Use channel growth as context, then approve products on customer fit, repeat use, and realistic contribution economics.
The source context
The US Census Bureau reported $340.2 billion in seasonally adjusted retail e-commerce sales for Q2 2026, up 12.2% year over year. These figures are not adjusted for price changes and cover retail broadly, not supplements specifically. Source ↗
PCG perspective · The following is our proposed development framework, not a finding of the cited source.
Do not turn a channel statistic into a product forecast
A growing channel can contain struggling categories and unprofitable brands. Use broad retail data to frame the environment, then build a product-level case from your own customers, competitors, unit economics, and operating constraints. A forecast should state what you expect to sell, to whom, at what realized price, and with what acquisition and fulfillment costs. The macro number cannot supply those answers.
Model the product as a system
Include packaging, freight, discounts, returns, creator commissions, and customer service when comparing concepts. A compact format may have different shipping economics from a heavy liquid. A multi-serving package may change the trial barrier and the replenishment interval. These are development choices with commercial consequences. Make the assumptions visible early enough that formulation and packaging teams can still respond.
Protect the role of each SKU
Give every product a job: an entry point, a repeat purchase, a complementary offer, or a focused response to an unmet need. Two products that compete for the same customer and occasion need a clear rationale. Otherwise, a wider range can add inventory and explanation costs without expanding demand. Review the portfolio from the customer’s perspective rather than only from the organization’s category structure.
Use three scenarios before approval
Build a conservative, base, and upside case using different conversion, reorder, and cost assumptions. Identify which variable creates the largest swing in cash requirements. Then test that variable first. The purpose is not to generate an impressive spreadsheet; it is to avoid approving an attractive product whose economics depend on every assumption being favorable at once.
Source & scope
US Census Bureau: Q2 2026 retail e-commerce ↗August 18, 2026 release; US retail. Sources checked September 21, 2026. Product-specific scientific and regulatory conclusions require appropriate specialist review.
How we prepare and update insightsTurn the question into a development brief.
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