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For ecommerce teams deciding what deserves spend

Know what to launch, price, stock, and fix next.

Exsel turns product ideas, client-entered data, merchant-visible signals, and market evidence into a saved Product-to-Profit Passport your team can review, copy, download, and apply manually.

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No direct store mutation Copy, download, manual apply Saved snapshot
Product-to-Profit Passport

Insulated travel mug

Representative output format. Real Passports come from the dashboard workflow.

82launch fit
DemandRisingmarket signal
Profit roomHealthyafter fees
RiskMediumsupplier + saturation
Channel fitTikTok + Amazonbest first route
Next actionPrepare manual launch pack with price guardrail and supplier check.
AmazonShopifyTikTok ShopMetaGoogle ShoppingWalmartEtsyeBayPinterestPOD

The customer output

One Passport. Every value the merchant needs.

The display can change by web app, mobile, desktop companion, browser extension, or API surface. The value set does not. Every Passport keeps the decision, numbers, evidence, and manual-use path together.

Demand signal
Profit room
Risk flags
Timing window
Best channel
Next action
Evidence
Saved snapshot

Workflow outcomes

Built around decisions merchants already make every week.

The underlying workflow matrix covers onboarding, product validation, platform fit, supplier economics, inventory forecasting, prompt packages, customer intelligence, channel packs, benchmark scoring, and assistant guidance. The public page sells those as business outcomes.

WorkflowBuyer questionPassport output
Product validationShould we launch this?Verdict, profit room, demand signal, risk, best channel
Platform selectionWhere should this sell first?Channel ranking, readiness gaps, manual launch checklist
Supplier and marginWill the economics survive?Landed-cost assumptions, MOQ risk, margin pressure, go/no-go
Inventory forecastHow much should we stock?Demand window, reorder timing, stockout risk, cash exposure
Listing prompt packWhat should the team apply?Platform-aware prompts, keyword pack, manual checklist
Customer intelligenceWhich customer group matters?Segment signal, retention risk, next best action, privacy boundary

How it is sold

Three customer-facing packages. One decision chain.

Buyers do not need the architecture diagram on the homepage. They need to know which package gets them from raw product uncertainty to a useful decision.

from $149/mo

Commerce Command

Connect the merchant-facing workflow surface and produce Product-to-Profit packages from client inputs, device-visible signals, and approved market data.

Best for: Sellers who want one decision path across products, channels, and manual handoff packages.

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from $199/mo

Forecast Intelligence

Turn product and market signals into demand, price, risk, profit, timing, and channel-fit forecasts with confidence context.

Best for: Teams deciding what to stock, launch, reorder, pause, or validate before spend.

Compare tiers
from $399/mo

Action Planner

Convert evidence into a reviewable action package: what to do, why it matters, what not to touch, and how to apply it manually.

Best for: Operators who need governed next steps without blind store or ad account mutations.

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Proof, not promise

Site projections use formulas and scenario bands.

Exsel should never publish a guaranteed signup, traffic, ROI, or payback number. The model starts with assumptions, shows low/base/high outputs, and updates when real funnel data exists.

Open calculator
Visitor-to-lead rateleads / visitors
Lead-to-customer ratecustomers / leads
MRRactive subscribers x average monthly fee
CAC(marketing spend + website costs) / new customers
LTVaverage monthly fee x average months subscribed
LTV:CACgross-profit LTV / CAC

Why it is different

The product stays honest about what it can touch.

Uses only client-entered, UI/device-exposed, and approved external data in the current launch path.
Saves the full Product-to-Profit Passport snapshot for later readback.
Shows evidence and assumptions beside the result, not hidden behind a black-box score.
Supports copy, download, review, manual apply, and one-way handoff instead of direct store mutation.

Answers for buyers and search

Clear enough for humans. Structured enough for answer engines.

What does Exsel do?

Exsel turns product ideas, merchant-visible account signals, client-entered data, and market evidence into Product-to-Profit Passports that show what to launch, price, stock, fix, or avoid next.

What does the customer actually receive?

A saved Passport with demand, profit room, risk, timing, best channel, next action, evidence, and a manual-use package that can be displayed, copied, downloaded, reviewed, or handed over through an approved one-way device flow.

Does Exsel log in to or directly change a merchant store?

No for the current launch path. Exsel uses data the client enters, data the client UI or device exposes, and approved external data, then returns the result to the merchant for review and manual use.

How are website projections calculated?

Website economics use explicit subscription formulas for conversion rate, traffic-to-lead rate, CAC, LTV, LTV:CAC, payback, MRR, and revenue per visitor. The site must show assumptions and scenario bands, not guaranteed signup numbers.

Google Search Central helpful content guidanceAnswer real buyer questions directly and sell concrete ecommerce outcomes instead of search-only copy or internal AI labels.Google Search Central structured data guidelinesJSON-LD must describe visible page content and must not mark up hidden, misleading, or unsupported claims.Google Search Central AI optimization guideUse clear, crawlable, entity-consistent answers that an AI answer engine can quote without guessing what the product does.Google Search Central robots meta documentationPublic marketing and pricing pages are deliberately indexable while app, account, admin, and payment areas remain protected.

Start with one decision

Bring one product. Leave with a Passport.

Tell Exsel the product, channel, costs, constraints, and goal. The first useful output should be a saved decision package, not another dashboard to interpret.

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