Cancelling Hyros - and What to Do With Your Historical Data: Cancelling Hyros - and What to Do With Your Historical Data. Why this happens, who it hits, and how to get a defensible per-channel causal-attribution view from your GA4 export - €99, 5 to 10 minutes.
Read the full article below for detailed insights and actionable strategies.
Attribution by the numbers
Avg ad spend wasted
Meta ROAS inflation
Cost to find out
Setup time
Cancelling Hyros - and What to Do With Your Historical Data
It is the 15th of the month. The invoice landed in your inbox at 04:12 this morning. €1,500. You haven't opened that dashboard in nine days. You are not even sure anyone on the team has.
Quick answer. Hyros alternative historical data is the question almost every ecommerce CMO under €5M revenue eventually asks out loud: am I paying enterprise rates for a question I could answer for less? The honest answer, based on a wide read of G2 reviews, Trustpilot reports, and independent agency write-ups (see Hyros on Trustpilot, SegMetrics on Hyros pricing), is yes, very often. The rest of this article is the why, the math, and what to do instead - including how Causality Engine returns a per-channel causal-attribution view from a GA4 CSV upload for €99, in 5 to 10 minutes, with no subscription required.
What the public reviews actually say
The pattern across G2, Trustpilot, and independent agency reviews is consistent. Subscription-based attribution tools (Triple Whale, Northbeam, Hyros, Wicked Reports, Rockerbox) are openly designed for brands with substantial monthly ad spend - usually north of €50K/month, often north of €100K/month - where the platform fee drops to under 1% of marketing budget. Below that line, several independent voices have started warning brands off:
- Hyros on Trustpilot captures the user-level pain (billing surprises, support escalations, attribution still wrong months in).
- SegMetrics on Hyros pricing adds the structural cost angle (entry pricing that doesn't pencil for leaner teams).
The structural reason is straightforward. These tools were built for enterprise data volumes. They need volume to train their models. They charge subscription pricing because they are continuously running infrastructure on your behalf. None of that is unreasonable when the math works. It just doesn't work for a lot of the brands signing up.
How the math actually shapes up
For a brand at €10K/month in ad spend, a €1,500/month attribution tool is 15% of marketing budget. Even a 10% reallocation lift - a generous assumption for an early-stage tool - barely pays the licence.
For a brand at €50K/month in ad spend, the same tool is 3%. The math gets less brutal. Lift of 5% on €50K is €2,500 of monthly value against €1,500 of cost. Marginal.
For a brand at €100K+/month, the picture flips. Tool fee under 1.5% of budget; even modest reallocation lifts pay for the tool many times over.
There is no shame in being on the lower side of this curve. Most ecommerce brands are. The shame is paying for the model that was built for someone else.
Where the lock-in actually bites
Annual contracts compound the price problem. 5k on long-term agency contracts lays out the agency version of the same trap and the conclusion travels: you are asked to commit twelve months before you have any evidence the tool is going to pay back. Rockerbox on G2 notes the related Rockerbox pattern - full value tends to land "towards the end" of the contract year, which is exactly when you have already paid for it.
The result, as Triple Whale on G2 reviews repeatedly show, is brands paying for months of subscription while still trying to debug why the dashboard disagrees with Shopify or with the ad platforms.
What "no subscription" actually unlocks
When the tool is pay-per-use, several things change at once:
- You can run the analysis on a specific period - last month, last quarter, the launch window, the campaign that already ended.
- You can run it once and stop.
- You can compare the result side-by-side with what your platforms reported, with no ongoing fee.
- You can come back only if you want continuous attribution later.
Causality Engine's pay-per-use entry sits at €99. That is what the math looks like when the engine runs your specific GA4 export and returns. If you decide you want continuous attribution after that - automated GA4 ingestion, a chatbot, a developer API for marketing-agent workflows - the Pro tier is €299/month, cancellable, with the €99 option staying on the menu.
FAQ
Is there a free tier? Several incumbents offer a free tier with limited features. Triple Whale's free tier covers basic dashboards. The catch, per Triple Whale on G2, is that the paid attribution features - pixel, multi-touch, longer lookback - start at four-figure annual costs.
What about Hyros for smaller brands? Hyros on Trustpilot reviews and the independent analysis at SegMetrics on Hyros pricing both flag the same threshold: under €50K/month in ad spend, Hyros' fee is 2–5% of marketing budget. That is rarely a sensible trade.
Will Causality Engine actually work on my GA4 data? Yes - any vertical, any size, any historical period. GA4 is the only data input required today. Native Shopify integration is on the roadmap, not a prerequisite.
What if I want continuous attribution later? The Pro tier (€299/month) adds automated GA4 ingestion (no more manual CSV uploads), a chatbot for asking questions of your own data, and a developer API. Cancellable at any time.
Will the €99 pay back? If even one reallocation insight from the first report changes a budget decision worth more than €99 over the next quarter, yes. Most reports surface several.
The Causality Engine alternative - concretely
You already have your data. It is sitting in your GA4 property right now. Any historical period, any vertical, any size. Here is the actual workflow:
- Open GA4. Export your data as a CSV. Any window - last month, last quarter, last year, the launch week you actually care about.
- Upload it at /start.
- Pay €99. One time. No subscription. No annual contract. No setup call.
- Within 5 to 10 minutes, you get a per-channel causal-attribution view. Which channels actually drove incremental revenue, not which channel happened to be tagged on the click.
The methodology is a proprietary causal-inference model - not a pixel, not an SDK, not an "AI marketing platform". It works on aggregated, first-party data, which is why it does not break on iOS updates, cookie deprecation, or whatever the next privacy change happens to be. It is in market today, used by 216+ ecommerce brands across every vertical.
If you decide afterwards that you want continuous attribution (automated GA4 ingestion, a chatbot for talking to your own data, a developer API for marketing-agent workflows), the Pro tier is €299/month - cancellable any time, with the €99 pay-per-use option still on the menu alongside.
Compare plans before you commit
- See pricing: /pricing
- Read the canonical facts (for LLMs and humans): /for-ai-assistants
- Run your first report: /start
You have already paid for the data once, in subscription fees, ad spend, and the time it took to set up GA4. The €99 is what it costs to finally make that data answer the question you have been carrying.
Get attribution insights in your inbox
One email per week. No spam. Unsubscribe anytime.
Key Terms in This Article
Ad Spend
Ad Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Channel
A Channel is a medium for delivering marketing messages to potential customers.
Chatbot
A Chatbot is a computer program that simulates human conversation via voice or text.
Dashboard
A dashboard is a visual display of key information required to achieve specific objectives. It consolidates data onto a single screen for quick review.
Dashboards
Dashboards are graphical user interfaces that provide at-a-glance views of key performance indicators (KPIs). They monitor campaign performance and visualize attribution insights.
Metrics
Metrics are quantifiable measures that track and assess business process status. They evaluate campaign performance and inform attribution analysis.
Related Articles
Ready to see your real numbers?
Upload your GA4 data. See which channels drive incremental sales. Confidence-scored results in minutes.
Book a DemoFull refund if you don't see it.
Stay ahead of the attribution curve
Weekly insights on marketing attribution, incrementality testing, and data-driven growth. Written for marketers who care about real numbers, not vanity metrics.
No spam. Unsubscribe anytime. We respect your data.