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Rivac AI Labs
Paid Media & Advertising

Search Query Analyst

Every paid search account leaks money to search terms that should never have triggered an ad in the first place, near-matches, irrelevant intent, and junk queries that quietly eat 20-30% of spend without anyone noticing until the report is pulled apart line by line. This service mines the actual search-term data, builds a tiered negative-keyword architecture, and maps remaining keywords to real buyer intent so spend concentrates on queries that convert. It's for accounts where volume looks fine but efficiency has been sliding, or where nobody has done a proper search-term pass in months. The result is recovered budget without losing the traffic that was actually working.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Pull the full search-term report across every campaign and flag exactly which queries are burning spend with zero conversions.

  2. 2

    Build and apply a negative-keyword list and intent-tier mapping to one campaign, tracked against a wasted-spend-recovered target.

  3. 3

    Show the dollar amount recovered and any conversion-rate lift before extending the process further.

  4. 4

    Roll the negative-keyword architecture out account-wide and set a recurring review cadence so query hygiene doesn't decay again.

What You Get

Deliverables from this engagement

  • A cleaned, tiered negative-keyword list applied at the account and campaign level
  • An intent-mapping document classifying keywords by buyer stage
  • A wasted-spend-recovered report with before/after numbers
  • A recurring search-term-review process your team or ours can run going forward

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Manual Export

  • Search Term Report Export
  • Spreadsheet Query List
  • Campaign Filter Pass

Manual Analysis

  • Waste Query Flagging
  • Intent Tagging by Hand

Manual Action

  • Negative Keyword List Draft
  • Applied to One Campaign

Review

  • Spend Recovered Spreadsheet
  • Conversion Rate Check

Lightweight Operations Notes

  • Process Owner Assigned
  • Manual Backup Notes
  • Simple Escalation Contact

Cloud-Native / Managed Services Architecture

Managed Data Ingestion

  • Ad Platform Reporting API
  • Scheduled Query Pull

Cloud Warehouse

  • Search Term Data Warehouse
  • Managed Keyword Categorization

Negative Keyword Management

  • Tiered Negative List Builder
  • Intent Tier Mapping

Dashboards

  • Wasted Spend Dashboard
  • Intent Coverage Dashboard
  • Analyst Weekly Digest

Platform Operations

  • Access and Permissions Setup
  • Automated Backup Job
  • Uptime Monitoring Service

Event-Driven & Automation-First Architecture

Scheduled Trigger Layer

  • Daily Search Term Pull

Automated Waste Detection

  • Zero Conversion Rule Engine
  • Query Spike Detector

Automated Actions

  • Auto Apply Negative Keywords
  • Intent Tier Reclassification
  • New Query Spike Alert

Monitoring

  • Recovered Spend Tracker
  • Slack Alert to Analyst
  • Monthly Trend Summary

Automation Operations

  • Retry and Dead Letter Queue
  • Automation Health Check
  • Rule Version Log

Enterprise-Grade & Compliance-Ready Architecture

Keyword Governance

  • Shared Negative Keyword Registry
  • Brand Term Protection List

Change Approval

  • Proposed Negative List
  • Account Owner Approval Gate

Governed Execution

  • Account Level Application
  • Campaign Level Application

Audit Trail

  • Change Log
  • Quarterly Query Hygiene Report
  • Stakeholder Sign Off

Risk and Vendor Oversight

  • Vendor Risk Assessment
  • Annual Policy Review
  • Incident Response Drill

AI-Augmented, Human-in-the-Loop Architecture

Signal Layer

  • Full Search Term History
  • Conversion and Revenue Data

AI Classification Layer

  • NLP Intent Classifier
  • Negative Keyword Candidate List

Human Approval Gate

  • Search Query Analyst Review
  • List Adjustments Captured

Execution and Learning

  • Approved List Pushed Live
  • Wasted Spend Recovered Result
  • Feedback Into Classifier
  • Rejected Terms Returned
  • Recovery Report to Client

Quality Assurance Layer

  • Confidence Score Threshold Check

Integration-Heavy / Ecosystem-Connected Architecture

Ad Platform Layer

  • Google Ads Search Terms
  • Microsoft Ads Search Terms

Client Systems

  • CRM Conversion Data
  • Product Catalog

Search Query Analysis Core

  • Data Warehouse
  • Intent Mapping Engine

Downstream Outputs

  • BI Tool Dashboard
  • Slack Recurring Review Alert
  • Account Team Handoff Note

Sync and Data Quality Operations

  • Error and Sync Monitoring
  • Data Quality Check
  • API Rate Limit Handling

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Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Search Query Analyst

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call