Ookla Acquisition: How Accenture Is Transforming Network Intelligence for CX and AI

Accenture has entered an agreement to acquire Ookla, the global leader in network intelligence and connectivity analytics. The portfolio includes Speedtest, Downdetector, Ekahau, and RootMetrics.

How Will Accenture’s Acquisition of Ookla Redefine Network Intelligence and Customer Experience?

Imagine a customer trying to complete a mobile payment during a busy commute.
The banking app freezes. The payment fails. The customer blames the bank.

But the real issue lies elsewhere—an unstable network connection.

For customer experience (CX) leaders, this scenario is painfully familiar. Customers rarely distinguish between application failure, device limitations, or network issues. They simply perceive a broken experience.

In an era where digital journeys depend on seamless connectivity, network performance has become a core part of customer experience strategy.

This is why the announcement that Accenture plans to acquire Ookla is significant for CX and EX leaders across industries—not just telecom.

Announced in Barcelona on March 3, 2026, the deal aims to integrate Ookla’s network intelligence capabilities—including Speedtest, Downdetector, Ekahau, and RootMetrics—into Accenture’s enterprise AI and data ecosystem.

The goal is clear: transform network data into actionable experience intelligence.

For CX and EX leaders battling fragmented journeys, siloed teams, and unreliable digital infrastructure, this move signals a major shift in how organizations design and manage experiences.

What Is Network Intelligence and Why CX Teams Need It?

Network intelligence converts connectivity data into insights about customer and employee experiences.
It reveals how network performance affects digital journeys across devices, applications, and locations.

Traditionally, network monitoring lived inside IT departments. CX teams focused on apps, interfaces, and service processes.

But that separation is collapsing.

If a video consultation drops in a telehealth app, patients blame the healthcare provider—not their Wi-Fi router.

If a checkout fails on a retail app, shoppers blame the brand—not a weak mobile signal.

Experience is now inseparable from connectivity.

Accenture’s acquisition of Ookla reflects this shift toward end-to-end experience visibility.

As Julie Sweet, Chair and CEO of Accenture, noted:

Without accurate performance measurement, companies cannot optimize experience, revenue, or security.

Why Is Accenture Acquiring Ookla Now?

The rise of AI, edge computing, and 5G has made network performance a strategic asset.
Organizations need real-time connectivity insights to support digital operations.

Three major trends explain the timing.

1. AI Requires Reliable Data Infrastructure

AI systems depend on constant data flows between devices, clouds, and applications.

If connectivity fails, AI-driven services degrade instantly.

Network intelligence helps enterprises:

• Detect latency issues
• Monitor packet loss
• Identify regional performance gaps
• Optimize inference workloads

This is critical for industries deploying real-time AI experiences, including banking fraud detection and retail recommendation engines.

2. Digital Journeys Are Distributed

Customer journeys now span multiple environments:

• Mobile networks
• Public Wi-Fi
• Enterprise networks
• Edge infrastructure
• Cloud platforms

Without visibility across these layers, CX teams cannot diagnose failures.

Ookla’s data platform captures over 1,000 attributes per network test, providing deep insight into performance and quality.

3. Experience Ownership Is Expanding

CX leaders increasingly collaborate with:

• CIOs
• Network teams
• Cloud architects
• Data scientists

Network intelligence becomes a shared foundation for experience design and reliability engineering.

What Makes Ookla a Strategic Asset?

Ookla is one of the world’s most widely used connectivity intelligence platforms.
Its tools combine crowd-sourced testing, controlled measurement, and RF analysis.

Founded in 2006 and owned by Ziff Davis, the company operates globally from Seattle.

Its platform processes over 250 million consumer-initiated tests per month.

This creates one of the world’s largest datasets on real-world network performance.

Key Components of the Ookla Portfolio

Together, these tools provide quality of service (QoS), radio frequency (RF), and quality of experience (QoE) insights.

For enterprises, that means visibility into how connectivity affects real journeys.

How Will the Acquisition Impact CX Strategy?

The integration of network intelligence with AI-driven consulting could reshape how enterprises manage experiences.

Here are four strategic implications.

1. Experience Monitoring Will Extend to the Network Layer

Traditional CX metrics focus on:

• NPS
• Customer satisfaction
• Application performance

Network intelligence adds a new dimension: connectivity experience metrics.

This allows organizations to correlate:

• Network latency
• App crashes
• Customer complaints

CX leaders can finally identify root causes instead of symptoms.

