Creative R&D for DTC growth teams
Find better
things to test.
We plug into established DTC growth teams to uncover new customer angles, turn them into creative experiments, and use performance data to decide what to test next.
Can visual proof make a tactile product benefit believable faster?
The bottleneck
At scale, creative volume only compounds when the learning compounds with it.
More media spend creates more demand for creative. The hard part is keeping customer insight, creative strategy, production and performance learning connected as velocity rises.
Without that loop, more output can become expensive noise.
The next territory to explore is unclear.
Work starts from formats instead of questions.
Signals exist, but rarely compound in one place.
From question to experiment
Strategy is only useful when it survives contact with creative.
Illustrative experiment — not client work.
Compare first-3-second hold, click-through rate and conversion rate against the current softness-led control.
Then deepen, reframe, or kill the territory.Where we fit
An external Creative R&D layer for teams already shipping at scale.
We do not replace your media buyers, creators, designers or brand team. We add focused discovery and experimentation capacity around them.
Brand & product context
Media buying & channel operations
Internal creative workflows
Commercial priorities
Customer & category research
Hypothesis generation
Experimental creative production
Learning synthesis & next tests
What you get
Not a content subscription.
A learning system.
The unit of value is a better creative decision — then the capacity to execute it.
What deserves to be tested now, later, or not at all.
Concepts designed around a specific customer or performance question.
The execution layer to turn high-value hypotheses into market tests.
A compounding record of what worked, what did not, and what that teaches us.
Our rule
Every creative
should answer
a question.
Does a product demonstration make the benefit more believable than testimonial language?
The goal is not to predict the winning ad in a conference room. It is to make each test teach us something useful enough to improve the next decision.
Continuous operating cadence
The loop runs every week.
The system compounds every month.
Month one establishes the baseline. After that, research, creative development and learning run as a continuous operating cycle — not a once-a-month handoff.
Latest tests & customer signals
Highest-value questions
Multiple executions
Market signal → backlog
Consolidate learnings → update the knowledge base → expand winning territories → retire weak ones.
Founder
Systems thinking applied to creative growth.
DTC Performance Lab was founded by Alex Rybakov, a systems-trained operator with a background in optimization, brand strategy and marketing experimentation.
His research at MIPT focused on reducing the cost of testing marketing hypotheses before committing real traffic. The operating principle is the same: structure uncertainty, test deliberately, learn faster.
Founder profile on LinkedIn ↗Creative Gap Review
Let us show you the next
3 creative questions we’d test.
We’ll review your current creative library, customer language and category, then walk through the gaps we see, the first hypotheses we would prioritize and how we would turn them into experiments.
Request a Creative Gap Review ↗ Built for established DTC teams already running paid acquisition and shipping creative consistently.