Introduction to Shence Analysis
Sensors Analytics is a deep user behavior analysis product designed for enterprise clients. It supports private deployment and comprehensive data collection and modeling across client, server, business, and third-party platforms. This drives applications such as marketing channel effectiveness evaluation, refined user operations improvement, product feature and user experience optimization, management dashboards to aid decision-making, personalized product recommendations, and user tagging system construction. As a PaaS platform, it supports secondary development and can be integrated with internal IT systems such as BI, big data platforms, CRM, and ERP to build user data systems, unlocking the profound value of user behavior data.
Sensors Analytics' Product Advantages
Private deployment is possible
Eliminating customers' concerns about data storage security – When deciding on Sensors Analytics technology, we considered customers' concerns about data security and privacy, as well as their need to accumulate their own user behavior data assets for in-depth data application and secondary function development. Therefore, we made private deployment the core design concept of Sensors Data's products.
Basic data collection and modeling
Achieving seamless data integration for the same user across different sources—As the internet becomes increasingly integrated, a user's behavioral data on the same product needs to be collected from multiple different sources. These sources include iOS, Android, Web, H5, mini-programs, business data, historical data, and third-party data. To address clients' needs for cross-platform data collection and the integration of data from different sources for the same user, Sensors Data provides methods such as code tracking, full tracking, and import tools to connect data to Sensors Analytics. Furthermore, to solve the problem of cross-screen integration for a single user, Sensors Data also offers solutions for user ID mapping.
Real-time and flexible multidimensional analysis capabilities
Offering full-featured multidimensional analytics capabilities to dissect user behavior—dimensions and metrics do not require predefinition; funnel analysis, retention analysis, and distribution analysis can all drill down to any dimension. Sensors Analytics not only stores the most granular details of user behavior data but also supports private deployment, provides API interfaces, and supports secondary development. Data analysis is a broad field, and Sensors Data primarily meets clients' needs in the specific area of user behavior analysis. Sensors Data promises not to touch client data, helping enterprises use their internal data for analysis, focusing on user behavior analysis relevant to their business data.
Provides a PaaS platform for in-depth development.
We support secondary development using the underlying interfaces and functions—privatization does not equal customization. Sensors Data provides standard code for standard requirements. If a customer has only one standard data analysis need, they don't need to make any decisions and can directly use Sensors Analytics. If a customer has personalized data analysis needs, they can use Sensors Analytics' underlying data interfaces or perform secondary development on the product functions.
Sensors Analytics solves enterprise pain points
Business pain points
Marketing analytics gaps: High marketing costs and gaps in tracking user acquisition effectiveness make it difficult to monitor actual conversion rates across channels and accurately analyze ROI. Sensors Analytics offers channel tracking capabilities, allowing you to track the source of new users and intuitively evaluate channel acquisition capabilities with data. It also analyzes registration and paid conversions, measuring end-to-end channel acquisition quality and continuously adjusting channel influence strategies. Sensors Analytics also provides marketers with site-wide user behavior tracking, optimizing the site browsing experience and content interaction to improve registration lead conversion rates.
Product iterations cannot be quantified: The lack of real-time user behavior analysis capabilities makes it impossible to quantify the effects of product feature redesigns. Core process optimizations rely more on guesswork, and bug identification is delayed, leading to long-term losses. Sensors Analytics provides funnel analysis to help businesses improve user conversion rates, monitor core conversion processes (such as payment, registration, and account opening), and identify churn issues. Simultaneously, Sensors Analytics offers retention analysis to help businesses improve user retention, validate the most popular product features with data, provide user behavior path analysis, rationally distribute in-site traffic, fine-tune product layout and interactions, and enhance user experience.
Inaccurate user operations: A one-size-fits-all approach to marketing to all users makes it difficult to control ROI, and this imprecise, broad-based method fails to truly improve the long-term activity of existing users. Sensors Analytics helps businesses identify user groups with similar characteristics and deliver targeted marketing content tailored to their preferences, increasing engagement among different user groups. For users who have been inactive for a long time and are on the verge of churn, timely messages and coupons are sent to re-engage them. Simultaneously, Sensors Analytics establishes a user tagging system and user profiles, cross-analyzing user behavior with operational data to gain insights into core user characteristics and create precise user profiles.
Global operational metric monitoring is not real-time: While there is an operational BI system, operational metrics monitoring is not timely, and a core metric early warning mechanism is lacking, leading to delayed decision-making. Sensors Analytics provides managers with real-time, cross-departmental, and multi-business-line core metrics. Managers can receive automatically pushed subscribed reports to their email accounts on a regular schedule, and the system also offers customizable metric early warning capabilities. This helps various business departments monitor changes in core metrics in real time, quickly detect and analyze sudden anomalies, and truly achieve real-time data-driven business decision-making.
Technical pain points
Building your own platform is costly: Creating a new product data platform from scratch within an enterprise, with the requirement for rapid deployment, incurs extremely high costs. With the support of the Sensors Analytics service team, even without a dedicated data team, enterprises can quickly store user target behavior data, achieve full-platform data access to Sensors Analytics, and complete the construction of their enterprise data analytics platform.
Low efficiency in daily collaboration: Business analysts need to submit data requests to data engineers for their specialized research, entering a cycle of requirement specification, requirement assessment, iteration scheduling, and requirement correction. Sensors Analytics helps business analysts quickly get started using the product, without needing to request support from data engineers. They can view important daily data indicators through Sensors Analytics' data overview; at the same time, Sensors Analytics' nine data analysis models enable users to view custom indicators, perform cross-analysis across any dimension, drill down and roll up data, locate abnormal data indicators, set outlier alerts, and send email alerts to designated email addresses for abnormal indicators.
ETL work is complex: Data engineers need to handle various complex data in their daily ETL work. Enterprises don't need to worry about the complexity of various data and not knowing where to start. Sensors Data's ETL engineers will provide full assistance in handling the process. Even if an enterprise has massive amounts of historical data, importing it into Sensors Analytics is easy.
Repetitive Development for Common Requirements: For common data collection requirements such as traffic and clicks, R&D engineers need to redevelop the data for each specific business, resulting in a large amount of repetitive development work. Enterprises can use Sensors Analytics' full-tracking feature to collect browsing or click behavior across all pages at once, eliminating the need for repetitive development by R&D engineers. Sensors Analytics' integration SDK supports one-click activation, automatically collecting behavioral events such as startup, exit, page browsing, and control clicks, easily obtaining data such as PV, UV, and new users.