Blotout EdgeTag

Blotout EdgeTag Logo

Built for Shopify

Blotout EdgeTag

Rating

100

%

Recommended

(

1

reviews

)

Pricing

From $49.99/month. Free trial available.

Developer

Launched

24-Jun-22

Blotout EdgeTag Logo

Built for Shopify

Blotout EdgeTag

Rating

100

%

Recommended

(

1

reviews

)

Pricing

From $49.99/month. Free trial available.

Developer

Launched

24-Jun-22

Blotout EdgeTag Logo

Built for Shopify

Blotout EdgeTag

Rating

100

%

Recommended

(

1

reviews

)

Pricing

From $49.99/month. Free trial available.

Developer

Launched

24-Jun-22

Drive more sales in the post-cookie era by restoring customer identity.

Over half of third-party signal fidelity has been lost due to privacy changes by Apple and others, eroding marketing performance and attribution. Blotout builds your 1P ID graph amplifying your re-marketing via C-API and ESP providers driving significant ROAS on new and existing customers. Blotout takes minutes to set up and immediately increases your Event Match Quality score, driving down CPC, recovering lost carts, and delivering a powerful boost to your advertising ROI.

Categories:

Analytics, Ads

Integrations:

Checkout, Google Ads, Google Analytics 4, Klaviyo, Meta, Snapchat, TikTok

Checkout, Google Ads, Google Analytics 4, Klaviyo, Meta, Snapchat, TikTok

Languages:

English

English

Filter Reviews

Operator reports

100

%

Recommended

(

1

reviews

)
Photo of Reviewer Brian P.

Brian P.

Role:

E-commerce Manager

Category:

Sports & Recreation

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Jun 24, 2025

Years of use:

2-3 years

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Critical for me to do my job

What exceeded expectations

Blotout has been the best way for me to manage tracking pixels on my Shopify store. It boosted tracking substantially compared to the normal methods and it was super easy to set up.

What was disappointing

I have no issues with this app - it does exactly what I need it to do.

Photo of Reviewer Brian P.

Brian P.

Role:

E-commerce Manager

Category:

Sports & Recreation

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Jun 24, 2025

Years of use:

2-3 years

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Critical for me to do my job

What exceeded expectations

Blotout has been the best way for me to manage tracking pixels on my Shopify store. It boosted tracking substantially compared to the normal methods and it was super easy to set up.

What was disappointing

I have no issues with this app - it does exactly what I need it to do.

