Draft:ScaleBun

Draft article not currently submitted for review. This is a draft Articles for creation (AfC) submission. It is not currently pending review. While there are no deadlines, abandoned drafts may be deleted after six months. To edit or make changes to this draft, simply click on the "Edit" tab at the top of the window. To be accepted, a draft should: Show the subject qualifies for a Wikipedia article by using multiple sources that meet four criteria. The sources should be (1) reliable (2) secondary (3) independent of the subject (4) talk about the subject in some depth. For some topics, there are alternative criteria. Be written from a neutral point of view Respect copyright and do not plagiarize. Do not copy-paste. It is strongly discouraged to write about either yourself or your business or employer. If you do so, you must declare it. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Last edited by Bearcat (talk | contribs) 7 hours ago. (Update) Submit the draft for review!

ScaleBun
Developer	ScaleBun
Operating system	Web browsers, iOS, Android
Platform	Web, React Native
Type	Product analytics, digital experience analytics, application observability, customer engagement, mobile attribution, feature management, over-the-air updates
Website	scalebun.com

ScaleBun is a software platform for web and mobile product analytics, digital experience monitoring, application observability, customer engagement, marketing attribution, experimentation, and software release management. According to the company's documentation, ScaleBun provides separate software development kits (SDKs) for browser-based applications and React Native applications, with collected data presented through a common dashboard and identity model.^[1]

The platform combines event analytics, funnels, retention analysis, session replay, performance monitoring, error and crash reporting, user profiles, audience management, feature flags, experimentation, marketing measurement, engagement tools, business analytics, and over-the-air JavaScript updates for React Native applications.^[2]

ScaleBun is intended to collect and associate behavioral, technical, marketing, and business information generated by websites and mobile applications. Its documented model associates events, sessions, identity information, performance measurements, application errors, network activity, and session-replay data with users and sessions.^[3]

The platform is organized around several functional areas, including monitoring, diagnostics, product analysis, user management, customer engagement, marketing, business analytics, experimentation, and React Native OTA release management.^[4]

ScaleBun uses different SDK implementations for browser and React Native environments. The Web SDK provides integrations for frameworks including React, Next.js, Vue.js, Angular, Svelte, and plain JavaScript applications. The React Native SDK provides an interface for iOS and Android applications.^[4][5]

Both SDK implementations use the same ScaleBun backend, project structure, environments, identity system, and analytics dashboard while exposing functionality specific to their respective platforms.

ScaleBun provides event-based product analytics for websites and mobile applications. Applications can record custom business events and associate those events with user identities, sessions, groups, and additional event properties.^[6]

The platform's analytics functionality includes event exploration, an event debugger, funnels, retention analysis, user flows, groups, segments, cohorts, dashboards, and reports. Funnels can be used to analyze multi-step processes such as registration, onboarding, checkout, account activation, or subscription flows.^[7]

Retention analysis can be used to measure whether groups of users continue returning to the product or performing specific actions after an initial event. Segments and cohorts allow users to be grouped according to attributes, behavior, or activity over time and reused within other areas of the platform.

The Web SDK also supports automatic collection of a number of browser interactions, reducing the need to manually instrument every basic interaction.^[6]

ScaleBun provides session replay for supported web and mobile applications. Session replay is used to reconstruct and inspect how a user interacted with an application during a recorded session.

The Web SDK uses DOM reconstruction to reproduce browser sessions rather than relying solely on periodic screenshots and includes privacy-masking controls intended to reduce the collection of sensitive information.^[8]

Replay information can be analyzed in relation to other session-level data such as application events, errors, performance measurements, and network activity.

ScaleBun also includes behavioral-analysis features intended to identify usability issues that may not result in application errors. These include rage-click detection, dead-click detection, scroll behavior, attention measurement, form abandonment, and exit-intent signals.

