Ecommerce Tech Stack Report 2026: What Top Stores Actually Run
The technologies, apps, and integrations most commonly detected on 16,438 verified ecommerce stores in 2026: review apps, analytics, payment processors, page builders, and more.
Dave TenThe 25 most common ecommerce technologies
This is the overall ranking across the full dataset. It reflects what stores install by default, what Shopify recommends, and what the ecosystem has converged on.
| # | Technology | Stores | % of dataset |
|---|---|---|---|
| 1 | Google Analytics | 13,091 | 88.1% |
| 2 | Shopify | 12,070 | 81.3% |
| 3 | Facebook Pixel | 9,627 | 64.8% |
| 4 | Klaviyo | 7,990 | 53.8% |
| 5 | Judge.me | 3,680 | 24.8% |
| 6 | Gorgias | 2,088 | 14.1% |
| 7 | Yotpo | 1,928 | 13% |
| 8 | Hotjar | 1,819 | 12.2% |
| 9 | Mailchimp | 1,492 | 10% |
| 10 | Attentive | 1,383 | 9.3% |
| 11 | Trustpilot | 1,272 | 8.6% |
| 12 | TikTok Pixel | 1,225 | 8.2% |
| 13 | Rebuy | 1,202 | 8.1% |
| 14 | Pinterest Tag | 1,175 | 7.9% |
| 15 | ReCharge | 879 | 5.9% |
| 16 | Stamped.io | 746 | 5% |
| 17 | Loox | 698 | 4.7% |
| 18 | Afterpay | 687 | 4.6% |
| 19 | Smile.io | 648 | 4.4% |
| 20 | Omnisend | 536 | 3.6% |
| 21 | Affirm | 514 | 3.5% |
| 22 | Postscript | 513 | 3.5% |
| 23 | WooCommerce | 502 | 3.4% |
| 24 | Okendo | 477 | 3.2% |
| 25 | Route | 427 | 2.9% |
What do high-traffic stores use differently?
The ranking changes when you filter to stores with 100K+ monthly visits. Some technologies become more prevalent at scale (enterprise analytics, A/B testing, advanced personalization), while others that are popular among smaller stores drop off.
| # | Technology | Stores (100K+) | % of 100K+ stores |
|---|---|---|---|
| 1 | Google Analytics | 4,089 | 91.1% |
| 2 | Shopify | 3,225 | 71.9% |
| 3 | Facebook Pixel | 2,704 | 60.3% |
| 4 | Klaviyo | 2,472 | 55.1% |
| 5 | Judge.me | 902 | 20.1% |
| 6 | Gorgias | 862 | 19.2% |
| 7 | Yotpo | 777 | 17.3% |
| 8 | Hotjar | 649 | 14.5% |
| 9 | Attentive | 641 | 14.3% |
| 10 | TikTok Pixel | 632 | 14.1% |
| 11 | Pinterest Tag | 522 | 11.6% |
| 12 | Trustpilot | 519 | 11.6% |
| 13 | Rebuy | 385 | 8.6% |
| 14 | ReCharge | 275 | 6.1% |
| 15 | Mailchimp | 255 | 5.7% |
| 16 | Afterpay | 237 | 5.3% |
| 17 | Twitter Pixel | 214 | 4.8% |
| 18 | Postscript | 208 | 4.6% |
| 19 | Stamped.io | 200 | 4.5% |
| 20 | Okendo | 197 | 4.4% |
| 21 | Affirm | 196 | 4.4% |
| 22 | Snapchat Pixel | 174 | 3.9% |
| 23 | Zendesk | 165 | 3.7% |
| 24 | Loox | 149 | 3.3% |
| 25 | Nosto | 147 | 3.3% |
Technologies that scale
These technologies are disproportionately more common among high-traffic stores, meaning their adoption rate among 100K+ stores is significantly higher than in the overall dataset:
- Attentive: 14.3% of high-traffic stores vs 9.3% overall
- TikTok Pixel: 14.1% of high-traffic stores vs 8.2% overall
- Twitter Pixel: 4.8% of high-traffic stores
- Snapchat Pixel: 3.9% of high-traffic stores
- Zendesk: 3.7% of high-traffic stores
This pattern makes sense. Smaller stores start with the basics (analytics pixel, one email tool), while stores at scale add layers of optimization (session replay, A/B testing, advanced segmentation, loyalty programs).
