When should I pause or stop a campaign?

Last updated: December 22, 2025

Marketer automatically optimizes campaigns by allocating spend to the best-performing ads.
That means campaigns are already given a fair chance to perform.

This guide explains when a campaign has had enough opportunity and when it’s time to pause or stop it.

First: give the campaign enough data

Before making a decision, make sure the campaign has:

  • Been active for several days

  • Spent enough to generate meaningful data

  • Reached a point where results are consistent, not random

Pausing before this point usually leads to wrong conclusions.

A simple rule of thumb

A campaign should usually generate at least 1–3 orders before being evaluated seriously.

If a campaign has spent:

  • Around 2–3× your product price with no conversions, or

  • Significantly more than your acceptable CPA without improvement

It’s reasonable to consider pausing.

When pausing makes sense

You should pause or stop a campaign if:

  • Spend is meaningful, but conversions are consistently low or missing

  • ROAS remains clearly below acceptable levels over time

  • Performance does not improve as spend increases

  • The product or offer is clearly not resonating

At this point, the campaign has likely shown its true potential.

When NOT to pause

Avoid pausing if:

  • Spend is still very low

  • Results vary heavily from day to day

  • The campaign has only been live briefly

These are signs that there is not enough data yet, not that the campaign is bad.

What to do after pausing

When a campaign is paused:

  • Use learnings to inform the next test

  • Consider testing a different product, angle, or offer

  • Avoid restarting the same campaign without changes

Pausing is not a failure—it’s part of the testing process.

Support and guidance

For customers on Pro or Performance plans, your CSM can help:

  • Confirm whether enough data has been collected

  • Decide if pausing is the right call

  • Suggest what to test next

Summary

  • Marketer already optimizes campaigns automatically

  • Decisions should be based on data, not patience alone

  • Evaluate after meaningful spend

  • Pause when results are consistently poor

  • Use learnings to improve future campaigns

Knowing when to stop is what allows you to move faster toward what works.