Optimal Profit PRO

What it does

Instead of reacting to a single signal (lowest price, Buy Box, or FOEP), Optimal Profit picks the price that maximizes your expected profit per day across your allowed price band:

price* = argmax P(win Buy Box | price) × margin(price) × demand(price)

P(win Buy Box): your learned win-probability curve (how often you hold the Buy Box at each price). Falls back to an estimate around Amazon's Featured Offer price / Buy Box when there isn't enough history yet.
margin(price): the price minus your total cost and the referral fee, recomputed for every candidate price.
demand(price): how unit sales respond to price (price elasticity), once enough sales data exists.

When to use it

You have a few weeks of repricing history, so the learned curves are reliable
You want the engine to balance win rate, margin, and volume automatically
You'd rather optimize total profit than chase any single metric

When NOT to use it

The product is brand new with little sales/Buy-Box history (start with Buy Box Targeting until data accumulates)
You want simple, predictable rule-based behavior (use a Basic strategy)

How it works

Clamps the search to your band: never below your floor (cost + minimum profit) and never above your ceiling or Amazon's competitive price threshold.
Scans prices across that band and scores each one by expected profit per day (win probability × margin × demand).
Picks the highest-scoring price, and holds when the best price is essentially where you already are (anti-oscillation).

The floor and ceiling are always re-enforced before any price is sent to Amazon, so Optimal Profit can never price below your minimum margin.

Settings

No strategy-specific knobs — Optimal Profit uses your Min/Max margin (floor & ceiling) plus the learned win-probability and demand signals. Set a sensible minimum profit and let it optimize within the band.

Buy Box Targeting — win the Buy Box, then raise gradually
Profit Maximizer — minimal undercut, aggressive raise
Floor & Ceiling Prices