StoreCensus

Most Popular Shopify Payments Apps (2026)

Ranked by total active installs across 2,211,114 Shopify stores. Updated weekly.

Last updated today (June 30, 2026)
All AppsAnalyticsDiscountsMulti-languagePop-upsMobile responsiveShippingCustom CSSTemplatesAutomations

Top 25 Payments Apps by Install Count

RankAppInstallsMarket Share90-Day Trend
1Afterpay On‑Site Messaging77,31989.5%+100.0%
2Clearpay On‑Site Messaging4,1994.9%+100.0%
3Deposit & Partial Payment Depo2,5953.0%+100.0%
4SPD Split Payment & Deposit1,1571.3%+100.0%
5Bread Pay Messaging7450.9%+100.0%
6Synchrony On‑Site Messaging1760.2%+100.0%
7Sezzle Widget1120.1%+100.0%
8UnumPay240.0%+100.0%
9Razorpay Affordability Widget210.0%+100.0%
10Komfortkasse offline payments80.0%+100.0%
11seQura On‑Site Messaging50.0%+100.0%
122Credit/Debit Card‑UseePay30.0%+100.0%
13WeGetFinancing Messaging30.0%+100.0%
14Appmax Antifraude30.0%+100.0%
15Cashfree BNPL Plus10.0%+100.0%

Key Insights

Target Stores Using These Apps

Build targeted prospect lists of stores using these popular payments apps.

Category Intelligence

Payments — Industry Overview

86,371
Total Installs
15
Apps Tracked
5,758
Avg Installs/App
15
Growing Apps
Category Trends

What This Means

The Payments category has 86,371 total installations across the top 15 tracked apps, with an average of 5,758 installs per app. The majority of apps in this category (15 of 15) are showing positive 90-day growth, indicating an expanding market.

Afterpay On‑Site Messaging leads the Payments category with 77,319 active installs, representing 90% of total category installations. This concentration is typical of mature app categories where network effects and brand recognition create durable competitive advantages.

Interpretations are based on observed StoreCensus data. Directional observations only - not financial or business advice.

Research Summary

Payments Apps: Key Findings

Based on StoreCensus tracking of 2,211,114 active Shopify stores.

Dataset Coverage

StoreCensus currently tracks:

Data is refreshed on a weekly basis and reflects observed platform activity across active ecommerce stores. StoreCensus detects app and plugin installations through storefront signature analysis including JavaScript signatures, API calls, and HTML markers — measuring current active installations, not historical download counts.

Research Methodology

How StoreCensus Collects This Data

Store Discovery

StoreCensus continuously discovers and indexes active Shopify storefronts globally. Our crawler identifies 2,211,114+ live stores through domain analysis, platform signals, and third-party data sources.

App Detection

App and plugin installations are detected through storefront signature analysis — including JavaScript bundle signatures, API endpoint patterns, HTML data attributes, and network request fingerprints. This identifies apps that are currently active, not merely historically downloaded.

Historical Tracking

Each store is re-scanned on a recurring basis. Historical snapshots are retained to calculate 30-day, 90-day, and year-over-year growth rates. This enables trend analysis that reflects actual merchant behavior over time, not just point-in-time counts.

Disclaimer: Estimated metrics (revenue, traffic) should be considered directional estimates rather than audited financial data. Active install counts reflect StoreCensus detection capability and may not capture 100% of installations for apps with non-standard implementation patterns.

Data Source: StoreCensus proprietary ecommerce datasets. Data Methodology
Research Notes

This page presents data from the Shopify Payments App Statistics proprietary StoreCensus dataset. Statistics may change over time as stores are discovered, removed, or updated in our index.

StoreCensus does not receive compensation from app developers or vendors for rankings or placement. All rankings are determined solely by observed installation data across tracked Shopify storefronts.

Last Updated: Publisher: StoreCensusUpdate Frequency: WeeklyCoverage: Global Shopify storefrontsHow We Calculate Statistics →
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