Trends In Consumer Insights And Research In 2024.

Trends in Consumer Insights and Research for 2024


The world of consumer insights and research is constantly evolving, driven by advancements in technology and changing consumer behaviors. In 2024, we can expect to witness several prominent trends that will reshape how businesses understand their customers. In this blog post, we will explore four key elements that are likely to dominate consumer insights and research this year: zero-party data marketplace, passive measuring, agile research, and AI, primarily emotional AI.

1. Zero-Party Data Marketplace

Data privacy concerns have been at the forefront in recent years, leading companies to reevaluate their approach to data collection. In 2024, we expect to see a rise in the importance of zero-party data, which is information shared directly by consumers with brands they trust. Zero-party data offers a more transparent and ethical approach to data collection, as consumers willingly provide information about their preferences, interests, and intentions.
Furthermore, the concept of a zero-party data marketplace is gaining traction. This marketplace enables consumers to share their data in exchange for personalized experiences and rewards. It empowers consumers by allowing them to own and control their data, while giving brands access to accurate and relevant insights. This trend will foster stronger relationships between businesses and customers, built on trust and mutual benefit.

2. Passive Measuring

Traditionally, consumer research involved active participation from individuals, such as surveys and focus groups. However, in 2024, the focus is shifting toward passive measuring techniques. With the proliferation of IoT devices and smart technology, it has become easier to collect data without explicit consumer involvement.
Passive measuring refers to the collection of behavioral data through various digital touchpoints, such as smartphones, wearables, and connected homes. This approach provides a more natural and unobtrusive way of understanding customer behaviors and preferences. By analyzing data collected passively, businesses can gain insights into consumer decision-making processes, product usage, and even emotional states.

Passive and Active data explained.

3. Agile Research and AI

In today's fast-paced and dynamic marketplace, businesses need to be agile in their research practices. Agile research allows companies to gather consumer insights quickly and adapt their strategies accordingly. By leveraging advanced analytics and AI-driven algorithms, businesses can streamline their research processes and generate actionable insights rapidly.
AI plays a crucial role in automating data analysis, pattern recognition, and predictive modeling. However, in 2024, the emphasis will shift towards emotional AI. Emotional AI refers to AI systems that can understand and interpret human emotions, enabling businesses to create more personalized and empathetic customer experiences. By analyzing facial expressions, voice intonations, and sentiment analysis, emotional AI can provide deeper insights into consumer emotions and motivations.

4. Emotional AI

While AI in consumer insights has been predominantly focused on rational analysis, the future lies in understanding the emotional side of consumers. Emotional AI algorithms have made significant progress in deciphering and predicting human emotions, leading to enhanced personalization and more effective marketing campaigns.
By implementing emotional AI in consumer research, businesses can uncover the underlying emotional drivers behind customer decisions, enabling them to connect on a deeper level. This understanding enables brands to create emotionally resonant experiences, build stronger brand loyalty, and deliver tailored communication strategies.

Conclusion:


In conclusion, 2024 is set to witness significant advancements in the field of consumer insights and research. The zero-party data marketplace will redefine data collection practices, passive measuring will provide more accurate and unobtrusive insights, agile research and AI will expedite decision-making processes, and primarily emotional AI will unlock the power of human emotions. Once all of these trends are combined, we arrive into a world of Digital Phenotypes and advanced, granular and implicit research with predictive capabilities. By embracing these trends, businesses will gain a competitive edge, enabling them to better understand their customers and meet their evolving needs.

Hybrid techniques combining traditional and novel approaches, explicit and implicit, self report and passive data that creates digital phenotyping.



andrea Sagud