50 Grok Agents for e-commerce and A/B Testing

Find purchase objections in reviews, support tickets and surveys.

Look for repeated questions about sizing, delivery, returns and product use.

2/ Find the friction

Use analytics and session notes to see where shoppers get stuck.

Check abandoned forms, repeated clicks and the steps where people drop off.

3/ Build the hypothesis

Connect each proposed change to evidence and a specific customer behavior.

Make clear what you want to change and why it could help shoppers buy.

4/ Prioritize the backlog

Rank opportunities and check what you can realistically test.

Consider the evidence, available traffic and implementation effort.

5/ Define the experiment

Choose your primary metric and guardrails before launch.

Write down what you need to learn and how you’ll assess the outcome.

6/ Prepare the handoff

Turn the hypothesis into copy and clear developer requirements.

Specify what changes, where it appears and what needs to work across devices.

7/ Check the setup

Review tracking, implementation and traffic allocation.

Investigate broken events or unexpected splits before trusting the results.

8/ Make the decision

Assess the results and commercial impact. Keep inconclusive results inconclusive.

Use the experiment report to decide what to keep, revisit or investigate next.

9/ Capture the learning

Document what happened and use it to shape the next test.

Keep the evidence and limitations attached so your team can build on the findings.

I put all 50 AI prompts into a copy-and-paste library, organized into 10 categories, with 3 workflows to get you started.

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