Redefining the Customer Data Platform (CDP) for New Energy Vehicle Companies

The article introduces the urgency of redefining the Customer Data Platform (CDP) as the internet reaches a bottleneck and the new energy automotive sector experiences rapid growth, attracting large numbers of talent.

Why redefine CDP?

Traffic structure has shifted: traditional automotive sales relied on vertical media and 4S dealers, but digital transformation since 2018 has created private traffic pools through apps and mini‑programs, extending the conversion cycle from media placement to test‑drive, sales, and after‑sales.

Different departments have distinct CDP requirements: IT focuses on tool‑oriented, high‑availability systems, while digital marketing seeks rapid campaign deployment, performance monitoring, and ROI tracking.

Understanding of CDP varies widely; some view it as a data‑type system, others as an analysis or marketing platform.

"Redefine" meaning

Value perspective : From a financial view, all costs across the long sales cycle (lead distribution, test‑drive, events, etc.) should be allocated to each vehicle to assess true activity value.

User‑data asset perspective : Emphasize the value of user‑profile tags rather than sheer quantity.

Product definition perspective : Use the automotive CDP to support smart‑cockpit definition, vehicle feature planning, and target‑group identification.

Scope redefinition

Traffic stage – public‑domain media and events.

Fan stage – public‑domain fan data.

User stage – private‑domain data from apps/mini‑programs.

Clue stage – monitoring whether a user becomes a sales lead.

Owner stage – post‑sale engagement, referrals, and car‑life scenarios.

Base‑tool redefinition

Unified data collection.

Unified data cleaning.

Unified data modeling.

Unified data analysis.

Unified data output.

Value after redefinition

Rapid support for different marketing phases (e.g., new‑car launch, order fulfillment, delivery).

Increased CDP reuse across marketing, sales, and after‑sales departments.

Enhanced scalability to extend from vehicle sales marketing to smart‑cockpit marketing.

Avoidance of duplicated development efforts.

CDP construction approach for a typical new‑energy car company

Full‑view architecture : Integration → Modeling → Insight → Conversion, covering public, semi‑public, and private traffic channels.

Data integration : Consolidate data from all business systems and channels.

Data modeling : Tag center, strategy center, and analysis center.

Data insight : Build comprehensive user and audience profiles across domains.

Data conversion : Leverage marketing automation (MA) to quickly launch campaign pages and capture leads.

Implementation strategy (six core phases)

Product building – Deploy a unified DMP/CDP/MA solution.

Full‑domain data ingestion – Integrate public, semi‑public, and private data sources.

Public‑domain marketing support – Monitor ad performance and provide strategic guidance.

Semi‑public‑domain marketing support – Analyze social‑media (WeChat, Douyin) effectiveness and automate operations.

Private‑domain marketing support – Enable fine‑grained operations for user, sales, delivery, and after‑sales.

Business co‑creation & platform self‑building – Extend scenarios such as smart‑cockpit personalization and develop custom applications.

Key considerations

Procurement vs. self‑development : Purchasing a mature CDP offers rapid rollout, while self‑development provides better long‑term extensibility; a hybrid approach (core modules purchased, extensions built in‑house) is recommended.

Capability expansion : New‑energy automotive focus on product definition, smart‑cockpit, and autonomous driving; CDP must evolve to support these emerging domains.

Data security and privacy : Sensitive user data requires compliance checks, privacy protection mechanisms, and secure data pipelines throughout the CDP stack.

The speaker, Zhao Song, is the Head of Big Data Products at Jike Automotive, with extensive experience in digital transformation, user profiling, and CDP implementations for automotive manufacturers.