Solvers
Internal Case Study

Solve.rs: Building our own Growth Intelligence engine

GSC + GA4 integration with a custom AI analysis layer. Weekly opportunity reports, intent-mapped content gaps, and conversion friction detection — all internal, all measurable.

Client
Solve.rs (Internal)
Industry
Growth Architecture
Timeline
6 weeks
Status
Live & Improving
The Challenge

Manual analysis doesn't scale

  • Need for real-time growth intelligence, not monthly reports
  • GSC and GA4 data siloed, requiring manual analysis
  • Content gaps identified too late to act on trends
  • No systematic way to map user intent to content
  • Conversion friction points difficult to detect early
The Solution

Automated growth intelligence

  • Built custom GSC + GA4 integration layer
  • Implemented AI-powered analysis for weekly insights
  • Created intent mapping system for content strategy
  • Automated opportunity detection and prioritization
  • Built conversion friction detection with actionable alerts
System Performance

Measurable impact

Weekly
Automated opportunity reports
3hrs
Saved per week in manual analysis
100%
Data-driven content decisions
Real-time
Friction detection and alerts
Capabilities

What the System Detects

The system continuously monitors multiple data sources and generates actionable insights across six core areas.

Keyword Opportunities

Identifies rising queries, position improvements, and untapped keywords with search volume.

Content Gaps

Maps user intent to existing content, surfaces missing topics and weak coverage areas.

Conversion Friction

Detects drop-off points, unusual bounce patterns, and conversion funnel issues.

Traffic Patterns

Analyzes seasonal trends, traffic source shifts, and engagement quality changes.

Ranking Changes

Monitors position movements, identifies volatility, and tracks competitor displacement.

Technical Issues

Flags crawl errors, indexing problems, and Core Web Vitals degradation.

Metrics

System efficiency and output

Beyond time savings, the system fundamentally changed how we operate—from reactive to proactive growth.

15+
Data sources integrated
GSC, GA4, internal analytics, conversion events, traffic sources
50+
Automated insights weekly
Keyword opportunities, content gaps, friction points, traffic patterns
85%
Reduction in manual work
Automated data collection, analysis, and report generation
2x
Faster opportunity response
From identifying trends to shipping content or fixes
Technology

Tech stack and architecture

Data Integration

  • Google Search Console API
  • Google Analytics 4 API
  • Custom data pipelines
  • Real-time sync

AI Analysis Layer

  • Claude API
  • Custom prompts
  • Intent classification
  • Trend detection

Storage & Processing

  • PostgreSQL
  • Supabase
  • Time-series optimization
  • Indexed queries

Automation

  • Scheduled jobs
  • Alert system
  • Report generation
  • Action recommendations
Development Timeline

6 weeks from concept to production

Week 1-2

API Integration & Data Model

  • GSC API setup and historical data import
  • GA4 API integration and event tracking
  • Database schema for time-series analytics
  • Data normalization and quality checks
  • Authentication and access control
Week 3-4

AI Analysis Layer

  • Custom prompt engineering for insights
  • Intent mapping algorithm development
  • Content gap detection logic
  • Conversion friction identification
  • Opportunity scoring system
Week 5

Automation & Reporting

  • Weekly report automation
  • Real-time alert system
  • Dashboard visualization
  • Action prioritization logic
  • Integration testing
Week 6

Refinement & Launch

  • Insight accuracy validation
  • Performance optimization
  • Report template refinement
  • Internal user training
  • Production launch
Insights

Key learnings from this project

Data Quality Beats Data Volume

Having 15 curated data sources with clean integration beats 50 disconnected dashboards. Quality, normalized data enables AI to generate accurate insights instead of hallucinating patterns.

AI Needs Context, Not Just Data

Raw API data means nothing without business context. We built custom prompts that understand our growth goals, content strategy, and conversion funnels to generate actionable insights.

Automation Amplifies Expertise

The system doesn't replace growth expertise—it amplifies it. Automated analysis saves 3 hours per week, letting us focus on strategy and execution instead of spreadsheets.

Build Internal First, Productize Later

Using our own growth system internally validates every feature and insight before we ever consider turning it into a product. Real-world stress testing beats theoretical features.

Want your own Growth Intelligence system?

We can build a custom growth intelligence system for your product using the same architecture and AI analysis layer we use internally. Real-time insights, automated reports, actionable recommendations.

Learn About Growth Intelligence