Every number you check, together.

We build dashboards that pull live data from your shop, CRM, ad accounts and finance tools. Your team sees the same figures, updated without anyone exporting a spreadsheet.

Start a project Software quoted per project

No more manual exports
Shared team figures
Weekly AI summaries

Sources connected

Sales

Shopify and Stripe

Ad spend

Meta and Google

Leads

From HubSpot

Refresh

Hourly sync

Most teams spend hours each week copying figures between exports and still argue over which number is right. We agree how each metric is calculated, connect the sources directly, and build one dashboard everyone trusts.

What goes on the screen.

Each dashboard is designed around the decisions your team makes, with only the figures that help make them.

Connected data sources

Shopify, Stripe, Xero, HubSpot, Google Analytics, Meta and Google Ads feed in through their APIs, alongside any spreadsheets you still rely on.

Agreed metric definitions

We write down how revenue, margin, conversion rate and customer value are calculated, so the dashboard and your accounts tell the same story.

Filters and drill-downs

Slice by date, channel, product, location or team member, then click from a total through to the orders or leads behind it.

Role-based views

Directors, marketers and managers each see the figures relevant to them, with sensitive data such as payroll kept to the right people.

Scheduled reports

A PDF or email summary lands in inboxes or a Slack channel each Monday, so people see the numbers without logging in.

Alerts on changes

Set thresholds for stock, ad spend or failed payments, and get a message when something moves outside its normal range.

Done properly.

The details that decide whether dashboards pays off.

Clean data before any charts.

We connect each source, check the data for gaps and duplicates, and store it in a PostgreSQL database built for reporting. Charts then read from one tidy copy, so figures stay consistent and pages load quickly.

Nightly data sync

TriggerScheduled sync starts

TaskPull orders and ad spend

ReviewCheck for missing data

ReportDashboard refreshed

A written summary beside the charts.

Each week, AI reads the dashboard and writes a short summary in plain English of what changed and where to look. Someone on your team can edit it before it goes out, and it only sees the data you choose.

Weekly summary

Example

Sales were steady this week, with more orders from returning customers. Paid social spend rose while enquiries held level, so cost per lead went up. Worth reviewing the newest ad sets before Friday.

Checked by a person before it goes out

How it works.

Clear steps, and you approve each one before we move on.

01
Discover
We list the decisions you make and the figures behind each one.
02
Connect
We link your data sources and agree how each metric is calculated.
03
Design
We lay out the screens in Figma and refine them with the people using them.
04
Launch
We go live, set up reports and alerts, and adjust from feedback.

Example project

An online retailer that needs one view of profit

A growing e-commerce brand checks Shopify, Meta Ads, Google Ads and Xero separately every Monday. Each report tells a different story, and nobody is sure which products make money after ad spend.

What we would do

Agree how profit per product is calculated
Connect Shopify, both ad accounts and Xero
Design a Monday view for the founders
Add alerts for low stock and overspend

An illustration of how we would approach it, not a client result.

What you would get

A live profit dashboard
Clear notes on every metric
A weekly email and Slack summary
Alerts when figures move unexpectedly

Start a project like this

Related work.

Projects where we did this kind of work.

Own product · Web app

InfinityFX

Forex market analysis with AI-written explanations and Stripe subscriptions.

Read the case study

More workSee everything we've built.Client projects and our own products, with what we did on each.See all work

Questions, answered.

Why not use Looker Studio or Power BI?

Those tools work well for many teams, and we can build in them if they suit you. A custom dashboard makes sense when you need data they cannot reach easily, custom logic or a view inside your own software.

Which tools can you pull data from?

Most tools with an API, including Shopify, Stripe, Xero, QuickBooks, HubSpot, Google Analytics, Meta and Google Ads. Spreadsheets and CSV exports can be included too while you move away from them.

How often does the data update?

It depends on the source and what you need. Some data can refresh every few minutes and some once a day, and we agree the right timing for each source during planning.

How much does a dashboard cost?

It is quoted after a short call, with a fixed price agreed before we start. Hosting, data updates and changes after launch can run on a fixed monthly fee.