The dashboard additionally includes heatmaps, scroll maps, attention maps, form analytics, and call-to-action comparison tools.^[4]

These features are intended to allow product and user-experience teams to analyze where users interact with an interface, which areas receive attention, and where friction may occur.

ScaleBun includes application performance monitoring and real user monitoring capabilities for web and mobile applications.

For web applications, the SDK records Core Web Vitals including Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), together with measurements such as First Contentful Paint (FCP) and Time to First Byte (TTFB). It also creates page-load and single-page-application navigation transactions and records browser resources, jank, and related runtime information.^[9]

For React Native applications, ScaleBun documents monitoring for application launch performance, screen loading, network activity, user-interface hangs, frame performance, and JavaScript stalls.^[10]

Performance information can be associated with users and sessions, allowing technical measurements to be analyzed alongside product behavior and business events.

The dashboard also includes monitoring areas for app start, RUM overview, Web Vitals, network activity, screen load, page load, profiling, jank, resources, and traces.^[4]

ScaleBun records network activity generated by supported applications.

For web applications, the SDK can monitor browser networking mechanisms including Fetch and XMLHttpRequest and collect timing and failure information. It also documents support for monitoring WebSocket, Server-Sent Events, and `sendBeacon` activity.^[9]

According to ScaleBun's documentation, collection of request and response bodies is optional rather than enabled automatically.^[9]

Network activity can be analyzed in the context of the user session in which it occurred. This allows application errors, performance problems, or user drop-off to be examined alongside backend requests and response times.

ScaleBun provides error, crash, and application-diagnostics functionality.

Its diagnostic capabilities include JavaScript errors, native crashes, application-not-responding events on supported platforms, logs, user-submitted bug reports, issue assignment, and resolution workflows.^[4]

For web applications, ScaleBun can capture uncaught JavaScript errors and unhandled promise rejections. Error data can include contextual information such as stack frames, breadcrumbs, application version, browser information, tags, and session identifiers.

For React Native applications, ScaleBun provides crash and error collection intended to associate technical failures with the session and application state in which they occurred.^[11]

The platform also supports contextual bug reports submitted from within an application. These reports can be associated with available telemetry and session information.

ScaleBun includes an identity model for associating application activity with individual users.

Applications can initially record activity under anonymous or device-level identifiers. After the host application identifies a user, subsequent activity can be associated with that identified profile.^[12]

The People area of the platform includes profiles, devices, identity relationships, user properties, audiences, segments, cohorts, suppression lists, imported lists, user journeys, lifecycle stages, and user-health information.^[4]

The identity model is intended to connect activity across multiple sessions and, where applicable, multiple devices or application environments.

ScaleBun provides several mechanisms for grouping users according to behavior and attributes.

Segments can represent dynamically evaluated groups, while cohorts can represent groups defined according to actions taken during particular periods of time. Audiences are used as resolved populations that may be reused for targeting and activation.

These structures can be used throughout other parts of the platform, including analytics, engagement, marketing, experimentation, and feature targeting.

For example, an organization may create a group representing users who started an onboarding process but did not complete it within a specified period. That population can then be analyzed or targeted through another ScaleBun feature.

ScaleBun includes user-journey, lifecycle-stage, and user-health functionality.

These features are intended to model how users progress through different stages of a product relationship, such as registration, activation, engagement, purchase, subscription, inactivity, churn, or reactivation.

Lifecycle information can be combined with product events and user properties and can be reused in segmentation, analysis, engagement, and marketing workflows.^[4]

ScaleBun includes tools for communicating with users and collecting direct customer feedback.

The platform's engagement functionality includes push notifications, in-app messaging, message inboxes, email, coachmarks, ratings, surveys, feedback, and Net Promoter Score surveys.^[13]

Campaigns can be configured around audiences, triggers, content, and delivery rules. These capabilities can be combined with behavioral data collected elsewhere in the platform.

For example, users who begin but do not complete a product workflow can be grouped into an audience and targeted with a later communication.

