◆ BUY VS BUILD

Should you roll your own?

The honest answer, with the numbers. Written for internal champions presenting this decision to a skeptical CTO or CFO. Most teams shouldn't build. A few should.

01The matrix

The decision, dimension by dimension.

DIMENSION
BUILD
BUY
LEANS
Cost (Year 1)
$380K – $720K (2 senior engineers + infra + vendor APIs)
$2,400 – $5,800 / yr depending on tier
BUY
Time to value
6-12 months to a working v1
< 14 days to first test shipped
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 benchmarks from 151+ customers 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 $2M/yr of custom work 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

A 14-day trial vs a 9-month build. Even if your v1 is better in some dimensions, you'll have shipped 24+ 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, the SSO requirement, the data residency. Don't let a procurement process push you to a $500K 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.

◉ OR PILOT BOTH

Still want to build? Pilot us while you do.

14-day free trial. Use Optimize Pilot to ship wins today while you build your internal version. Worst case: you learn what to build.

Book a demo