Why We Stopped Renting Our Business Intelligence and Started Building It

$2,347 Per Month to See My Own Data?

That was the number.

I added it up one evening after yet another auto-renewal notification landed in my inbox. $2,347 per month spread across a constellation of SaaS tools—each one solving a very specific slice of the business puzzle.

A social media scheduler. An ad reporting dashboard. A product analytics suite. A blog management platform. An inventory tracker. A competitive intelligence tool. A BI layer designed to try to stitch them all together.

Twenty-eight thousand dollars a year.

And to be clear, none of these tools were bad. Most of them were genuinely well built. They did exactly what they promised—just not exactly what we needed.

What I realized, slowly at first and then all at once, was that I wasn’t paying for insight. I was paying for interpretations. Twenty-eight thousand dollars a year to see my own data through other people’s assumptions about what mattered.

Every tool came with a familiar pitch: “All your data, one dashboard, actionable insights.”

And every tool delivered a similar reality: a rigid interface that mostly fit our use case, pricing tiers that bundled features we didn’t need, and export buttons that handed me CSVs when what I actually needed was context.

I couldn’t change how metrics were calculated. I couldn’t connect data across tools in ways that reflected how our business actually works. I couldn’t build the one report that would definitively answer the question I was asking.

I wasn’t locked out—but I was fenced in.

And if I wanted the fence moved? I could submit a feature request and hope it made the roadmap sometime in the next year or two.

That’s not a failure of SaaS. It’s a limitation of the model.

And if you’re running a small or medium-sized business in 2026, you’ve probably felt some version of this already.

The Subscription Economy’s Dirty Secret

The SaaS model was supposed to democratize enterprise software.

In many ways, it succeeded.

Small businesses gained access to tools that once required six-figure implementations. No servers. No IT departments. No multi-year contracts. Just a credit card and a monthly fee.

That access changed everything.

But somewhere along the way, convenience quietly turned into dependency.

The average small or mid-sized business now relies on 30 to 50 SaaS applications to operate. Each one owns a piece of the workflow. Each one holds a fragment of the data. And each one is optimized for its own roadmap—not for your system as a whole.

That distinction matters.

Your advertising platform is optimized to help you spend more efficiently inside its ecosystem.

Your analytics tool highlights the metrics it’s designed to measure.

Your social media scheduler emphasizes cadence and output.

Your inventory tool focuses on stock levels in isolation.

Individually, these tools are useful. Collectively, they rarely tell the full story.

And that’s not because they’re deceptive—it’s because no single SaaS product is incentivized to reveal the entire picture. The moment a tool helps you realize you don’t need it, the relationship ends.

This isn’t a conspiracy. It’s business mechanics.

SaaS companies are optimized for retention and expansion. Features are added to increase switching costs. Integrations are deep enough to create reliance, but rarely deep enough to make the tool interchangeable or disposable.

And pricing scales right alongside your growth.

Add users? Pay more.

Need one specific report? Upgrade.

Want programmatic access to your own data? That’s a higher tier.

Over three consecutive quarters, I watched our SaaS spend grow faster than revenue—not because we were careless, but because each incremental decision felt reasonable in isolation.

Industry data backs this up. SMB SaaS spending has increased dramatically since 2022, while the actual decision-making value—the clarity gained, the speed improved, the margin protected—has remained largely flat.

We weren’t paying for better answers.

We were paying to maintain access to the same ones.

Eventually, something had to change.

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The Moment I Realized We Could Build It Ourselves

The breaking point wasn’t dramatic.

It was a Tuesday afternoon.

I was trying to answer a simple question:

“Which of our products are driving profitable growth from paid advertising—and which ones are quietly bleeding money?”

To answer that, I needed data from four places:

Four sources. One question.

Each SaaS tool gave me part of the answer.

Google Ads showed efficient traffic.

GA4 showed engagement.

WooCommerce showed revenue.

Inventory software showed stock movement.

But none of them could connect the dots.

None of them could say:

“Product X looks strong in your ad dashboard, but once you account for returns, shipping, margin erosion, and the fact that a large portion of conversions would have happened anyway—you’re actually losing $3.20 per sale.”

That insight didn’t live inside any single tool.

It lived between them.

No automation. No middleware. No spreadsheet gymnastics were going to close that gap in a sustainable way.

That’s when I opened Claude and said:

“I need to build a system that connects advertising data, analytics data, and e-commerce data into a unified view with real profit calculations. Help me architect this.”

That conversation—and the thousands that followed—became FRANK.

Find. Report. Analyze. Navigate. Know.

Not a replacement for every SaaS tool.

But a foundation that made them optional instead of mandatory.

Click below:

What We Built (And What It Replaced)

References

BetterCloud — State of SaaSOps Report (2024–2025) BetterCloud reports that the average organization now uses 40+ SaaS applications, with continued growth in SaaS spend, redundancy, and operational complexity across SMBs and mid-market companies. https://www.bettercloud.com/resources/state-of-saas/

Blissfully (acquired by Vendr) — SaaS Trends Report Blissfully found that small and mid-sized businesses typically use 30–50 SaaS tools, with significant overlap and underutilization driving unnecessary cost and workflow fragmentation. https://www.vendr.com/blog/saas-statistics

Gartner — Forecast: Public Cloud Services Worldwide Gartner highlights sustained growth in SaaS spending and notes that subscription software costs are increasingly driven by tiered pricing, usage-based expansion, and vendor lock-in strategies rather than incremental utility. https://www.gartner.com/en/information-technology/insights/cloud-strategy

Zylo — SaaS Management & Spend Insights Zylo reports that over 95% of businesses rely on SaaS, with many organizations now actively pursuing SaaS consolidation due to rising costs and diminishing marginal returns from additional tools. https://zylo.com/blog/saas-statistics/

Vendr — SaaS Spend Growth & Optimization Trends Vendr’s analysis shows SaaS spending for SMBs has increased sharply since 2022, while ROI and actual tool utilization have lagged behind cost growth—fueling consolidation and replacement initiatives. https://www.vendr.com/blog/saas-spend-management

McKinsey & Company — The Next Horizon of Software Economics McKinsey outlines how AI and automation are shifting the build-vs-buy calculus, enabling smaller organizations to replace generic SaaS tools with custom internal systems at dramatically lower cost than in prior years. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/software-development-in-the-age-of-ai