2. Autonomous Networks Will Improve Service Reliability

Telecom providers are moving toward self-optimizing networks.

These systems use AI to predict issues and automatically adjust infrastructure.

With Ookla’s data, communications service providers can:

• Benchmark performance
• Simulate upgrades
• Optimize capital investments
• Reduce operational costs

For customers, this means fewer outages and smoother digital services.

3. Enterprises Will Gain Visibility Into Hybrid Work Environments

Employee experience depends heavily on connectivity.

Poor Wi-Fi can disrupt:

• video meetings
• collaboration tools
• cloud applications

Ekahau’s Wi-Fi design capabilities help organizations build high-performance digital workplaces.

This is critical as hybrid work environments continue evolving.

4. Connectivity Will Become a CX Differentiator

Brands increasingly compete on digital reliability.

For example:

• Retail apps must support peak traffic during sales.
• Streaming platforms must deliver uninterrupted playback.
• Banking apps must process transactions instantly.

Network intelligence enables organizations to design experiences around performance guarantees.

How Does Network Intelligence Support Industry Use Cases?

Network data now creates value far beyond telecom.

Let’s explore several sectors.

Banking

Real-time network insights can:

• Detect anomalies during transactions
• Strengthen fraud prevention models
• Improve digital payment reliability

Connectivity intelligence ensures financial services remain stable during high traffic periods.

Utilities and Smart Homes

Smart meters and connected devices rely on consistent connectivity.

Network intelligence helps utilities:

• monitor device performance
• detect communication failures
• optimize smart grid operations

This improves service reliability for consumers.

Retail

Retailers increasingly rely on:

• in-store Wi-Fi
• mobile checkout
• IoT sensors

Network analytics helps optimize traffic flows and improve customer journeys.

What Challenges Should CX Leaders Watch?

Despite the promise, integrating network intelligence into CX strategies can be complex.

Common Pitfalls

1. Organizational Silos

Network teams, IT teams, and CX teams often operate independently.

Without alignment, insights remain unused.

2. Data Overload

Network analytics generates massive datasets.

Organizations must translate these insights into actionable CX improvements.

3. Misaligned Metrics

Technical metrics like packet loss may not resonate with CX leaders.

Bridging this gap requires shared experience-focused KPIs.

Key Insights for CX and EX Leaders

• Connectivity now defines digital experience quality.
• AI-driven services require resilient network infrastructure.
• Experience analytics must extend beyond applications.
• Cross-team collaboration between CX and IT is essential.
• Network intelligence enables predictive experience management.

FAQ: Network Intelligence and Customer Experience

Why is network performance important for customer experience?

Customers interact through digital channels that rely on stable connectivity. Poor network performance directly affects app reliability, transactions, and service delivery.

How does network intelligence improve digital journeys?

Network intelligence identifies latency, outages, and signal issues. This helps organizations fix problems before customers experience disruptions.

What role does AI play in network experience management?

AI analyzes large volumes of network data. It predicts failures, automates optimization, and enables autonomous infrastructure management.

Why are enterprises interested in Ookla’s data platform?

Ookla’s global dataset provides real-world insights into network performance. This helps enterprises benchmark services and optimize digital environments.

How can CX teams collaborate with IT on network intelligence?

CX leaders should integrate network metrics into journey analytics dashboards. Shared KPIs help align experience outcomes with infrastructure performance.

Actionable Takeaways for CX Leaders

1. Map Connectivity Dependencies
Identify where customer journeys depend on network performance.

2. Integrate Network Metrics Into CX Dashboards
Track latency, packet loss, and outage data alongside CX KPIs.

3. Align CX and IT Teams
Establish shared experience reliability goals across departments.

4. Use Predictive Analytics
Leverage AI models to detect potential network issues early.

5. Design Experiences for Connectivity Variability
Ensure apps degrade gracefully under weaker network conditions.

6. Monitor Real-World Performance
Use crowd-sourced network testing to understand customer environments.

7. Benchmark Competitors
Compare network experience performance across regions and providers.

8. Treat Connectivity as Part of the Experience
Customers don’t separate networks from services—your CX strategy shouldn’t either.

The acquisition of Ookla signals a broader transformation. Experience leaders must now think beyond applications and interfaces.

The future of CX will depend on how well organizations understand—and optimize—the invisible network layer powering every digital interaction.

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