Eliminate Silent Revenue Leakage
Before It Compounds

Silent revenue leakage is the cumulative revenue loss caused by experience friction that no existing tool surfaces. Backend monitoring tells you servers are healthy. App observability gives you crash counts, ANRs, and frozen frames. But neither tells you which specific interaction broke, why it broke, or what it cost the business. The result is that slow checkouts, overlapping UI elements, network-level incompatibilities, and degraded journeys affecting specific device, region, or ISP segments compound silently for days or weeks — eroding conversion and retention while every dashboard shows green.

Backend APM monitors server health and infrastructure. App observability tools like crash and performance SDKs surface symptoms — crash rates, ANRs, frozen frames — but stop there. They don't tell you which user interaction triggered the issue, what the root cause was, or what business outcome it affected. Pulse connects all three. It operates at the experience layer, detecting friction across specific combinations of device, OS, region, ISP, and app version, then traces each regression to the exact interaction and journey step where it occurs and quantifies the revenue impact. Your observability stack might show a 0.3% crash rate; Pulse shows you that a broken add-to-cart flow on a specific device line is silently costing you conversions every hour.

Pulse detects any issue that prevents users from experiencing your product the way they should — far beyond what crash or ANR reporting covers. It surfaces slow interactions, layout shifts that obscure tap targets, rendering failures that block key journeys, API latency that stalls checkout flows, and network-level anomalies that silently drop traffic from entire segments. Critically, Pulse analyzes across dozens of dimensions simultaneously — region, device, OS version, ISP, app version, and more — to uncover regressions that only affect specific combinations of these factors. These narrow but high-impact issues are invisible to aggregate metrics and go unnoticed for weeks, but Pulse flags them within minutes and ties each one to a specific interaction, root cause, and business outcome.

PulseAI is a conversational analytics engine built into Pulse. You ask natural-language questions — like "Why did checkout conversion drop on Android this week?" — and PulseAI runs automated root-cause analysis across sessions, cohorts, and experience metrics, returning an actionable answer with supporting evidence in seconds.

Pulse integrates via a lightweight SDK that takes minutes to add — a single script tag for web, or a thin native module for iOS and Android. No refactoring of existing code is required, and the SDK is designed to have zero measurable impact on app performance.

Pulse is built for any digital product where user experience directly impacts revenue. Core verticals include e-commerce (checkout and browse friction), fintech (onboarding and transaction completion), gaming (in-app-purchase flow and session stability), and media and streaming (playback start-time and engagement drops).

Pulse correlates experience metrics with business outcomes at the session and cohort level. When it detects a regression, it isolates the affected segment — whether that is a specific device, OS version, geography, or ISP — and measures the conversion-rate delta against comparable unaffected cohorts. It then projects the annualized revenue at risk from that regression, giving engineering and product teams a concrete dollar figure to prioritize against. This turns vague UX complaints into quantified business cases.

Yes. Pulse is designed with privacy and security at its core. All session data is encrypted in transit and at rest. Sensitive fields like payment details are automatically masked during session replay. Pulse supports SOC 2 compliance requirements and can be deployed in your own cloud environment for full data residency control.