To mark 25 years of insight communities, we’ve reimagined our most popular guide, Customer Inside, to explore where insight communities have been, where they are and where we’re taking them next.
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We know stronger relationships build stronger businesses. That’s why we leverage insights from online communities to build the best relationships with our clients. It inspires us to foster deep, culturally intelligent connections between people and brands that lead to better customer engagement and experiences and durable business growth. Through trusted relationships and the power of insight communities, we change what our clients do, not just what they know.
In today’s environment, brands need to learn to give as much as they seek to get. Thriving brands invest in their most valuable customer relationships, strategically, intentionally and confidently to deliver an unforgettable brand experience.
Working with C Space, we came up with a novel approach. What if we met our customers as people, not as data, in an engaging way that captivated the team and taught them at the same time.
# Example data data = pd.DataFrame({ 'A': np.random.rand(100), 'B': np.random.rand(100) })
# Creating a new feature 'vec643' which is a 643-dimensional vector # For simplicity, let's assume it's just a random vector for each row data['vec643'] = [np.random.rand(643).tolist() for _ in range(len(data))]
# Now, 'vec643' is a feature in your dataset print(data.head()) This example is highly simplified. In real-world scenarios, creating features involves deeper understanding of the data and the problem you're trying to solve.
We have worked with lots of consultants, but no one has come in and understood our culture and our processes faster than C Space.
# Example data data = pd.DataFrame({ 'A': np.random.rand(100), 'B': np.random.rand(100) })
# Creating a new feature 'vec643' which is a 643-dimensional vector # For simplicity, let's assume it's just a random vector for each row data['vec643'] = [np.random.rand(643).tolist() for _ in range(len(data))]
# Now, 'vec643' is a feature in your dataset print(data.head()) This example is highly simplified. In real-world scenarios, creating features involves deeper understanding of the data and the problem you're trying to solve.
We’ve spoken with 1,500+ consumers to decode shifting mindsets in the age of agentic AI. Discover what it means for your brand, messaging and innovation strategy.
At TMRE on 10/28, learn how New Balance tapped into global insight, local nuance and always-on community with C Space to stay in step with the future.
To mark 25 years of insight communities, we’ve reimagined our most popular guide to explore where insight communities have been, and where we’re taking them next. vec643 new