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Aampe
United States
- San Francisco
- 06/10/2023
- Pre Series A
- $7,500,000
There are message delivery platforms, and then there's Aampe.
Founded by 3 seasoned data scientists, Aampe goes way beyond the standard "personalization" tools offered by most message delivery platforms (🙄) and offers your users a truly individually-tailored experience fueled by their own direct interactions with your app.
Aampe users see results like:
💳 330% boost in conversions
📈 80% more engagement from previously inactive users
🙋♂️🙋♀️ 1,100% Increase in user app sessions
🚪 50% lower uninstall/unsubscribe rate
...all without spending their precious time and energy building user journeys, segmenting users and bogging down their own engineering, CRM, and data scientist teams. 👍
So, are you ready to see what truly adaptive personalization looks like for your app?
Message us at hello@Aampe.com.
- Industry Technology, Information and Internet
- Website https://www.aampe.com/
- LinkedIn https://www.linkedin.com/company/aampe/about/
Related People
Paul MeinshausenCo Founder
Singapore -
Singapore
Co-Founder at Aampe, a B2B SaaS product that embeds routine customer messaging within parallelized and continuous experimentation to turn B2C customer communication into a growth engine.
Previously Co-Founder and Chief Data Officer of PaySense, a fintech consumer credit startup in India that was acquired by PayU in 2019 for USD $185M.
I'm a data scientist who cares more about science than I do about data. I enjoy building software that can approximate a human-devised solution to a problem and I like bringing it to scale. I especially enjoy taking data that is generated by software and exploring and exploiting it to improve a product and the solution to the original problem. I get most excited when I can use statistical analysis of data to generate solutions for problems that weren't recognized or considered when I started working.
Experienced data, product, and software thinker and builder. Demonstrated success in recruiting and managing high performance data science, engineering and product teams. Skilled in mapping nuanced and complex problems to analytical and statistical methods that can help solve them. Research background in behavioral, cognitive, and organizational science.
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