---
title: "How to Protect Smart Bidding From Spam Conversions in Google Ads"
serpTitle: "How to Protect Smart Bidding From Spam Conversions in Google Ads"
description: "Learn how to detect spam conversion spikes in Google Ads, trace them to the offending search term, and stop fake leads from misleading Smart Bidding."
date: "2026-07-21"
lastmod: "2026-07-22 05:45:28 +0000 UTC"
author: "Vimal Bharadwaj"
authorTitle: "SEO & Content Manager"
authorCompany: "Optmyzr"
url: "https://www.optmyzr.com/blog/protect-smart-bidding-from-spam/"
categories:
  - "Paid Search"
  - "Strategy"
featured_image: "/forestry/how-to-protect-smart-bidding-from-spam-conversions-in-google-ads.png"
---

# How to Protect Smart Bidding From Spam Conversions in Google Ads

> Learn how to detect spam conversion spikes in Google Ads, trace them to the offending search term, and stop fake leads from misleading Smart Bidding.

**Author:** Vimal Bharadwaj | **Published:** July 21, 2026

**Categories:** Paid Search, Strategy

---

Recently, a lead-gen agency that mostly works with home builders shared this with one of our salespeople: a bot finds one search term overnight, and by morning a community has around 50 new conversions:

> *"All of a sudden a community will have 50 conversions on that and it'll just be, you know, it's spam is what it is, where some bot has ran through and is using that to convert."*

Most PPC managers watch for drops: conversions fall, cost per acquisition climbs, and you take notice. But a spike doesn’t trigger the same alarm. It looks like good news, which might hide a big problem.

---

## Why a spike is more dangerous than a drop

A drop announces itself. But a spike doesn't, because nothing about it looks wrong. Smart Bidding has no built-in way to tell a real form fill from a bot filling out the same form fifty times before breakfast, <a href="https://seresa.io/blog/attribution-measurement/form-spam-is-training-google-ads-to-chase-bots" target="_blank" rel="nofollow noopener">a pattern others have documented</a> as form spam poisoning the bidding signal. Every one of those fifty gets counted, and the algorithm reads all of them as demand.

So the account doesn't fail quietly. It succeeds loudly, on the wrong signal, and by the time cost per lead looks off, Smart Bidding has already had days to bid up that pattern. Catching the spike before the algorithm learns from it is the whole game.

Here’s how to catch the spike early, trace it to the source, and stop it from affecting future bidding decisions.

---

## Step 1: Set an alert for increases, not just decreases.

Most monitoring is tuned to catch things getting worse, which is the wrong bar here. Optmyzr's default <a href="https://help.optmyzr.com/en/articles/5595430" target="_blank" rel="noopener">Anomaly Alerts</a> run automatically on every connected account, but they watch cost, impressions, and clicks, but not conversions. And this exact spike would sail right past them.

So, the tool built for this is the <a href="https://help.optmyzr.com/en/articles/3120951" target="_blank" rel="noopener">Anomaly Detector</a>, an enhanced script that does monitor conversions, with a sensitivity threshold you set yourself, flagging movement in either direction, not just down. The <a href="https://www.optmyzr.com/solutions/rule-engine/" target="_blank" rel="noopener">Rule Engine</a> can build the same condition on a custom schedule instead. Either way: point an alert at conversions specifically, because the default one won't.

---

## Step 2: Catch it the same day.

The Anomaly Detector runs hourly, comparing actual performance against what's expected for that day and hour, which is what makes same-day detection possible instead of finding out at the end of the week. Smart Bidding <a href="https://support.google.com/google-ads/answer/11095984?hl=en" target="_blank" rel="nofollow noopener">continuously updates its bidding algorithms as new conversion data comes in</a>; no one publishes an exact reaction curve. The number that matters is your own: how many hours passed between the spike and your alert. Same logic behind <a href="https://www.optmyzr.com/blog/google-ads-cpc-spike-causes-prevention/" target="_blank" rel="noopener">a CPC spike overnight</a>: different metric, but same principle.

