Forecast Amazon unit sales
with more confidenceA free Excel-based forecasting app for brands and agencies that need a practical, math-driven view of Amazon unit demand.
18β25 mos.
historical units + ad spend
4 charts
plus year-in-view tables
5 min
quick-start setup
95% CI
confidence bands included
Proof it works
See how brands and agencies use the model to make better inventory, planning, and budget decisions.
A brand finalizing FBA purchase orders 90 days out loaded 21 months of historical unit sales and ad spend into the model. The forecast gave them a grounded monthly order target for peak season. They entered October right-sized, avoided a stockout, and sidestepped the post-holiday storage fee spike they had dealt with the year before.
YoY units, zero stockouts
A consumables brand replenishing off prior-year velocity was leaving growth on the table. After running the forecast, they saw Q2 units projected to outpace the prior year by more than 20%. They increased their inbound order before the lead-time window closed.
reactive budget cut
A brand's August units came in below internal plan. Before cutting budget, they ran the forecast and found the result still fell within the model's expected range. The dip was seasonal, not structural. Instead of reacting with a spend cut, the team held course and saw the September rebound the model had already projected.
annual plan built on data
A brand building its annual operating plan needed a unit baseline before setting ad budgets. They used the model's regression output as the foundation for a top-down forecast, then mapped monthly unit projections to individual ASINs. The result was a budget allocation methodology their finance team could follow and pressure-test.
Plug in 18 to 25 months of unit sales and ad spend and generate a forecast in minutes.
Forecast curves, coefficients, confidence intervals, and variance views that help surface outliers.
Includes sample data and a quick-start guide so you can get up and running fast. MixShift customers and qualified demo sign-ups can also request a walkthrough on one brand.
Book a short consult and we'll walk through the model using your brand's data. If you need more precision, we can also build a custom ASIN-level unit forecast. The free version will get you moving today.

Getting the forecast right is step one.
Understanding why you beat or missed it is step two.
That's why we're building Report Center 2.0 to make reporting smarter and answer the βwhat changed?β question before you even have to ask it.
If you found this Shift useful, it's a good preview of where we're heading next.