E-commerce · 5 years · math team
Five years of selling online taught us that good products rarely fail on quality — they fail on reach. We're a team of PhD mathematicians who read demand straight from Google search data, find where it's heating up, and aim a large-scale ad chain at exactly those hotspots.
The insight
In five years of e-commerce we kept seeing the same thing: shelves full of genuinely good products that almost nobody found. The product was never the problem — reaching enough people was. So we treat advertising as a math problem: where is the demand, when does it peak, and how do we reach it at scale?
How the partnership works
An ASIN, a listing or just a spec sheet. We pull price, margin, category and the whole keyword universe around it.
We pull search interest directly from Google for every keyword around your product, then run it through seasonality decomposition and z-score detection. The output: which hours, days and regions are running hotter than normal.
Hotspots become targeting. Your product goes out across search, short video, feed, stories and retargeting at the same time — timed to the hours demand peaks, with budget moved every day toward what converts.
More buyers land on your listing at the moment they're already searching. You get one weekly report: units, ad spend and return — no black box.
Illustrative curve showing the shape we aim for — not a client result.
What buyers actually see
One product, many formats, launched together. These mockups show how the same item is packaged for each placement — your real brand and creatives replace “yourbrand”.
The steel bottle that doesn't sweat on your desk. 750 ml.
Shop now3,204 likes
yourbrand Ice at 9 a.m. Still ice at 9 p.m. 750 ml of double-wall steel.
Sponsored
Double-wall vacuum steel, leak-proof lid, fits every cup holder. Ships in 24 h, 30-day returns.
Sponsored products
Illustrative mockups · platform names and logos intentionally omitted · all counts are placeholders
Why a math team
Most ad agencies guess, then report. We estimate, test and update. Three ideas do most of the work.
Search interest is split into trend, weekly and yearly seasonality, and noise — so budget lands on real peaks, not on last week's random spike.
An hour, day or region only counts as a hotspot when its demand sits more than two standard deviations above its own baseline.
Each channel's conversion rate is a probability distribution that updates with every sale. Spend shifts toward what converts, every day.
Sourcing, listing, pricing and moving real inventory — we know what a sale costs because we've paid for them.
The team
We studied mathematics at MIPT — the Moscow Institute of Physics and Technology, then moved to the US for our PhDs. Along the way we spent five years selling online. Put the two together and you get a partner who reads your market like a dataset and sells like a seasoned merchant.
Start with one product