The React Native SDK separately documents support for mobile push notifications and richer notification presentation.^[14]

ScaleBun includes tools for collecting direct customer feedback in addition to behavioral telemetry.

These include surveys, ratings, general feedback, and Net Promoter Score measurement. Such features are intended to allow product teams to compare what users do within an application with what users report about their experience.

Feedback and survey responses can be associated with audiences, user properties, and lifecycle information.

ScaleBun provides feature flags and remote configuration for controlling application functionality.

Feature flags allow an application to determine whether a particular feature or configuration should be available to a user without requiring a separate code deployment for every change.

ScaleBun supports percentage-based rollouts and targeting rules. A feature can therefore be introduced to a limited group of users before becoming available more broadly.

According to the Web SDK documentation, feature assignments can use deterministic local bucketing to provide consistent variant assignment. Flag and experiment information can also be cached for local evaluation.^[15]

Feature flags may also be used for remote configuration, operational controls, gradual product launches, and feature kill switches.

ScaleBun includes A/B testing, multivariate testing, and experiment analytics.

Experiments can be connected to feature flags or configuration variants. Exposure to different variants can then be analyzed through events and other product metrics.^[15]

Experiment results can be evaluated using measures such as conversion, engagement, retention, revenue, performance, or application errors, depending on the design of the experiment.

The platform's marketing area includes A/B tests, multivariate tests, flags and configuration, and experiment analytics.^[4]

ScaleBun includes marketing and acquisition analytics intended to connect acquisition sources with subsequent product activity.

Its documented marketing capabilities include campaigns, automations, customer journeys, channels, traffic sources, landing and exit pages, channel grouping, media partners, install sources, application-store optimization, acquisition intelligence, and campaign landing performance.^[4]

The platform also includes functions for understanding active users, activation, growth, loyalty, CRM activation, and lifecycle programs.

Marketing information can be associated with user behavior and later business outcomes.

ScaleBun includes web and mobile attribution functionality.

The documented dashboard includes an attribution overview, click-fraud analysis, self-attributing networks, postbacks, partner event mapping, server-side conversions, and mobile attribution functionality.^[4]

For Apple platforms, ScaleBun lists support for SKAdNetwork and AdAttributionKit-related workflows. For Android, the platform includes Android Install Referrer functionality.^[4]

The attribution layer is intended to associate acquisition information with later actions such as account creation, activation, purchases, subscription activity, or other business events.

ScaleBun's marketing functionality includes links, QR codes, partner-related workflows, and media-partner management.

These capabilities can be used to associate acquisition touchpoints with application activity and subsequent user behavior.

The platform also includes partner event mapping and postback functionality for integrations with external advertising and attribution systems.^[4]

ScaleBun includes analytics focused on user activation, active-user behavior, growth, loyalty, CRM activation, and lifecycle programs.^[4]

These tools are intended to analyze how users progress from initial acquisition toward repeated product use and commercially relevant actions.

Growth-related information can be combined with product events, lifecycle stages, user properties, attribution data, and financial outcomes.

ScaleBun includes a business analytics section focused on financial and commercial metrics.

Its documented capabilities include cost and return on advertising spend, revenue attribution, customer lifetime value, customer acquisition cost, unit economics, budget pacing, and cohort revenue.^[4]

The platform also includes analytics for purchases, transactions, refunds, chargebacks, subscriptions, trials, trial conversion, monthly recurring revenue, annual recurring revenue, and revenue churn.^[4]

These features are intended to connect product and acquisition activity with financial outcomes.

For subscription-based products, ScaleBun can be used to analyze recurring revenue, trial conversion, subscription activity, and churn.

ScaleBun provides over-the-air update functionality for React Native applications.

OTA updates allow compatible JavaScript bundles and associated assets to be delivered to installed mobile applications without requiring a new native application binary for every JavaScript-level modification.^[2]

The OTA system includes release channels, application environments, staged rollouts, targeting rules, adoption reporting, release-health monitoring, and rollback mechanisms.

