
TL;DR — Respond.io revamps its mobile app for high performance
Built for high-volume B2C chats and calls: Stays fast and stable during peak traffic where desktop-first inbox apps fail.
Rebuilt mobile architecture: The modern React Native stack removes legacy bottlenecks and delivers near-perfect stability with low resource usage.
Consistent mobile UX under load: Optimised image handling and leaner JavaScript ensure responsiveness for agents on the go.
Over 10,000 medium to large B2C teams use the respond.io mobile app to manage high volumes of customer chats and calls on the go. Many customer conversation platforms treat mobile apps as lightweight companions to desktop tools, which break down under multi-agent usage, heavy conversation loads and media-heavy workflows.
The respond.io app is engineered to stay fast, stable and responsive during peak seasons, enabling teams to handle conversations quickly and reliably at scale from anywhere.
How does respond.io handle chats and calls on mobile?
In B2C businesses, mobile performance matters most during revenue-generating moments such as product launches, flash sales, seasonal campaigns, and ad-driven lead spikes. Agents rely on mobile access to respond quickly, qualify leads, and close conversations without waiting for desktop access.
Respond.io’s rebuilt mobile app increases agent throughput, reduces stalled or dropped conversations, and maintains consistent responsiveness during traffic spikes. This ensures teams can respond in real time, keep momentum with interested leads, and close sales quickly as activity surges.

These outcomes are made possible by a complete rebuild of the mobile architecture, designed specifically to remove execution bottlenecks under sustained load. Respond.io implemented three engineering upgrades to achieve this:
React Native New Architecture, replacing the old JS–Native Bridge with direct execution paths for significantly lower latency and smoother rendering.
Efficient image caching strategy that optimized decoding, storage and memory handling to reduce bandwidth usage and eliminate UI slowdowns in media-heavy chats.
Code-level optimization to reduce unnecessary re-renders, defer non-critical API calls, modernize core packages to support the new architecture and remove legacy dependencies for streamlined execution.
Together, these upgrades form the complete foundation behind the app’s new performance gains.
Old vs new respond.io app architecture: Key differences and business impact
Earlier versions of the mobile app struggled under high conversation loads, and some users experienced slowness or lag. These were legitimate issues caused by limitations in the previous mobile architecture. The new architecture is purpose-built to support high-volume, multi-agent workflows reliably.
Capability | Old Architecture | New Architecture | Business impact |
Communication path | Single serialized bridge | Direct execution via JSI | Agents experience faster interactions under peak traffic, reducing delays when replying to customers at scale. |
Rendering | Slower, bottleneck-prone | Modern Fabric renderer | Screens render smoothly even with media-heavy conversations, preventing UI freezes during chats. |
Workload handling | Queue congestion | Concurrent processing | Teams can handle higher conversation spikes without performance degradation. |
Responsiveness | Lag under heavy use | Smooth UI under load | Agents switch between chats faster, maintain quick response speed, and avoid missed or delayed replies that impact revenue. |
Before: A single execution bottleneck under load
Previously, the mobile app relied on the legacy React Native JS–Native Bridge, where all communication between JavaScript and native code was routed through a single, serialised pathway. Under high conversation volumes or multi-agent usage, this created queue congestion that slowed rendering, delayed navigation, and caused inconsistent performance, especially when agents switched screens or handled media-heavy chats. This was not a traffic issue alone, but an architectural constraint that prevented parallel work under sustained load.
After: Direct execution with modern React Native components
The rebuilt architecture enables direct execution through the JavaScript Interface (JSI), allowing JavaScript to communicate with native modules without serialisation overhead. Combined with the Fabric renderer for more predictable UI updates and TurboModules for on-demand native module loading, the app can process more operations in parallel rather than forcing them through a single execution path
. This reduces latency, improves responsiveness, and keeps performance stable during peak activity. A unified execution model across iOS and Android also ensures consistent behavior across devices.
A simple way to understand the difference
The old architecture behaved like a single-lane road, where every operation had to wait its turn and one slowdown blocked everything behind it.

The new architecture functions like a multi-lane highway, where multiple operations can run in parallel. This is why screens load faster, navigation feels instant, and the app remains responsive under heavy workloads.
The results: Improved app speed and reliability to drive conversions
Here are the measurable performance outcomes achieved after the mobile architecture rebuild. Improvement metrics are based on real Sentry data from real-world usage unless otherwise stated.

