Brainforge Knowledge

dbt-audit-landing-page

7 min read

Landing Page: dbt Audit Service

Hero Section

Headline: Your dbt runtime is cutting into business hours. Your team can’t debug 600-line models. You’re flying blind.

Subheadline: We audit your dbt project—models, tests, DAG structure, documentation—and deliver a prioritized roadmap in 3-4 weeks. Cut runtime 50%+, fix DAG cycles, implement modularity, rebuild trust.

Primary CTA: “Get Your Free dbt Audit Roadmap”

Form Fields:

  • First name*
  • Last name*
  • Email address*
  • Company name*
  • dbt project size (dropdown: < 50 models, 50-200 models, 200-500 models, 500+ models)

Visual Suggestions:

  • Hero Visual: Split-screen before/after visual showing chaotic dbt graph (left) vs. clean, organized infrastructure (right)
  • CTA Button: Prominent, action-oriented button with “Get Your Free Roadmap” text
  • Layout: Left-aligned copy with visual on right, form below headline

StoryBrand Element: Problem (hook) + Guide (preview)

Problem/Solution Narrative

Headline: The dbt Promise vs. Reality

Copy: Your dbt project grew organically. Now you have 4-hour runtimes, 600-line models, DAG cycles, and tests that have been failing for years.

The problem isn’t dbt—it’s the foundation. Without DRY, proper DAG structure, modularity, and documentation, your infrastructure becomes unmaintainable. New team members can’t ramp up. Debugging takes hours. You can’t trust the numbers.

We audit your entire dbt project—models, tests, dependencies, architecture—and deliver a prioritized roadmap. What to fix first. What’s working. How to scale. 90% engineers. dbt partners. We build what we run.

Visual Suggestions:

  • Problem/solution diagram: Show chaotic dbt graph transforming into clean, organized structure
  • Before/after comparison: Side-by-side showing messy code vs. modular, documented code
  • Supporting imagery: Visual metaphor of building on solid foundation vs. swamp

StoryBrand Element: Problem → Guide → Plan

Preview/What’s Inside Section

Headline: What’s inside your audit roadmap?

Preview Points:

  1. Infrastructure Assessment - Models, tests, dependencies, documentation gaps
  2. Prioritized Fix List - Recommendations ranked by impact
  3. Architecture Recommendations - DRY, DAG cycles, modularity, naming conventions
  4. Performance Analysis - Bottleneck identification and optimization strategies
  5. Documentation & Testing Plan - What to document, how to structure tests
  6. Implementation Roadmap - Phased approach by data mart priority

Visual Suggestions:

  • Icon for each preview point (assessment, prioritization, architecture, performance, documentation, roadmap)
  • Checklist or preview visual showing the six key deliverables
  • Diagram showing the audit process flow

StoryBrand Element: Plan (what you get)

Features/Benefits Section

Headline: What you’ll achieve

Benefits:

  • 50%+ runtime reduction - 4-hour runs → 2 hours or less
  • Overnight completion - Data ready before business hours
  • Modular code - 600-line models → 100-line blocks, easier to debug
  • Faster onboarding - Clear documentation and naming conventions
  • Working tests - Fix broken tests, establish data quality standards
  • Scale confidently - Add data sources and increase refresh cadence

Visual Suggestions:

  • Icon grid for benefits (speed icon, clock icon, debug icon, team icon, trust icon, scale icon)
  • Benefit cards with icons and short descriptions
  • Metric callouts: “50% faster runtime”, “100% documentation coverage”, “Modular code structure”

StoryBrand Element: Success (outcomes)

Social Proof Section

Headline: Trusted by data teams who were stuck

Client Logos: Urban Stems, Magic Spoon (and others as available)

Testimonials:

“I was always wanting to bang my head against the wall because I was so frustrated. The infrastructure was a huge mess—600-line files, broken tests, no documentation. Brainforge built a parallel infrastructure that was easier to debug, easier to find things, and much better named. Now I can actually understand what’s going on.” — Emily, Analytics Engineer, Urban Stems

“We were able to cut our dbt runtime from 2.5 hours down to 1 hour 40 minutes by changing materialization strategies and optimizing long-running models. That’s an hour saved every single day.” — Magic Spoon Data Team

Case Study Highlights:

  • Urban Stems: Transformed chaotic 600-line files into modular, documented infrastructure. New analytics engineer could debug issues in minutes instead of hours.
  • Magic Spoon: Reduced dbt runtime from 2.5 hours to 1 hour 40 minutes (33% improvement) by optimizing materialization strategies and identifying bottlenecks.

