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Solutions/Service & Vertical/Marketplace
Service & Vertical · Web Application

A marketplace analytics dashboard that shows you supply quality, transaction health, and growth levers in one view.

We build analytics dashboards for marketplace startups — GMV and take rate trends, supply-side seller scorecards, buyer cohort LTV, category health, and the liquidity metrics that tell you where your marketplace is gaining density and where it's stalling. Fixed scope, fixed price.

150+
Projects shipped
99%
Client retention
~12wk
Average delivery
The problem
Marketplace health is determined by the balance between supply quality, buyer demand, and transaction velocity. That balance is made of a dozen metrics that don't all live in the same place and don't tell a coherent story without an analytics layer.

Marketplaces are defined by their unit economics, and those unit economics are two-sided: supply quality determines buyer satisfaction which determines repeat purchase which determines LTV which determines how much you can spend to acquire buyers. Supply-side and demand-side metrics have to be tracked and optimised simultaneously, but most marketplace analytics tools (Stripe, GA4, your Postgres database) look at one side at a time.

The supply side question is: what percentage of our sellers are producing enough transaction volume to be considered active, and what's the distribution of quality within the active seller base? A marketplace where 80% of GMV is concentrated in 5% of sellers is fragile — losing those sellers is an existential risk. A marketplace with healthy GMV distribution across the supply base is resilient and scalable.

The demand side question is: what's the LTV of buyers acquired through different channels, and at what point in the buyer lifecycle does the marketplace relationship become self-sustaining (the buyer coming back without paid acquisition)? That question requires cohort analysis — grouping buyers by acquisition month and channel and tracking their transaction history over time. Most marketplace teams can't answer this question quickly because the data exists but the analysis is manual.

What we build

A marketplace analytics dashboard that surfaces GMV trends, supply quality by category, buyer cohort LTV, and liquidity metrics — so you know where to invest in supply, where to acquire demand, and where the marketplace is gaining its own momentum.

GMV and take rate dashboard

Gross merchandise value by day, week, and month with trend and growth rate. Take rate (platform commission as percentage of GMV) trend. Net revenue after payment processing and refunds. GMV by category, geography, and seller tier.

Supply-side seller scorecard

Seller activity tiers: active (transaction in last 30 days), at-risk (no transaction in 30–60 days), churned (no transaction in 60+ days). GMV concentration by seller — how dependent is the marketplace on top-10 sellers? Seller quality metrics: average transaction value, review rating, dispute rate, and response time.

Buyer cohort LTV

Buyers grouped by acquisition month and acquisition channel. Revenue per cohort at 30, 60, 90, and 180 days. Repeat transaction rate per cohort. CAC payback period by channel. Identifies which acquisition channels produce the highest LTV buyers.

Category liquidity

For multi-category marketplaces: transactions per listing per category (supply-to-demand ratio). Categories with high supply and low demand (need demand investment) vs. categories with high demand and low supply (need supply investment). Category conversion rate.

Trust and quality metrics

Average seller rating trend. Dispute rate by category. Refund rate by category. Percentage of transactions with 5-star ratings. Flags for categories with declining quality trends. Built on Next.js, Recharts, Postgres analytical schema with cohort calculation views, and Stripe Connect data integration.

Engagement

One honest number to start.

Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.

Tier · Web ApplicationFixed scope
From$25,000

A marketplace analytics dashboard that surfaces GMV trends, supply quality by category, buyer cohort LTV, and liquidity metrics — so you know where to invest in supply, where to acquire demand, and where the marketplace is gaining its own momentum.

99% client retention across 40+ projects
Process

Three steps, every time.

The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.

01Week 0

Brief & discovery.

We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.

02Weeks 1–N

Build & ship.

Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.

03Post-launch

Warranty & retainer.

30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.

Why fixed-price

Why Fixed-Price Matters Here

Marketplace investors and operators evaluate marketplace health on specific metrics — GMV growth rate, take rate, buyer LTV, supply concentration. A dashboard that makes those metrics visible and defensible is a fundraising and operational asset. Fixed scope, fixed price.

FAQ

Questions, answered.

Liquidity definition varies by marketplace model — for a service marketplace, it's booking rate per listed provider; for a product marketplace, it's sell-through rate per listing; for a lending marketplace, it's match rate per credit application. We define the liquidity metric appropriate to your marketplace model during discovery and build the calculation logic accordingly.

Geography-based segmentation — GMV by city, supply count by city, buyer-to-seller ratio by city — is a core feature of the marketplace dashboard for companies doing geo-based expansion. The dashboard shows which cities have achieved liquidity and which are still building supply density.

Seller segmentation by type requires a seller classification field in the data model. We design the classification approach during discovery — based on application data, transaction history, or manual tagging. Scorecards per seller type give you performance context relative to appropriate peers.

GMV analytics, seller scorecards, buyer cohort LTV, and category liquidity metrics typically runs $35k–$65k. Multi-category complexity and supply/demand geographic expansion views add scope. Fixed-price.

8 to 12 weeks for a production marketplace analytics dashboard with supply and demand visibility.

Next step

Tell Ryel about your project.

Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.