Find value
We inspect your data warehouse and revenue data to find where better data can make money.
How It Works
Build assets
We turn scattered ecommerce and SaaS data into revenue models, dashboards, and data products.
Compound revenue
We keep using the data products to improve ROAS, retention, conversion, LTV/CAC, and revenue.
OUR TECHNOLOGY STACK
What We Fix
Most teams have data somewhere, but not a system that turns it into revenue. We fix the foundation, reporting, and activation layer so your data starts driving growth.
Starting Point
You know data should drive growth, but not which sources, metrics, or revenue leaks to tackle first.
Messy Data
Your data is scattered across tools, exports, and dashboards without a clean BigQuery/Dataform foundation.
Reporting Gaps
Teams still wait for numbers, question dashboard accuracy, or cannot see the KPIs they need to run the business.
Passive Dashboards
Your data explains what happened, but it does not yet trigger better decisions, workflows, or actions.
Missing Activation
Audiences, segments, scores, and product data are not activated back into marketing, CRM, or sales platforms.
No Data ROI
Analytics work feels like cost because it is not connected to ROAS, retention, conversion, LTV/CAC, or revenue.
From messy data to revenue
Most teams already collect the data. We turn it into the foundation, reporting, and activation layer needed to make better growth decisions.
BEFORE DATAUPLIFT
Data exists, but it does not earn
- Unclear starting point
- Messy warehouse or no warehouse
- Broken reporting
- Passive dashboards
- No activation into growth tools
AFTER DATAUPLIFT
Data becomes a revenue system
- Revenue data map
- Clean warehouse models
- Reliable growth dashboards
- Weekly revenue decisions
- Activation into marketing, CRM, and sales
Why This Model Works
Straight answers to the questions buyers ask before they invest in a revenue data system.
No meetings
Meetings eat the budget. We spend that time shipping data work, so you get more output for the same monthly fee.
Fixed monthly rate
One predictable monthly fee for revenue data work in scope, not day-rate agency hours that expand every month.
Shared Workflow
You get a kanban board and ticketing system to add requests. We manage priorities, planning, and delivery.
Trusted Numbers
We reconcile metrics, sources, and definitions so dashboards, revenue reviews, and growth decisions match what actually happened.
No black box
We build in a dedicated GCP project, but your models, dashboards, and definitions stay visible, documented, and accessible.
After the first build
Once the foundation is live, the same async rhythm, kanban board, and fixed monthly scope keep turning new data questions into revenue workflows.
Common Starting Points
Most teams come to us with data already in place, but not yet working as a revenue system.
Numbers Do Not Line Up
Dashboards, finance, CRM, and ad platforms all tell different stories. We reconcile the sources so leaders can trust the numbers again.
Marketing ROI Is Unclear
Campaign, product, CRM, and payment data are disconnected, so ROAS and channel performance are hard to judge.
Reporting Takes Manual Work
Weekly or monthly reports still depend on exports, spreadsheets, copy-paste, and one person who knows the workaround.
Data Is Not Activated
Useful customer, product, and revenue signals stay stuck in dashboards instead of flowing into marketing, CRM, or sales tools.
Simple, Focused Pricing
One monthly subscription for the data foundation, models, and activation workflows that help your team grow revenue.
REVENUE DATA SUBSCRIPTION
$2,500
/month
A monthly subscription to turn scattered ecommerce and SaaS data into models, workflows, and growth actions.
WHAT'S INCLUDED
- Revenue data audit
- BigQuery/Dataform backend
- Clean customer and product models
- ROAS, retention and LTV/CAC metrics
- Platform activation workflows
- Shared backlog and async delivery
Pause Anytime
Keep going only while the work creates value.
Start With Value
We begin where better data can unlock revenue fastest.
Frequently Asked Questions
What does DataUplift include?+-
DataUplift builds revenue data products: models, metrics, reporting layers, and activation workflows that help ecommerce and SaaS teams turn data into growth.
Is this just dashboard work?+-
No. Dashboards can be part of the output, but the real product is the data model and workflow behind better ROAS, retention, conversion, LTV/CAC, and revenue decisions.
Where do we start?+-
We review your current data setup, tools, warehouse, tracking, and growth goals. Then we start where better data can unlock value fastest.
Do we need a data warehouse already?+-
No. If you already have one, we improve it. If not, we build the foundation in BigQuery and Dataform.
Which tools do you support?+-
We work with ecommerce, SaaS, CRM, ads, analytics, payment, spreadsheet, API, and inventory data. The backend is standardized on GCP, BigQuery, and Dataform.
What does data activation mean?+-
Turning modeled data into action: audiences, segments, scores, alerts, lists, and workflows inside marketing, CRM, sales, or operations tools.
How do requests and delivery work?+-
You get a shared kanban board and ticketing system. You can add requests; we manage priorities, planning, and delivery.
Can we pause or cancel anytime?+-
Yes. Keep going only while the work keeps creating value.