Growth marketing: experiments, content, and measurement to grow

Growth marketing is a way to grow through measurable experiments across acquisition, activation, conversion, retention, and referral.

It's not about trying things at random. It's about turning hypotheses into small campaigns, measuring them, and scaling what proves to have an impact. The term gained traction from the AARRR framework (acquisition, activation, retention, referral, revenue) and from startup teams that needed to grow fast on a limited budget, but today it's also applied at established companies that want to reduce the role of intuition in their marketing decisions.

How a growth cycle works

1. Spot an opportunity.
2. Formulate a hypothesis.
3. Design an experiment.
4. Create assets.
5. Launch with tracking.
6. Measure.
7. Decide: scale, iterate, or discard.

What an experiment needs

• an objective,
• a primary metric,
• a segment,
• a channel,
• a creative asset,
• a duration,
• a success criterion,
• an owner.

Without these elements, the experiment becomes just one more action.

Content and assets in growth

Experiments usually require landing pages, emails, ads, videos, screenshots, forms, and messages. If those assets aren't organized, the team duplicates work and loses learning.

Polimake Media helps centralize resources and versions. Polimake Studio helps organize experiments by date, status, and owner.

Common KPIs

• conversion rate,
• cost per lead,
• activation,
• retention,
• referral,
• learning velocity,
• winning experiments per month.

Example of an experiment

Hypothesis: "if we show a visual demo before the form, we'll increase the conversion of qualified leads."

Design:

• create a landing page variant,
• produce a short video,
• send traffic from a small campaign,
• measure conversion and lead quality,
• compare against the current landing page.

If it wins, scale it. If it doesn't win, document the learning. The important thing is that the decision doesn't depend on opinions, but on evidence.

Frequently asked questions

Is growth marketing only paid ads?

No. It can include SEO, product, email, referrals, content, onboarding, and sales.

How many experiments should you run?

As many as you can measure well. A few clear experiments are better than many tests with no learning.

What's the difference from traditional marketing?

Growth puts more emphasis on hypotheses, data, iteration, and fast learning. Traditional marketing may focus on large campaigns planned months in advance; growth builds on short cycles and cumulative learning. Neither excludes the other: a brand can keep its annual narrative while also running weekly experiments on specific channels.

Who should run the experiments?

It works best with small, cross-functional teams: marketing, product, analytics, and design working from the same backlog of hypotheses. When experiments are split across departments without coordination, the learnings stay siloed. To scale the system without losing rigor, look at how it fits with the phases of an advertising campaign and with commercial planning, because without clear business objectives, experiments can optimize metrics that don't affect revenue.