惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

A
About on SuperTechFans
小众软件
小众软件
WordPress大学
WordPress大学
Microsoft Azure Blog
Microsoft Azure Blog
Recent Announcements
Recent Announcements
博客园 - 三生石上(FineUI控件)
博客园_首页
N
Netflix TechBlog - Medium
IT之家
IT之家
H
Help Net Security
博客园 - 聂微东
Google DeepMind News
Google DeepMind News
罗磊的独立博客
T
Tailwind CSS Blog
F
Fortinet All Blogs
Hugging Face - Blog
Hugging Face - Blog
MongoDB | Blog
MongoDB | Blog
V
V2EX
量子位
云风的 BLOG
云风的 BLOG
爱范儿
爱范儿
博客园 - 司徒正美
The Cloudflare Blog
Engineering at Meta
Engineering at Meta

Show HN

Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
Shopify Attribution for Beauty & Fashion | Causality Engine
Causality Engine · 2026-06-18 · via Show HN

Most attribution is folklore.
We do the math.

Causal attribution for Shopify brands.
Upload your GA4 export, see which channels really drove revenue in 5–10 minutes. €99, pay-per-use.

Proprietary causal-inference model. No pixel. No SDK. No AI hype.

28%

Ad spend in channels last-click misattributed

4.7x

Hidden lift on channels you under-invest in

5–10 min

GA4 upload to per-channel causal answers

Works with the stack you already use

Interactive demo · For Ecommerce on GA4

See the math on a real dashboard.

Sample Ecommerce brand. Real causal model. Three minutes.
Enter your work email and we'll send you in.

We'll send you a link to save your demo session. No spam.

Before you scroll further

This is built for a very specific brand. Is it yours?

We don't serve everyone. We built a precision instrument for one type of e-commerce operator. If this list doesn't describe you, we just saved you a click.

Even if you secretly hate what it tells you.

You do €10k+ revenue per month.

Real revenue. Real ad spend. Real decisions to make.

You run more than 4 active marketing channels.

Meta, Google, TikTok, email, affiliate, influencer, at least four are live right now.

Every platform tells you to spend more on that platform.

Meta says scale Meta. Google says scale Google. Each one defending its own budget.

You suspect your dashboards are lying, the revenue never adds up.

Add up the platform-reported revenue, compare to your actual orders, and the numbers exceed reality by 30–60%.

Checked all five? You're in the right place.

Get the report

Email me the data when it drops.

Quarterly causal benchmarks across Ecommerce brands on GA4: paid, organic, email, brand, retention. Free. Citable. No filler.

We only use your email to send the report. EU data residency. Unsubscribe in one click.

Your platforms guess.We run the math.

Causal attribution for Shopify brands. Upload your GA4 export, see which channels really drove revenue in 5–10 minutes.

Full refund if you don't see the value. Used by 216+ Shopify brands.

Frequently asked

You have questions.
We have math.

I'm using GA4 and I don't trust the attribution numbers. What do I do?

Upload any historical period from your GA4 export. Our proprietary causal-inference model runs on it and within 5 to 10 minutes returns a per-channel view of which campaigns actually drove incremental revenue, not just which ones happened to be there at the click. €99, pay-per-use. No subscription, no setup call. Go Pro at €299/mo to unlock the cool stuff: automated GA4 ingestion (no more manual upload), insights that compound on each other over time, a chatbot for asking questions of your data, and a developer API so your marketing agents can pull insights in real time. Works for any ecommerce vertical, fashion and beauty brands were our launch users, but the model is vertical-agnostic. GA4 is enough today; the native Shopify integration is on the roadmap.

Wait, what even is attribution?

Attribution is how you figure out which of your ads actually led to a sale. Right now, most tools just credit the last ad someone clicked, even if they saw five other ads first. It's like giving all the credit to the waiter and ignoring the chef.

Why should I care if my attribution is wrong?

Because you're making spending decisions based on lies. If your dashboard says Meta is your best channel but it's actually TikTok creating the demand, you'll cut the thing that's actually working. Wrong attribution means wasted budget. Every single month.

My Shopify dashboard shows me sales. Isn't that enough?

Shopify tells you what sold. It doesn't tell you why it sold. Was it the Instagram ad they saw Tuesday? The Google search on Thursday? The email on Saturday? Shopify just sees the finish line. We show you the whole race.

I'm not technical. Can I actually use this?

If you can export a CSV from GA4, you can use Causality Engine. No code. No pixels. No 90-day onboarding. Upload the file, wait 5–10 minutes, see which channels actually cause sales. Native Shopify integration is on the roadmap but GA4 alone is enough today.

How is this different from what Meta and Google already tell me?

Meta says it drove the sale. Google says it drove the sale. TikTok says it drove the sale. They all take credit for the same purchase. We're the only ones who don't have an ad budget to protect. So we tell you the truth.