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AI agent for conversion rate optimization specialists

Landing Page A/B Test Planning Agent

A single-change test plan that is launched correctly and read at the right time

Landing Page A/B Test Planning Agent: what goes in, what the agent does and what you get

What it does

Tests are often launched with weak hypotheses, too many changes at once, or stopped too early. This agent reads the current page analytics and finds the biggest drop-off step. It drafts a hypothesis that changes only one thing, with variant copy. It checks the page's traffic against the sample size needed to detect the expected lift and sets a stop rule, such as a minimum run time and visitor count. If traffic is too low, it proposes a bigger change or a higher-traffic page. Once the test runs, it checks for significance and read-outs by device. If the result is inconclusive, it plans a follow-up test. The client approves launching and any winner going live. Edge case: a result driven only by one traffic spike day is flagged, not declared a win.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueApprovedNoNo 1 STARTS WHEN Test planning starts 2 USES A TOOL Read page analytics and find the biggest drop-off 3 DOES Draft a one-change hypothesis with variant copy 4 USES A TOOL Calculate the sample size needed and compare withtraffic 5 CHECKS THE RESULT Can the page reach the sample size in the allowedtime? If not: choose a bigger change or a higher-traffic page,then redraft. Back to step 2. 6 DOES Set the stop rule and metrics 7 YOU APPROVE Client approves launching the test 8 USES A TOOL Read results when the stop rule is met 9 CHECKS THE RESULT Is the result significant and not driven by onespike? If not: plan a follow-up test with a different change.Back to step 6. 10 YOU APPROVE Client approves putting the winner live 11 RESULT Test report and next test plan
Read the steps as a list
  1. Test planning starts
  2. Read page analytics and find the biggest drop-off
  3. Draft a one-change hypothesis with variant copy
  4. Calculate the sample size needed and compare with traffic
  5. Can the page reach the sample size in the allowed time?If not: choose a bigger change or a higher-traffic page, then redraft. Back to step 2.
  6. Set the stop rule and metrics
  7. Client approves launching the testThe agent waits here for your OK.
  8. Read results when the stop rule is met
  9. Is the result significant and not driven by one spike?If not: plan a follow-up test with a different change. Back to step 6.
  10. Client approves putting the winner liveThe agent waits here for your OK.
  11. Test report and next test plan

How it decides

It picks the step with the largest drop-off and traffic. A winner is declared only when the stop rule is met and significance reaches the set level.

  • Test only one change at a time
  • Do not read results before the minimum run time of 14 days
  • Require 95% confidence and the planned sample
  • Flag results driven by a single day

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Confidence level (default 95%)
  • Minimum run time (default 14 days)
  • Expected lift used for sample size
  • Which conversion goal to use

What keeps you in control

It always asks you first

  • Launching the test
  • Putting a winner live

Hard limits

  • Never launches a test or changes a page without approval
  • Never stops a test early

It stops when

  • Done: a validated result and plan for what comes next
  • Stop: traffic can never reach the needed sample

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA pricing page converted 2.4% with most visitors leaving at the plan table. The agent proposed changing only the headline and needed 9,800 visitors per variant, but the page had 3,000 a month. The sample check failed, so it moved the test to the product page with 11,000 visitors. After 16 days it showed a 14% lift at 96% confidence. The client approved the launch and winner.

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