Vendor Central's built-in analytics are a frustrating mess. The data exists—it's just fragmented across multiple reports, delayed, and missing the context you need to act on it. Most brands either underuse the data or waste hours reconciling spreadsheets every week.
This is the shortlist of metrics that actually matter, what they mean, and how to read them without losing your mind.
Vendor Central shows two revenue lines: ordered revenue and shipped revenue. They are not interchangeable, and confusing them is one of the most common mistakes brands make.
The gap between them is your fulfillment problem. If ordered revenue is $200,000 and shipped revenue is $160,000, Amazon ordered product you couldn't deliver—that's a 20% shortfall. Amazon notices. They'll deprioritize your listings in search, reduce PO frequency, and in some cases begin charging chargebacks.
How to use it: Track the shipped/ordered ratio weekly. If it drops below 95%, dig into which SKUs are underperforming and why—manufacturing delays, min order quantity constraints, or lead time mismatches. Sustained ratios above 98% build vendor scorecard trust, which influences your promotional eligibility and replenishment behavior.
The other thing shipped revenue unlocks: actual recognized revenue. If you're reporting business performance or comparing to your ad spend, use shipped revenue, not ordered. Ordered revenue is a demand signal; shipped is your P&L line.
Fill rate is your shipped units divided by ordered units at the line-item level. It's the most granular version of the shipped/ordered story.
A low fill rate on a specific ASIN tells you exactly where your supply chain broke. More importantly, stockouts from low fill rate directly damage your organic ranking—Amazon's algorithm treats inventory availability as a ranking factor. A product that goes out of stock loses momentum it may take months to rebuild.
Benchmark: Most categories expect >97% fill rate. Drop below 95% consistently and you'll see it reflected in your PO frequency—Amazon starts ordering less because it expects you to deliver less.
Track fill rate by SKU, not just at the account level. An account-level 96% fill rate can hide a single hero ASIN at 85% that's quietly destroying your velocity.
Net Pure Product Margin (Net PPM) is Amazon's view of how profitable your products are for them to sell. If you want to understand your own profitability picture, track Amazon contribution margin (CM1, CM2, CM3)—the seller-side equivalent that accounts for COGS, FBA fees, and ad spend. The formula for Net PPM is roughly:
Net PPM = (Gross Profit − Vendor Allowances − Damage Allowances − Co-op) ÷ Net SalesThis is the number Amazon's category managers use when they're deciding whether to keep carrying your products, whether to expand your assortment, or whether to initiate a cost negotiation.
Low Net PPM doesn't just mean low margins for Amazon—it signals that your products are economically difficult to carry. Products with persistently low or negative Net PPM are at risk of being discontinued or having their PO frequency cut.
What to do with it: Review Net PPM by ASIN quarterly. If specific SKUs are pulling down your overall number, decide whether the volume justifies the relationship, or whether a price increase or cost reduction is necessary. Going into a vendor negotiation with Net PPM data in hand is table stakes.
Amazon calculates how fast your inventory moves at their fulfillment centers. Slow-moving inventory creates a problem for both parties: Amazon is holding your stock, you're not seeing replenishment orders, and aging inventory attracts storage fees and potential liquidation.
Track your weeks-of-supply figures inside Vendor Central's Inventory Health report. Anything over 16 weeks of cover on a single ASIN is a signal to investigate—either the product is slowing down, Amazon over-ordered, or a competitor entered and is taking share.
The stockout side of the equation is equally dangerous. When weeks-of-supply drops below 2, you're at stockout risk. Amazon won't always reorder fast enough if your lead time is 4-6 weeks. Building safety stock thresholds into your production planning based on sell-through rate is the only reliable way to avoid this.
Vendor Central's Retail Analytics includes glance views (product page views) and detail page sales (units sold). The ratio between them is your effective conversion rate.
Conversion Rate = Detail Page Sales ÷ Glance Views × 100A product getting 10,000 glance views and selling 80 units is converting at 0.8%—which is poor for most categories. The issue could be price, images, reviews, or a competitor appearing in the "compare with similar items" section. A product with 10,000 views and 800 units sold is converting at 8%—strong organic performance.
Use conversion data alongside your ad data. If you're running heavy Sponsored Products spend to drive traffic to a page with poor conversion, you're paying to send people to a listing that doesn't close. Fix the listing before scaling the ads.
Vendor Central gives you all of these data points—but in separate reports, on separate pages, with different lag times. Ordered revenue updates daily; some performance reports lag by two weeks. There's no single dashboard that shows you fill rate, Net PPM, inventory health, and ad performance side by side.
The result is that most vendor analytics work happens in Excel, stitched together manually, usually weekly at best.
Calbridge pulls Vendor Central and Seller Central data into a unified dashboard alongside your SP, SB, SD, and DSP campaign data. Shipped revenue, fill rate, inventory health, and advertising metrics are all in one place—updated automatically, no spreadsheets required. It's built by people who've managed $500k+/month in vendor accounts and know exactly which data you need without having to dig.
If you're currently reconciling this data manually, the first time you see it all on one screen will feel like getting a few hours of your week back.
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