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A growth engineering team

Find your next growth engine.

Your team is busy running what already works. Growthana figures out what comes next — we find the overlooked opportunities, run the experiments that prove them, and engineer the systems that make the winners repeatable.

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the usual playbook
niche community seeding operator newsletters partner API swap AI-built outbound
Growth that learns.
learning compounds ↗
What we do

How we find your next engine.

01 — Discover

Find the growth nobody's working.

Unworked opportunities that actually translate to revenue — the motions, audiences, and angles nobody in your category has claimed yet.

02 — Analyze

Let the data pick the bet.

Your marketing data already knows where the upside is. We go find the signal in it — not another dashboard.

spendtrafficsignalrevenue
03 — Experiment

Prove it before you scale it.

We design and run the tests — real hypotheses, real kill criteria — so you find out what works before you commit a budget to it.

variantstest → result
04 — Engineer

Build the engine that runs it.

A win that only works when someone runs it by hand isn't an engine. We find the marketing processes worth automating or AI-augmenting — and build them.

How we fit

Two ways in.

Growthana works with companies that have a growth team and companies that don't. The work looks different in each case.

You have a growth team

We go where they can't.

Your team is busy running what already works. We go after what comes next — the unworked opportunities, the new channels, the experiments nobody has the bandwidth to run. You keep the engine.

  • Net-new channel and motion tests
  • High-variance bets with real upside
  • AI-enabled plays your stack can't run yet
You don't have one

Then we're it.

You get a growth function that ships, without hiring one. We find the opportunity first, run the experiments to prove it, then engineer only what earns its place.

  • Opportunities prioritized by leverage
  • Measurement that tells you the truth
  • A running experiment cadence from week one
Services

Find the engine.
Then build it.

Choose the level of help you need.

Start here

Growth Assessment

We pull apart your data, channels, and customers and come back with the biggest unworked opportunities — ranked, with the experiments we'd run first and why.

Start with an assessment
Most picked
Focused build

Growth Sprint

Take the top opportunities from the assessment and go. We design the experiments, ship them, and build the system behind whatever wins.

Scope a sprint
Ongoing

Growth Partner

A standing experiment cadence, month after month. Compounding learnings and growth engines that keep running after we've built them.

Talk about a partnership

Simple pricing. Clear deliverables. No retainers for vague work.

Proof

Growth with signal.

1,081%
Lead spike, single launch

A healthcare hardware launch that broke through a crowded news cycle across clinical and consumer audiences.

300%
Purchase rate lift

AI personalization layer on an existing email program — dynamic content by behavior and buying stage.

1,000
Signups, day one

A new template launched into the right small-creator communities — first on the platform gallery the day it shipped.

400%
Paid revenue growth

A recommerce Halloween campaign built on how fast kids grow — buyers this year, sellers next.

EXPERIENCE ACROSS
HubSpot Poshmark Forward Coda Athelas
Questions

Q&A.

Straight answers. If yours isn't here, just ask.

What does Growthana do?

Growthana is a growth engineering team, not a traditional marketing agency. It combines growth marketing, data analysis, experimentation, and AI engineering to find overlooked growth opportunities, run experiments against them, and build the systems that make the successful ones repeatable.

Who does Growthana work with?

Growth-stage consumer and consumer-adjacent companies with meaningful revenue that have outgrown their obvious growth channels — seed to Series B startups, later-stage and bootstrapped consumer businesses, DTC and subscription brands, and vertical SaaS with consumer-like acquisition. The best fits have product-market fit, real customer data, and a large latent market, and their constraint is the lack of a scalable growth engine rather than basic funnel optimization.

Do you work with companies that already have a growth team?

Yes. When a company already has a growth team, that team is usually busy running what already works, so Growthana focuses on what comes next — the unworked opportunities, new channels, and experiments nobody has the bandwidth to run. When a company has no growth team, Growthana acts as the full growth function.

What is a growth experiment?

A growth experiment is a scoped test of a specific hypothesis about what will move a business metric. It has a clear hypothesis, a success threshold, a kill criterion, and a fixed timebox. The output is a validated learning — whether the result is a win or a loss.

How is Growthana different from a marketing agency?

A traditional agency executes marketing — paid ads, SEO, content, lifecycle — and sells hours and deliverables. Growthana is a growth engineering team: it discovers and engineers what should exist next. The goal is not more marketing activity or incremental funnel optimization, but new, repeatable growth mechanisms the company owns.

Do we need to explain AI to you?

No. AI engineering is part of how Growthana works — the team builds with AI tooling daily and does not need onboarding on the landscape, the model providers, or the market. Teams building in AI can skip the explainer and start at the growth problem.

How do engagements with Growthana start?

Most engagements start with a Growth Assessment that identifies the biggest unworked opportunities in the business. From there, a Growth Sprint runs the experiments against the top ones and builds what wins, or a Growth Partner engagement runs that cadence continuously month over month.

Start here

Get your growth assessed.

Company size

Tell us about your company. We'll come back with the three growth experiments we'd run first — and why we'd prioritize them.