The publishing workflow supports Hermes JavaScript bytecode. ScaleBun also documents differential update delivery where appropriate, SHA-256 integrity verification, and optional cryptographic signing of release artifacts.^[2]

A ScaleBun OTA release begins with the generation and publication of a JavaScript bundle for a supported React Native application.

The release is associated with an environment and channel. It can then be tested or restricted before becoming available to the intended population.

When an application checks for an update, the service evaluates whether an eligible release is available for the application's platform, channel, version, and targeting conditions.

An eligible application downloads the corresponding artifact, verifies it, stages it locally, and applies it according to the configured update policy.

Adoption can subsequently be monitored through information about downloads, installations, installation rate, and rollback activity.

ScaleBun uses release channels to separate different update streams.

For example, an organization may use separate channels for internal testing, beta distribution, and production users. Releases are associated with a channel, and applications receive updates from the channel to which they are assigned.

Channels are also associated with application environments, allowing development, staging, and production update activity to remain separated.

ScaleBun supports staged percentage-based release rollouts.

Instead of making a new update immediately available to every eligible application, an organization can initially expose the release to a limited percentage of users.

The rollout can subsequently be expanded if the release is operating as expected.

This mechanism is intended to reduce the number of users affected by problems introduced by a new JavaScript release.

OTA releases can include targeting conditions that restrict which applications or users are eligible for an update.

Targeting can be combined with release percentage and application compatibility rules, allowing organizations to deploy different releases to different user populations.

The platform also includes targeting-preview functionality intended to estimate which population would be affected by a release configuration.

ScaleBun's React Native OTA workflow supports bundles compiled for Hermes, the JavaScript engine commonly used by React Native applications.

Hermes bytecode can be generated as part of the publishing process where supported by the application configuration.

ScaleBun documents support for differential OTA delivery.

When an appropriate patch exists between the currently installed JavaScript bundle and a newer release, the client may receive a smaller differential artifact instead of downloading the complete bundle.

When a compatible patch is not available, the system can fall back to delivery of the full bundle.

ScaleBun's OTA system includes integrity verification for downloaded application artifacts.

The platform documents SHA-256 verification and optional Ed25519 cryptographic signing.

Under the documented signing model, the private signing key can remain under the control of the organization producing the release, while the corresponding public key is used for verification.

ScaleBun includes OTA adoption reporting intended to show whether devices have received and applied a release.

Adoption metrics distinguish between actions such as downloading, installing, and rolling back a bundle.

This allows organizations to distinguish a release being available from the release actually being executed by installed applications.

ScaleBun includes a release-health view for evaluating OTA releases after deployment.

The system can compare the selected release with an earlier release and display information related to installation, rollback, errors, crashes, or other release-health indicators.

Release-health information can be used while determining whether a staged rollout should continue.

ScaleBun documents automated release guards that can monitor technical signals after an OTA deployment.

Examples of signals include crash rate, application-not-responding rate, and error rate over a defined monitoring period.

Depending on configuration, a guard can be used to pause a release, initiate rollback behavior, or generate an alert.

ScaleBun's OTA design includes client-side recovery mechanisms intended to reduce the risk of a newly installed JavaScript bundle leaving an application in a repeated crash state.

The system retains a previously working bundle when a new bundle becomes active.

If the newly applied bundle fails during its initial startup period, the client can restore an earlier bundle during a subsequent application launch.

This recovery mechanism operates on the device rather than depending entirely on successful communication with the backend after the failure occurs.

ScaleBun provides configuration controls relating to user consent, telemetry collection, session replay, and handling of potentially sensitive information.

The Web SDK includes privacy and consent controls that can be used to determine when data collection begins and which types of data are collected.^[16]

Session replay documentation includes masking controls intended to reduce exposure of sensitive content.^[8]

Network request and response body collection is also configurable rather than automatically enabled.^[9]

ScaleBun's architecture uses queueing, batching, retry, and offline-handling mechanisms when transmitting application telemetry.

