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When I Paused Google Ads Entirely, and What Happened Next

By Ralph West  ·  August 9, 2026

Pause a Google Ads campaign when your blended CAC has exceeded your 90-day average by 20% or more for at least two consecutive weeks, and you cannot trace the spike to a seasonal or competitive event you already expected. That's the rule I use. Not gut feel. Not a bad Tuesday. A sustained, unexplained cost problem.

I learned this the expensive way on a DTC brand I ran from $100K to $3M in revenue. At month 14, I paused the entire Google Ads account for 30 days. On purpose. Here's what actually happened, and the framework I built from it.

The Day I Pulled the Plug

We were spending $42,000 a month on Google Ads. CAC had crept from $38 to $61 over six weeks. Nobody on the team could tell me why. Auction insights showed no new competitors. Search terms looked the same. Landing pages hadn't changed.

So I paused everything. Search, Shopping, Display, all of it. Not reduced budgets. Paused.

The board hated it. The founder called me twice that week. But I had a hypothesis: our organic and email channels were being propped up by paid search cannibalizing brand-name searches we'd have gotten anyway. I wanted to see the real baseline.

That 30-day pause told us something no dashboard ever had: roughly 60% of our "paid" conversions were incremental. The other 40% were people who would have found us anyway. That number changed how we bid for the next two years.

When to Pause a Google Ads Campaign: The Actual Triggers

Pausing isn't a panic button. It's a diagnostic tool. Here are the specific situations where I pull the trigger, based on running paid budgets from five figures to eight figures.

The Math That Should Trigger a Pause

Use this formula before you pause anything: Incrementality Estimate = (Baseline Revenue During Pause) / (Average Revenue During Same Period Pre-Pause).

If that ratio comes back above 0.85, meaning you're still capturing 85% or more of your normal revenue without spending on ads, you have a real cannibalization problem worth addressing permanently, not just during a test.

In our case, the ratio landed at 0.96 by week four. We had been effectively paying $42,000 a month to move 4% of revenue. That's not a rounding error. That's a strategy problem.

Run the same math on any campaign you're unsure about. Two weeks minimum. Four weeks is better, because week one always looks like a disaster and skews people back into panic-relaunching too early.

The Most Common Mistake: Pausing Too Fast, Panicking Too Soon

Most marketers pause a campaign the moment CPA ticks up for three days. That's not a pause decision. That's noise.

Google's algorithm needs a learning period after any significant change, typically 7 to 14 days, to re-stabilize bidding. If you pause and restart campaigns every time performance dips slightly, you never let the system settle. You end up permanently stuck in the volatile early-learning phase, which is often where CPA looks worst anyway.

I've watched account managers pause and unpause the same campaign four times in a month chasing a ghost. Each restart resets learning. Each reset makes performance worse. It's a self-inflicted spiral.

Before you pause, ask three questions:

If you can't answer yes, yes, and yes, don't touch the pause button yet.

What I'd Tell Someone Staring at Their Dashboard Right Now

If your Google Ads account has been quietly getting worse for two weeks and you can't explain why, pause it. Not to punish the channel. To get a clean read on your baseline.

Set a start date and an end date before you pause anything. Two to four weeks. Write down what you expect to see. Then actually compare the numbers instead of trusting your gut about how it "felt."

The pause isn't the strategy. The measurement during the pause is the strategy. Most people skip that part and just turn the ads back on the moment revenue dips, which tells them nothing.

Do the math. Trust the ratio, not the anxiety. That's the whole method.

RW

Ralph West

Marketing executive with 20+ years running growth for DTC, B2B, and enterprise. Managed a $10M budget on a $2.2B infrastructure build, scaled a DTC brand from $100K to $3M+, and now runs a daily AI agent stack for marketing operations. See the work.