# Estimated delivery dates across the site: +22.4% conversion rate

- Outcome: Won
- Page type: Site-wide (Ecommerce)
- Elements: Shipping & delivery messaging
- Test run by: [Fenix Commerce](https://liftarchive.com/practitioners/fenix-commerce/)
- Commentary by: LiftArchive (our analysis, not theirs)
- Original source: https://www.shoplift.ai/success-stories/how-fenix-commerce-helped-rylee-cru-increase-conversion-rate
- Page: https://liftarchive.com/test/rylee-cru-estimated-delivery-date-messaging/

Showing location-based estimated delivery dates on product, cart and checkout pages raised conversion rate by 22.4% and revenue per visitor by 34.7% for children's clothing brand Rylee + Cru. Fenix Commerce, the vendor of the delivery date app, ran the test, and it was published as a Shoplift success story. New visitors showed the biggest lift.

## Result

**+22.4% conversion rate**

- Conversion rate: +22.4% site-wide.
- Revenue per visitor: +34.7%, and average order value: +15.9%.
- New visitors: conversion +37.3% and revenue per visitor +46.9%.
- The test ran for several weeks. No sample size or confidence level was shared.

## Control

The site showed no estimated delivery date to shoppers.

## Variant

An estimated delivery date, worked out from the shopper's location and shipping data, appeared on product pages, in the cart and at checkout.

## Why it likely won (our reading)

- Parents often buy kids' clothes for a set date, like a photo shoot or holiday. A clear delivery date answers whether it will arrive in time.
- With an average order of about $160, shoppers had more reason to hesitate, and removing doubt helps most on bigger orders.
- New visitors don't know the brand's shipping speed yet, which fits with their larger lift.

## Caveats

This is a vendor story about its own app, and no sample size or confidence level was published. The AOV lift is large for a shipping message, which is worth checking in your own test.

## How to run this test

- Hypothesis: If we show an estimated delivery date based on the shopper's location on product, cart and checkout pages, then conversion will rise because shoppers know their order will arrive when they need it.
- Primary metric: Conversion rate
- Guardrail: Revenue per visitor
- Guardrail: Late-delivery complaints
- Guardrail: Conversion rate for new visitors
- Who should test it: Stores where buyers often need items by a date: gifts, occasion wear, seasonal products. It only works if your delivery estimates are accurate; missed dates will cost trust.

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Credit: Fenix Commerce ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/rylee-cru-estimated-delivery-date-messaging/).
Usage: Free to use, quote and build on, with credit and a link: name the practitioner or organization that ran the test and link to its LiftArchive page. The results belong to the practitioners who ran and shared them; the summaries and commentary are LiftArchive's.