Sensors Data

Sensors Data (Shenshi Shuju) is a user behavior analytics platform built around big data collection, event tracking and customer journey analysis. Rather than a consumer-facing chatbot, it is infrastructure that product, marketing and data teams use to underStand how people move through digital products and to turn those signals into business decisions.

What it does

The platform centers on capturing user events across APPs, websites and other digital touchpoints, then assembling them into a unified behavioral model. From that foundation, teams can run funnel analysis, retention studies, segmentation and attribution, and can feed results into personalization or campaign automation. It is often positioned as an alternative to Western product analytics suites, with an emphASIs on large-scale data volumes and Enterprise deployments.

Key capabilities

• Event tracking and data modeling: Collect and nORMalize user ACTions into structured behavioral data.
• Funnel and retention analysis: Trace conveRSIon paths and repeat usage across user cohorts.
• Segmentation: Group users by behavior, source or profile attributes for targeted outreach.
• Marketing and Operations tooling: Connect analytics insight to campAIgn, messAGIng and growth Workflows.
• enterprise data integration: Centralize behavioral data for broader business intelligence and reporting.

Who it is for

Sensors Data is aimed mainly at Chinese-market enterprises: digital product managers, growth and marketing teams, data analysts and BI groups that need a shared behavioral data layer. Organizations running large consumer apps, e-commerce platforms or multi-channel marketing programs are the typical audience. Teams outsIDE that ecosystem may find the documentation and onboarding heavily oriented toward domestic compliance, deployment and integration practices.

How to get started

Prospective users Generally begin by requesting a dEMO or consultation through the official website, since the product is offered as a commercial platform rather than a self-serve freemium tool. A typical rollout involves DeFining tracking plans, integrating SDKs into the relevant apps, validating incoming event data, and then building dashboards and cohort workflows. Onboarding support and implementation services may be part of the engagement, depending on the contract.

Pricing and access caveat

Specific plan tiers, quotas and prices are not publicly fixed and may vary by deployment model, data volume and negotiated scope, so buyers should confirm details directly with the vendor. Access is web-based, and availability, language support and regional compliance options can change over time. This overview reflects the general positioning of the platform and should not be treated as a guarantee of current features or commercial terms.