Different types of data can be collected through separate internal lanes while using a shared delivery layer.^[3]

This architecture is intended to reduce the effect of telemetry processing on the host application and allow data to remain queued when connectivity is temporarily unavailable.

ScaleBun's dashboard is divided into functional areas for monitoring, diagnosis, analysis, engagement, user management, marketing, business intelligence, workspace administration, settings, and OTA updates.

The Monitor area includes Live, Replays, All sessions, Heatmaps, App start, RUM overview, Web Vitals, Network, Screen load, Page load, Profiler, Jank, Resources, and Traces.

The Diagnose area includes All issues, Errors, Crashes, ANRs, Logs, Bug reports, Inbox, Assigned to me, and Resolved issues.

The Analyze area includes Events, Event Debugger, Form analytics, Scroll maps, CTA comparison, Attention maps, Exit intent, Funnels, Retention, Flows, Groups, Segments, Cohorts, Heatmaps, Vitals to Revenue, Dashboards, and Reports.

The Engage area includes Ratings, Feedback, Surveys, NPS, Push, In-app messages, Message Inbox, Coachmarks, Email, and Deliverability.

The People area includes Profiles, Devices, Identity graph, User properties, Audiences, Segments, Cohorts, Suppression lists, Imported lists, User journeys, Lifecycle stages, and User health.

The Marketing area includes Campaigns, Automations, Journeys, Channels, Traffic sources, Landing and exit pages, Channel grouping, Media partners, Install sources, ASO, Acquisition intelligence, SEO Autopilot, Attribution overview, Campaign landing performance, Click fraud, Self-attributing networks, Postbacks, Partner event mapping, Server-side conversions, SKAN and AdAttributionKit, Android Install Referrer, Links, QR codes, Partners, Active users, Activation, Growth, Loyalty, CRM activation, Lifecycle programs, A/B tests, Multivariate tests, Flags and configuration, and Experiment analytics.

The Business area includes Cost and ROAS, Revenue attribution, LTV and CAC, Unit economics, Budget pacing, Cohort revenue, Purchases, Transactions, Refunds and chargebacks, Subscriptions, Trials and conversion, MRR and ARR, Revenue churn, Exports, and Scheduled reports.^[4]

Workspace and settings functionality includes application management, team roles, usage and billing, integrations, SDK and API keys, audit logs, security, environments, access tokens, data and privacy settings, symbolication, alerts, webhooks, data export, data warehouse configuration, and compliance-related settings.

ScaleBun publishes a React Native package under the name `@scalebun/react-native` through the npm package registry.^[17]

The React Native SDK documentation describes support for modern React Native releases using the newer React Native architecture and compatibility with earlier versions through the legacy bridge.^[5]

ScaleBun also provides a browser SDK and framework-specific integration guidance for React, Next.js, Vue, Svelte, Angular, and plain JavaScript applications.^[4]

ScaleBun currently documents SDK support for React Native mobile applications and browser-based web applications.

The availability of individual features varies according to platform.

Web-specific capabilities include browser Core Web Vitals, DOM-based session replay, page-load analysis, scroll behavior, browser network instrumentation, and other browser-derived behavioral signals.

Mobile-specific capabilities include application startup measurement, screen performance, native crashes, ANRs, mobile attribution, and React Native OTA updates.

Both platform implementations use the same broader ScaleBun backend and dashboard architecture.

• Product analytics
• Web analytics
• Digital experience monitoring
• Application performance management
• Real user monitoring
• Session replay
• Feature toggle
• A/B testing
• Mobile advertising
• Marketing attribution
• Customer data platform
• Over-the-air programming
• React Native

• Official website
• Official documentation
• ScaleBun React Native SDK on npm

Category:Web analytics Category:Mobile software development