MAGNIFI STUDIO.

Enterprise-grade analytics built for growth-stage budgets.

We design, build, and maintain your data pipelines and analytics landscape.

Based in Omaha • Most clients are remote

MAGNIFI SERVICES

Let's make it useful.

Operational & Sales Analytics

Unify your data sources into centralized views

Customer & Marketing Intelligence

Turn your customer data into strategic opportunities

Web & Behavioral Analytics

Gain a more complete understanding of conversions

Product & App Analytics

Optimize your product experience and feature prioritization

Financial & Forecasting Analytics

Empower revenue leaders and plan with confidence

Data Infrastructure & Governance

Protect data integrity and future-proof your operations

GETTING STARTED

We'll strategize with you, and build for you.

01

Data Landscape Review

02

Environment Setup

03

Pipeline Buildout

04

Dashboard Development

05

Ongoing Support

PAST WORK

Real results for real scenarios.

1

A luxury jewelry brand in Texas now operates with a fully unified reporting suite, providing real-time visibility across all retail locations and online channels — enabling leadership to make faster, data-backed decisions.

2

A Texas-based airline redesigned its loyalty economics using a custom “circuity analytics” dashboard that identifies reward-seeking inefficiencies, reducing unintended program costs and improving the integrity of their points ecosystem.

3

A cannabis company in California unlocked a full view of customer lifetime value, revealing the behavioral signals that predict high-value cohorts and powering personalized marketing funnels that drive repeat purchases and long-term growth.

4

An e-commerce brand in Seattle uncovered how promotions influence demand cycles — clarifying when discounts drive incremental revenue versus when they simply pull sales forward — leading to smarter campaign timing and more accurate forecasting.

Retainers For All Stages

Scale your capabilities without scaling headcount.

Tier 1

Foundation

For teams getting their data organized and unified.

  • Best for things like:
  • ↳ Data source audit and mapping
  • ↳ Data warehouse setup or refinement
  • ↳ Core operational reports and dashboards

Tier 2

Optimization

For companies with data in place but lacking automation, consistency, or trust.

  • Take it further:
  • ↳ Department-level analytics solutions
  • ↳ Deeper insights and models
  • ↳ AI-ready data architecture

Tier 3

Fully Managed

Outsource your entire analytics function without giving up ownership.

  • Continuous improvement:
  • ↳ Entire data landscape management
  • ↳ Dedicated engineer
  • ↳ Ongoing expansions and analyses