Competitor pricing dashboards
Track competitor SKUs side-by-side with your own catalog. Daily pricing history, stock status, promotion windows, MAP violations, and assortment gaps surfaced in a single view.
Dashboard Delivery
From raw web data to a decision-ready dashboard your team will actually use.
We build the dashboard layer on top of your data pipeline — competitor pricing views, ecommerce intelligence portals, market monitoring streams, and client-facing analytics — with alerts, multi-tenant access, and SLA-backed hosting.
Dashboard latency
< 5 min
Alert delivery
Real-time
Hosted uptime
99.9%
Starting from
$500/mo
What we deliver
Dashboards that turn raw data into a decision.
A good dashboard is not a wall of charts — it is a surface that takes a person from question to action faster than any other path. We design and build dashboards around the decision they support, not the data they happen to contain.
Ecommerce intelligence portals
Brand-level visibility into marketplace position, BuyBox win rates, review velocity, content compliance, and category share — for internal teams or external clients.
Market monitoring views
Track competitor launches, hiring signals, funding news, press mentions, and product change-logs in one stream — with filters for the events that matter to your team.
Alerting & change detection
Price drops, stock changes, ranking shifts, competitor launches, sentiment swings — any threshold or change event can trigger Slack, email, webhook, or SMS alerts.
Analyst exploration layers
Searchable tables, segment filters, ad-hoc cuts, and CSV export for analysts who need to slice the data without writing SQL or waiting on a data engineer.
Client-facing portals
Multi-tenant dashboards with per-account access, white-labeled UI, SSO, embed support, and API endpoints — for agencies and platforms that resell intelligence to their customers.
Why the dashboard layer matters
Most data projects fail at the last mile.
A team commissions a web scraping pipeline. The data lands cleanly. The schema is normalized. The refresh is reliable. Then nothing happens. The CSV gets emailed once, ignored twice, and forgotten. Eight weeks later, leadership asks where the data is and no one can find the answer.
The pipeline was not the problem. The last mile was. Data that sits in a warehouse table does not change a business — data that surfaces in a dashboard, alert, or workflow does. The dashboard layer is the bridge between a working pipeline and an actual decision, and it is the layer most vendors skip.
Dashboard delivery, the way we build it, covers four jobs. First, audience mapping: who looks at this, and what are they trying to decide? Second, data modeling: what metrics, dimensions, and aggregations does that decision require? Third, the build: charts, tables, filters, alerts, and access control on top of the pipeline. Fourth, managed operation: hosting, monitoring, and evolution as the team\'s needs shift.
The choice of tooling depends on the use case. For most internal dashboards we ship on Metabase, Looker, or Superset because they cover the standard needs (SQL-backed exploration, scheduled reports, embedded charts) in days, not months. For client-facing portals, embedded analytics, and bespoke workflows we build with Next.js + React — a real product surface, designed and operated like one.
The result is consistent across engagements: the team that commissioned the pipeline actually uses the data. Competitor pricing changes trigger pricing meetings. Stock-out alerts fire into the right Slack channel. Client portals retain enterprise customers who wanted visibility into the data they paid for. The pipeline was always going to work — the dashboard layer is what made it count.
How we build
BI tool or custom app — whichever fits the use case.
We are not loyal to a single tool. The right stack depends on who uses the dashboard, how it is accessed, and what workflows it supports. We scope this during the engagement and build accordingly.
Hosted BI tools
Metabase, Looker, Superset, and Mode for engagements where standard charts and SQL-backed exploration cover the use case. Fast to ship, easy to maintain.
Custom Next.js apps
React + Next.js + shadcn/ui dashboards when you need branded UI, multi-tenant access, embedded views, or workflow-specific interactions. Built like a real product, not a Looker workaround.
Auth & access control
SSO (Okta, Google, Microsoft), role-based access, per-tenant isolation, audit logging, and API key management for engagements with security or compliance constraints.
Performance
Pre-aggregated metrics, materialized views, edge caching, and warehouse-direct queries keep dashboards fast even on multi-million-row datasets. No five-minute spinners.
Process
From audience to managed operation.
