Google Ads
Google Ads prints money when the tracking is honest and the structure is engineered. Otherwise it is a very expensive guessing machine.
Google Ads at RedSage is run as an engineering discipline: account architecture built around intent, conversion tracking that survives privacy changes, and optimization against revenue - not the platform's default metrics.
We manage Search, Shopping, and Performance Max with the same standard: every rupee or dollar traceable to pipeline, every automation supervised by someone who understands what it is actually doing.
The Challenge
Most Google Ads accounts leak in the same places: broad match burning budget on adjacent intent, conversion tracking double-counting or missing entirely, Performance Max optimizing toward whatever converts easiest rather than what is worth most, and reports built on the platform's self-graded homework.
The result is a channel that looks busy and may or may not be profitable - with no instrumentation honest enough to say which.
Our Approach
Measurement before spend: server-side conversion tracking, deduplication, and values that reflect real revenue. Automation is given honest signals or it optimizes toward garbage - this step decides everything downstream.
Structure follows intent: campaigns segmented by query value, negatives maintained as a discipline, and automation used where it beats humans with supervision it cannot escape. Reporting ties spend to pipeline in your systems, not Google's.
Capabilities
Account architecture engineered around query intent and value.
Server-side conversion tracking that survives privacy restrictions.
Performance Max and Shopping managed against margin, not just ROAS theater.
Negative keyword and query discipline as ongoing engineering.
Revenue-attributed reporting from your data, not the platform's.
Execution Process
Measure
Tracking rebuilt server-side; values tied to real revenue.
Restructure
Campaigns re-architected around intent and value.
Optimize
Bids, queries, and automation tuned against pipeline.
Scale
Spend grows only where revenue attribution proves it.
Business Outcomes
Spend traceable to revenue, not platform claims
Tracking that privacy changes cannot blind
Automation supervised by people who read the queries
Waste cut at the query level, continuously
Scale decisions made on evidence
Deliverables
Technologies
Relevant Industries
Related Services
Frequently Asked Questions
Enough to learn: in most markets that means a few thousand per month. Below that, data trickles and optimization crawls. We tell you the honest threshold for your category before taking money.
Usually tracking drift plus automation left unsupervised: the platform optimizes toward easy conversions, match types broaden quietly, and you pay more for the same customers. The audit finds the leak in days.
Take over, audit, then restructure in place. History has value - we preserve what works and rebuild what leaks, with the tracking fixed first so the difference is measurable.
Google Ads
Search and Performance Max run as engineering - query-level intent, server-side tracking, and budgets judged on revenue.
Engineer your search spend