Skip to content

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.

Three platforms, three answers, one budget to defend. Your GA4 export already holds the answer, and the first finding is free and never leaves your browser. Get your first finding free

By , 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

DefaultWhat it assumesWhy it is probably wrong for you
The break-even lineA generic marginYour margin, and which costs you count, differ
The attribution windowA generic consideration cycleYours depends on price and category
The alert sensitivityA generic tolerance for noiseYours 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.

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.

Have an audience of ecommerce operators? Earn 20% recurring commission by recommending the €99 read.

Keep reading

Terms in this article

Browse the full glossary

Your platforms guess.
We run the math.

Upload a GA4 export and see what each channel caused, next to last-click, in 1–2 minutes. The read is yours to keep.

The free finding runs in your browser. Your file never leaves it. The full read is €99, refundable within 30 days, no questions asked. Prices exclude VAT.