A Programmatic SEO Experiment by Tom Granot ↗
Syntax GTM
Data Infrastructure 2-3 weeks (including customer interviews)

Case Study for Data Infrastructure

A detailed story of how a customer achieved success with your product. Case studies provide social proof and help prospects envision their own success with your solution.

Why Data Infrastructure Companies Need This

For data infrastructure products, a well-crafted case study is essential. Your target buyers—Data Engineers, Analytics Engineers, Data Leaders—are evaluating multiple solutions and need to quickly understand why your product is the right choice.

The unique challenges of marketing data infrastructure mean your case study needs to:

! Address: Standing out in a crowded market
! Address: Explaining technical differentiation clearly
! Address: Addressing build vs buy skepticism

Key Components

Every effective case study for data infrastructure should include:

  1. 1
    Customer overview
  2. 2
    Challenge/problem faced
  3. 3
    Solution and implementation
  4. 4
    Results and metrics
  5. 5
    Customer quote
  6. 6
    Key takeaways

Step 1: The Brief

Before creating your case study, document answers to these questions specific to your data infrastructure product:

Product Questions

  • → What specific data connectors capabilities does your product offer?
  • → How does your product differ from Fivetran?
  • → What metrics can you share about performance or results?

Persona Questions

Data Engineers:

  • → How does your product address: Pipeline reliability and monitoring?
  • → How does your product address: Schema management complexity?

Analytics Engineers:

  • → How does your product address: Data quality issues?
  • → How does your product address: Documentation and discovery?

Use Case Questions

  • → How does your product support modern data stack setup?
  • → How does your product support data migration?

Step 2: The Draft

With your brief complete, create your case study following this structure:

Case Study Outline

  1. 1. Customer overview
  2. 2. Challenge/problem faced
  3. 3. Solution and implementation
  4. 4. Results and metrics
  5. 5. Customer quote
  6. 6. Key takeaways

Tips for Data Infrastructure

TIP Lead with the problem: Pipeline reliability and monitoring resonates with Data Engineers
TIP Show, don't tell: Include examples of data connectors and transformation layer
TIP Address objections: Standing out in a crowded market will be top of mind

Common Mistakes to Avoid

When creating a case study for data infrastructure, watch out for these pitfalls:

X No specific metrics or outcomes
X Too focused on your product, not the customer
X Missing customer quotes
X Not addressing implementation challenges
X Poor storytelling structure

Step 3: Production

With your draft complete, focus on these production steps:

→ Get feedback from someone who matches your target persona
→ Test messaging claims with real prospects if possible
→ Ensure design supports (not distracts from) the content
→ Set up tracking/analytics to measure effectiveness

Recommended Tools

Google Docs Notion Figma for design

Learn From These Companies

Study how these data infrastructure companies approach their marketing:

Fivetran ↗

Series D

Connector-focused messaging, reliability emphasis, enterprise push

dbt Labs ↗

Series D

Community-led growth, transformation focus, strong brand

Airbyte ↗

Series B

Open-source alternative positioning, connector quantity focus

Related Guides

Case Study for Other Categories

Case Study for API Platforms Case Study for Developer Tools Case Study for Cloud Security

Other Guides for Data Infrastructure

Messaging Framework for Data Infrastructure Demo Video for Data Infrastructure Sales Deck for Data Infrastructure
← Back to Data Infrastructure Marketing

Need help with your case study?

We help data infrastructure companies create marketing content that resonates with technical buyers.

Work With Us