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PpcAutomate

Google Ads negative keywords with evidence behind every addition

PpcAutomate turns search term review into a recurring management task the software handles.

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Find repeated waste with n-gram mining

A search terms report can contain many queries that express the same unwanted intent. Reviewing each row separately makes that pattern harder to recognize. PpcAutomate breaks queries into recurring words and word groups, called n-grams, and evaluates their combined performance.

A repair service can attract searches about careers, training, or parts even when it sells repairs. Each query may show little spend on its own. A recurring phrase reveals how that intent accumulates across the report. The review connects that pattern with clicks, cost, and recorded conversions.

An n-gram is evidence for a decision. It is not automatically a negative keyword. The rule still checks thresholds, protection lists, match type, and campaign scope before applying an exclusion. That distinction matters when the same word appears in both useful and irrelevant searches.

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Choose exact or phrase negatives for the right reach

An exact negative blocks the matching search without broadly excluding every query that contains its words. A phrase negative blocks searches containing that phrase in the same order. Choose the type according to how much of the search pattern is demonstrably unwanted.

Use an exact negative when one query fails your criteria but related searches remain relevant. Use a phrase negative when the phrase itself consistently identifies intent your business does not serve. Broader reach requires stronger evidence and a careful protection check.

  • Keep isolated query problems narrow with exact negatives.
  • Review the wider search set before applying a phrase negative.
  • Match campaign scope to the product or service being advertised.

On Growth and higher plans, per-rule Approve mode lets you review a phrase exclusion before it applies. The readable rule builder keeps the conditions and action clear.

Use shared negative lists where intent stays consistent

Shared negative lists let selected campaigns use the same exclusions. When several campaigns sell the same type of service, a repeated hiring phrase may be irrelevant across all of them. Applying a suitable exclusion through a shared list keeps that decision consistent.

List scope still matters. A term that is irrelevant to one service may describe a product another campaign sells. Review the receiving campaigns before using a shared list, especially when an account contains different lines of business or separate brand and nonbrand strategies.

Treat a shared list as a distribution decision as well as a keyword decision. The same phrase can affect more traffic when it reaches more campaigns. Use the weekly account audit, included from Growth, to review account structure and match type issues alongside search term cleanup.

Protect brand and converting terms before exclusions apply

Protection lists keep brand terms and converting search terms from being blocked by negative keyword rules. Maintain those lists around the words and queries that represent valuable demand for your business. An exclusion must pass that protection check even when its wider n-gram pattern looks weak.

Set minimum data thresholds for clicks and spend over a defined review period. A query with little traffic does not offer the same evidence as a repeated pattern with sustained cost. Account for conversion delay before treating the absence of a recorded conversion as a reason to block a search.

Thresholds provide discipline, not certainty. Check conversion tracking when results change sharply. The bid and budget controls rely on the same principle that actions need enough evidence and clear limits.

Exclude hiring intent without blocking service demand

Consider a repair business that advertises service appointments and does not recruit through those campaigns. Search term mining identifies a recurring phrase about job openings. Its rule describes the decision in plain words.

  1. 1 Review the selected service campaigns over the chosen lookback period.
  2. 2 Require the minimum click and spend thresholds, with no recorded conversions for the candidate pattern.
  3. 3 Check brand and converting term protection lists before proposing a negative.
  4. 4 Add an exact negative for a specific irrelevant query, or use a phrase negative when the phrase consistently expresses hiring intent.

If a protected converting search contains the phrase, the protection check prevents an exclusion that blocks it. On Growth or higher, use Approve mode for the phrase rule while a narrower, established rule runs on Autopilot. The daily workflow follows your settings rather than treating every low-performing search as irrelevant.

Keep each exclusion visible and reversible

The change log records the exclusions the software applies and the reasons behind them. One-click undo lets you reverse a logged change when the search intent needs another look. Review the rule as well as the individual exclusion so the ongoing workflow reflects your decision.

Negative keyword autopilot is included on Starter and every higher plan. Starter costs $99/month or $49/month billed yearly at $588/year. Growth and higher plans add Approve or Autopilot mode per rule. Review pricing and account limits to choose the controls and platform coverage you need.

Use monthly PPC reporting to review search term work alongside account spending and conversions. The purpose is to connect exclusions with account management, while keeping claims about performance grounded in what the account actually records. No rule can guarantee that an excluded search would never convert.

Questions about negative keyword automation

Yes. PpcAutomate supports exact and phrase negatives. Your rule defines the intended action, and the review checks performance evidence, protection lists, and scope before an exclusion applies.

Protection lists prevent negative keyword rules from blocking brand and converting terms. Keep the lists aligned with your business and review broader phrase exclusions against the useful searches they could affect.

No. Rules require the data thresholds and conditions you choose. A low-volume search or a query still within its conversion delay does not provide the same evidence as a sustained pattern of irrelevant intent.

Yes. Shared negative lists let selected campaigns use common exclusions. Choose their scope carefully because the same phrase can represent unwanted intent in one campaign and relevant demand in another.