Ecommerce operations videos

The featured explainer is What an ecommerce operations team does (V1-01). In about a minute and a half it covers the daily work behind a store that ads tools do not show: stock and inbound, order exceptions, listings, support, the 3PL and account health. It also shows what happens when nobody owns them.

Want the videos in teaching order? Watch by learning path in the Learning Center.

Where margin disappears in a growing store: fees, ad waste, returns, chargebacks and the operations costs nobody tracks.

• The 7 revenue leaks hiding in a growing store (C02E1)
• Ad waste and the ROAS trap: when good ads lose money (C02E2)
• Returns, chargebacks and fraud: the leak behind the leak (C02E3)
• Operations leakage: the costs nobody tracks (C02E4)

How Walmart Marketplace works in 2026: performance standards, pricing rules, WFS fees and selling to AI shoppers.

• Why Walmart Marketplace is the growth channel of 2026 (C05E1)
• Walmart's performance standards and pricing rules, explained (C05E2)
• WFS in 2026: fees, storage and when it is worth it (C05E3)
• Sparky and selling to AI shoppers on Walmart (C05E4)

For brands between $1M and $15M: what breaks as you grow, cash, adding channels and how mature your operations are.

• What breaks when an ecommerce brand grows from $1M to $10M (C07E1)
• Cash is the constraint: the cash conversion cycle, explained (C07E2)
• How to add a sales channel without breaking operations (C07E3)
• The operations maturity ladder: where is your brand? (C07E4)

Where shopping is heading: AI shopping agents, product data machines can read and new channels. Forecasts are labeled as forecasts, with their source.

• How AI shopping agents will change the way people buy (C08E1)
• Selling to machines: make your catalog readable by AI (C08E2)
• Social, live and retail media: where shopper attention is going (C08E3)
• Ecommerce in 2030: what the forecasts say, and 5 moves to make now (C08E4)

Each video is written by our operations team from the platforms' own rules and published sources, then voiced with AI and illustrated with fictional characters. They are explainers, not testimonials: nobody in them is a client or a member of staff, and no video shows a client result or makes a promise about sales. Every number on screen is listed on the watch page with its source, its type (primary, analyst or vendor) and the date we checked it. When a rule changes, the seller rule tracker logs it, and we re-check every video that mentions it; the watch page shows "Transcript checked" with the date. Our standards are in the editorial policy.