Credit Union SEO Case Study 20,000+ Keywords Driving Growth Online

In this Pearl Lemon case study, we break down the exact keyword research system our team used to build a 20,000+ keyword framework for a credit union SEO campaign turning scattered search data into a structured, high-ROI asset that consistently outperformed competitors.

Using a combination of SEMrush, Google Keyword Planner, and KeywordTool.io, we extracted thousands of competitor keywords, cleaned and removed irrelevant terms, clustered themes, built negative keyword maps, and tested everything through Google Ads to validate real user intent.

This is the same data-led keyword research process we use across clients in finance, SaaS, HR tech, real estate, and e-commerce to produce:

Faster rankings
Lower CPCs
Higher-quality inbound leads
More stable SEO growth

Introduction: What This Case Study Covers

This walkthrough explains how we conducted deep keyword research for a credit union SEO campaign. Unlike many projects that start with an existing keyword base, this one began with almost nothing meaning we had to build a complete keyword ecosystem from scratch.

The goal:

Build a massive keyword universe
Clean and refine it
Identify opportunities & gaps
Transform it into a campaign-ready SEO asset
Validate everything using Google Ads data

Collecting Data: Building an Initial Keyword List

We began with basic seed terms like:

credit union loans
bad credit loans
loan options near me

Using SEMrush, we identified a competitor using 20,000+ keywords, exported their entire list, and added additional competitors to build a large, raw master list.

Exporting Competitor Keywords (20K+ Terms)

We exported:

Full organic keyword lists
Paid keyword lists
Phrase match keywords
Exact match keywords

Each batch was merged into one giant spreadsheet giving us a complete picture of the market’s search behavior.

Cleaning & Removing Irrelevant Keywords

From the 20K terms, we removed:

Irrelevant terms (e.g., “terrible loans,” “horrible credit help”)
Misspellings that users wouldn’t realistically search
Keywords unrelated to financial services
Generic, broad, or extremely low-intent phrases

This manual pruning significantly improved keyword relevance and quality.

Using Keyword Planner for Expansion

Next, we ran the cleaned list through Google Keyword Planner to:

Discover additional keyword variations
Validate search volume
Identify cost-per-click trends
Detect seasonal shifts

This helped us uncover missing opportunities that competitors had overlooked.

Finding Missed Opportunities & Gaps

Using tools like KeywordTool.io, we uncovered:

Long-tail loan-related terms
Regional search variations
Voice-search inspired queries
High-intent “near me” searches

These became some of the campaign’s highest-value keywords later in testing.

Negative Keyword Strategy

We built a negative keyword list to prevent wasted spend and poor traffic quality.

Examples removed:

loan shark
free loans
payday loans comparisons
irrelevant banking services

A strong negative list keeps CPC low and conversion rates high.

Combining Lists & Testing in Google Ads

Once all lists were cleaned and clustered, we loaded them into Google Ads:

Set small test budgets
Isolated keyword groups
Tested phrase/exact match types
Measured clickthrough and conversion potential

Real-world PPC data validated what to keep and what to cut.

Analysing Winners and Cutting Underperformers

After the test period, we separated:

Top-performing keywords – strong CTR, low CPC, high intent
Underperforming keywords – low engagement, irrelevant clicks

The final list became the foundation of the credit union’s entire SEO campaign.

Final Thoughts and Continuous Optimization

Keyword research is never done once.

Our ongoing updates include:

Adding new competitor terms
Refreshing Keyword Planner data
Re-analyzing search intent shifts
Refining negative keywords
Monitoring real ROI from SEO + PPC

This continuous improvement process is what keeps Pearl Lemon’s campaigns profitable and ahead of market competition.