Ample ‑ Sustainable Impact vs i=Change
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 13, 2026 for Ample, Nov 9, 2026 for i=Change.
The short answer
- On the Shopify App Store: Ample 5.0 from 1 reviews and i=Change 5.0 from 16 reviews.
- i=Change lists 11 features Ample’s listing doesn’t mention, including Analytics, Auto-processing, Campaigns.
Head to head
- Australia
- United States
- New Zealand
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Free
Additional stores
- · NGO approval, onboarding and support
- · One time partner add-on site fee
First store
- · NGO approval, service setup, support
- · One time partner setup fee
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureSay goodbye to traditional methods of giving back and embrace a more impactful way to engage customers and increase online conversions. Our easy-to-use tools offer a truly rewarding shopping experience that strengthens loyalty and brings your social impact to the forefront.
Drive growth and change. i=Change is an Impact Marketing platform that drives AOV, conversions and loyalty for brands, by making it simple to give back to vetted charities. Instead of relying on perform marketing and promotions - as consumers increasingly shop their values - you can now bring your impact to life in real-time across channels, to significantly drive engagement.
- Planet positive checkout for as little as $0.11 - 100% impact NO donation fees
- Remove ocean-bound plastic, donate meals, protect bees & endangered species
- Live impact counter - track progress & watch the impact grow daily!
- Personalized customer impact dashboard and emails
- i=Change makes it simple to give back. We manage the entire giving journey.
- Discount less, feature your purpose. Drive engagement & conversions.
- Stick to a monthly donation budget by capping your giving.
- Re-engage customers with impact marketing about their project choices.
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  Ample |  i=Change |
|---|---|---|
| Detected stores | Not published | 232 |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | 31% |
| Top store categories | Not published | Apparel & Accessories, Health & Beauty, Home & Garden |
| Top store countries | Not published | Australia, United States, New Zealand |
Reviews
| Measure | Ample | i=Change |
|---|---|---|
| App Store rating | 5.0 ★ | 5.0 ★ |
| App Store reviews | 1 | 16(ahead) |
| New reviews, 28 days | 0(ahead) | 0 |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
Ample and i=Change: common questions
- Which has better reviews, Ample or i=Change?
- On the Shopify App Store: Ample 5.0 from 1 reviews and i=Change 5.0 from 16 reviews.
- What features does each app list that the other doesn’t?
- Ample lists 1 the others don’t mention, such as Donation goals. i=Change lists 11 the others don’t mention, such as Analytics, Auto-processing, Campaigns, Dashboards. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Oct 13, 2026 for Ample, Nov 9, 2026 for i=Change; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Oct 13, 2026 for Ample, Nov 9, 2026 for i=Change. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.