PPC / Analytics / Consulting

Google Ads Conversion Tracking Cleanup

This account was producing clicks and reporting conversions, but the reporting made it too hard to tell which searches were creating real leads. Lower-value engagement events were mixed too closely with primary lead actions, query quality was difficult to judge, and the keyword set needed to be rebuilt around better evidence. I cleaned up the conversion structure, separated engagement actions from lead goals, and used the repaired data to reshape targeting and search-term controls.

Results summary

·9.5% more conversions
·22% lower spend
·500+ negative keywords added

Engagement Snapshot

Service: Google Ads audit, conversion repair, and paid search optimization
Client type: Lead generation business with unclear conversion value
Scope: Conversion audit, primary and supporting goal cleanup, search-term review, keyword targeting rebuild, ongoing optimization
Timeline: 5-week audit and repair cycle, followed by 6 months of optimization review
Platform: Google Ads with analytics and conversion tracking QA
Primary outcome: Cleaner conversion tracking, lower spend, and stronger search-term decisions

The Challenge

The account did not simply need more campaign changes. It needed a measurement reset first. When low-value engagement events sat too close to lead submissions, the account could look healthier than it was and still leave the team unsure which searches deserved more budget.

That created a practical optimization problem. Search terms could not be judged only by total conversion count, because not every conversion represented the same level of value. The work had to repair the data layer, wait long enough for the new setup to become useful, and then rebuild targeting without disrupting the lead flow the business still needed.

What I Found

01
Diagnostic actions were useful for context, but they were being treated too much like lead goals.
02
Primary lead actions needed cleaner separation so high-intent queries could be evaluated more clearly.
03
Search-term reports showed recurring low-value patterns that had not been blocked aggressively enough.
04
Keyword targeting reflected the old reporting setup more than the account's strongest post-repair demand.
05
Spend was spread across too many weak search patterns before the account had a reliable way to compare lead quality.

Strategy

I treated the project as staged conversion tracking repair, not a single account cleanup. The first two weeks focused on conversion auditing. I reviewed the goal setup, identified which actions should guide budget decisions, and found where reporting was overstating or mixing lead value.

The next two weeks were for repair and observation. Once the conversion setup was cleaned up, I reviewed the new data before making bigger account moves. That prevented the keyword rebuild from being based on the same noisy conversion data that had caused the problem.

After that, I rebuilt the account around the queries and themes that looked strongest under the cleaner primary conversion setup, then kept reviewing search terms, spend, and conversion quality over the following months.

What I Did

Reviewed the conversion setup and separated primary lead actions from lower-commitment engagement events.

Kept diagnostic actions available for context while making primary conversions more useful for budget and targeting decisions.

Monitored the repaired setup before using the new data to judge search terms and keyword themes.

Rebuilt keyword targeting around the queries most connected to higher-quality lead behavior.

Added more than 500 negative keywords (blocked search terms) to stop weak-fit searches and repeat waste patterns.

Shifted account focus away from broad, lower-value traffic and toward searches with clearer lead intent.

Continued optimization reviews for six months so the repaired structure kept improving after the initial rebuild.

Constraints and Complications

Historical conversion totals could not be used at face value because the old setup blended actions with different levels of value.

The account still needed to generate leads while tracking changes and targeting changes were being made.

The cleaned conversion setup needed time to produce enough data before larger keyword decisions would be trustworthy.

Supporting actions still had diagnostic value, so the goal was not to remove them from view. The goal was to stop letting them distort primary decisions.

Ongoing search-term control had to reduce wasted spend without cutting into the queries that were beginning to prove their value.

Measurement Notes

Results were evaluated after the repaired conversion setup and rebuilt targeting had enough data to stabilize.

The conversion lift reflects movement under the cleaner primary conversion structure, not a count inflated by lower-value engagement actions.

Spend reduction was measured against the earlier account baseline after weaker query patterns were filtered out.

The negative keyword count includes the search-term cleanup from the rebuild and the continued optimization period.

Separating primary and diagnostic conversions mattered because it made query quality clearer before budget and targeting decisions were made.

Results

After the five-week audit and repair cycle, the account improved because the conversion setup became clearer before the targeting was rebuilt. Once lower-value actions were separated from primary lead goals, the strongest queries were easier to identify, weak searches were easier to block, and spend could be reduced without giving up conversion growth.

9.5%

more conversions

Conversions increased after targeting was rebuilt around query themes that performed better against the repaired primary goal setup.

22%

lower spend

Spend dropped once low-value searches were filtered more aggressively and budget was pulled away from weaker intent patterns.

500+

negative keywords added

More than 500 negative keywords were added through the initial cleanup and follow-up reviews, giving the account tighter search-term control over time.

Key Takeaway

The account needed cleaner conversion data before the keyword rebuild could be useful. Once primary lead goals were separated from lower-value actions, I could judge search terms by lead quality, block weaker searches, and reduce spend while conversions increased.