SEO analytics work that holds up under scrutiny
Each project here started with a specific problem - rankings dropping, traffic plateauing, or data that nobody could interpret. The work shown is real, with real constraints.
Selected client engagements
These are not case study summaries. Each entry describes what the situation actually was, what analysis was done, and what changed as a result.
Crawl architecture rebuild for a national retail chain
A 40,000-page e-commerce site had accumulated six years of structural debt. Canonical conflicts, orphaned faceted URLs, and inconsistent internal linking meant Google was indexing roughly 30% of what mattered. The audit took three months. Implementation ran alongside a platform migration, which added significant complexity. Indexation of priority pages stabilised over the following quarter.
Discuss a similar projectGA4 migration for a media publisher
Universal Analytics data was being used to make editorial decisions. The migration to GA4 required rebuilding 22 custom dimensions and reconciling historical data gaps before any reporting could resume.
Keyword cannibalisation across a B2B service site
Eleven service pages were competing for the same cluster of transactional queries. A content consolidation strategy reduced the page count and clarified topical authority signals.
Backlink profile audit following a manual action
A penalty had been applied after a previous agency's link-building work. The disavow process required classifying over 8,000 linking domains before a reconsideration request could be submitted.
Multi-location visibility for a healthcare group
Fifteen clinic locations had inconsistent NAP data across 40 directories. Structured data implementation and citation cleanup preceded any ranking work.
What the work actually changes
SEO analytics engagements rarely produce clean before-and-after stories. Most situations involve inherited problems, platform constraints, and decisions made before Gamipoo was involved.
The comparison below reflects a composite of patterns seen across projects - not a single client outcome. It describes what the diagnostic picture typically looks like at the start versus what a structured analysis phase tends to surface.
Numbers here are illustrative averages across closed engagements. Individual results depend on site age, content volume, competitive density, and how quickly implementation can follow recommendations.
Reporting without direction
- Traffic data collected but not segmented by intent or page type
- Ranking reports generated weekly with no threshold for action
- Crawl errors acknowledged but not prioritised by impact
- Content decisions made without reference to search demand data
- No clear ownership of technical SEO tasks within the team
Data mapped to decisions
- Traffic segmented by channel, intent cluster, and conversion path
- Crawl priority matrix built from log file data and revenue weighting
- Content gaps identified against actual query volume, not assumptions
- Technical backlog ranked by estimated indexation impact
- Reporting cadence matched to decision-making cycles, not arbitrary dates