Kingho Wang

Kingho Wang 王钧灏

Commercial Strategy × AI Product · Data-Driven Growth · 5 Years in Ad Operations

B.Eng. · Beijing
Currently employed in Beijing · Open to: Commercial Strategy PM / AI Commercialization PM
Portfolio: 3 project cases → Download PDF résumé ↓ 中文版简历 →
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Five years in commercial ad operations, with my work extending from campaign execution into strategy, data and product improvements. Three core strengths: monetization (fluent in auction delivery and traffic-monetization mechanics, weighing trade-offs from both advertiser ROI and platform revenue perspectives; worked on TCM & healthcare growth from cold start to scale), data (analysis was 70-80% of my work; linked AI daily reporting, Grafana-Lite drill-downs and MRD feedback into a daily data-investigation workflow), and product delivery (led a WeCom acquisition-flow redesign; built an AI creative workflow from material insight and Agent production through delivery validation). An industrial-design background grounds my user perspective, backed by the technical fluency to work directly with engineers.

1Selected Projects · Product / Strategy / AI Practice

Led during current employment: the WeCom acquisition-flow redesign, AI ad-creative production and validation, and the AI reporting / data-investigation workflow.

WeCom acquisition flow: replacing long-press QR recognition with a tap

Product redesign · Deployed · Validated with post-launch data

Where users dropped

The old H5 flow required users to long-press a QR code, then choose recognition from the system menu. Many older users were unfamiliar with this step and left before adding WeCom.

What I changed

I used a WeCom customer-service chat that the mini-program could open as a bridge. It automatically sent text and a card, both pointing to the same acquisition link, so a tap on either entry continued the add-contact flow.

Post-launch result

Impression-to-WeCom-contact conversion rose 50%+, and impression-to-address conversion rose 40%+. Downstream advertiser conversion held flat while CPM improved.

Using ad data to guide AI creative production, then validating it in delivery

Manual analysis · Agent execution · Human spot checks

Analyze the data

I reviewed second-by-second creative performance and segment-level data, manually identified reusable and weak parts, and turned them into production recommendations for a new SKU.

Produce the creative

I built Wukong Agent on grok-built, split editing into task cards, and used editing scripts and automated QA to constrain a non-multimodal model. It generally produced a review-ready cut in one pass, followed by human spot checks.

Validate in delivery

Combined CPM and CTCVR performance ranked upper-middle within the same-period, same-SKU full creative set, while reducing manual follow-up and repeat production.

AI ad reporting and issue investigation

AI triage · Human verification · MRD feedback

AI flags leads

The analytics agent uses fixed metric definitions to summarize core performance, anomalies and investigation leads each day, reducing report preparation and data investigation from hours to minutes.

Operators verify

Operators drill down in the internal big-data dashboard Grafana-Lite to verify the issue and its affected scope from detailed data instead of directly accepting AI conclusions.

Feed back to product and engineering

I turn confirmed issues and supporting data into one to two MRDs per week for product and engineering review.

2Work Experience

Beijing Taizi Liudong Technology Co., Ltd. · Ad Monetization Operations

Piaoquan Video
2023.11 - Present
HealthcareInterest Education
  • Industry commercialization operations: responsible for taking TCM & healthcare from cold start to scale, growing its budget share from 5% to 90%+; participated in commercialization strategy design and execution.
  • Client portfolio and budget stability: served 60+ clients across interest education and TCM & healthcare at ¥300M+ annual-spend scale; tracked industry trends, spend delivery and budget stability.

Baidu (China) Co., Ltd., Shenzhen Branch · Client Operations

Baidu
2022.11 - 2023.07
EducationHealthcare
  • Monetization model design and playbook replication: designed a "livestream + low-cost trial + bundled books" closed-loop offer and refined lead-screening and delivery practices, lifting lead qualification rate from 20% to 60%; codified it into a playbook rolled out across five clients; received the "Best Newcomer" award

Shenzhen Yike Digital Technology Co., Ltd. · Ad Operations

Yike Digital
2020.06 - 2022.07
Finance
  • Finance 0→1 growth system: built a WeChat + Douyin delivery system from scratch (¥100M+ annual-budget scale); lookalike audience tests lifted conversion +27% and reduced conversion cost 13%; creative assets I led ran at 14% below the overall cost benchmark and received the company’s "Golden Lion Creative" award

3Education

Beijing Normal University (Zhuhai) · Industrial Design · B.Eng.

2016.09 - 2020.06

Student leader in the University Youth League Committee's Publicity Department; recognized as an Outstanding Student Leader (top 10%).