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7 Ways AI-Based Research Provides Deeper Consumer Insights

by Michael Patterson, PhD Chief Research Officer

and Giuseppe Tonolini – Director, Strive Insight

 

Incorporating AI into market research has enabled us to unlock a new level of depth and richness in our insights. Here are some case stories showcasing how our AI tools have transformed client research projects:

 

1. Current and Future Trends in Gaming

To explore current and future trends in the gaming industry, we employed AI Netnography combined with expert interviews and quantitative surveys. This comprehensive approach allowed us to gather data from sources like YouTube, Twitch, Discord, Instagram, Snapchat, Reddit, Amazon, and gaming forums. The outcome was a strategy for a client to enter the gaming market with a new sports eyewear brand, identifying key trends and consumer behaviors driving the industry.

 

2. Understanding the ‘Performance Seeker’ Segment

We aimed to understand the preferences and behaviors of the ‘Performance Seeker’ consumer segment through standalone AI Netnography. By analyzing data from brand websites, YouTube, Instagram, TikTok, Amazon, Thingtesting, and Mumsnet, we provided insights that informed a strategy to address the unique needs and preferences of the female ‘Performance Seeker’ segment.

 

3. Brand Iconicity in Gen Z

To understand the brand perceptions and preferences of Generation Z, we used AI Netnography combined with semiotic analysis. Data sources included the YPulse database, Instagram, TikTok, forums, and brand webpages. The research provided strategic guidance for a global lifestyle brand, identifying key attributes that resonate with Gen Z and informing future branding efforts.

 

4. Loyalty Programs in International Money Transfer

Our objective was to assess perceptions of loyalty programs in the international money transfer industry. We combined AI Netnography with qualitative IDIs and a quantitative survey, using data from Trustpilot, Google Play, and other consumer review platforms. The study offered an overview of loyalty program perceptions, helping the client refine their offerings and improve customer engagement strategies.

 

5. Repositioning a Pizza Restaurant Chain in the UK and U.S.

To inform the redesign and repositioning of a pizza restaurant chain, we utilized AI Netnography combined with co-creative group discussions. By analyzing data from Tripadvisor, Deliveroo, JustEat, OpenTable, YouTube, and Instagram, we provided insights that guided the strategic redesign of the restaurant chain, enhancing its appeal to target consumers in both the UK and US markets.

 

6. Unearthing White Space Mobile Gaming Opportunities

We aimed to identify new opportunities in the mobile gaming market through AI Netnography. By examining mobile gaming reviews and forum conversations, we provided a client with insights that informed new title development and retention strategies in the mobile gaming industry.

 

7. Target Refinement for a Lifestyle Eyewear Brand

Our objective was to refine the target audience for a lifestyle eyewear brand using AI Netnography combined with consumer ethnography. Analyzing data from TikTok, Instagram, blogs, articles, and Reddit, we identified and profiled the brand’s target audience, informing subsequent ethnographic research and strategic marketing efforts.

 

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