---

## Step 3: Trace it to the exact search term.

An alert tells you something moved, but not what moved it. That's the job of <a href="https://help.optmyzr.com/en/articles/3075363" target="_blank" rel="noopener">PPC Investigator's</a> Root Cause Analysis, which narrows a change from account level down through campaign, ad group, and keyword, and checks change history to rule out you did this yourself.

<p><img width="1196" height="629" alt="Optmyzr’s Root Cause Analysis" src="data:image/png;base64,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" /></p>

From there, open <a href="https://help.optmyzr.com/en/articles/3075385" target="_blank" rel="noopener">Search Term N-Grams</a> or <a href="https://help.optmyzr.com/en/articles/3075605" target="_blank" rel="noopener">Negative Keyword Finder</a> and sort by conversions. A term with 50 overnight conversions will not be hiding.

{{< youtube id="HAqVhZDTpVY" title="How to Investigate Changes in Your PPC Account" >}}

&nbsp;

Florida-based agency, The PPC Pros, uses the PPC Investigator for faster diagnosis.

> **Read more:** <a href="https://www.optmyzr.com/case-studies/ppc-pros/" target="_blank" rel="noopener">How The PPC Pros Saved 5,000+ Hours and Built a 24/7 PPC Safety Net</a>

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## Step 4: Confirm it's spam before you touch anything.

No tool will tell you if a conversion is fake. That call is yours. Does the term make sense, and would 50 people possibly search it overnight in one community? Some of the tells here would be: nonsensical phrasing, a location mismatch, or a pattern that looks scripted rather than something that comes from a human. Don’t get this step wrong or else you could negate a real, high-intent term, which does more damage than the spam did.

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## Step 5: Negate it, then decide if it's a pattern.

Once you're confident, negate the term. Both Search Term N-Grams and Negative Keyword Finder let you add it directly from the report, to a shared list or the account, in one click. That's today's fix.

For next time, a <a href="https://help.optmyzr.com/en/articles/5859354" target="_blank" rel="noopener">Rule Engine</a> rule that auto-adds matching terms to your negative list means the same bot pattern doesn't need a human next month. <a href="https://www.optmyzr.com/solutions/optmyzr-mcp/" target="_blank" rel="noopener">Optmyzr MCP</a> can stage that same <a href="https://www.optmyzr.com/blog/negative-keywords/" target="_blank" rel="noopener">negative keyword</a> for you in conversation, but applying it still needs your confirmation: the judgment stays with you.

> **Read more:** <a href="https://www.optmyzr.com/blog/manage-ppc-accounts-with-claude-optmyzr/" target="_blank" rel="noopener">How To Use Claude With Optmyzr MCP</a>

{{< youtube id="XUSG4eEyY6A" title="Upgrade Your Google Ads Rules with Rule Engine Automation" >}}

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## What negating the term doesn't undo.

Here's the honest part: negating the term stops the bleeding, but it doesn't erase what Smart Bidding already learned from the conversions it already counted. There's no button that un-counts those fifty leads once Google has logged them, not in Optmyzr, not anywhere we could confirm.

That's not a reason to skip the steps above. In fact, it's an important reason to run them fast. The account manager we quoted in the intro found out only once performance felt wrong, meaning the algorithm had already been chasing it a while. Which means, alerting on the increase, not just on the decrease, is how you close that gap.

If you want to see this whole loop in your own account before you need it, <a href="https://www.optmyzr.com/info/signup" target="_blank" rel="noopener">Optmyzr's 14-day free trial</a> gets you into the Anomaly Detector and PPC Investigator with no credit card required, so the next overnight spike is one you catch instead of one you find out about later.

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*Source: [How to Protect Smart Bidding From Spam Conversions in Google Ads](https://www.optmyzr.com/blog/protect-smart-bidding-from-spam/)*
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