The right start portfolio — how many SKUs, at what prices, in which categories.

A new seller usually picks one SKU, treats it as the entire business, and discovers six months in that they bet the launch on a category they didn't yet understand. Portfolio thinking from day one eliminates that single point of failure. This episode is about the shape of that portfolio — how many SKUs, at which price points, in which categories, in which sequence.

Why not a single SKU

A one-SKU launch is a bet that you've correctly read demand, competition and your advantage on the first try, in a category you don't yet have feedback from. The base rate on that bet is poor. Worse, a single SKU gives you no comparative data: when the launch struggles, you can't tell whether the product is wrong, the listing is wrong, the bids are wrong or the category is wrong. With three SKUs you can see which variable moves.

Why not twenty SKUs either

The opposite mistake is launching a wide catalogue assuming volume averages out. It doesn't. Each SKU on Amazon requires its own keyword research, its own listing copy, its own image set, its own ad campaigns, and its own review-collection effort. Twenty SKUs at launch means each gets a twentieth of the operator's attention and none reach the review and rank thresholds that make the algorithm push them. Eighteen die quietly, two limp along, the math doesn't work.

The three-to-five-SKU starter portfolio

Three to five SKUs is the band where comparative learning happens but each SKU still gets enough operator attention. Within that band, three rules:

• Price-point spread. One low (under €15), one mid (€20–€40), one premium (€50+). Each price point teaches different lessons about ad CPC, conversion sensitivity and the kind of shopper Amazon routes to your listing.
• Category proximity. All SKUs in the same broad category, ideally sharing browse nodes. Operational cost of managing the portfolio drops sharply when one category's nuances apply to every SKU.
• Independent triad scores. Each SKU must clear the Episode-02 triad on its own merits. The portfolio is a risk-management structure, not an excuse for weak candidates to ride on stronger ones.

Launch sequencing

Stagger the launches by four to six weeks. The first SKU teaches you the category's true CPC, the conversion rate your listing actually achieves, the review velocity Amazon expects, and the seasonality you didn't see in the data. The second SKU launches with those lessons baked in. By the third, your launch playbook is calibrated. Launching all three on the same day wastes the most expensive learning of the whole portfolio.

What the portfolio is teaching you for

The starter portfolio's job is not just revenue. It's information. By the end of the first six months you should know, with measured numbers from your own SKUs: which price point in this category is most defensible, which keyword cluster converts hardest, which ad type pays back fastest, where review collection is hardest, and which SKU has the headroom to become the spotlight product Episode 09 describes. That information decides what gets reinvested into expansion and what gets quietly wound down.