The CPG Guys Data Clean Rooms with Habu's Matt Kilmartin
Jun 4, 2022
41:37
The CPG Guys, PVSB and Sri are joined in this episode by Matt Kilmartin, Co-founder & CEO of Habu, a Data Clean Room software company that makes it seamless for businesses to generate high-value analytics from controlled datasets, while protecting the privacy of consumers and the rights of data owners.
This episode is sponsored by Habu.
Follow Matt Kilmartin on LinkedIn at: https://www.linkedin.com/in/mattkilmartin/
Follow Habu on LinkedIn at: https://www.linkedin.com/company/habu-inc/
Follow Habu online at: https://habu.com/
Matt answers these questions:
Follow Matt Kilmartin on LinkedIn at: https://www.linkedin.com/in/mattkilmartin/
Follow Habu on LinkedIn at: https://www.linkedin.com/company/habu-inc/
Follow Habu online at: https://habu.com/
Matt answers these questions:
1) Take us through your career journey from Akamai to HABU. What prompted you to come here to HABU? Why data & analytics infrastructure leadership?
2) I’d love to go through the history of HABU. Where did you start, what prompted interest in this space? What’s the evolution over time?
3) Let’s decompose the mission statement of HABU - Unlock the true potential of data - Connect to data wherever it lives, even across a disparate universe, all at unparalleled scale. Give us the scoop on what this means to brands, why is HABU a leader in this? We will decompose each of the 3 segments of your offerings later (data model and enrichment, advanced segmentation and privatization, clean room software, customer journey & activation).
4) Let’s now discuss data modeling & enrichments. What are your capabilities in helping brands here and what areas should brands focus on for application of data models? Why are you best qualified to help a brand do this?
5) Once a good solid data model is built and optimized, segmentation is the next step for focus? What’s the role of 1P data that a brand may have in this? How does HABU help with segmentation?
6) Give us the 101 on clean rooms since it’s a capability of yours? What can clean rooms enable for your clients, give us data based objective examples of outcomes from clean rooms.
7) How does HABU help a retailer with their data and insights journey? What examples do you have of successful partnerships?
8) What advice do you have for CPG leaders through work you have done and learned with brands? How can they prepare for an uncertain future that we are currently experiencing?
2) I’d love to go through the history of HABU. Where did you start, what prompted interest in this space? What’s the evolution over time?
3) Let’s decompose the mission statement of HABU - Unlock the true potential of data - Connect to data wherever it lives, even across a disparate universe, all at unparalleled scale. Give us the scoop on what this means to brands, why is HABU a leader in this? We will decompose each of the 3 segments of your offerings later (data model and enrichment, advanced segmentation and privatization, clean room software, customer journey & activation).
4) Let’s now discuss data modeling & enrichments. What are your capabilities in helping brands here and what areas should brands focus on for application of data models? Why are you best qualified to help a brand do this?
5) Once a good solid data model is built and optimized, segmentation is the next step for focus? What’s the role of 1P data that a brand may have in this? How does HABU help with segmentation?
6) Give us the 101 on clean rooms since it’s a capability of yours? What can clean rooms enable for your clients, give us data based objective examples of outcomes from clean rooms.
7) How does HABU help a retailer with their data and insights journey? What examples do you have of successful partnerships?
8) What advice do you have for CPG leaders through work you have done and learned with brands? How can they prepare for an uncertain future that we are currently experiencing?
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FMCG Guys Website: http://fmcgguys.com
DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent.
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