About The System
Turn messy marketplace data into faster, higher-conviction growth decisions.
Marketplace Studio helps operators decide where the next dollar, the next hour, and the next inventory commitment should go. It turns raw channel inputs into one ranked, profit-first decision system your team can act on quickly.
The payoff is simple: fewer bad bets, faster alignment, better use of working capital, and more confidence when you decide what to fund, fix, test, harvest, or stop backing.
Core Promise
Point more capital at the products that can actually win and cut low-signal debate fast.
Primary Outcome
Faster alignment, fewer expensive mistakes, and a capital plan the team can defend in one meeting.
Orientation
Start here to understand the leverage. Use the Operator Guide when you want to run the process end to end.
Workflow
The operator loop from workbook to funded plan
1. Ingest the workbook
Load a structured workbook with catalog, economics, competition, and qualitative evidence. The app rejects broken headers, referential mismatches, and impossible values before any scoring happens.
2. Normalize to the real decision unit
The system converts spreadsheet rows into product families and offer variants. A family is the strategic funding object. A variant is the channel, pack, fulfillment, and offer combination being evaluated.
3. Gate, score, and bucket
Each variant passes through hard gates first. Then the system calculates current and post-fix investability, confidence, P(win), and the family bucket.
4. Allocate capital and review deltas
The app turns winning families into a capital plan for media and inventory, then compares future plans against the approved baseline so changes are explicit.
Feature Map
How each surface helps you move faster and decide better
Portfolio Overview
See where capital should go, where risk is hiding, and which product families deserve immediate operator attention.
Best for replacing spreadsheet debate with one ranked view the team can align around in minutes.
Workbook Intake
Catch broken joins, impossible economics, and weak source data before they waste analyst time or distort the model.
Best for turning workbook cleanup from a recurring fire drill into a fast gate at the front of the process.
Decision History
See how recommendations changed, what caused the shift, and whether the new call is actually stronger.
Best for defending decisions, learning faster, and avoiding the same argument every month.
Capital Plan
Turn analysis into concrete media and inventory moves, compare against the baseline, and export a plan the team can execute.
Best for moving from analysis to action without losing the logic behind the spend.
Scoring Model
Tune the decision engine without rewriting history or undermining trust in prior runs.
Best for improving the model over time while keeping every recommendation auditable.
Issue Inbox
Review product feedback, runtime failures, and missing-feature reports with route context and sink references already attached.
Best for turning live product friction into a clean operating queue instead of losing it in chat threads and screenshots.
Operator Guide
Get the exact files, run order, and acceptance checks needed to launch a clean pilot or onboard a new operator fast.
Best for getting a new team member productive quickly without tribal knowledge.
Advertising
Operator previewA signed-in operator preview for finding the spend level that actually maximizes profit, redirecting budget faster, and proving which media changes created real lift.
Best for operators who want advertising to behave like a disciplined profit engine instead of a noisy reporting loop.
Inventory
Operator previewA signed-in operator preview for forecasting demand with more confidence, reducing stockout risk, and freeing cash from the wrong inventory bets.
Best for operators who want replenishment decisions tied to demand confidence, margin reality, and channel plans.
Retail
Operator previewA signed-in retail operator preview for making sharper assortment and distribution calls before the buyer-facing story gets built.
Best for teams that want one credible range view before they invest time in retailer narratives, decks, and account packets.
Pricing
PlannedA planned pricing workspace for spotting margin leaks, competitive windows, and better timing before the market moves against you.
Best for operators who want pricing decisions tied to contribution guardrails instead of reactive discounting.
Methodology
How the recommendations are actually produced
Hard Gates
Hard Gates
No family should outrank reality. Gates stop weak offers early so bad economics, poor execution, or thin evidence do not sneak into a funding conversation.
Weighted Scoring
Weighted Scoring
The score rewards products that can grow profitably, defend their position, and justify more capital instead of just looking good in a single metric.
Confidence And Evidence
Confidence And Evidence
Observed data earns more trust than guesses. Confidence makes weak evidence visible so the team knows when to test, wait, or push harder.
Capital Allocation
Capital Allocation
This is not a vanity ranking. The system translates investability into media and inventory moves while protecting reserves and limiting concentration risk.
What goes in
- Catalog structure and product-family mapping
- Retail price, COGS, fees, ad spend, and contribution economics
- Review strength, delivery promise, keyword depth, and price competitiveness
- Repeat, attach-rate, line-extension, and brand-share evidence
What comes out
- Gate failures with blocker type and reason
- Current and post-fix family snapshots
- Recommended bucket: scale, fix, test, maintain, or exit
- Capital-plan allocations for media and inventory
Who this is for
- E-commerce operators making capital-allocation decisions
- Category, marketplace, and growth leaders reviewing product bets
- Finance-minded teams that need P&L-aware prioritization, not just ROAS or revenue views
Example Decision
One product family through the system
Input
A hydration stick family shows healthy gross margin, strong repeat behavior, solid delivery promise, and clear bundle potential. Review count is still below the strongest competitor set.
Diagnosis
The family passes current economics and supply gates, but merchandising and review depth are still suppressing conversion efficiency. The blocker is fixable, not structural.
Recommendation
The family is classified as Fix Then Scale. The model expects it to clear the scale threshold after content upgrades, review growth, and bundle launch.
Action
Fund the fix plan first, protect inventory, then step up media only after the family shows stronger conversion, profitable budget absorption, and improved P(win).
FAQ
Questions a first-time operator usually asks
Is this a dashboard or a decision engine?
It is a decision engine first. The visuals exist to help you move faster, not admire metrics. The real job is turning messy inputs into defendable funding calls.
What is the core decision unit?
The strategic unit is the product family. Each family can contain multiple offer variants by channel, pack architecture, fulfillment path, and offer reference.
Why do gates exist before scores?
Because a strong weighted score should not hide a structural failure. If an offer cannot compete profitably, cannot execute, or lacks evidence, it should not win more budget.
What is post-fix scoring for?
Post-fix scoring is for cases where the blocker is fixable and the operator can articulate the fix, cost, time, and expected result. It prevents good products with one obvious defect from being incorrectly buried.
Why separate media and inventory budgets?
Because they are different capital pools with different risk, timing, and constraints. A product can deserve more media but not more inventory, or the reverse.
Can this replace operator judgment?
No. It sharpens judgment. The system makes assumptions, blockers, and tradeoffs explicit so you can move faster with more signal and less noise.
Glossary
Terms the rest of the app uses repeatedly
Product Family
The parent strategic product concept being considered for funding. This is the main unit of prioritization.
Offer Variant
A family expressed as a specific marketplace offer, defined by channel, pack architecture, fulfillment path, and offer reference.
Hard Gate
A pass-fail rule that can block a variant before weighted scoring is considered.
Blocker Type
The classification attached to a failed gate or issue: structural, fixable, or unproven.
P(win)
The modeled probability that an offer can win on click, conversion, and competitive position once it is in market.
Confidence
A multiplier representing how much evidence supports the recommendation. Observed data produces higher confidence than assumed data.
Allocation Index
The risk-adjusted investability output used to rank fundable families after gates, scoring, confidence, and capital-at-risk are considered.
Approved Baseline
The current accepted capital plan used as the comparison point for future reallocations and deltas.