KLAR

From dormant channel to 13× growth. Search was always there. The system wasn’t.

13
×
Credit card approvals from Paid Search
2.5
x
Budget scaled in 5 months, CAC under target
Launch Date
January 2026
Country
Mexico
Industry
Fintech / Neobank
Solutions
  • Paid Search
  • Campaign Architecture
  • Competitor Conquesting

Introduction

Klar is one of Mexico’s leading digital banks, offering credit cards, savings accounts, and investment products to millions of users. Strong brand recognition, significant organic traffic, and one of Latin America’s most competitive fintech markets against Nubank, Plata Card, and Stori.

Despite its scale, Klar’s paid Search channel was virtually dormant. Non-brand investment was under 5% of total spend. The opportunity wasn’t demand. It was capture.

Search was always there. What was missing was the architecture to capture it and the discipline to scale it without breaking CAC. Klar didn’t need more budget to start. They needed someone to build the system first.

The challenge

Demand without capture

Klar’s Search setup had four structural issues. Brand and non-brand keywords were mixed in the same campaigns, distorting optimization signals and inflating perceived results. Non-brand ran on just 2 ad groups, making relevant ad copy and meaningful Quality Scores impossible. Competitors were bidding on Klar’s branded terms with no defensive strategy in place. And Performance Max was aggressively buying branded keywords, creating the illusion of acquisition while only capturing existing demand.

Klar held just 16% of total search traffic in its competitive set. Not a demand problem. A capture problem. The kind you can’t solve by increasing budget.

The Strategy

build the system, then feed it

Incrementalist rebuilt Klar’s entire Search architecture from scratch. Three workstreams ran in parallel:

Campaign Architecture from Zero

Designed and launched 5 non-brand campaigns segmented by intent: competitor conquesting as the primary acquisition lever, product-specific campaigns for credit cards and savings, and benefit-led campaigns around cashback and financial tools. Brand campaigns were separated and cleaned to protect existing demand without contaminating acquisition signals.

Progressive Scaling with Bidding Discipline

Started with volume-first bidding to feed the algorithm with conversion data, then progressively transitioned to CAC-focused strategies as signal matured. Budget allocation shifted weekly based on keyword-level performance, moving spend toward proven converters while continuously testing new territory.

Keyword Intelligence from Organic Signals

Leveraged Klar’s organic search data to identify high-converting terms the paid team hadn’t explored. Keywords from benefits pages, cashback content, and competitor comparison queries built a continuously expanding keyword universe informed by real user behavior.

The numbers tells the story

13×

Credit card approvals from Paid Search

+106%

Growth in Paid Search users

+27.7%

Lift in total site approvals

What made the difference

1

Architecture over optimization

The previous setup wasn’t underperforming. It was structurally incapable of performing. No amount of bid adjustments or budget increases fixes a broken structure. Sometimes the highest-leverage move isn’t optimizing what exists. It’s admitting it needs to be rebuilt.

2

Competitor intent is acquisition intent

In a market where competitors dominate search volume, the people searching for Nubank or Stori are the exact people evaluating a neobank right now. Custom ad copy highlighting Klar’s specific advantages turned competitive search intent into net-new customers.

3

Feed the algorithm before constraining it

Scaling from zero requires patience in sequence: volume first to build conversion data, efficiency second once signal is stable. The discipline to transition at the right moment, not before, not after, is what separates controlled growth from wasted spend. The proof: budget scaled 2.5× with CAC under target the entire way.

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