AI Customer Panel
AI-powered customer feedback so you can take action now
Native AI turns insight into impact
Introducing Native AI, the always-on market intelligence platform that helps you understand, innovate, and create ideal experiences for your customers.
A better way to find the answers you need
Create impact through measurable improvements to products, customer experience, and marketing.
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Analyze millions of qualitative and quantitative data points
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Automate product and keyword tracking across the web
- Converse with digital clones of your customers in real-time
Insights Dashboard
Customize and export reports with full choice of visualizations. Set up alerts for specific products and keywords, and monitor trends over time in order to predict future consumer behaviors and identify white-space opportunities.
Bring Your Own Data
Upload your first party data in any structured or unstructured format. Our platform is compliant with international data processing regulations to eliminate unnecessary risk.
Digital Twins
Converse with digital clones of your customers or your competitors' customers. Filter by demographic, purchase channel, behavior, and more. Create visualizations and export your results.
Expert White-Glove Service
Our platform is designed for you to be successful independently, but we're here to make sure you’re able to take full advantage of the value Native AI provides.
The Native AI Difference
We're not like other all-in-one insights platforms. Get a peek under the hood.
Data Safety & Privacy
Advanced Orchestration
Synthetic Output Controls
Benefits of an AI Customer Panel
The intersection of artificial intelligence (AI) and market research has ushered in demand for the AI customer panel. This revolutionary concept leverages artificial intelligence to convert actual human focus group data into predictive data using pattern recognition. While the training model for these artificial consumers is based on real human responses, the AI consumer panel does not represent the opinions of any individual consumers but rather aggregate consumers from which the model was trained.
Unlike conventional research methods, AI data can get as granular as the research requires. AI data is built upon first party data such as panels and interview transcripts, but also third party sources from across the internet. This allows the consumer personas to become enhanced with additional preference details. Again, it is important to remember that these are not individual human responses, but an aggregate of every human used in the training set. Native AI has introduced a Synthetic Output Slider which allows clients to indicate whether they’d like the synthetic Digital Twin responses to stick exclusively to the first party source data, or if third party data can be used in the response.
The biggest advancement for AI for market research has been the introduction of synthetic customers. The synthetic customer can replicate diverse shopping scenarios, display responses to different marketing strategies, and present a treasure trove of feedback. This paves a new path in predicting buying behavior and opens up opportunities for experimenting with innovative marketing approaches.
Incorporating these AI-driven tools effectively can dramatically reshape the way businesses engage with consumers and form an authoritative route to achieving customer satisfaction. With the rapid evolution of AI, it will continue to expand its footprint in market research and customer engagement.
AI Customer Experience Survey
Customer experience surveys are expensive and challenging, sometimes resulting in sparse data. AI customer experience surveys make it significantly easier to predict various outcomes to hypothetical scenarios. With so much consumer data readily available on the internet, the biggest challenge businesses have had in recent years is making sense of it all. AI removes the manual nature of the work, which allows businesses to harness far more data points when dissecting customer feedback.
By deploying an AI customer experience survey, companies obtain objective assessment of their services based on aggregate customer opinions. The beauty of using AI in this regard lies in the ability to cover a more extensive dataset, ensuring that no valuable feedback is ignored. This technology not only increases accuracy but fosters efficiency and productivity, allowing businesses to focus more on implementation and less on data gathering.
The most common reason to conduct such surveys is to understand customer sentiment and preferences. AI and Natural Language Processing help uncover the motivations behind consumer perceptions and behaviors, thereby paving the way for targeted, personalized products and services. AI holds the potential of carrying out complex data analysis to gauge consumer preferences and behavior patterns, a resourceful tool for marketers and businesses alike.
The introduction of AI in consumer surveys has truly revolutionized the way businesses approach feedback. The manual process of parsing through piles of survey responses is now automated, and the results are more streamlined, accurate, and efficient. Not to mention the easy identification of trends, patterns, or crucial points that might have been missed during manual examination.
Thus, embracing AI can be viewed as an effective endeavor to make the most out of customer feedback. By harnessing the power of AI in processing customer opinions and preferences, businesses today have a clearer, bird's eye view of their clientele's needs and desires, offering a roadmap to improved customer satisfaction and business growth.
To learn more about how Native AI can help you automate consumer insights, visit our solutions page.
