Instagram & Facebook MetaShop

Instagram & Facebook MetaShop Logo

Built for Shopify

Instagram & Facebook MetaShop

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

1-Jul-22

Instagram & Facebook MetaShop Logo

Built for Shopify

Instagram & Facebook MetaShop

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

1-Jul-22

Instagram & Facebook MetaShop Logo

Built for Shopify

Instagram & Facebook MetaShop

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

1-Jul-22

Bring your products in front of Facebook, Instagram, TikTok, X and Pinterest social audiences.

Boost your sales with seamless social commerce. Create and publish shoppable posts, stories, and reels across Instagram, Facebook, TikTok, Pinterest, X (Twitter), and Threads. By allowing customers to shop and pay through Shopify checkout directly within their favorite apps, you remove friction and increase conversions. Plus, save time with integrated scheduling and publishing tools that simplify your entire social strategy.

Categories:

Marketplaces, Ads

Integrations:

Checkout, Shopify Admin, Facebook API, Instagram API, Pinterest, tiktok, Twitter, WhatsApp

Checkout, Shopify Admin, Facebook API, Instagram API, Pinterest, tiktok, Twitter, WhatsApp

Languages:

English

English

Filter Reviews

Operator reports

100

%

Recommended

(

1

reviews

)
Photo of Reviewer Brandon P.

Brandon P.

Role:

Marketing

Category:

Health & Beauty

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Mar 9, 2026

Years of use:

More then 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

I like that I can see customer's journey, which organic content influenced someone to buy

What was disappointing

I would like an AI messenger in my store so customers can easily find products based on their interests.

Photo of Reviewer Brandon P.

Brandon P.

Role:

Marketing

Category:

Health & Beauty

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Mar 9, 2026

Years of use:

More then 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

I like that I can see customer's journey, which organic content influenced someone to buy

What was disappointing

I would like an AI messenger in my store so customers can easily find products based on their interests.

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: "" }