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Clint Dunn
Customer Predictions @ Wilde
Clint Dunn is the co-founder of Wilde, a company that specializes in predictive analytics for e-commerce and retail businesses. Based in New York, Dunn has a background in economics, having earned his Bachelor of Arts from Hobart and William Smith Colleges in 2017. His professional journey includes significant roles in data and marketing analytics, notably at companies like Afterpay and Hairstory.
Professional Background
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Co-Founder, Wilde (June 2022 - Present)
- At Wilde, Dunn focuses on helping businesses predict customer lifetime value (LTV) and churn rates, enabling them to make informed decisions based on data-driven insights. Wilde's platform serves as a tool for retail brands to enhance customer engagement and profitability through predictive analytics .134
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Marketing Analytics Lead, Afterpay (September 2021 - May 2022)
- Dunn led data infrastructure initiatives, leveraging analytics to optimize marketing strategies .1
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Head of Data, Hairstory (January 2020 - August 2021)
- In this role, he was responsible for building and managing data teams to support business operations .1
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Other Roles
Skills and Expertise
Dunn possesses extensive knowledge in data science and its application in e-commerce. His work at Wilde emphasizes the importance of integrating customer data to predict behaviors that drive business success. He is particularly interested in how smaller businesses can leverage data science to compete effectively in the digital marketplace .4
Personal Insights
In interviews, Dunn shares his passion for entrepreneurship and the lessons learned throughout his career. He highlights the transformative potential of data analytics for businesses of all sizes, asserting that effective use of data can significantly enhance customer relationships and business outcomes .24
Clint Dunn's journey reflects a blend of technical expertise and entrepreneurial spirit, positioning him as a notable figure in the field of predictive analytics within the retail sector.
Highlights
247 brands, $2.3B yearly GMV, 18M consumers, and 150 hours of my time.
🎉🎉 We're releasing Wilde's E-commerce Industry Report 🎉🎉
This has been the most difficult, rewarding, and insightful project I've ever undertaken.
Questions we answer:
- Is the industry growing?
- Is inflation driving higher AOV?
- What do Wilde's models predict will happen in the next 12 months?
- What separates growing brands from floundering brands? (not what I was expecting)
Overall, things are better than they appear.
But we found a few key areas you'll want to focus on if you want to be one of the 53% of brands that are growing.
If you care about the e-com industry and where we're headed then this is a must-read.
Personally, I'm excited to hear your feedback and share follow-up analyses based on your questions.
Comment below and I'll dm you the report
(we need to be connected first)
A career in data is one of the best paths to starting your own company.
But it's not because of your data skills.
Data teams are typically stretched too thin, serving every org in a company.
Few positions allow such a purview.
You build and present metrics for finance, marketing, operations, etc.
You need to speak their language, understand their needs, give them superpowers.
That sets you up perfectly to lead those teams.
And the best data people I know are great storytellers.
So much of running a company is telling stories.
Nathan Gould and I went deep on all this, plus my obsession with LTV as a north star metric in his podcast.
I'll share a link in the comments, give it a listen.
(At least tune in so you can appreciate that Nathan has the best podcast voice in the tech world.)
