Bei Zhang

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Growth and Marketing Analytics leader at Grammarly and Point Digital Finance. Advise growth-stage companies in SaaS and Fintech such as Notta and Ark7 on analytics and GTM strategy.

Marketing Analytics
Performance Marketing
PLG SaaS
Fintech

Biography

Bei Zhang is a proficient data-centric growth practitioner with a rich background in the SaaS and Fintech industries. Currently, he is the Operating Partner at ExponentialX, a growth collective dedicated to scaling early-stage startups. Bei has held key roles such as Chief Business Officer at Collabhome, Head of Marketing Analytics at Grammarly, and Head of Growth at Point Digital Finance. He has also advised growth-stage companies like Notta, Moomoo, and Ark7 on analytics and go-to-market strategies, establishing himself as a trusted advisor in the field.

Throughout his career, Bei has demonstrated a strong track record in developing ROI-focused go-to-market strategies, setting up acquisition channels, and building robust data analytics foundations.

He was instrumental in optimizing marketing performance and product growth at Grammarly, and significantly grew revenue at Point Digital Finance, leading it to near-Unicorn status. Bei's experience spans notable companies like Oportun, Merkle, and Capital One Financial. He holds an MBA from New York University, a Masters of Engineering from the University of Rochester, and a Bachelor of Engineering from the University of Science and Technology of China.

Focus

  • Marketing and Growth analytics, data infra, metrics and reportings 
  • Advanced machine learning models in marketing spaces such as Life Time Value, Finance Forecast, Propensity Model, Segmentation, Causal Inference, MediaMix Modeling 
  • Launch and optimize paid ads campaigns 
  • Establish the end-to-end conversion optimization framework 
  • B2C/B2B SaaS and Fintech 

Client Interests

  • Early stage, product-ready companies looking to quickly validate the PMF, establish the presence and prepare to scale 
  • Growth stage companies looking to deepen their optimization via multiple levers, and build the next S-curve to sustain the growth

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