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Arc4 case study

The Evolution of Local Pages for a National Childcare Network

How an Iterative Local Page Strategy Drove Long-Term Digital Marketing Performance

Client Snapshot

The childcare organization required a scalable approach to improve visibility, engagement, and enrollment while maintaining consistency across a large and growing footprint.
3

Portfolio brands

200+

Locations across the portfolio

7

Different service programs marketed towards nationally

30+

Different states with a physical footprint

Client Type

National Multi-location Organization

Industry

Childcare / Education

Business Model

Multi-location Service Network

Engagement Scope

Data Architecture / Centralized Data Systems, Technical SEO, Local SEO

Executive Summary

Arc4 partnered with a national childcare organization operating hundreds of centers across multiple states. With each location serving as a key entry point for parents researching childcare, local pages needed to function as high-performing acquisition assets rather than static listings.

The existing experience lacked the depth and flexibility needed to highlight what matters most to parents at the local level, limiting visibility and engagement in search. The organization required a scalable solution to showcase administrators, accreditations, and reviews across every center while improving local rankings and driving new enrollments.

Arc4 developed a scalable location page framework designed to balance centralized control with localized content, enabling each center to present a unique and trustworthy experience. This approach improved organic visibility across key local searches while creating a stronger path to conversion, turning location pages into a consistent driver of enrollment growth.

Case study

The Challenge

Multi-location childcare providers depend heavily on local search visibility and trust-driven decision-making. Parents evaluate options based on proximity, reputation, and program details, often comparing multiple providers before taking action.Prior to this engagement, the organization’s local pages were underperforming due to structural and operational limitations. The organization also faced operational friction from managing multiple platforms, resulting in inaccurate information, inconsistent branding, and reduced trust with prospective families.

Key challenges included:

  • Inconsistent SEO implementation across locations
  • Lack of structured, parent-focused content
  • Templates that were difficult to update at scale
  • Data inconsistencies across locations and listings
  • Manual workflows that slowed updates and introduced errors

Case study

Strategy

Our Strategy

Arc4 implemented a structured framework designed to evolve over time rather than relying on a one-time redesign. This approach allowed the organization to improve performance incrementally while maintaining flexibility as operational needs and enrollment goals continued to change.

The strategy prioritized building a strong technical and data foundation first, ensuring that all future enhancements could be deployed efficiently across hundreds of locations. By aligning SEO, content, and data systems from the beginning, Arc4 created a framework that supports both immediate gains and long-term scalability.

With that foundation in place, the focus shifted to improving how local pages function as both discovery tools and conversion assets. Each update was designed to better reflect how parents search for childcare, evaluate options, and ultimately make enrollment decisions.

Key strategic priorities included:

Structured SEO and Data Foundation
Implementing technical SEO and structured data to improve indexing and local search visibility
Centralized Data Management
Establishing a single source of truth for location data across all platforms
Localized Content Development
Creating parent-focused, location-specific content aligned with search behavior
Scalable Template Architecture
Enabling updates across hundreds of locations without developer involvement

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Highlights

Arc4 executed a multi-phase transformation that improved performance across SEO, engagement, and operations.
  • Structured Data Visibility
  • Localized Content Engagement
  • Google Profile Accuracy
  • Conversion UX Optimization
  • Scalable Template Deployment
  • Centralized Data Consistency

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Measurable Outcomes

10x
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Increased visibility for both branded and non-branded search terms
10x
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Higher engagement and improved interaction across local pages
40%
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Growth in conversion actions including form submissions
30%
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Improved data accuracy across pages and third-party listings
10x
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Scalable infrastructure supporting continued expansion

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Operational Impact

Performance improvements were driven by a structured framework that reduced manual effort and improved consistency across hundreds of locations. By centralizing data management and standardizing templates, the organization eliminated inefficiencies caused by fragmented systems and manual updates. Integrated data systems ensured location information remained accurate across all touchpoints, while scalable architecture enabled rapid updates and expansion without additional development.

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Why It Matters

For childcare organizations, local pages are critical to how parents discover and evaluate providers. These pages must communicate trust, relevance, and program quality while supporting search visibility and conversion. This case study demonstrates how a structured, scalable approach can transform underperforming local pages into high-impact marketing assets. By combining technical SEO, localized content, and centralized data systems, organizations can improve visibility, strengthen engagement, and support long-term enrollment growth.

overview

Operational Impact

Performance improvements were driven by a structured framework that reduced manual effort and improved consistency across hundreds of locations. By centralizing data management and standardizing templates, the organization eliminated inefficiencies caused by fragmented systems and manual updates. Integrated data systems ensured location information remained accurate across all touchpoints, while scalable architecture enabled rapid updates and expansion without additional development.

overview

Why It Matters

For childcare organizations, local pages are critical to how parents discover and evaluate providers. These pages must communicate trust, relevance, and program quality while supporting search visibility and conversion. This case study demonstrates how a structured, scalable approach can transform underperforming local pages into high-impact marketing assets. By combining technical SEO, localized content, and centralized data systems, organizations can improve visibility, strengthen engagement, and support long-term enrollment growth.

About Arc4

Scalable Local Experiences That Rank and Convert

Arc4 builds high-performing local page experiences for multi-location brands that need to scale visibility and conversions across every market and search platform including AI. Website implementation, SEO, and GEO/AEO strategies are developed together, ensuring each location page is structured to rank, engage, and drive action.

We focus on creating scalable local page systems, not one-off builds. From template architecture and structured data to dynamic content and location-level optimization, everything is designed to support hundreds or thousands of pages without sacrificing performance or quality.

Each experience is built to reflect how users actually search and decide. Local SEO, AEO/GEO, UX, and conversion strategies work together to turn location pages into high-performing digital entry points that drive traffic, build trust, and generate leads at the local level.

  • Deep Expertise in Multi-Location and Local Page Architecture
  • Proven Frameworks for Scalable Local SEO and Page Systems
  • Integrates AEO and GEO Into Core SEO Methodologies
  • Brings Implementation, SEO, and UX Into One System
  • Experienced in Managing Complexity Across Hundreds of Locations and Brands
  • Iteritave frameworks designed for portfolio brands with multiple organizations

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