VANCOUVER, CANADA

Ji Chen.

Product & business analytics

I connect user behaviour with product and business decisions. My background spans applied psychology and software engineering.

My work spans lifecycle and incentive analytics at JD Daojia, cloud photo analytics at Baidu, and enterprise software at D3 Security and PingCAP / TiDB.

Explore my work LinkedIn
Ji Chen

01 / WORK

JD Daojia · REACTIVATION & INCENTIVE ECONOMICS

Who needs an incentive to return?

Use customer response, holdouts, and subsidy cost to shape segmented offers and a repeatable campaign strategy.

Campaign testing & rollout
JD Daojia · PRICING & PRODUCT EVALUATION

Was the subsidy buying repeat business?

Connect package use, repeat purchase, and modeled subsidy efficiency to product and pricing decisions.

Evaluation & pricing iteration
Baidu · REVENUE DIAGNOSTICS

Sales rose. Recognized revenue fell.

Follow plan mix and purchase batches to distinguish weaker active purchasing from renewal performance.

Diagnosis & recommendations
Baidu · GROWTH STRATEGY

Growth opportunities

Connect geographic demand, audience momentum, customer value, and feature use to a focused growth agenda.

Analysis & recommendations

More case studies

PRODUCT ITERATION & TEST EVALUATIONCheck-in redesign

Turn weak return moments into clearer rewards, then review new and existing check-in participants separately.
CUSTOMER LIFECYCLEFrom first order to repeat purchase

Locate the first-to-second-order bottleneck and translate channel differences and order timing into follow-up priorities.
PRODUCT & ACQUISITION ANALYTICSWhy did new-user retention fall?

Separate platform mix, channel quality, and competing explanations before attributing a retention decline to the product.
SUBSCRIPTION MONETIZATIONSubscription monetization

Diagnose the first paid moment, the purchase funnel, pricing clarity, and value after the first payment.
FORECASTING & CHANNEL ECONOMICSAcquisition planning

Work backward from a DAU goal, compare acquisition schedules, and test the economics behind resource choices.
BI & DATA OPERATIONSReporting reliability

Repair data production, standardize core metrics, and make recovery and monitoring part of everyday reporting.

Figures are synthetic, not company results. The cases preserve the original analytical approach and directional conclusions. Recommendations and implemented work are identified separately.

More work to come

Tencent · CASE OUTLINE

Are we buying clicks or valuable customers?

Coming soon

02 / HOW I WORK

  1. Define the decision.

    Agree on the business outcome, the metric definition, and the cost constraints.

  2. Understand the need and timing.

    Use the user’s goal, recent behaviour, and lifecycle stage to choose an action and its timing.

  3. Measure the extra value.

    Compare outcomes and costs with a credible baseline; use experiments where possible.

  4. Close the loop.

    Work with product, operations, and engineering to test, review, and make useful findings repeatable.

03 / EXPERIENCE

PingCAP

Part-time analytics

Dec 2025 – Present

DATABASE SOFTWARE

TiDB · Distributed SQL database

D3 Security

Software engineering

Mar 2025 – Nov 2025

CYBERSECURITY

Security workflow automation

Baidu

Senior data analyst

Aug 2022 – Jul 2023

CONSUMER CLOUD

Cloud photo & subscription product

Tencent

Data analyst

Aug 2021 – Aug 2022

DIGITAL CONTENT

Content feed & discovery

Meituan

Data analyst

Apr 2020 – Aug 2021

LOCAL COMMERCE

Grocery & local services

JD.com

Data analyst

Jun 2018 – Apr 2020

LOCAL RETAIL & DELIVERY

JD Daojia · On-demand grocery & local retail