Visual Suggestions:

  • Client logo grid (Urban Stems, Magic Spoon)
  • Testimonial cards with quotes and client names
  • Case study preview cards with key metrics
  • Trust badges: “dbt Partners”, “90% Engineers”

StoryBrand Element: Guide (authority)

Process/Timeline Section

Headline: How it works

Process Overview:

Phase 1: Audit (3-4 weeks) Review models, tests, dependencies, documentation, architecture. Identify bottlenecks and broken patterns. Deliver prioritized roadmap.

Phase 2: Roadmap Review (1 week) Present findings. Refine plan based on your priorities.

Phase 3: Implementation (Optional) Build parallel infrastructure. Implement fixes by priority. Focus on specific data marts or entire stack.

Timeline:

  • Audit: 3-4 weeks (conservative estimate, works for any project size)
  • Implementation: 1-3 months depending on scope and complexity

Visual Suggestions:

  • Process flow diagram showing three phases
  • Timeline visualization with milestones
  • Step-by-step illustration with icons for each phase

StoryBrand Element: Plan (process)

FAQ Section

Headline: Frequently Asked Questions

Questions & Answers:

Q: How long does the audit take? A: 3-4 weeks. Works for projects of any size—we’ve audited projects with hundreds of models in this timeframe.

Q: What do I need to get started? A: Access to your Git provider and dbt project. We’ll coordinate with your team to get access and understand your infrastructure.

Q: What if my project has thousands of models? A: We’ll focus on critical areas and provide a scalable approach. Early communication about project size helps us scope appropriately.

Q: What results can I expect? A: Prioritized roadmap with specific recommendations. Typical improvements: 50%+ runtime reduction, modular code structure, complete documentation, working tests. Implementation results vary by priority.

Q: Do you make changes during the audit? A: Audit is assessment-only. We deliver a roadmap. Implementation is a separate phase where we build parallel infrastructure and migrate over time.

Q: What if I’m not ready to implement everything? A: Roadmap is yours to implement over time. Prioritize specific data marts (revenue, sales, inventory) or tackle critical issues first.

Q: How is this different from a consultant code review? A: We’re dbt partners with deep infrastructure expertise. We understand DRY, DAG structure, modularity at scale. We can implement fixes in parallel infrastructure so you don’t stop daily operations.

Q: What if we don’t have dbt yet? A: This service is for existing dbt projects. If you’re considering dbt, we can help you set it up correctly from the start.

Visual Suggestions:

  • Accordion-style FAQ layout
  • Expandable sections with question/answer format
  • Question mark icon for questions, checkmark for answers

StoryBrand Element: Plan (addressing fears)

Final CTA Section

Headline: Stop flying blind. Get clarity on your dbt infrastructure.

Copy: Stop debugging 600-line models. Stop wondering if your data is trustworthy. Get a clear roadmap to fix it.

CTA: “Get Your Free dbt Audit Roadmap”

Alternative CTA: “Schedule a 15-minute call to discuss your dbt challenges”

Visual Suggestions:

  • CTA button (primary and secondary)
  • Value reinforcement visual: Clean infrastructure vs. chaos
  • Urgency or benefit highlight: “3-4 weeks to clarity”

StoryBrand Element: Call-To-Action

Notes for Designer

Overall Design Direction:

  • Follow sample page structure and style (operating-white-paper, capabilities-deck)
  • Mobile-responsive design
  • Clear visual hierarchy
  • Scannable sections with plenty of whitespace

Form Design:

  • Lead capture form in hero section
  • Clear, simple form fields with validation
  • Prominent CTA button
  • Success/error states
  • Consider progressive disclosure (start with email, then ask for more info)

Visual Consistency:

  • Consistent icon style throughout
  • Consistent card/component style
  • Brand colors and fonts
  • Maintain visual consistency with other Brainforge landing pages

Key Visual Elements:

  • Hero: Strong before/after visual showing transformation
  • Process: Clear 3-phase timeline
  • Social Proof: Client logos and testimonials prominently displayed
  • FAQ: Easy-to-scan accordion layout

Brand Guidelines:

  • Follow existing brand guidelines
  • Use brand colors and fonts
  • Maintain visual consistency with other landing pages
  • Professional, technical, but approachable tone

Graph View