Creating
Best-In-Class Product Positioning
Luminoso Daylightâ„¢ AI Go-to-Market Solution
Summary of the Go-to-Market Case Study:
A renowned semiconductor manufacturer in the gaming sector introduced a new laptop to the market. Following the initial market release, they gathered 7870 customer reviews from diverse platforms like Reddit, Amazon, and YouTube. Previously, they used analyst firms to sift through and analyze the data. They were skeptical about the results and wanted an unbiased perspective. That’s where Luminoso Daylightâ„¢ AI came into the picture.
Luminoso Daylight™ AI allowed them to...
- Reduce time and cost for their next GTM strategy
- Made their analytics team more effective and efficient
- Showed directly where their NPS score was being impacted
BUSINESS IMPACT
Speed-to-Market: Luminoso Daylightâ„¢ AI reduced the time it took to see where direct impacts could be made to improve NPS.
Sharper Competitive Edge: Luminoso Daylightâ„¢ AI showed them exactly where they could position themselves against their competitor for maximum impact.
Reduced Data Analyst Cost: Luminoso Daylightâ„¢ AI’s deep learning and auto-tagging functionality allowed their analysts to focus on analyzing data instead of organizing it.
Accurate NPS Tracking: Luminoso Daylightâ„¢ AI’s ability to track changes in the market showed them exactly where they need to focus their efforts to improve their overall rating.
Quick Comprehension of Product Insights: Data visualization and integration ensures the internal team is equipped with accurate insights for faster decision-making.
Informed, Bias-Free Decision Making: The non-biased nature of analytics instills a sense of confidence in decision-making processes, ensuring resources are managed and allocated with pinpoint accuracy.Â
Deep Dive Into CSAT Scores: Ensures the ability to delve into how each specific driver influences the CSAT score and understand their interrelations for a more nuanced strategy approach.
Strategic Vendor Negotiations: Facilitates renegotiation of vendor contracts with a grounded understanding of customer experience (CX) performance metrics.
Luminoso Daylightâ„¢ AI pinpointed crucial product features like battery life and system stability that were influencing customer satisfaction (CSAT) scores. It also shed light on often-overlooked aspects like shipping logistics, showcasing an interconnection of elements that were affecting the customer’s overall experience.
Luminoso Daylightâ„¢ AI’s deep learning and data visualization made comprehending the holistic customer experience much easier for all stakeholders.
Roadmap To Innovation:
The visualization of data became their roadmap to innovation, allowing them to target specific development zones with precision. Management could now evaluate, with certainty, where to prioritize their investments for maximum impact.
Luminoso Daylightâ„¢ AI made their analyst team more effective and efficient.
THE RESULTS:
Luminoso Daylightâ„¢ AI debunked several findings of previous analysts, presenting a bias-free narrative. It revealed clear paths to delivering a product experience that meets and exceeds customer and internal team expectations. The Go-to-Market learnings advanced our ability to help our client improve their customer experience.
And the product experience manager only needed 2 hours of training to train the respective models.
Tangible ROI
- Increased percentage of features released that tie back to customer feedback, from 10% to 20% in the first year.
- Impact of data speed to market. As the velocity of features released increased, they saw 15% YoY reduction in negative NPS commentary about the product experience.
- Deepened customer engagement in feedback. We saw a +9-point increase in NPS YTD.