The "standard" DTC tech stack
Based on the data, the converging DTC stack in 2026 looks like this:
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Analytics: Google Analytics 4 is near-universal. Stores at scale add a session replay tool (Hotjar, FullStory, or Microsoft Clarity) and often a data warehouse connector.
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Email/SMS: One platform dominates (see the table above), with SMS as an add-on or built-in feature. High-traffic stores increasingly run a dedicated SMS provider alongside their email platform.
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Reviews: Almost every store in the top traffic tiers runs a reviews app. The specific product varies by price sensitivity, but the category is universal.
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Ad pixels: Meta Pixel and Google Ads conversion tags are on the majority of stores. TikTok Pixel adoption is growing rapidly, especially in apparel and beauty.
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Payment: Beyond Shopify Payments, the most common additions are BNPL (Klarna, Afterpay, Affirm) and PayPal. Luxury stores tend to offer fewer BNPL options.
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Page builder / customization: Many stores run a visual page builder to customize beyond what the theme provides. This is more common among mid-traffic stores than the very largest, who tend to have custom development.
Does the tech stack affect performance?
Yes, but the direction is the opposite of what you'd expect. Stores with more detected technologies tend to have higher traffic (they can afford the tools) but lower PSI scores (more scripts = more weight).
The average mobile PSI score across the dataset is 45. Every additional third-party script adds JavaScript that blocks rendering. The tradeoff is real: the tools that drive conversion (reviews, personalization, upsell widgets) also slow the page down.
The practical takeaway: don't install an app unless you can attribute revenue to it. Every tool has a page-speed cost. The stores with the best conversion rates aren't the ones with the most apps; they're the ones that kept only the apps that actually move the needle.
How is tech stack detected?
Adamir's enrichment crawler loads each store's homepage in Playwright and inspects:
- Script tags: analytics libraries, ad pixels, third-party widget loaders
- DOM markers: review widget containers, page builder signatures, chat widgets
- Meta tags: verification tags, platform integrations
- CDN paths: asset URLs that reveal the underlying service (e.g., Klaviyo's CDN, Judge.me's widget JS)
Each store's detected technologies are stored as a JSON array. This page aggregates across the full dataset. Only client-side, publicly visible technologies are detected. Backend-only tools (inventory management, ERP, shipping label generators) that don't inject anything into the storefront are invisible to this approach.
How to use this report
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If you're early-stage (under 10K visits): install only what's at the very top of the overall list. Analytics, one email tool, a reviews app. Nothing else until you have traffic to optimize.
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If you're scaling (10K-100K visits): compare your stack to the overall top 25. If a technology is on 30%+ of stores and you're not using it, investigate whether your competitors are.
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If you're at scale (100K+ visits): compare to the high-traffic table. Technologies that appear only at scale (advanced analytics, A/B testing, personalization engines) may be worth the investment now.
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For competitive intelligence: inspect what your direct competitors run. When a fast-growing competitor adds a new tool, it shows up in their storefront signals before they announce it.
To see exactly which stores lead in your vertical and what they run, check the per-category rankings: Apparel & Accessories, Health & Beauty, Home & Garden, Food & Drink, or Electronics.
Frequently asked questions
The most commonly detected technology across 16,438 stores is "Google Analytics" at 88.1% adoption. Among 100K+ traffic stores, "Google Analytics" leads at 91.1%. The full rankings are in the tables above (as of 2026-04-11).
The converging standard: Google Analytics 4, an email/SMS platform, a reviews app, Meta + Google ad pixels, and one or more BNPL payment options. Stores at scale add session replay, A/B testing, and personalization tools.
Yes, significantly. The ranking shifts when filtering to 100K+ traffic stores. Enterprise analytics, A/B testing, and advanced personalization tools appear more frequently at scale, while some tools popular among smaller stores drop off.
Yes. Every third-party script adds JavaScript that affects page load. The average mobile PSI score in the dataset is 45. Stores should only keep apps that demonstrably drive revenue, since each one carries a performance cost.
Adamir's crawler loads each store's homepage in Playwright and inspects script tags, DOM markers, meta tags, and CDN paths. Only client-side, publicly visible technologies are detected. Backend-only tools are invisible to this method.
It covers any client-side technology detectable on the public storefront, including Shopify apps with frontend widgets, generic analytics, ad pixels, payment SDKs, page builders, and CDN dependencies. Backend-only apps are not detected.
Filter Adamir Scout to your competitors' domains and inspect their detected tech stacks directly. You can also filter by category and traffic tier to see the most common tools among your peer set.
Tech detection refreshes on every re-crawl. Current snapshot: 2026-04-11.
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