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.
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By Joris van Huët, Founder & CEOUpdated 3 min read
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 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
The one-time read has no alerting layer and no automated budget action, so there are no alert defaults to override. What the read returns is what each channel caused next to what last-click gave it, with a data-health score rather than a confidence interval, from a Google Analytics export, and the thresholds are yours to set outside it.
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
Frequently asked questions
Which vendor defaults should I change first?
The break-even threshold, which encodes a generic margin assumption; the attribution or lookback window, which encodes a generic consideration cycle; and alert sensitivity, which encodes how often the vendor thinks you want interrupting.Why record threshold settings outside the tool?
Because tools change defaults between versions, sometimes without announcement, and because when you switch tools the reasoning is the part worth carrying over. A settings screen is not documentation of why a number was chosen.How do I choose an attribution window for my brand?
From your own order data rather than a default. Your consideration and repeat intervals are visible in it, and a considered purchase and an impulse purchase should not share a window even though most tools ship with one.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Attribution WindowAttribution 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.
- ClickClick is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
- Confidence IntervalConfidence 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 AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.