Find out whether growth is creating value
A consumer goods brand can report rising sales while losing shoppers, market share or profit. Price increases may conceal declining volumes. A new retailer may generate impressive revenue but require expensive promotions. A smaller pack can make a product more affordable while raising its price per unit of weight.
Quick Prep’s consumer packaged goods primer teaches you to separate those effects. The core interview skill is connecting consumer behaviour, retailer decisions and the manufacturer’s economics. It is useful for pricing, growth, market-entry and profitability cases.
Public reporting illustrates why this distinction matters. P&G reports sales movements using measures that separate the effects of volume, pricing and other factors, alongside organic sales. Read the definitions before comparing companies: an adjusted growth measure is not necessarily the same as reported revenue growth. P&G: 2025 Annual Report
Understand who buys, who chooses and who pays
Consumer packaged goods include frequently purchased food, beverages, household products and personal-care items. The end consumer may choose the brand, while a retailer or distributor decides whether it receives shelf space and how much inventory to carry.
Map the chain from ingredients and packaging through manufacturing, logistics, wholesale, retail and consumption. If the client is a manufacturer, the shelf price is not automatically its revenue. Retailer margins, rebates, promotional allowances, returns and distribution fees may sit between the consumer’s payment and the manufacturer’s net sales.
Buying behaviour varies by category. A habitual household staple, a seasonal gift and a premium skincare product have different purchase frequencies, switching costs and promotional responses. Define the category and target shopper before discussing a brand strategy.
Build a revenue and contribution bridge
One useful retail sales model is:
Units sold = active stores × units sold per store per week × weeks.
For multiple products or channels, calculate each segment separately. This distinguishes distribution growth from sales velocity. A product can enter many more stores while performing poorly at each location.
Next connect units to realised manufacturer price and contribution. Analyse changes in list price, discounts, pack size, retailer mix and product mix. When explaining growth, avoid treating price and volume changes as simply additive when an exact calculation is available: a 10% price increase and 10% volume decline result in revenue at 99% of the original level.
Supply matters too. Lost shelf availability can reduce sales without indicating weaker demand. Ask about stockouts, order fill rates and production constraints before cutting a product or increasing advertising.
| Measure | What it helps explain |
|---|---|
| Sales velocity | Consumer demand within the distribution footprint |
| Numeric distribution | Share of relevant outlets stocking the product |
| Weighted distribution | Presence in outlets weighted by a relevant sales measure |
| Net revenue per unit | Realised price after applicable deductions |
| Contribution per unit | Revenue remaining after relevant variable costs |
| Promotional incrementality | Sales or contribution that would not otherwise occur |
Worked exercise: is a promotion profitable?
Illustrative interview exercise with fictional figures.
A brand normally sells 100,000 units during a four-week period. Its net revenue is 3.00 per unit, variable cost is 1.80 and contribution is therefore 1.20 per unit. Baseline contribution is 120,000.
A proposed promotion reduces the brand’s net revenue to 2.70 per unit and is expected to raise volume to 130,000 units. Assume variable cost remains 1.80 and there are no additional fixed campaign costs.
Promotional contribution becomes 130,000 × 0.90 = 117,000. Volume rises 30%, but contribution falls 3,000. To preserve baseline contribution, the promotion must sell approximately 133,334 units, before allowing for any campaign cost.
The next questions determine whether even that threshold is sufficient. Did shoppers buy earlier than usual? Did the promoted product take sales from another product in the same portfolio? Will the promotion generate repeat purchases? Were the extra units actually sold to consumers or merely shipped to retailers?
A stronger recommendation would test the offer in comparable stores, measure the post-promotion period and assess incremental portfolio contribution. A sales spike alone is incomplete evidence.
Case situations to practise
A new product launch: Estimate trial, repeat purchase and distribution separately. Test whether the product solves a distinct consumer need or mainly transfers sales from the existing range.
A private-label challenge: Compare price gaps, perceived quality, availability and brand loyalty. Identify the consumer segments where the brand has a defensible reason to command a premium.
A channel expansion: Build separate economics for supermarkets, convenience stores, marketplaces and direct sales. Account for fulfilment, returns, marketing and retailer terms.
A portfolio simplification: Examine product contribution and operational complexity. A low-volume item may still help win a valuable retail account, so check consequences beyond its standalone margin.
Turn brand intuition into evidence
Prepare a short category brief using a retailer’s product range and a manufacturer’s public results. Compare pack sizes, prices per standard unit, positioning and channels. Label observations separately from assumptions about consumer preferences.
In your recommendation, name the target consumer, the commercial action and the metric that would demonstrate success. Connect Market Analysis with Finance Modeling to practise making growth decisions that survive a contribution calculation.
