Performance Metrics Definitions

Your share of revenue in the category or subcategory.

Formula: (Your brand’s revenue ÷ Total category revenue) × 100
Why it matters: The headline measure of how strong your brand is in the market.

Your share of units sold.

Formula: (Units you sold ÷ Total category units sold) × 100
Why it matters: Shows shopper adoption. Useful for telling apart growth that comes from volume vs. growth that comes from price.

Overall SoV %

Your share of all impressions (organic plus sponsored).

Formula: (Your brand’s impressions ÷ Total category impressions) × 100
Why it matters: Tells you how visible your brand is. Directly affects awareness and traffic.

Organic SoV %

Your share of organic (unpaid) impressions.

Formula: (Your organic impressions ÷ Total organic impressions) × 100
Why it matters: Shows how discoverable your brand is without ad spend. A sign of long-term brand health.

Paid SoV %

Your share of sponsored (paid) impressions.

Formula: (Your sponsored impressions ÷ Total sponsored impressions) × 100
Why it matters: Shows how well your ads are competing for visibility.

Branded Search %

The share of searches that include your brand name.

Formula: (Branded search volume ÷ Total search volume) × 100
Why it matters: A sign of brand strength and shopper intent. Branded searches usually convert better.

Weighted Availability %

How available your SKUs are, weighted by how much they sell.

Formula: Σ(% stores available × SKU DRR) ÷ Σ(all SKU DRR)
Why it matters: Low availability means lost sales. Top-selling SKUs count for more, so this number is closer to revenue impact than a simple average.

RPI (Overall)

Your price compared to the market average.

Formula: (Average price of your SKUs ÷ Average market price) × 100
Why it matters: Tells you if you’re priced right. Too high and you lose volume. Too low and you lose margin.

RPI (by PPU)

Your price compared to the market, on a per-unit basis (per gram, per ml, per piece).

Formula: (Average PPU price of your SKUs ÷ Average PPU price of the market) × 100
Why it matters: The best price measure when SKUs come in many pack sizes, since absolute prices can be misleading.

Weighted Discount %

Your average discount, weighted by revenue.

Formula: Σ(Discount % × Revenue share of SKU) ÷ Total revenue
Why it matters: Shows how much margin you’re giving up in total. Top-selling SKUs influence this more than slow movers.

Avg. Rating

Your average customer rating, weighted by rating count.

Formula: Σ(Rating × Rating count) ÷ Σ(Rating count)
Why it matters: A strong driver of conversion, repeat purchase, and brand trust.

Avg. Content Score

Your average listing quality score, weighted by units sold.

Formula: Σ(Content score × Units sold) ÷ Σ(Units sold)
Why it matters: Better content means better discoverability, higher click-through, and better conversion. It also makes your ad spend more efficient.

Listing Status %

How many stores have your SKUs listed correctly.

Formula: (Stores listing your brand ÷ Stores listing the category) × 100
Why it matters: Wider listing means more reach and more revenue.

Fill Rate %

How well the channel is fulfilling your purchase orders.

Formula: (POs fulfilled ÷ POs raised) × 100
Why it matters: Low Fill Rate means stock-outs and risk of delisting. Note: this metric depends on your contract and may not be on for every channel.

Stock in Hand (Days)

How long your current stock will last at the current sales rate.

Formula: Stock units ÷ Daily Run Rate (DRR)
Why it matters: Low stock means lost sales. Too much stock ties up cash.

Category Contribution %

How much a subcategory contributes to its parent category.

Formula: (Subcategory revenue ÷ Total category revenue) × 100
Why it matters: Shows you which subcategories are pulling the category forward — useful for deciding where to invest.

Regional Contribution %

How much a region contributes to category revenue.

Formula: (Region revenue ÷ Total category revenue) × 100
Why it matters: Shows you which regions are leading and which are lagging — useful for setting regional strategy.

Feature Contribution %

How much a price tier contributes to its subcategory.

Formula: (Tier revenue ÷ Total subcategory revenue) × 100
Why it matters: Shows you which price tiers are driving or dragging performance — useful for portfolio decisions.