Lebesgue: AI Marketing & LTV

Lebesgue: AI Marketing & LTV Logo

Built for Shopify

Lebesgue: AI Marketing & LTV

Rating

100

%

Recommended

(

2

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

7-Jan-21

Lebesgue: AI Marketing & LTV Logo

Built for Shopify

Lebesgue: AI Marketing & LTV

Rating

100

%

Recommended

(

2

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

7-Jan-21

Lebesgue: AI Marketing & LTV Logo

Built for Shopify

Lebesgue: AI Marketing & LTV

Rating

100

%

Recommended

(

2

reviews

)

Pricing

Free plan available. Free trial available.

Developer

Launched

7-Jan-21

Boost profit, marketing ROI & lifetime value (LTV) with real-time insights from AI Agents.

Lebesgue: AI Marketing & LTV scans your store analytics, Facebook ads, and Google ads performance to detect any mistake in your advertising strategy. It combines your data, your competitors' data, and overall marketing trends to tell you opportunities for improvement and growth. Find key industry benchmarks, improve your marketing content and forecast your revenue. Use customer lifetime value (LTV), retention, P&L analysis to improve your financial reporting. Track results with the KPI dashboard

Categories:

Ads, Analytics

Integrations:

Facebook ads, Google Ads, LTV, Fondue,Peel,Polar Analytics, Klaviyo,Shogun,Replo,Fermat, Postpilot,Yotpo,Zendesk,Alloy, Postscript,Gorgias,Inveterate, Triple Whale, Northbeam, Yotpo

Facebook ads, Google Ads, LTV, Fondue,Peel,Polar Analytics, Klaviyo,Shogun,Replo,Fermat, Postpilot,Yotpo,Zendesk,Alloy, Postscript,Gorgias,Inveterate, Triple Whale, Northbeam, Yotpo

Languages:

English

English

Filter Reviews

Operator reports

100

%

Recommended

(

2

reviews

)
ES

Eileen S.

Role:

E-commerce Manager

Category:

Jewelry & Accessories

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Apr 17, 2026

Years of use:

Less then 1 year

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 have just started using Lebesque and it is better by far than any other competitive intelligence technology I have used. I especially love asking Henri the AI assistant to analyze my business.

What was disappointing

If I could improve one thing it would be that when looking at competitors' emails you would see a visual line up of them rather than just subject lines.

ES

Eileen S.

Role:

E-commerce Manager

Category:

Jewelry & Accessories

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Apr 17, 2026

Years of use:

Less then 1 year

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 have just started using Lebesque and it is better by far than any other competitive intelligence technology I have used. I especially love asking Henri the AI assistant to analyze my business.

What was disappointing

If I could improve one thing it would be that when looking at competitors' emails you would see a visual line up of them rather than just subject lines.

Photo of Reviewer Isaac L.

Isaac L.

Role:

Other

Category:

Food & Drink

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Dec 3, 2024

Years of use:

Less then 1 year

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Valuable but not essential

What exceeded expectations

It has extremely well-calculated formulas because the founder is a mathematician.

What was disappointing

So far no disappointments. It's like having all the data like triple whale at a fraction of the cost.

Photo of Reviewer Isaac L.

Isaac L.

Role:

Other

Category:

Food & Drink

Shopify Plan:

Plus

Overall satisfaction

Very Satisfied

Dec 3, 2024

Years of use:

Less then 1 year

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Valuable but not essential

What exceeded expectations

It has extremely well-calculated formulas because the founder is a mathematician.

What was disappointing

So far no disappointments. It's like having all the data like triple whale at a fraction of the cost.

Related Apps

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: "" }