01
Audience mapping
We define who consumes the dashboard, what decision they need to make, and what the fastest path from data to that decision looks like. Most dashboard failures are scope failures.
02
Data model design
We design the schema, metric definitions, aggregations, and access boundaries that the dashboard needs. Bad models produce dashboards no one trusts; we get this layer right first.
03
Dashboard build
Charts, tables, filters, and alert rules are built on top of your pipeline. We iterate with your team on layout, defaults, and the workflows the dashboard needs to support.
04
Managed operation
Hosting, monitoring, refresh logic, user management, and dashboard evolution are part of the engagement — so the dashboard stays useful as your needs change.
Why Justmetrically
Pipeline and dashboard from one team.
Most dashboard vendors do not own the data. Most data vendors do not own the dashboard. We own both — so when the dashboard needs a new field or refresh cadence, we update the pipeline directly. Single owner, source to interface.
Built on a working pipeline
We do not build dashboards on data we did not source. Every dashboard sits on top of a pipeline we engineered and operate — so the data quality, refresh, and reliability are guaranteed end-to-end.
Production-grade by default
SSO, role-based access, audit logging, monitoring, and SLA-backed uptime — designed for internal enterprise dashboards and external client-facing portals alike.
Pipeline + dashboard, one team
When the dashboard needs a new field, the pipeline gets updated. No vendor handoffs, no finger-pointing, no "that's the BI team's problem." Single owner from source to interface.
Any data source
We can dashboard data from our scraping pipelines, your own warehouse, third-party APIs, or any combination. The pipeline layer is flexible; the dashboard layer adapts to it.
FAQ
Frequently asked questions about dashboard delivery.
What is dashboard delivery, and how is it different from a BI tool subscription?
Dashboard delivery is the full layer on top of a data pipeline — schema, metric definitions, charts, filters, alerts, access control, and hosting — designed for a specific decision or workflow. A BI tool subscription gives you the canvas. Dashboard delivery gives you a finished surface your team can use immediately.
Do you build dashboards from scratch or use a BI tool?
Both. We use Metabase, Looker, Superset, or Mode for standard analytics needs because they ship fast. For client-facing portals, embedded analytics, or unique workflows, we build custom Next.js + React dashboards. The choice is scoped per engagement.
Can the dashboard be embedded into our product or shown to our customers?
Yes. We build client-facing portals with multi-tenant access, branded UI, embedded views, SSO integration, and API endpoints. Common patterns include per-customer dashboards, white-labeled reseller portals, and embedded analytics inside an existing SaaS product.
How fresh is the data in the dashboard?
Dashboards reflect the cadence of the underlying pipeline. Daily and hourly refresh are standard. For real-time needs we run event-triggered pipelines with webhook delivery so dashboards update within minutes of a source change.
Can the dashboard send alerts when something changes?
Yes. Threshold rules, change-detection events, and scheduled report digests can trigger Slack, email, webhook, or SMS alerts. Alerting is a first-class feature of the dashboard delivery layer for monitoring use cases.
How much does dashboard delivery cost?
Dashboard delivery is typically bundled with the underlying pipeline. Engagements scope from $500/month for hosted BI-tool dashboards up to mid-five-figure builds for custom client portals with multi-tenant access. We scope every engagement before quoting.
Can we own the dashboard ourselves after handoff?
Yes. We hand over source code, schema definitions, and deployment scripts on request. For BI-tool engagements we hand over the workspace and dashboards directly. Ownership transfer is a standard part of the engagement model.
Do you integrate with our existing warehouse or BI stack?
Yes. We connect to Snowflake, BigQuery, Redshift, Postgres, S3, and most modern warehouses. We can also push into existing Looker, Metabase, Tableau, or Power BI workspaces if your team already has tooling in place.
Related work
Surfaces are nothing without the pipeline underneath.
Last-mile delivery
Pair your pipeline with a dashboard your team will actually use.
Dashboard delivery is bundled with the underlying pipeline. Engagements scope from $500/mo for hosted BI dashboards up to custom multi-tenant client portals. We scope around audience, decisions, and access requirements.