- Fivetran
- - Case Study
Precision SEO Execution to Outrank Direct Competition & Capture High-Intent Demand
Fivetran came with a clear and aggressive mandate
Outrank HevoData across all high-intent, high-competition keywords in the data integration and ELT ecosystem.
This was not a typical SEO challenge—
the category is one of the most technically dense, deeply competitive, and authority-driven verticals in B2B SaaS.
To succeed, we had to engineer a surgical, precision-led SEO system capable of:
- decoding HevoData’s ranking signals,
- building superior semantic depth,
- producing true technical credibility, and
- unlocking consistent pipeline from organic.
🎯 Audience & Offering
The campaign focused on reaching
Data Engineers | Analytics Engineers | Enterprise Data Teams
Users looking for:
- Zero-maintenance data connectors
- Fully managed ELT pipelines
- Enterprise-grade reliability
- Reduced engineering overhead
This meant every piece of content needed to be:
- Technically accurate
- Product-aware
- Credible to an expert reader
- Usable by GTM and sales teams
SEO for this audience cannot be superficial—they immediately detect fluff.
Competitive Landscape
We were battling in one of the hardest fields:
- High DR competitors (HevoData, Matillion, Stitch, Informatica)
- Complex, technical search intent
- Dense enterprise content ecosystems
- Saturated SERPs dominated by existing giants
Ranking without semantic precision, depth, and product authority is impossible here.
This required a hyper-structured SEO execution model.
⚙️ Strategy & Execution
Applied the 7-Step Semantic SEO Framework
This framework allowed us to:
- Reverse-engineer HevoData’s ranking patterns
- Map semantic gaps
- Identify topical density required to outrank
- Understand LLM-influenced SERP behavior
We didn’t guess—we benchmarked, modeled, and surpassed.
Created Data-Driven Content Briefs for Predictable Outcomes
Each content brief included blog-level KPIs:
- Recommended word count range
- Optimal keyword density
- Header distribution
- Internal link requirements
- Reading-level calibration
- User intent & SERP match patterns
Writers received a clear blueprint for ranking, removing guesswork.
Created Data-Driven Content Briefs for Predictable Outcomes
Each content brief included blog-level KPIs:
- Recommended word count range
- Optimal keyword density
- Header distribution
- Internal link requirements
- Reading-level calibration
- User intent & SERP match patterns
Writers received a clear blueprint for ranking, removing guesswork.
Produced Technical, Expert-Level Content With Product Depth
Content was written with:
- Real engineering depth
- Hands-on understanding of connectors, pipelines, reliability
- Fivetran’s product mechanics woven naturally
- Code-level examples where needed
This resonated strongly with technical readers and Google’s quality systems (EEAT).
Executed Advanced On-Page SEO Across Five Levels
We optimized:
- URL & meta structure
- Header & semantic layout
- Entity-based keyword distribution
- Link-based authority flows
- Schema & structured data
This ensured both algorithmic relevance and AI retrievability.
Built Strategic Backlinks for High-Difficulty Keywords
We secured links from:
- Engineering blogs
- Analytics platforms
- Cloud ecosystem partners
- Authoritative SaaS publications
These directly supported the most competitive pages.
📈 Results & Long-Term Sustainability
⭐ Traffic Scaled from 10K → 40K per Month
A 4X increase in organic traffic—but more importantly, high-intent, bottom-funnel traffic.
⭐ Dominated Competitive Keywords & Outranked HevoData
- We achieved consistent top positions for:
ELT-related terms
Integration keywords
Connector-specific searches
Mid and bottom-funnel commercial queries
This directly impacted inbound lead quality.
⭐ SEO Engine Continues to Power GTM & New Verticals
The system we built:
Supports new connector launches
Feeds GTM teams with intent-rich traffic
Expands effortlessly with new product lines
Remains aligned with LLM-based search evolution
A truly sustainable, scalable SEO foundation.