MarTech Podcast ™ // Marketing + Technology = Business Growth
Episode: What It Means For Companies To Be "Data-Rich" But "Insights-Poor"
Release Date: November 18, 2024
Host: Benjamin Shapiro
Guests: Steve Phillips (Co-founder and CEO, Zappi), Ryan Berry (President, Zappi)
Introduction
In this insightful episode of the MarTech Podcast ™, host Benjamin Shapiro delves into the critical issue facing many modern enterprises: being "data-rich" but "insights-poor." Joined by Steve Phillips and Ryan Berry from Zappi, the conversation explores the challenges of data accessibility and the transformative role of consumer insights in driving business growth.
Guest Introductions
Benjamin Shapiro begins by introducing his guests, highlighting Zappi's reputation in the marketing technology landscape:
“Zappi is a wonderful example of not only a beautiful brand, but also a tool that can help you understand your customers before you even have your product ready.”
— Benjamin Shapiro [02:40]
Steve Phillips elaborates on Zappi's mission:
“We are here to help enterprises make better advertising, make better brands, develop better brands. And we do that by collecting consumer insight data for them...”
— Steve Phillips [03:14]
Ryan Berry adds context about the evolution of consumer insights:
“Most companies are on some journey for digital transformation... there's very, very little data around why things happen and why people do what they do.”
— Ryan Berry [04:16]
Understanding "Data-Rich" vs. "Insights-Poor"
The core discussion centers on the paradox where companies possess vast amounts of data but struggle to extract meaningful insights from it.
Ryan Berry explains the disconnect:
“A large part of the problem... is that each of these learnings that brands are collecting is living and dying in someone's head or in some PowerPoint.”
— Ryan Berry [04:16]
Benjamin Shapiro highlights a common misconception among marketers:
“Most of the conversations that I have are a fear of lack of data... in reality, we all have these gigantic, vast pools of data that we really don't know what to do with.”
— Benjamin Shapiro [05:57]
Steve Phillips sheds light on why organizations feel "insights-poor":
“Companies and people know they have a lot of data, but they don't have the data that they need at the right time in the right place to make a decision.”
— Steve Phillips [07:16]
Challenges in Data Accessibility
The conversation delves into specific barriers that prevent companies from leveraging their data effectively.
Ryan Berry points out the siloed nature of consumer insights:
“Consumer Insights was analog, it doesn't actually exist in the data ecosystem.”
— Ryan Berry [10:24]
Steve Phillips emphasizes the gap between customer-centric rhetoric and practice:
“If you look at a CMO tech stack, it probably does not include consumer insight data. It doesn't include conversations that consumers have had about new brands, new products, new ideas. And that's crazy.”
— Steve Phillips [11:10]
The Importance of Consumer Insights
Understanding consumer behavior goes beyond raw data; it requires deep insights into motivations and preferences.
Ryan Berry elaborates on the need for diversified insights:
“There's a really important need for diversification... without having to go down to the fifth floor and ask the marketing research department...”
— Ryan Berry [09:32]
Benjamin Shapiro connects this to broader marketing challenges:
“We've gone away from figuring out why. It's understanding the customer... If you truly understand that last W, if you understand your why, you're going to be more successful as a marketer.”
— Benjamin Shapiro [14:53]
Strategies to Transform Data into Insights
The guests discuss actionable strategies to convert abundant data into actionable insights.
Steve Phillips advocates for a paradigm shift in data management:
“Flip the time... use technology to change that around. ...let's piece that data together and democratize access to it.”
— Steve Phillips [12:52]
Ryan Berry compares the transformation to the emergence of Revenue Operations in SaaS:
“If you adopt a tech stack for the way you learn and a consulting stack for the partners that you need to learn with... you can leverage that learning beyond just the specific campaign activation that you just did.”
— Ryan Berry [13:46]
The Secret Sauce for Marketers
Concluding the discussion, the guests share key takeaways for marketers striving to harness their data effectively.
Steve Phillips emphasizes the need to prioritize insights over data collection:
“Spend your time thinking about the insight and the application of the insight and not your time thinking about the collection of data.”
— Steve Phillips [12:52]
Benjamin Shapiro sums up the critical focus:
“We've gone away from figuring out why... understanding your why, you're going to be more successful as a marketer.”
— Benjamin Shapiro [14:53]
Conclusion and Takeaways
The episode wraps up with actionable insights for marketers:
- Diversify Your Data Sources: Incorporate both quantitative and qualitative data to gain a holistic understanding of your customers.
- Democratize Data Access: Ensure that consumer insights are accessible across all levels of the organization to inform decision-making.
- Prioritize Insights Over Collection: Shift focus from merely gathering data to interpreting and applying insights that drive business growth.
- Leverage Technology: Utilize advanced tools and AI to connect disparate data points and uncover meaningful patterns.
Benjamin Shapiro finalizes the episode with a powerful takeaway:
“If you truly understand that last W, if you understand your why, you're going to be more successful as a marketer and you won't be so reliant on just gobbling up as much data as you possibly can.”
— Benjamin Shapiro [14:53]
For more in-depth discussions and resources, listeners are encouraged to visit Zappi's website zappi.com and explore their latest offerings, including the Consumer Insights Revolution book and their weekly AI-focused newsletter.
This summary distills the key discussions and insights from the episode, providing a comprehensive overview for those who seek to understand the challenges and solutions around being data-rich but insights-poor in today's marketing landscape.
