CASE STUDY

Modeling Stripe Data for Strategic Growth with Uniqode

How Database Tycoon helped Uniqode unify revenue metrics and build executive-ready analytics for their Series B

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Let's Talk
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Uniqode is a SaaS platform that helps businesses create, manage, and track QR codes at scale. Before partnering with Database Tycoon, Uniqode’s finance and growth teams were flying blind. Revenue metrics were scattered across Stripe UI, Redshift, and CSV exports, with inconsistent MRR logic and no single source of truth.

About Uniqode

“The work this team did laid the foundation for everything we’re doing now. Six months ago, we didn’t have any of this. We can now now run weekly executive data reviews with enriched customer data and drive outbound strategy much more clearly. We’re positioned to be Series B–ready tomorrow. ”
— Chase Wright, Head of Finance at Uniqode

The Stack

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Stripe

Redshift

Salesloft

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Hightouch

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dbt

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CLIENT CHALLENGE

CLIENT CHALLENGE

Client Challenge

Uniqode needed a consistent, scalable foundation for their financial analytics.

Uniqode’s revenue reporting was fragmented. Key metrics like MRR, churn, and customer lifetime value were calculated differently across tools, making it impossible to get a reliable financial picture.

The team was exporting CSVs from Stripe, manually adjusting for discounts and currency, and syncing data by hand between Stripe Sigma and internal dashboards. Leadership couldn’t trust the numbers, and teams couldn’t align around shared definitions.

Our Approach

We rebuilt Uniqode’s analytics foundation around clarity and reproducibility.

Our team helped them model Stripe data in dbt, standardize key revenue logic, and launch a customer snapshot dashboard that powers weekly executive reviews.

Now, Uniqode uses analytics as a growth lever across every department.

  • Define consistent metrics for MRR, churn, and cohorts.

  • Fixed time zone drift, discount handling, and multi-currency reconciliation.

  • Built a customer snapshot view that drives strategic reviews every week.

Choosing the Right Stripe Ingestion Strategy

Comparison chart of Stripe ingestion options with columns for option, description, pros, and cons. Options include Fivetran + Custom Models, Fivetran + Pre-Written dbt Models, Direct API Loading, and Stripe Data Pipeline (Chosen).

One of the key challenges early in the project was deciding how to load Stripe data into Uniqode’s warehouse. The team wanted a balance between flexibility, maintainability, and speed, as this choice would shape how their entire analytics stack evolved.

We explored four approaches together, each with its own trade-offs:

Ultimately, we chose Stripe Data Pipeline for its simplicity and stability — a pragmatic decision that matched Uniqode’s lean team and immediate goals. This choice allowed us to focus our time on modeling and governance, not infrastructure maintenance.

By documenting the decision process, we gave Uniqode a framework to revisit ingestion options as their data maturity grows.

Client Results

  • Executive Confidence

    Leadership now relies on a single source of truth for all key revenue metrics.

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  • Operational Impact

    Data from Stripe powers Uniqode’s outbound sales via Hightouch and SalesLoft — generating $30K+ ARR.

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  • Scalable Framework

    Replicable dbt models and definitions now serve as Uniqode’s foundation for future analytics.

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  • Series B-Readiness

    Uniqode now has financial analytics capabilities that surpass many Series C companies, giving leadership confidence as they scale toward funding milestones.

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Related Resources

  • A digital graphic displays the title 'The Stripe Modeling Guide We Wish We Had' and three purple credit cards, with one card slightly transparent and another with a gold chip. The background is a gradient of blue shades with a small logo in the top left corner.

    The Stripe Modeling Guide We Wish We Had

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  • A digital graphic displays the title "Evaluating Stripe Ingestion Frameworks: Our Process, Benchmarks, and Findings" with abstract illustrations of a green and a blue credit card on a beige background.

    Evaluating Stripe Ingestion Frameworks: Our Process, Benchmarks, and Findings

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