import * as React from "react" type Props = { name: string slug: string description: string image: string developer: string categories: string pricing: string launchedAt: string dateModified: string ratingValue: number ratingCount: number faqQ1: string faqA1: string faqQ2: string faqA2: string faqQ3: string faqA3: string faqQ4: string faqA4: string faqQ5: string faqA5: string } export function SchemaMarkup(props: Props) { const { name, slug, description, image, developer, categories, pricing, launchedAt, dateModified, ratingValue, ratingCount, faqQ1, faqA1, faqQ2, faqA2, faqQ3, faqA3, faqQ4, faqA4, faqQ5, faqA5 } = props const scriptContent = ` (function () { var ORIGIN = window.location.origin; var SAT = { "Very Satisfied": 100, "Neutral": 50, "Not Satisfied": 0 }; var AGG_NOTE = "Percentage of vetted Shopify merchants and agency operators who recommend this app, based on first-party reviews collected by app store research."; function read(root, key) { if (!root) return ""; var el = root.querySelector('[data-k="' + key + '"]'); return el ? el.textContent.trim() : ""; } function iso(v) { if (!v) return null; var d = new Date(v); return isNaN(d) ? null : d.toISOString().slice(0, 10); } function notes(text) { return { "@type": "ItemList", "itemListElement": [{ "@type": "ListItem", "position": 1, "name": text }] }; } var root = document.getElementById("asr-seo-data"); if (!root) return; var NAME = read(root, "name"); var SLUG = read(root, "slug"); if (!NAME || !SLUG) return; var PAGE_URL = ORIGIN + "/shopify-app-reviews/" + SLUG; function collectReviews() { var out = []; Array.prototype.forEach.call( document.querySelectorAll(".asr-review-seo"), function (n) { var author = read(n, "author"); var pos = read(n, "positive"); var neg = read(n, "negative"); if (!author || (!pos && !neg)) return; var r = { "@type": "Review", "author": { "@type": "Person", "name": author }, "itemReviewed": { "@id": PAGE_URL + "#app" } }; var d = iso(read(n, "date")); if (d) r.datePublished = d; var s = read(n, "satisfaction"); if (s && SAT.hasOwnProperty(s)) { r.reviewRating = { "@type": "Rating", "ratingValue": String(SAT[s]), "bestRating": "100", "worstRating": "0", "alternateName": s }; } if (pos) r.positiveNotes = notes(pos); if (neg) r.negativeNotes = notes(neg); out.push(r); } ); return out; } function buildGraph(reviews) { var app = { "@type": "SoftwareApplication", "@id": PAGE_URL + "#app", "name": NAME, "url": PAGE_URL, "applicationCategory": "BusinessApplication", "operatingSystem": "Web (Shopify)" }; var v; if ((v = read(root, "description"))) app.description = v; if ((v = read(root, "image"))) app.image = v.replace(/&/g, "&"); if ((v = read(root, "developer"))) app.author = { "@type": "Organization", "name": v }; if ((v = read(root, "categories"))) app.keywords = v; if ((v = read(root, "pricing"))) { app.offers = { "@type": "Offer", "price": "0", "priceCurrency": "USD", "description": v }; } if ((v = iso(read(root, "launchedAt")))) app.datePublished = v; if ((v = iso(read(root, "dateModified")))) app.dateModified = v; if (reviews.length) app.review = reviews; var rv = read(root, "ratingValue"); var rc = parseInt(read(root, "ratingCount"), 10); if (reviews.length && rv && rc > 0) { app.aggregateRating = { "@type": "AggregateRating", "ratingValue": String(parseFloat(rv)), "bestRating": "100", "worstRating": "0", "ratingCount": String(rc), "description": AGG_NOTE }; } var graph = [app]; var faq = []; for (var i = 1; i <= 5; i++) { var q = read(root, "faqQ" + i); var a = read(root, "faqA" + i); if (q && a) { faq.push({ "@type": "Question", "name": q, "acceptedAnswer": { "@type": "Answer", "text": a } }); } } if (faq.length) { graph.push({ "@type": "FAQPage", "@id": PAGE_URL + "#faq", "mainEntity": faq }); } graph.push({ "@type": "BreadcrumbList", "@id": PAGE_URL + "#breadcrumb", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": ORIGIN + "/" }, { "@type": "ListItem", "position": 2, "name": "Shopify App Reviews", "item": ORIGIN + "/shopify-app-reviews" }, { "@type": "ListItem", "position": 3, "name": NAME, "item": PAGE_URL } ] }); return graph; } function build() { var reviews = collectReviews(); var old = document.getElementById("asr-jsonld"); if (old && old.dataset.count === String(reviews.length)) return; if (old) old.remove(); var s = document.createElement("script"); s.type = "application/ld+json"; s.id = "asr-jsonld"; s.dataset.count = String(reviews.length); s.textContent = JSON.stringify({ "@context": "https://schema.org", "@graph": buildGraph(reviews) }); document.head.appendChild(s); } if (document.readyState === "loading") { document.addEventListener("DOMContentLoaded", build); } else { build(); } [300, 900, 2000].forEach(function (ms) { setTimeout(build, ms); }); })(); ` return ( <> {/* HIDDEN DIV – provjeri da li je ID tačan */} {/* SCRIPT TAG – OBAVEZNO zatvoren */} </> ) } SchemaMarkup.defaultProps = { name: "Naziv aplikacije", slug: "slug-aplikacije", description: "", image: "", developer: "", categories: "", pricing: "", launchedAt: "", dateModified: "", ratingValue: 0, ratingCount: 0, faqQ1: "", faqA1: "", faqQ2: "", faqA2: "", faqQ3: "", faqA3: "", faqQ4: "", faqA4: "", faqQ5: "", faqA5: "" }