measurement goes in first, then the highest-leverage builds, each pointed at a gap from your own data. First pages live within a couple of weeks.
Every page enters the same cycle. Losers are cut fast, winners are scaled and become the new control to beat. The site gets sharper every month instead of going stale between big redesigns.
The control is what happens today. Every build is measured against it, by a true A/B split where traffic allows or an ad-to-page comparison where it does not. This is the view you take to the board.
| Experiment | Control CR | Variant CR | Lift | Incremental rev | Status |
|---|---|---|---|---|---|
| Listicle → LINK 2.0lane 1 · vs ad→homepage | 1.09% | 1.38% | +27% | +$6,800 | winner · scaling |
| Challenger PDP · LINK 2.0lane 2 · vs current PDP | 1.30% | 1.49% | +15% | +$7,200 | winner · scaling |
| Quiz → fit finderlane 1 · vs ad→homepage | 1.09% | 1.16% | +6% | tracking | running · wk 2 |
| Listicle · 5 reasonslane 1 · vs ad→homepage | 1.09% | 0.94% | -14% | — | killed · wk 1 |
Lane 1 turns a winning ad into the page that keeps its promise. Lane 2 rebuilds the pages your traffic already lands on. Same goal, measured the same way.
No open retainer of hours. A set list of pages, tests, and reporting that shows up every month.
Winners scaled, losers cut. We manage what stays live so traffic keeps flowing to the best-performing page.
We will not promise a percentage. What we can show is the leverage. On about $3.4M of annual website revenue, at a 1.09% conversion rate, a point of conversion is real money, and the engine covers its own cost at a lift well inside reach.
On about $3.4M in annual website revenue, the engine covers its $72k annual cost at about a 2.1% conversion lift. Below that it has already paid for itself. Everything above is upside we pursue test by test.
Not priced on performance, not billed per page. You buy the engine and the measurement at a fixed monthly rate.
Model, API, and tool usage run on your own accounts at cost, not marked up. As the engine proves out, we can add test velocity at a review. The default is to hold.
Nothing customer-facing goes live without your sign-off. The engine runs on your accounts, and everything it does is logged and reversible.
This engagement is the revenue-tied, measurable first step: prove AI moves conversion, on a control, in dollars. Once the engine is working, the same approach extends inward to the broader AI build-out across ISOtunes. The number that moves revenue gets approved now; the wider rollout follows the proof.
We wire up the scoreboard, define the control, and ship the first congruent pages against live traffic. You see the first readout the month after.
Start the engine →