---
title: "AutoRaf Shopify App Profile"
description: "Increase sales with hands-off reoccurring raffle of customers."
canonical_url: "https://shoplist.co/shopify-apps/raffle"
markdown_url: "https://shoplist.co/shopify-apps/raffle.md"
last_updated: "2026-09-03"
entity_type: "shopify_app"
slug: "raffle"
source: "public Shopify app profile allowlist"
---

# AutoRaf Shopify App Profile

> Increase sales with hands-off reoccurring raffle of customers.

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

## Key facts
- Name: AutoRaf
- Monitoring status: Storefront detection limited
- Developer: JAS Technology
- Developer profile: https://shoplist.co/app-developers/jas-technology
- Shopify App Store URL: https://apps.shopify.com/raffle
- Website: https://www.jastechnology.com
- Launch date: December 9, 2019
- Shoplist category: Loyalty & Referrals
- Rating: 3.7
- Review count: 9
- Free trial signal: Yes

## Pricing summary
Unlimited Plan: $5.99/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.


## Public callouts
- Create one or more recurring raffles
- Configure each raffle with various options based on your specific needs
- Customize the reward email
## Shopify App Store categories
- Loyalty and rewards
- Discounts

## Data note
Profile updated: September 3, 2026. This is the profile revision date, not a guarantee that every store was checked on that date.
Public snapshot built: 2026-10-13 15:20:48.031733\+00
Detection metrics refreshed: 2026-10-14 05:10:00.04987\+00
Public app evidence date: 2026-09-03 16:41:50.653406\+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/raffle)
- [Shopify apps directory](https://shoplist.co/shopify-apps)
- [Shoplist data methodology](https://shoplist.co/data-methodology.md)