MarketingIntermediate

Weekly agentic CRO experiment loop

Use behavior data to identify one conversion bottleneck, draft a controlled experiment, and decide from evidence what to keep or reverse.

Setup time

2.5 hours

Time saved

3-7 hours

Best for

Growth teams, Ecommerce teams, SaaS founders, Product marketers

Tools

Splitsense, Basedash, PostHog, Figma Make, Notion

Quick answer

How does the “Weekly agentic CRO experiment loop” workflow work?

Agentic optimization can find patterns quickly, but traffic allocation, claims, pricing, and product changes need a human-owned hypothesis and stop condition. It takes about 2.5 hours, uses Splitsense, Basedash, PostHog, Figma Make, Notion, and follows 5 documented steps.

Published by GPTNavi Editorial TeamLast materially updated 2026-08-24

Built from public product information and practical workflow-design patterns. Verify current pricing, features, and policies with each provider.

Overview

Agentic optimization can find patterns quickly, but traffic allocation, claims, pricing, and product changes need a human-owned hypothesis and stop condition.

When to use this workflow

Pricing page

Signup funnel

Checkout flow

Product activation

Tools you need

Splitsense

Analytics

Freemium

Agentic conversion optimization platform that analyzes site behavior, identifies friction, drafts experiments, and monitors outcomes.

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Basedash

Analytics

Freemium

AI-native business intelligence platform for querying governed data, generating dashboards, and sharing trusted operational answers.

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PostHog

Analytics

Freemium

Product analytics platform for events, funnels, session replay, feature flags, and experiments.

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Figma Make

AI app builder

Freemium

Figma's AI-powered environment for turning product ideas and designs into interactive prototypes and working experiences.

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Notion

Workspace

Freemium

Workspace for docs, databases, calendars, SOPs, and team knowledge bases.

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Step-by-step workflow

Define the decision metric

Choose one primary conversion event, a guardrail metric, minimum evidence threshold, and the owner who can approve a change.

Tool used

Notion

Expected output

An experiment charter.

Inspect the funnel

Review trusted events and segments to identify a specific point of friction, not merely the lowest-converting page.

Tool used

PostHog

Expected output

A measurable friction hypothesis.

Ask for a governed analysis

Query the shared metric layer for related changes, cohorts, revenue context, and possible confounders.

Tool used

Basedash

Expected output

A verified analysis brief.

Draft one reversible test

Let the optimization agent propose a focused page or flow experiment, then edit it so the hypothesis, audience, and risk remain clear.

Tool used

Splitsense

Expected output

A human-reviewed experiment draft.

Visualize and decide

Create the tested state, review on desktop and mobile, then keep, revise, or stop the change based on the agreed evidence threshold.

Tool used

Figma Make

Expected output

A documented weekly decision.

Prompt templates

Experiment brief

Turn this conversion observation into one reversible experiment. Include evidence, audience, hypothesis, exact change, primary metric, guardrail, minimum sample or time window, risks, and stop condition. Observation: [paste]

Results review

Review this experiment result. State whether evidence supports keep, revise, or stop. Call out novelty effects, segment differences, tracking gaps, and the next smallest question. Results: [paste]