Use cases/ Retail & E-Commerce/Loyal customers quietly cut their order frequency
Retail & E-Commerce

Loyal customers quietly cut their order frequency

Your retention cohort is shrinking and nobody is signaling why.

What it costs you today

You have a group of customers who used to buy monthly and are now buying quarterly. Your CRM flags the drop but gives you nothing to work with. You do not know if it is a life change, a competitor, a product dissatisfaction, or a budget cycle shift. You are sending discount codes into a void.

How RadRoot is used here

RadRoot sends a five-question adaptive check-in to customers whose purchase frequency has dropped more than 40% from their historical average. No discount, no urgency — just a genuine ask for their perspective, timed while they can still be retained.

The file you would upload

A Shopify - Customer Purchase History export export. One row is one customer account with purchase frequency decline. RadRoot reads the whole row, so every question can name something the person already knows is true.

Customer IDCustomer NameCustomer EmailFirst Order DateLast Order DateHistorical Avg Days Between OrdersCurrent Days Since Last Order
CUST-8847Monica Alvarezmonica.alvarez@pinehaven.example.com2024-03-122026-01-082889
CUST-9201Derek Huangderek.huang@streamside.example.org2024-01-192025-12-303178
CUST-7634Jennifer Kowalskijennifer.kowalski@brighton-co.example.net2023-11-052026-01-222695
CUST-10552Alan Briggsalan.briggs@meridian-tech.example.com2024-06-082026-02-013576
CUST-8903Priya Deshmukhpriya.deshmukh@oakmont.example.org2024-02-142026-01-192988

First 5 of 20 rows, first 7 of 13 columns. RadRoot interviewed the customer on each row, and 7 of 20 answered.

One interview, exactly as it ran

Six options every time, including the ones that reflect badly on whoever sent it. Each question was written after the answer above it landed.

Q1You last ordered your Lavender Body Butter in January, about 89 days ago. What best describes why you have not reordered since then?
Q2You mentioned you still have product on hand. How much of your past few orders would you say is still unused?
Q3Given that you have extra product built up, how did you feel about continuing to receive auto-replenish shipments?
Q4When you have used the product recently, have you noticed any difference in how it feels or performs compared to earlier orders?
Q5Are you considering switching to a different brand for this type of product, or do you plan to keep buying from us when you run low?

The verdict it produced

Written for whoever ran the campaign. The respondent never sees it.

Monica is a loyal customer whose frequency drop is purely an inventory problem. She has more than half of her last two shipments unused and feels stuck in an auto-replenish rhythm that outpaces her usage. The product quality is unchanged in her view, and she intends to continue buying once her backlog clears. Slowing or pausing her subscription until she signals readiness will prevent churn and restore satisfaction.

perceived quality change positive high confidence

Monica reports no change in how the Lavender Body Butter feels or performs.

inventory accumulation negative high confidence

Monica has more than half of her last two shipments still unused.

subscription fatigue negative high confidence

Monica felt stuck receiving product she did not need right away.

silent churn mixed high confidence

Monica has not reordered because she still has product left.

competitor shift positive high confidence

Monica intends to keep buying from Verdant Bloom once she uses up her current supply.

See this on your own data

Fifteen minutes, screen to screen. We run your real question through RadRoot while you watch, and you leave with the follow-up it wrote and a price.

Book 15 minutes Answer one yourself