7 Google Ads PPC Strategies Backed by Real Usage Data

Most “PPC strategy” lists are generic advice that could apply to any ad platform. This one is built the other way around: it’s the checklist that follows from what Windsor.ai’s connector usage data actually shows Google Ads teams checking, week after week, plus the fields behind each check. If a common PPC tip couldn’t be backed by a real field or a real usage pattern, it’s not on this list.

1. Track impression share, not just clicks

search_impression_share, search_budget_lost_impression_share, and search_rank_lost_impression_share are requested by nearly as many teams as keyword text or quality score. Reading budget-lost against rank-lost per campaign tells you whether the fix is more budget or a better ad and bid, rather than guessing from clicks alone.

2. Turn search-term reviews into negative keywords

search_term is one of the most-pulled fields on the connector. On the write side, pushing negative keywords is the single most used write action on any Windsor connector: once a search-term pull surfaces clicks with no conversions, an assistant can turn the review straight into an exclusion list.

3. Check quality score at the ad group level, not the account level

quality_score is a current snapshot, not history, and it sums across ad groups when ad_group is left out of the request, a common way this metric gets misread. Always include ad_group when pulling it, and pull keyword_text and keyword_match_type alongside it rather than reading quality score on its own.

4. Audit conversions against all_conversions before trusting your bid strategy

conversions counts only the conversion actions marked to count toward your bidding. all_conversions counts every conversion action regardless of that setting. A wide gap between the two means conversions are happening that your bidding never sees, worth checking before you assume a campaign is underperforming.

5. Filter on campaign status before you analyze anything

campaign_status is one of the most requested fields on the connector, and it’s usually there to filter, not just to display. Teams narrow a report to ENABLED campaigns before they look at spend, clicks, or conversions, so a stale or paused campaign doesn’t skew the read.

6. Watch which write actions are reliable before you automate them

Pushing negative keywords, pushing new keywords, creating ad groups, and creating campaigns all run reliably through an assistant. Setting a bidding strategy is the exception: it fails more often than any other Google Ads write action, so confirm the result rather than assume it took.

7. Compare Google Ads against Meta Ads on one blended report

A large share of Google Ads accounts also pull Meta Ads in the same week, more than any other cross-connector pairing on this platform. Comparing the two directly, on one blended report rather than two separate exports, is common enough to be worth doing properly. See Facebook Ads vs Google Ads: One Report for Both Platforms.

Run this checklist from an assistant

Every check above is a plain-language prompt once Google Ads is connected to Windsor.ai; no scripts, no manual exports. For the full field reference, the canonical pulls, and the write-action detail behind each of these, see Google Ads Reporting and Analytics: A Complete Guide.