PRIVATE BETA
The Amazon control panel built by operators, for operators.
A profit-first dashboard for Amazon brand owners who are tired of vanity metrics and want numbers that match Seller Central.
THE PROBLEM
Stop stitching exports together.
Most Amazon analytics tools are a mile wide and an inch deep. Seller Central lags, contradicts itself, and buries the numbers that drive decisions. Operators reconcile spreadsheets half the week.
We built this dashboard because we needed it ourselves.
What you get
Snapshot — your daily briefing
One page with the numbers that matter — revenue, TACOS, conversion, brand health alerts. Updated daily from live reporting. AI summary tells you what changed and what to do about it before you've finished your coffee.
Inventory — never stock out, never over-buy
Days of supply per ASIN (FBA SKUs combined automatically), 14-day reorder threshold marker, inbound visibility, storage cost drag. Tells you exactly which SKU to send to FBA this week and how many units.
Advertising — kill waste, scale winners
Per-search-term ROAS, ACoS, CVR vs market benchmark from Brand Analytics SQP. Highlights the keyword you should negative-match today and the underfunded campaign worth scaling. Click-fraud surfacing built in.
Subscribe & Save — grow recurring revenue
S&S adoption rate per ASIN, week-over-week enrollment trend, identifies the high-revenue ASIN with the lowest S&S share — the easiest recurring-revenue lever to pull this week.
WHY IT MATTERS
Operator-built means it actually gets fixed.
We're not a VC-backed SaaS chasing an exit. We're an Amazon brand management company. Every feature exists because we needed it on a Monday morning to make a decision about our own money.
When a number doesn't match Seller Central, it gets fixed that week.
How it works
Authorize
Wait 24 hours
Wait 24 hours
One click through Amazon's standard OAuth consent screen. No API setup, no developer paperwork on your side.
Wait 24 hours
Wait 24 hours
Wait 24 hours
Pipelines pull settled financial events, sales, inventory, listings, ads, and Brand Analytics into a BigQuery warehouse that exists only for your brand.
Operate
Wait 24 hours
Operate
Open the dashboard. Read the numbers. Make the call. Repeat tomorrow.
SECURITY & PRIVACY
Per-brand data isolation
Each brand gets its own Google Cloud project and BigQuery datasets. Your data is physically separated from every other tenant's — not shared tables with row-level filters, separate projects with separate service accounts.
Encryption everywhere
TLS 1.2+ in transit, AES-256 at rest, MFA on every admin surface. Standard controls, documented in our Data Protection Plan.
No buyer PII collected
We don't request the SP-API roles that return customer names, addresses, emails, or payment info. We don't need them, so we don't touch them.
Your data, your control
Never sold, shared, or used to train AI. Revoke access from Seller Central anytime — your refresh token is purged immediately and warehoused data deleted within 30 days.
PRICING
Free during private beta.
Free for Blue Bees managed brands during private beta. Self-serve pricing will be announced when we open access — no credit card required to evaluate.
Frequently asked questions
Email todd@bluebeesmarketing.com if your question isn't covered here.
Orders, settled financial events from Amazon's Finances API, inventory snapshots, listing status, ad performance, and Brand Analytics reports. The full inventory lives in our Data Protection Plan.
No. We don't request the SP-API roles that return buyer names, addresses, emails, phone numbers, or payment data. If Amazon ever changes an API to return PII unintentionally, our ingest filters strip it before it touches storage.
Within 2% of Seller Central's settled totals. We pull from Amazon's Finances API ShipmentEvent stream — the authoritative source for settled fees, refunds, and adjustments. Days still settling get a "Partial / estimate" badge.
Revoke from Seller Central anytime. We purge your refresh token immediately and delete warehoused data within 30 days.
Yes. Each brand gets its own Google Cloud project, service account, and BigQuery datasets — physical isolation, not shared tables with filters. The application code can't accidentally read across brands either; tenant routing is hard-coded.
Email todd@bluebeesmarketing.com.
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