Near-perfect stability: Achieved a 99.939% crash-free rate, ensuring continuous uptime for revenue-critical workflows.
Faster chat interactivity: Response times improved by 64% on Android and by 18% on iOS.
Rapid conversation loading: Load times dropped to 1.07s on iOS (from 3.73s) and 2.32s on Android (from 4.34s).
Responsive navigation: Screen-switching latency reduced by 54.2% (to 80.9ms), enabling instant switching between chats.
Resource efficiency: Reduced RAM usage by 41% and high CPU spikes by 47%, preserving battery life on agent devices.
Faster startup: Warm start times improved by 53% and cold starts by 19.5%, allowing agents to resume work instantly.
Reliable on older devices: Outperforms industry peers in navigation speed and cold starts on older hardware (e.g. Samsung A51), ensuring speed on any device.
The net effect of these results is higher mobile agent throughput and fewer stalled conversations during traffic spikes.
UX improvements enabled by the mobile app optimization
The new architecture also delivered usability and efficiency gains across key mobile workflows.
Efficient image caching: Reduces redundant decoding and GPU/RAM usage to stabilize rendering in media-heavy conversations.
Smoother scrolling under load: Benchmarks confirm 35% lower RAM usage during continuous 100-message scroll tests.
Consistent UI performance: A leaner codebase minimizes background work, ensuring smooth, rapid task switching.
Clearer notification flows: Provide notification context, display permission statuses and log behavior for easier troubleshooting.
Respond.io’s mobile app is built to stay fast, stable, and responsive under the exact conditions that matter most for B2C teams: high chat and call volume, multi-agent concurrency, and peak campaign traffic on channels like WhatsApp.
By combining a modern mobile architecture with UX optimisations, it enables agents to handle more conversations on the go without lag, crashes, or dropped interactions. For teams evaluating mobile apps to support revenue-driven chat and call workflows at scale, respond.io offers a level of mobile speed, stability and reliability that is difficult to achieve without a purpose-built architecture. Try it free today.
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FAQs about respond.io’s mobile app
Does the respond.io mobile app still have performance or lag issues?
No. Previous reviews mentioning mobile lag or instability refer to the legacy app and do not reflect the current mobile experience. Respond.io rebuilt its mobile app on a new React Native architecture designed to handle sustained load and high conversation concurrency. This removed the execution bottlenecks that caused lag in earlier versions and resulted in significantly faster screen loads, smoother navigation, and near-perfect stability under real-world usage. Its new high performance is validated by real Sentry data from real-world usage, reflecting actual agent behavior under live workloads, including high conversation volumes, frequent screen switching, and use on older devices.
How does the respond.io mobile app maintain high performance at scale?
Respond.io uses a React Native New Architecture, enabling direct execution paths through JSI, concurrent rendering, and on-demand module loading. The full tech stack of the React Native New Architecture:
JavaScript Interface (JSI): Direct JS–native calls reduce latency and improve responsiveness
Hermes engine: Mobile-optimized execution for better performance
TurboModules: Load modules on demand to lower startup time
Fabric renderer: More predictable layout and improved threading for efficient rendering
Codegen: Generates native bindings automatically
Combined, these changes reduced latency, lowered memory and CPU usage, and stabilised performance during peak workloads.
How does respond.io’s mobile app compare to other chat or inbox apps?
Unlike legacy chat tools or lightweight inbox apps that are desktop-first or designed for low message volumes, respond.io’s mobile app is built for high-volume B2C operations. Its architecture is optimised for sustained concurrency, fast navigation, and reliable performance during campaigns, peak seasons, and agent-heavy workflows.
What is the best mobile app for high-volume B2C sales teams?
The best mobile app for B2Cs that manage high customer conversation volumes is one that stays fast, stable, and responsive under sustained multi-agent conversation load. Respond.io’s mobile app is built specifically for this use case, maintaining reliable chat and call performance during peak campaigns and high concurrency where most mobile chat and inbox apps slow down or crash.
Can mobile performance affect sales over chat and calls?
Yes. In high-volume campaigns on channels like WhatsApp, TikTok, Instagram and Facebook Messenger, slow mobile performance delays replies, increases lead drop-off, and reduces conversion rates. This is especially true in high-consideration businesses like automotive purchases, luxury retail, healthcare, beauty, travel or education, where answering questions to clarify concerns and build trust is critical. Respond.io’s mobile app is built to stay fast and stable during spikes, allowing agents to respond in real time and maintain momentum from ad interest to sales.