---
title: "For Daily Use Shopify App Profile"
description: "For Daily Use gives merchants a fair, automated way to sell limited products. Instead of a checkout race, customers enter a draw and winners are selected automatically. Orders are created and invoiced through Shopify, with unpaid orders reassigned to the next entrant. The entry form lives inside your theme with no development required. Each draw builds a tagged customer audience for future drops, with optional Klaviyo sync."
canonical_url: "https://shoplist.co/shopify-apps/for-daily-use"
markdown_url: "https://shoplist.co/shopify-apps/for-daily-use.md"
last_updated: "2026-10-22"
entity_type: "shopify_app"
slug: "for-daily-use"
source: "public Shopify app profile allowlist"
---

# For Daily Use Shopify App Profile

> For Daily Use gives merchants a fair, automated way to sell limited products. Instead of a checkout race, customers enter a draw and winners are selected automatically. Orders are created and invoiced through Shopify, with unpaid orders reassigned to the next entrant. The entry form lives inside your theme with no development required. Each draw builds a tagged customer audience for future drops, with optional Klaviyo sync.

## Quick answer
For Daily Use has 0 detected stores in Shoplist. This Markdown profile displays 0 public brand examples; it is not a complete customer list.

## Key facts
- Name: For Daily Use
- Monitoring status: First-adopter watch
- Developer: FDU
- Developer profile: https://shoplist.co/app-developers/ryanrward
- Shopify App Store URL: https://apps.shopify.com/for-daily-use
- Launch date: June 24, 2026
- Shoplist category: Marketing Automation
- Rating: 5
- Review count: 1
- Free trial signal: Yes

## Pricing summary
Lite \(Giveaways\): $9/month; Starter: $29/month; Growth: $59/month; Pro: $109/month

Shoplist has not yet found reliable public storefront evidence connecting a Shopify store to this app. This does not mean the app has no users. Some apps are new, admin-only, server-side, theme-independent, or otherwise difficult to detect from public storefront signals.


## Shopify App Charts
Placements in the week of November 9, 2026 (published Mondays; ranks are the published chart rows, not computed here).

| Chart | Rank | Change | Value | Chart page |
| --- | --- | --- | --- | --- |
| Pricing moves in Giveaways and contests | \#3 | = | 0 stores \(estimated\) | https://shoplist.co/shopify-apps/rankings/marketing-and-conversion-promotions-giveaways-and-contests/pricing-moves |

How the charts are built: https://shoplist.co/shopify-apps/rankings/methodology

## App Signals
As of November 9, 2026:

- Stores running it: 0, 0.0% of the stores Shoplist tracks
- Store movement, last 28 days: +0 new stores, +0 returning, −0 removed, net 0 (estimated; 2 days held out of movement)
- Primary App Store category: Giveaways and contests, #26 (14-day median position)
- Listing reviews: 1

## Public callouts
- Automatic invoicing. Winners receive a Shopify invoice the moment a draw closes.
- Every entry is bot-scored. Only verified customers make it to the draw.
- Entry form renders in your theme automatically. No development required.
- Klaviyo audience building. Turn every draw into a reusable customer audience.
## Shopify App Store categories
- Giveaways and contests

## Data note
Profile updated: October 22, 2026. This is the profile revision date, not a guarantee that every store was checked on that date.
Public snapshot built: 2026-11-09 12:12:19.940909\+00
Detection metrics refreshed: 2026-11-09 10:00:00.198215\+00
Public app evidence date: 2026-10-22 07:25:24.673639\+00
This generated Markdown profile intentionally exposes only public, stable app-profile fields and a small public app-stack sample from Shoplist. It excludes private contact data, people data, internal scores, crawl provenance, full datasets, and unstable operational fields.

## Related links
- [HTML app profile](https://shoplist.co/shopify-apps/for-daily-use)
- [Shopify apps directory](https://shoplist.co/shopify-apps)
- [Shoplist data methodology](https://shoplist.co/data-methodology.md)