45 Shopify stores currently have Panda PreOrder‑Split Payments installed, representing 0.0% of all active Shopify stores.
At a glance: Panda PreOrder‑Split Payments is the #2,318 most-installed Shopify app of the 4,172 with active installs, and #31 of 39 in Pre-orders. It is most often installed alongside Instafeed ‑ Instagram Feed and Judge.me Product Reviews App. Its largest market is United States (22% of its stores).
Panda PreOrder‑Split Payments is installed on 45 of the 2,387,978 active Shopify stores worldwide tracked by StoreCensus. This makes it a notable player in the Pre-orders category.
Unlike the Shopify App Store's historical download counts, our data reflects current active installations. We detect Panda PreOrder‑Split Payments through storefront signature analysis across millions of stores, providing accurate real-time adoption metrics that matter for market analysis and competitive intelligence.
Over the past 30 days, Panda PreOrder‑Split Payments has lost 1 net installs, representing a -2.2% change from 46 installs. The 90-day trajectory shows decline of 6 installs (-11.8%).
Year-over-year, Panda PreOrder‑Split Payments has declined by 37.5%, moving from 72 installs to 45.
Panda PreOrder‑Split Payments shows strong adoption among established businesses, with 100% of users operating stores generating over $100K annually. The platform attracts a balanced mix across revenue tiers, though 0% of stores fall under $50K in annual revenue, indicating accessibility for emerging brands. The 7% penetration among $1M+ stores demonstrates enterprise-level trust, where merchants typically maintain complex tech stacks and face high switching costs.
| Revenue Tier | Stores | Percentage |
|---|---|---|
| $100K – $1M | 3 | 6.7% |
| <$100K | 42 | 93.3% |
Fashion & Apparel leads adoption at 27%, followed by Hobbies & Crafts at 11% and Sports & Outdoors at 9%. Together, these three verticals represent over half of Panda PreOrder‑Split Payments's install base. This concentration reflects industries where email marketing drives significant repeat purchase revenue through seasonal campaigns, product launches, and loyalty programs that benefit from sophisticated segmentation and automation capabilities.
22% of Panda PreOrder‑Split Payments stores are in United States, less than its 32% share of all Shopify stores. 13% of Panda PreOrder‑Split Payments stores are in Australia, more than its 4% share of all Shopify stores. 11% of Panda PreOrder‑Split Payments stores are in Canada, more than its 6% share of all Shopify stores.
Stores using Panda PreOrder‑Split Payments typically build comprehensive retention-focused tech stacks. 27% also use Instafeed ‑ Instagram Feed for social proof, while 24% pair it with Judge.me Product Reviews App for product reviews. The 24% overlap with Klaviyo: Email Marketing & SMS indicates merchants unifying customer communication across email, SMS, and support channels. This pairing pattern reveals stores prioritizing customer lifetime value optimization over one-time acquisition, with integrated tools for reviews, loyalty, and recurring revenue.
Panda PreOrder‑Split Payments competes in the Pre-orders category with 45 installs, compared to Amp Back in Stock & Preorder +'s 24,460.
| App | Installs | Market Share |
|---|---|---|
| Amp Back in Stock & Preorder + | 24,460 | 20.1% |
| Preorder, Back In Stock ‑ STOQ | 20,138 | 16.5% |
| Notify Me! Back in Stock Alert | 19,456 | 16.0% |
Install data shows market position by adoption — but organic discoverability is another dimension. See which keywords Panda PreOrder‑Split Payments ranks for in App Store search to understand its full competitive footprint.
As of November 8, 2026, 45 Shopify stores have Panda PreOrder‑Split Payments installed, representing 0.0% of all active Shopify stores tracked by StoreCensus.
Panda PreOrder‑Split Payments has lost 1 net installs over the past 30 days (-2.2% change) and lost 6 installs over 90 days (-11.8% change). Year-over-year growth is -37.5%.
Panda PreOrder‑Split Payments is most popular in Fashion & Apparel (26.7% of users), followed by Hobbies & Crafts (11.1%). The app is used across stores of all sizes.
StoreCensus updates Panda PreOrder‑Split Payments installation data weekly through continuous monitoring of 2,387,978+ active Shopify stores. We detect installations through storefront signature analysis, providing accurate current install counts rather than historical download numbers.
Panda PreOrder‑Split Payments holds a 0.0% market share in its category. To see how it compares to direct competitors, check the Market Position section on this page which shows install counts and market share for similar apps in the same category.
With 45 active installations, Panda PreOrder‑Split Payments is a growing solution. Consider the 90-day growth trend (-11.8%) to understand momentum, and review the industry breakdown to see if stores similar to yours use it. Always test on a development store first and check recent app store reviews for current user sentiment.
45 Shopify stores currently use Panda PreOrder‑Split Payments. This data is updated weekly based on continuous monitoring of 2,387,978+ active Shopify stores.
Build targeted prospect lists of stores using Panda PreOrder‑Split Payments. Filter by revenue, industry, country, and more.
Panda PreOrder‑Split Payments is installed on 45 of the 2,387,978 Shopify stores tracked by StoreCensus, representing a 0.00% market penetration rate. It is categorized under Pre-orders.
Panda PreOrder‑Split Payments is installed on 45 Shopify stores, representing 0.0% of all tracked stores. This adoption level reflects a focused user base within a specific merchant segment.
Over the past 90 days, Panda PreOrder‑Split Payments has lost 6 net installs (-11.8%). Negative 90-day momentum may reflect competitive pressure or merchant churn within the category.
Panda PreOrder‑Split Payments is frequently installed alongside Instafeed ‑ Instagram Feed and Judge.me Product Reviews App, suggesting merchants use it as part of a broader technology stack rather than as a standalone solution.
Interpretations are based on observed StoreCensus data. Directional observations only - not financial or business advice.
Based on StoreCensus tracking of 2,387,978 active Shopify stores.
How Panda PreOrder‑Split Payments relates to other apps in the Shopify ecosystem, based on co-installation patterns and category relationships.
Apps commonly paired with Panda PreOrder‑Split Payments
Apps merchants consider as alternatives
Co-installation data is derived from observed patterns across StoreCensus-tracked stores. Overlap percentages indicate the share of Panda PreOrder‑Split Payments users who also have the listed app installed.
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.
StoreCensus continuously discovers and indexes active Shopify storefronts globally. Our crawler identifies 2,387,978+ live stores through domain analysis, platform signals, and third-party data sources.
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.
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.
This page presents data from the Panda PreOrder‑Split Payments Installation 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.
