Testing & Optimization

Our Approach

We start by prioritizing hypotheses based on potential business impact. From there we design statistically sound test variants, run them against real traffic, and translate the results into a clear next decision.

Signs You Need This

• Design and content decisions are made by opinion or hierarchy, not evidence.
• You've run a handful of tests, but there's no ongoing, prioritized testing roadmap.
• Nobody on the team is confident interpreting whether a test result is real or just noise.
• Tests get planned but rarely launched, competing for time against everything else on the roadmap.

What You’ll Gain

• Decisions grounded in evidence instead of the loudest opinion in the room.
• A testing cadence that keeps running, rather than stalling after the first project.
• Statistically sound results your team can actually trust and act on.
• A documented history of what's been tested and learned, so nothing gets re-tested by accident.

How It Compares

Trellist brings statistical rigor and platform depth to an ongoing testing program, not a single campaign-driven test. That's different from running tests ad hoc inside a marketing team already stretched thin, and different from a generic CRO vendor whose recommendations aren't grounded in your specific platform and data.

Why It Matters

Companies with strong UX and testing discipline see conversion gains that compound over time; the harder-to-measure cost is the opposite — teams that skip structured testing keep re-litigating the same design debates without ever resolving them with evidence.

Related Case Study

Turning Investor Reading Habits into a Smarter Content Experience — A Case Study

Frequently Asked Questions

How long does a typical test take to reach significance?
It depends on your traffic volume — we'll tell you upfront what's realistic before committing resources to a test that won't resolve cleanly.

What platforms do you test on?
Most often Adobe Target, but we can work within whatever testing tool your team already uses.

What if a test shows no meaningful difference?
That's still a useful result — it tells you where not to keep investing, and a disciplined program treats a null result as real information, not a failure.

How many tests should we expect to run in a given month?
It depends on traffic and team bandwidth, but we scope a realistic, sustainable cadence rather than promising a number that stalls after month one.

Why Trellist

We bring the statistical discipline that turns testing from a nice-to-have into a real decision-making system.

Let’s Talk

Curious what a structured testing program could tell you?

Buyers: Marketing Operations, Revenue Operations, Demand Generation

Let’s Talk