Amazon wholesale · 5 years · MIPT math team

The product was never the bottleneck. Reach is.

Five years of Amazon wholesale taught us that good products rarely fail on quality — they fail on reach. We're a team of MIPT 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.

low demandhotspot· live simulation — move your cursor to add demand

The insight

Good products get stuck in the neck of the bottle.

In five years of wholesale 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?

0buyers reached / sec
0sales stuck in the neck
Reach bottleneck · simulation● running

How the partnership works

From product sheet to sales curve in four steps.

  1. STEP 01

    You send us the product

    An ASIN, a listing or just a spec sheet. We pull price, margin, category and the whole keyword universe around it.

    • Listing or product sheet
    • Cost, price and stock
    • Any past ad data you have
    product-intake · example● scanning
    Category
    Kitchen › Drinkware
    Price band
    $24 – $32
    Unit margin
    38%
    Seed keywords
    214
    Seasonality
    Summer + Q4
    Competitors
    37 tracked
  2. STEP 02

    We map demand hotspots

    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.

    • Hour × weekday × region demand grid
    • Seasonal peaks separated from noise
    • Hotspots flagged at z > 2
    Demand index · weekday × hour · sample dataσ-flagged
    0 100 hotspot · z > 2
  3. STEP 03

    We fire the ad chain

    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.

    • 5 channels running in parallel
    • Creatives tuned to each hotspot
    • Daily budget reallocation
    Ad chain · signal flow● live
  4. STEP 04

    Your sales go up

    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.

    • Weekly units, spend and return
    • Which hotspot drove which sale
    • Next month's demand forecast
    Units sold per week · illustrative▲ trend

    Illustrative curve showing the shape we aim for — not a client result.

What buyers actually see

Your product, everywhere the hotspot scrolls.

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”.

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Search & shopping adsshown only when the query is inside a hotspot

Illustrative mockups · platform names and logos intentionally omitted · all counts are placeholders

Why a math team

Advertising, treated as an estimation problem.

Most ad agencies guess, then report. We estimate, test and update. Three ideas do most of the work.

yt = Tt + St + εt

Seasonality, separated

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.

z = (x − μ) ⁄ σ

Hotspots, not hunches

An hour, day or region only counts as a hotspot when its demand sits more than two standard deviations above its own baseline.

θk ~ Beta(αk, βk)

Budget that learns

Each channel's conversion rate is a probability distribution that updates with every sale. Spend shifts toward what converts, every day.

5 years of Amazon wholesale

Sourcing, listing, pricing and moving real inventory — we know what a sale costs because we've paid for them.

The team

Wholesalers who think in distributions.

We studied mathematics at MIPT — the Moscow Institute of Physics and Technology. Then we spent five years selling on Amazon. Put the two together and you get a partner who reads your market like a dataset and sells like a wholesaler.

Oleg PresnyakovFounder · Amazon wholesale since 2021
Andrey PerevozchikovStatistics & demand modelling · MIPT

Start with one product

Send us a product. We'll send back its demand map.

  • Demand heatmap by hour and weekday
  • Top hotspot regions and search terms
  • A proposed ad chain with budget split
Email [email protected]