Good Numbers
Your data is already there.
We make it useful.
Good Numbers builds the pipelines, models, and dashboards that turn scattered data into numbers you can actually run a business on.
Shopify
Amazon
Meta
Google
Klaviyo
CRM
Warehouse
Integrations
+ more
ShopifyGA4Meta AdsGoogle AdsKlaviyoHubSpot
SalesforceAmazon
TikTok Ads
LinkedIn
Stripe
WordPress
Instagram
Facebook
YouTube
Pinterest
PayPal
AWS
Search Console
Microsoft Ads
WooCommerce
GorgiasMost ecommerce and marketing teams are swimming in data but starving for clarity. Numbers live in disconnected tools, reports contradict each other, and no one agrees on what's actually working.
Fragmentation is.
Shopify, GA4, Meta, CRM, each with its own numbers, none of them talking to each other.
Hours every week copy-pasting into spreadsheets instead of using the time for decisions.
Finance sees a different figure than marketing. Decisions stall while teams argue over sources.
Ad spend keeps climbing but no one really knows which channels are driving the revenue.
What we build
End-to-end data systems, from raw source data to the metrics your team actually uses to run the business.
Data Engineering
Pipelines that pull from your sources, clean and transform the data, and load it somewhere reliable. Built to run without babysitting.
Analytics Engineering
Shared metric definitions, clean data models, and a single source of truth your whole team agrees on.
Dashboards & BI
Reporting surfaces built around actual decisions, not data dumps. Fast, trusted, and relevant for the people using them.
Tracking & Automation
Accurate event tracking, attribution setup, and automated workflows that eliminate recurring manual work.
From scattered tools to one operating picture.
We connect the systems already running the business, give the data a reliable structure, and surface the numbers people actually need to act on.
Connect the stack. Normalize the data. Make the outcome visible.
Commerce, acquisition, CRM, content and analytics data don't need to live in separate reporting islands. We build the layer that makes those systems agree, then expose the result where your team already works.
Shared definitions for revenue, spend, customers, leads and the metrics your team argues about today.
Automated ingestion and reporting replace recurring exports, spreadsheet stitching and copy-paste workflows.
A system that can absorb another store, channel, CRM or reporting requirement without starting over.
How an engagement works
Every project starts with the business problem, never the tooling. We work backward from the decisions you need to make.
Discover
We understand the business, the current stack, where the gaps are, and which decisions actually matter.
Design
We architect the data model, pipelines, metrics and outputs around your specific questions.
Build
We engineer, automate and test the system so it stays reliable as the business grows and changes.
Deliver & optimize
We launch the system, make it usable, and keep improving it as new questions emerge.
Use the tools you already trust.
We work across the modern ecommerce, marketing, analytics and data stack. The architecture follows the business problem, not a favorite vendor.
ShopifyAmazonWordPressHubSpotSalesforceStripePayPalKlaviyoWooCommerceGorgias
Recharge
Braze
AttentiveMeta AdsGoogle Ads
GTMGA4TikTok AdsLinkedIn AdsPinterest
Snap AdsSearch ConsoleMicrosoft AdsYouTubeBigQuery
Snowflake
Redshift
PostgreSQL
MySQL
Power BI
Tableau
Looker Studio
Python
dbtAirbyte
Fivetran
Make
Zapier
n8n
Segment
TwilioAWS
Docker
GitHub
Google Cloud
AzureHow we work together
Some teams need a specific system built. Others need a data partner as their stack and questions keep changing.
Build a system
Defined scope, clear architecture and delivery for a specific data, tracking, reporting or automation problem. You know the outcome you want, and we build the system to get you there.
Ongoing data partner
Continuous engineering, analytics and optimization as new channels, questions and operational needs emerge. We become the data function your team doesn't have to hire.
Tell us what's broken.
Start with the problem. We'll work backward to the right system, whether that's a pipeline, a dashboard, a tracking fix, or all three.