Build to Sell
7 Days to Your First Data Product

You Know Your Stuff ...

All for free.Meanwhile, people with half your experience are creating and selling digital products - templates for $15, guides for $47, mini-courses for $97. They're building experience, confidence, and yes, some income along the way.The difference isn't that they know more than you. It's that they know how to package what they know and actually finish what they start.Those half-finished guides sitting on your desktop? Each one represents a potential product and valuable experience you're missing out on.Every day you wait is another day you could have been building your product creation skills.

Why Most Data Professionals Never Monetize Their Expertise

Problem #1: The "Helpful Colleague" Trap
You're so generous with your knowledge that you've trained everyone to expect it for free. That analyst who asks you about pivot tables every week? They'd happily pay $47 for a guide that solves their problem permanently. But since you keep helping for free, they never need to.Problem #2: Impostor Syndrome Paralysis
"Who am I to charge money for this?" you think, while consultants with less experience charge $200/hour for the same advice you give away in Slack. Your "obvious" knowledge took you years to develop and saves others hours of frustration.Problem #3: Project Graveyard Syndrome
Your desktop is a museum of good intentions — half-finished courses, almost-complete guides, "someday I'll finish this" templates. Each folder represents potential income that's helping exactly nobody.Problem #4: Analysis Paralysis
You research platforms for months, study competitor pricing, and create detailed business plans. You're treating product creation like a data science project that needs perfect analysis before execution. Meanwhile, people with less expertise are shipping and profiting.Problem #5: The Perfectionism Prison
"Just one more improvement" has killed more data professional side businesses than lack of knowledge ever will. While you're perfecting version 12, someone else ships version 1 and starts making money.Problem #6: Undervaluing Your Unique Mix
You're not just "a data analyst." You're a data analyst with retail experience, or healthcare background, or financial services knowledge. That specific combination is what makes your approach valuable — and what people will pay for.Problem #7: Fear of Self-Promotion
You're comfortable debugging complex queries but feel awkward about marketing yourself. The thought of becoming "one of those LinkedIn people" makes your skin crawl. But sharing valuable solutions isn't pushy — it's helpful.Problem #8: Time Scarcity Reality
Between your day job, continuing education, and actual life, creating a substantial digital product feels impossible. You need a system that works with your real schedule, not against it.Here's the truth that hurts:
*Every day you wait, someone else is capturing the audience that should be buying from you.

• I am ready to create my first digital data product

Early Bird Pricing

^$97

Complete course + $400+ in bonuses + lifetime access

• Buy now

3 Costly Mistakes for Data Professionals

Mistake #1: Trying to Create the "Ultimate Complete Course" Instead of Solving One Specific Problem
What many data professionals do:
They try to create comprehensive masterclasses - "The Complete Guide to SQL" or "Everything You Need to Know About Data Visualization." They think bigger automatically means more valuable and more profitable.Why this is costly:
You end up with a scope so massive it takes 6+ months to complete (if ever). Meanwhile, you're competing with established platforms and courses that already dominate these broad topics. Plus, people don't want to learn "everything" — they want to solve their specific problem right now.The reality:
While you spend months creating your comprehensive SQL course, someone else finishes and launches "Fix Slow Dashboard Queries in 30 Minutes" as a simple $27 guide. They're building experience, confidence, and momentum while you're still outlining chapter 3.How Build to Sell fixes this:
We focus on ONE specific problem that people will pay to solve immediately. Instead of "Complete Dashboard Guide," you create "Dashboard Color Schemes That Don't Make Executives Cringe." Specific, valuable, finishable in days, not months.Mistake #2: Giving Away Premium Solutions Because They Feel "Obvious" to You
What data professionals do:
They assume everyone knows how to debug slow queries, clean messy datasets, or communicate with non-technical stakeholders. If it's automatic for them, it must be basic knowledge, right?Why this is costly:
You literally give away consulting-level advice for free because you can't see your own value. Consultants charge $150-300/hour for the exact frameworks you share in Slack conversations. You're providing premium solutions at free prices.The crushing truth:
Last week, you probably solved a problem in 20 minutes that would have taken someone else 4+ hours of frustration. That 20-minute solution could be packaged as a valuable $15-47 guide. But because it was "easy" for you, you never think to create it.How Build to Sell fixes this:
We use AI-powered prompts to help you see your expertise through your customers' eyes. You'll discover that your "basic" troubleshooting process is actually a systematic methodology worth packaging, and your stakeholder communication templates could save people hours of career-damaging confusion.Mistake #3: Getting Trapped in "Research Mode" Instead of "Revenue Mode"
What kills most data professional side hustles:
They spend 3-6 months researching platforms, analyzing competitor pricing, and creating detailed business plans. They treat product creation like a complex data analysis project that needs exhaustive research before any action.Why this destroys your dreams:
While you're researching the "perfect" approach, three things happen:
(1) You never actually start building anything,
(2) Someone else launches the product you were planning, and
(3) You convince yourself the market is "too crowded" to enter.The expensive reality:
Every month you spend in research mode is a month without the experience and confidence that comes from completing and launching a product. The learning and momentum you gain from shipping your first product is invaluable for creating better, more successful products in the future.How Build to Sell fixes this:
We give you a proven 7-day framework that eliminates decision paralysis. No 6-month research phases. No complex business planning. Just a clear path from idea to launched product that starts generating income within a week.

