◆ BUY VS BUILD

Should you roll your own?

The honest answer, with the numbers — built for the growth owner making the case to a skeptical CTO or CFO. Most teams shouldn't build. A few should. Here is how to tell which one you are.

01The matrix

The decision, dimension by dimension.

DIMENSION

BUILD

BUY

LEANS

Cost (Year 1)

1–2 senior engineers + infra + vendor APIs (model your own fully-loaded cost)

$1,800 – $4,800 / yr depending on tier

BUY

Time to value

6-12 months to a working v1

Days to first test shipped, not months

BUY

Maintenance

0.5-1 FTE ongoing (bug fixes, crawler upkeep, vendor churn)

$0 FTE. Updates ship weekly.

BUY

Control over logic

Full control. Customize anything.

Configurable but opinionated. API unlocks most extensions.

BUILD

Hiring requirement

1-2 senior engineers with CRO + ML experience

None

BUY

Vendor lock-in

None. You own the code.

Standard (data export + 30-day off-ramp available)

BUILD

Network / benchmark effects

Zero. Your data is just your data.

Comparative patterns across our customer base inform recommendations.

BUY

Fits strategic moat

If optimization is your product, yes.

If optimization is an internal function, yes.

DEPENDS

◆ WHEN TO BUILD

Four real scenarios.

Optimization IS your product

If you're a CRO platform yourself, an attribution tool, or an analytics vendor competing in this space — building is obvious.

You operate at a scale where a seven-figure custom build is a rounding error

At 1,000+ FTE with mature internal platform teams, the cost calculus flips — especially if you have unique compliance or integration requirements.

You have idiosyncratic product architecture

Some products (games, industrial IoT, medical devices) don't fit off-the-shelf experimentation tools. Build when the fit is wrong at the domain level.

You already have the senior engineers available

If the engineers would otherwise be idle and the opportunity cost is low, building can make sense. Rare at growth-stage companies.

◆ WHEN TO BUY

Four more common ones.

You're a growth team, not an infra team

The comparative advantage of a growth team is knowing the customer. Testing infrastructure is non-differentiating plumbing — outsource it.

You want the benchmark effect

Our recommendation engine gets smarter with every experiment shipped across our customer base. Your in-house version starts from zero every time.

You want testing velocity NOW

Live in days vs a 9-month build. Even if your v1 is better in some dimensions, you'll have shipped many tests in the time it takes you to ship the first feature.

You don't want the vendor-churn problem

If you build, you still depend on 5-8 vendor APIs (crawlers, SERPs, LLM providers, etc.). Their changes become your incidents. We absorb that churn for you.

03Red flags

Signs the decision is being made for the wrong reason.

⚑If a VP suggests building to "save money" — run the 3-year TCO with FTE costs included. The math rarely favors build.
⚑If a senior engineer suggests building for the resume — fine, but put it in the perf-review context, not the company ROI.
⚑If procurement blocks buying — negotiate the DPA and the security review. Don't let a procurement process push you to a six- or seven-figure build decision.

◆ THE HONEST SUMMARY

“Build if optimization is your product. Buy if optimization is a function you run.”

For 95% of growth teams, optimization is a function. Building is fun, but it's not the highest-leverage use of your engineering time. Run the 3-year TCO honestly, and the answer shows up.

Run the 3-year TCO Talk to a founder

◉ OR PILOT BOTH

Still want to build? Pilot us while you do.

90-day money-back guarantee, no questions asked. Use Optimize Pilot to ship wins today while you build your internal version. Worst case: you learn what to build.

Book a 15-min stack audit →

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Four real scenarios.

Optimization IS your product

If you're a CRO platform yourself, an attribution tool, or an analytics vendor competing in this space — building is obvious.

You operate at a scale where a seven-figure custom build is a rounding error

At 1,000+ FTE with mature internal platform teams, the cost calculus flips — especially if you have unique compliance or integration requirements.

You have idiosyncratic product architecture

Some products (games, industrial IoT, medical devices) don't fit off-the-shelf experimentation tools. Build when the fit is wrong at the domain level.

You already have the senior engineers available

If the engineers would otherwise be idle and the opportunity cost is low, building can make sense. Rare at growth-stage companies.

Four more common ones.

You're a growth team, not an infra team

The comparative advantage of a growth team is knowing the customer. Testing infrastructure is non-differentiating plumbing — outsource it.

You want the benchmark effect

Our recommendation engine gets smarter with every experiment shipped across our customer base. Your in-house version starts from zero every time.

You want testing velocity NOW

Live in days vs a 9-month build. Even if your v1 is better in some dimensions, you'll have shipped many tests in the time it takes you to ship the first feature.

You don't want the vendor-churn problem

If you build, you still depend on 5-8 vendor APIs (crawlers, SERPs, LLM providers, etc.). Their changes become your incidents. We absorb that churn for you.