Own your alert rules, not the vendor defaults: Vendor defaults are calibrated for a median customer who is not you. Three settings worth overriding on day one, and what each one is quietly assuming.
Read the full article below for detailed insights and actionable strategies.
Attribution by the numbers
iOS tracking loss
Google Brand cannibalization
Klaviyo overstatement
TikTok attribution lag
Default thresholds are calibrated for a vendor's median customer, and you are not the median customer. Three defaults are worth overriding before you use any tool in anger.
The three
| Default | What it assumes | Why it is probably wrong for you |
|---|---|---|
| The break-even line | A generic margin | Your margin, and which costs you count, differ |
| The attribution window | A generic consideration cycle | Yours depends on price and category |
| The alert sensitivity | A generic tolerance for noise | Yours depends on how much budget can actually move |
The break-even default
Almost every tool ships with a return threshold that is really a statement about margin. If your contribution margin is different from the assumed one, every signal it produces is calibrated wrong, in a direction you will not notice because the number looks plausible.
Compute yours, write it down, and put it in the tool. Which costs to include is a genuine decision, not a formula, and it is covered in the true ROAS guide.
The window default
Attribution and lookback windows encode an assumption about how long people take to buy. A brand selling a considered purchase and a brand selling an impulse purchase should not use the same one, and the default fits neither well.
Your own repeat and consideration intervals are visible in your order data. Use them.
The sensitivity default
Alert sensitivity encodes how often the vendor thinks you want to be interrupted. The right setting depends on how much budget you can realistically move in a week, which for most brands is less than the tooling assumes.
If you cannot act on a signal within the period it describes, the alert is not actionable and should be off. The broader case is in why real-time attribution alerts mislead.
Write the rules down outside the tool
Whatever you configure, record it in your own decision log: the threshold, the definition behind it, the date, and who agreed it. Two reasons. Tools change their defaults between versions, sometimes silently. And when you switch tools, the reasoning is the part worth carrying over, not the settings screen.
The habit is described in keeping the attribution record in your own workspace.
Where this product sits
There is no alerting layer here and no automated budget action, so there are no alert defaults to override. What the read returns is a per-channel estimate with its confidence interval, coverage share and design label from a Google Analytics export, and the thresholds are yours to set outside it.
€99 for a first read, refundable if it does not move a budget decision; unlimited uploads, direct integrations, developer API keys and the MCP server on Pro at €299 a month. The interactive demo shows the output with no signup.
The general rule
Any setting a vendor chose for you is a setting that encodes their assumptions about your business. Most are harmless. The three above are not, and they take an afternoon to fix.
Related answers
Get attribution insights in your inbox
One email per week. No spam. Unsubscribe anytime.
Key Terms in This Article
Analytics
Analytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Attribution Window
Attribution Window is the defined period after a user interacts with a marketing touchpoint, during which a conversion can be credited to that ad. It sets the timeframe for assigning conversion credit.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Confidence Interval
Confidence Interval is a statistical range of values that likely contains the true value of a metric. In marketing analytics, it quantifies uncertainty around estimates, indicating the precision of an outcome or causal effect.
Google Analytics
Google Analytics is a web analytics service that tracks and reports website traffic.
Related Articles
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
Ready to see your real numbers?
Own the budget? Upload your GA4 export and see which channels drive incremental sales, with confidence intervals, in minutes. Have to defend it? Start with the live demo and take the read to your CFO.
Full refund if you don't see value.
Stay ahead of the attribution curve
Weekly insights on marketing attribution, incrementality testing, and data-driven growth. Written for the person who owns the budget and the person who has to defend it.
No spam. Unsubscribe anytime. We respect your data.