Core Course Content

Day 0: Setting You Up for Success
Mindset reframes that prevent the perfectionism and impostor syndrome that kill 80% of projectsDay 1: Picking Your Realistic Product Idea
AI-powered experience mining to identify knowledge you didn't realize was valuable.
Uniqueness discovery - why YOUR approach is worth paying forDay 2: Creating Your Data Product
Proven outline structures that lead to immediate implementation.
AI-assisted content development that speeds up writing by 300%Day 3: Writing Copy That Sounds Like You
Story frameworks that help prospects see themselves succeeding with your solution.
Problem-focused positioning that makes your solution feel essentialDay 4: Setting Up Your Sales System
Platform setup and optimization (payment processing, delivery automation).
Product page creation that converts browsers into buyersDay 6: Telling People Your Product Exists
Authentic sharing strategies for people who hate self-promotion.
Personal outreach templates for your existing networkDay 7: Launch Day
Final pre-launch checklist that prevents costly mistakes.
Launch day troubleshooting for real-time problems

• I am ready to build to sell

"But What If...?"
(Your Questions Answered)

Q: I've never created a digital product before. Is this too advanced?
A: This is designed for people who have never created a digital product. The AI prompts handle the hard parts (structure, first drafts) while you focus on adding your expertise. Your data skills actually give you an advantage because you're used to breaking complex problems into steps.Q: I don't have thousands of social media followers.
Can this still work?
A: Absolutely. Most data professionals succeed by selling to their existing network and professional connections, not social media followers. I've seen people with 50 LinkedIn connections successfully launch their first $27 product. Your credibility comes from your work and expertise, not your follower count.Q: What if nobody buys my product?
A: The course includes market validation techniques to test demand before you build. But remember, the primary value is learning the complete process and building the confidence to create products. Even if your first product only sells a few copies, you've gained invaluable experience for your next one.Q: I'm already working 50+ hours a week. Where will I find the time?
A: Each day requires 1-2 hours of focused work. The AI prompts cut content creation time by 70%. Most students complete their product during evenings and weekends. If you can't find 7-14 hours over a week to potentially change your financial future, you're not ready for this.Q: What if I start but don't finish?
A: The daily structure and AI assistance make this much more likely to stick than anything you've tried before. Plus, each day builds momentum toward the next. But honestly? If you've never finished a side project, this might not be for you. This is for people ready to commit to 7 days of focused work.Q: Isn't the market oversaturated with courses and digital products?
A: Generic business and lifestyle courses are oversaturated. Specific solutions for data professionals are not. When's the last time you found a good guide for "explaining data quality issues to executives" or "SQL optimization for dashboard performance"? The specificity is what creates opportunity. Plus, your unique background and industry experience make your approach different from anyone else's.Q: What platforms does this work with?
A: We focus on Gumroad for beginners (simple, reliable, handles everything), but the principles work with any platform. The course teaches strategy and execution, not just platform mechanics.Q: What if my company has policies against side businesses?
A: Many companies allow educational content creation, especially if it enhances your professional reputation. But you need to check your specific employment agreement. This course helps you build assets even if you can't monetize them immediately.