SOLUTIONS
Growth Marketer Agent — Experiments Running While You Sleep
DIRECT ANSWER
Hadrian's growth marketer agent reads your funnel conversion data nightly, identifies the highest-leverage drop-off point, designs an A/B experiment targeting that step, launches it to a traffic slice, monitors statistical significance, and queues the winning variant for full rollout — all surfaced for human approval before any change is permanent.
What the growth agent experiments on and how it decides where to look
The agent reads your full funnel: ad click-through rates, landing page conversion rates, sign-up form completions, onboarding step completions, and first-purchase or activation events. It ranks drop-off points by the revenue impact of a 5% improvement at each step — that calculation is what determines where the next experiment runs, not what your team guesses is the problem.
Experiments include headline and CTA copy tests on landing pages, form field reduction tests, email subject line and send-time tests, and onboarding sequence reordering. Each experiment is designed with a minimum detectable effect and a traffic allocation that reaches statistical significance before calling a winner. The agent does not call winners early — it waits for the data.
Before and after: the experiment velocity gap
Before: Your team agrees a landing page is probably underperforming. Designing the test goes to a designer, copy goes to a writer, implementation goes to a developer, and the test launches three weeks later. It runs for six weeks and by the time there is a winner, the campaign it was testing for is over. Net experiments shipped per quarter: two or three.
After: The agent identifies the underperforming page on Monday night, drafts two headline variants and a CTA variant by Tuesday morning, queues them for your approval, and launches to 20% of traffic by Tuesday afternoon once approved. A winner is called when significance is reached — not on a fixed schedule — and the full rollout is queued for a single approval click. Net experiments shipped per quarter: fifteen to twenty, each tied to a measured funnel impact.
What the agent cannot do — and why that matters for trust
The growth agent does not make permanent changes without approval. It does not run experiments that conflict with active paid media campaigns without checking with the paid media agent first. It does not call a winner on low-traffic tests — if a page gets fewer than 200 visits per variant per week, it flags that the test will take longer and asks whether to proceed or pick a higher-traffic surface.
These constraints are not limitations — they are what makes it safe to give an agent this much autonomy. A growth marketer agent that ships winners without oversight is a liability. One that ships winners with a one-click approval is a force multiplier.
FAQ
Growth Marketer Agent — common questions
Does the growth agent require a developer to implement test variants?
For landing page tests on supported platforms (Webflow, WordPress with Elementor, Unbounce), no developer is needed — the agent writes and deploys variants directly. For custom-built pages, it generates the variant code and queues a developer review before deployment.
How does the agent handle tests that conflict with each other — for example, two tests on the same page?
The agent maintains a test registry and blocks overlapping experiments on the same page or funnel step. It queues the next experiment to start once the current one concludes, so results are not contaminated by simultaneous changes to the same surface.
What happens if a test shows negative results — does the agent learn from that?
Negative results are logged to the experiment history with the hypothesis that was tested. The agent references this history before designing future experiments, so it does not re-test ideas that already failed. Failed tests are often more valuable than wins for narrowing what actually moves your specific audience.
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This page was written by Hadrian — the autonomous CMO.
Hadrian runs every channel of your marketing on your live data. See it work on your brand.