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AI agent for e-commerce managers

Abandoned Cart Flow Testing Agent

Raise recovered cart revenue after discounts through a steady series of tests

Abandoned Cart Flow Testing Agent: what goes in, what the agent does and what you get

What it does

Most stores send the same cart recovery email for years and never learn whether a different timing or offer would recover more. This agent runs the tests. It reads cart data, such as abandon rate by value and product type, then proposes variants for timing, subject line and offer, and sets up a test so that each variant gets a fair share of shoppers. At set points it checks results, waits for enough data, and ends variants that are clearly weaker. It picks a winner using recovered revenue after discounts, not opens. It then proposes the next test. The manager approves each test and any discount. Edge case: a variant gets a lot of discount use but low margin. The agent compares profit, not revenue.

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
ApprovedYes, continueYes, continueNoNo 1 STARTS WHEN Monthly test cycle starts 2 USES A TOOL Read cart data and past test results 3 DOES Propose test variants for timing, subject and offer 4 DOES Estimate the shoppers needed for a reliable result 5 YOU APPROVE Manager approves the test and any discount 6 USES A TOOL Set up the test in the email tool with fair splits 7 DOES Check results at set points 8 CHECKS THE RESULT Is there enough data for a reliable difference? If not: Wait for more shoppers and check again at thenext point. Back to step 7. 9 DOES End weak variants and compare profit after discounts 10 CHECKS THE RESULT Does the leader beat the control on profit? If not: Keep the control and design a new test. Back tostep 2. 11 RESULT Winner report and next test plan
Read the steps as a list
  1. Monthly test cycle starts
  2. Read cart data and past test results
  3. Propose test variants for timing, subject and offer
  4. Estimate the shoppers needed for a reliable result
  5. Manager approves the test and any discountThe agent waits here for your OK.
  6. Set up the test in the email tool with fair splits
  7. Check results at set points
  8. Is there enough data for a reliable difference?If not: Wait for more shoppers and check again at the next point. Back to step 7.
  9. End weak variants and compare profit after discounts
  10. Does the leader beat the control on profit?If not: Keep the control and design a new test. Back to step 2.
  11. Winner report and next test plan

How it decides

A variant wins when it recovers more profit per 1,000 carts with statistical confidence. It stops variants with a clear loss after enough shoppers.

  • Need at least 1,000 carts per variant before judging
  • A variant is stopped when it is worse with 95 percent confidence
  • Compare profit after discount, not open rate
  • Never run two overlapping discount tests on the same shoppers

Make it yours

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

  • Minimum carts per variant (default 1,000)
  • Confidence level
  • Maximum discount
  • Test length cap
  • Metric to optimize

What keeps you in control

It always asks you first

  • Manager approves each test design and every discount level

Hard limits

  • Never launches a test or discount without approval
  • Does not send to people who unsubscribed

It stops when

  • Done: winner chosen and rolled out
  • Stop: results are unclear after the maximum test length, keep the control

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 happensThe control sends one email after 24 hours with no discount and recovers 6.1 percent. The agent tests a 1-hour reminder and a 10 percent offer at 48 hours. After 1,200 carts per arm, the 1-hour reminder reaches 8.4 percent while the offer arm reaches 9.0 percent but earns less profit. The manager approves the 1-hour reminder.

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