Can I vibe code Hyros?
hyros.com · ad-attribution-tracking · $499/mo · tiered
The verdict
NOT REALLY — THE UI ISN'T THE MOAT
What you pay Hyros $499+/mo for is not the attribution dashboard—it is the server-side identity resolution stack that feeds targeted conversion signals back into Meta and Google algorithms. Building a basic script that logs UTMs to a database and runs linear or last-touch attribution takes two weeks of development. What is difficult is bypassing browser tracking protections (Safari ITP, iOS ATT), maintaining identity graphs via email hashes/IPs, and syncing with Meta CAPI and Google Ads Offline Conversions without losing events. For stores spending under $30k/mo on ads, an in-house tracker or PostHog setup is fine, but high-spend operations pay for the ad network integration stability.
- Replaces
- $799/mo
- MVP build time
- 2 weeks
- Full replacement
- 6-12 months, due to identity resolution and ad network API maintenance
- Verdict
- NOT REALLY
What it really costs
| Small | $499/mo | Up to $40k/mo tracked revenue |
| Growth | $799/mo | Up to $100k/mo tracked revenue |
| Scale | $1,499/mo | Up to $300k/mo tracked revenue |
Billed in tiers based on tracked annual ad spend or revenue.
- Captured
- 2026-08-06 (1 days ago)
- Verified by
- crawler
- Source
- hyros.com
Assumptions: Billed in tiers based on tracked annual ad spend or revenue.
The one-shot build prompt
Build a self-hosted ad tracking and multi-touch attribution system using Next.js, PostgreSQL (Supabase), and Tailwind CSS.
1. DATA MODEL:
- Create tables for: 'clicks' (id, anonymous_id, user_email_hash, utm_source, utm_medium, utm_campaign, utm_content, gclid, fbclid, referrer, ip_address, user_agent, timestamp), 'orders' (id, shopify_order_id, user_email_hash, total_amount, currency, timestamp), and 'ad_spend' (date, platform, campaign_id, spend).
2. INGESTION SNIPPET & ENDPOINT:
- Write a lightweight, Vanilla JS tracking snippet. On page load, it extracts all URL parameters (UTMs, gclid, fbclid), reads/sets a persistent 1-year first-party cookie ('_app_tracker_id'), and POSTs JSON to `/api/v1/track`.
- Express/Next.js API route `/api/v1/track` logs click events to PostgreSQL. Store SHA-256 hashed IP and user agent for basic identity matching.
3. SHOPIFY ORDER WEBHOOK & ATTRIBUTION MATCHING:
- Create a webhook receiver at `/api/webhooks/shopify-order`.
- When a purchase occurs, extract the buyer email (hashed with SHA-256), total amount, and customer cookie if passed in note attributes.
- Run identity resolution: match the order to prior click records using email hash, cookie ID, or IP address within a 30-day lookback window.
- Compute attribution across three models: First-Touch, Last-Touch, and Linear (equal weighting across all matched clicks).
4. META CAPI SYNC:
- When an order is attributed, construct a Meta Conversion API (CAPI) event payload containing hashed email, phone, IP, user_agent, fbclid, order value, and currency.
- POST the event payload to Meta Graph API `https://graph.facebook.com/v18.0/{pixel_id}/events` with appropriate event_time and deduplication event_id.
5. DASHBOARD & REPORTING UI:
- Build a dashboard showing Total Revenue, Total Spend (manually input or API fetched), ROAS, and Cost Per Acquisition (CPA).
- Include a table breaking down campaigns by Source/Medium, showing First-Touch, Last-Touch, and Linear attributed revenue side-by-side.
OUT OF SCOPE:
- Phone call tracking, custom mobile app SDKs, and complex rule-based fraud detection. Focus solely on web click-to-purchase e-commerce flow.$ each button prefixes agent-specific run instructions · build your own product, never copy proprietary code, trademarks or designs
Scorecard
What you can actually replace
- ✓First-party JS snippet for URL parameter and UTM capture
- ✓First-touch, last-touch, and linear multi-touch attribution modeling
- ✓Shopify order webhook processing and revenue mapping
- ✓Meta CAPI and Google Ads offline conversion payload generation
- ✓Ad spend aggregation dashboard via ad platform REST APIs
What you lose
- ×Cross-device deep identity graph and proprietary fingerprinting algorithms
- ×Managed CNAME proxy setup to bypass ad blockers and browser restrictions
- ×Automated feedback loops engineered to train Meta and Google ad delivery AI
- ×Turnkey maintenance of ad platform API schema breaking changes
- ×Call tracking and high-ticket phone sales rep attribution pipelines
Why people still pay — the real moats
Moats
- — Integration surface area across ad networks, payment gateways, and CRMs
- — Identity resolution heuristics refined over millions of buyer profiles
- — Ad platform algorithm optimization feedback loops
Hard parts
- — Bypassing Safari ITP and browser tracking limits using CNAME first-party cookie proxying
- — Accurate event deduplication between browser pixels and server-side webhooks
- — Handling cross-channel ad spend API rate limits and multi-currency conversions
- — Identity stitching across IP changes, user-agent switches, and hashed email inputs
- — Maintaining compliance and API parity as Meta, TikTok, and Google update conversion schemas
- — Managing a high-throughput event processing pipeline without dropping click data during traffic spikes
- — Ensuring strict GDPR/CCPA PII hashing compliance for all stored customer data
- — Debugging attribution discrepancies between native ad platforms and custom databases
Build this instead
Lightweight First-Party Tracker & CAPI Gateway
Deploy a custom JS snippet hosted on your domain that sets first-party cookies, logs UTM parameters, and forwards Shopify purchase events directly to Meta CAPI via Node.js.
SQL Data Warehouse Attribution Pipeline
Run dbt models over raw website click events and Shopify order tables to produce first-click, last-click, and linear attribution reports in Metabase.
Ad Spend Sync Service
Set up automated Python scripts to pull daily ad spend and performance metrics from Facebook, Google, and TikTok APIs into a PostgreSQL database.
Prior art — do not start from zero
Open source alternatives to Hyros
Self-hostable projects that cover most of the same ground. Free licence, your infrastructure, your on-call.
Have you actually replaced it?
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FAQ
+Can I really replace Hyros with an AI-generated app?
HARD — FIRST-PARTY TRACKING IS EASY, KEEPING UP WITH BROWSER PRIVACY IS A NIGHTMARE. You can write a basic attribution script and Meta CAPI integration in a weekend. However, Hyros's actual value lies in cross-device identity stitching, CNAME proxying to beat Safari ITP, and feeding optimized conversion signals back to ad platforms. An MVP takes roughly 2 weeks; matching the product properly is closer to 6-12 months, due to identity resolution and ad network API maintenance.
+How long does it take to rebuild Hyros?
A usable internal version: 2 weeks. A version you would sell or bet a business on: 6-12 months, due to identity resolution and ad network API maintenance, mostly spent on bypassing safari itp and browser tracking limits using cname first-party cookie proxying.
+What do you actually lose by leaving Hyros?
Cross-device deep identity graph and proprietary fingerprinting algorithms Managed CNAME proxy setup to bypass ad blockers and browser restrictions Automated feedback loops engineered to train Meta and Google ad delivery AI
+Is it legal to build a Hyros alternative?
Building a competing product with your own code is normal competition. Copying their code, trademarks, brand assets or scraping their platform is not. Use the prompt to build your own implementation of common features.
Written by EcomReStack research agent — 18 years in the Magento ecosystem. Last reviewed 2026-08-06.
Scores are computed, not typed. Read the methodology.
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