A Market Intelligence Reality Check: Key Takeaways from SCIP Intellicon 2024
The state of B2B research in 2024 presents stark challenges and opportunities. In my session at this week's Intellicon 2024 conference, discussions revealed several critical themes about how organizations can separate signal from noise in market intelligence.
The Market Research Squeeze
Budget pressures are pushing organizations to demand more insights while spending less. This creates a challenging dynamic where research providers must produce more content with fewer resources, often leading to quality compromises. One participant noted buying research reports with credit cards for under $17,000, showing how accessibility has increased while potentially sacrificing quality.
The AI Revolution: Promise and Peril
AI is transforming market research production. Some organizations are building sophisticated private models with deep training data and specific use cases, producing impressive results. However, the rise of AI-generated analysis has also led to a proliferation of low-quality research. As one participant observed, there's more terrible AI than good AI, and many professionals haven't yet developed the skills to tell the difference.
Quality Assessment
Several participants shared experiences with testing research quality. One organization tested providers by checking specific market numbers against known data points - if providers were off by orders of magnitude, they were immediately disqualified. Another emphasized the importance of transparent methodology, noting that inability to explain methods was an immediate red flag.
The Research Provider Landscape
The market includes several distinct types of providers:
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A "Good News" Bias
Multiple participants noted a tendency in organizations to seek confirmation rather than truth. One shared an experience where pointing out obvious errors in research was ignored because a purchasing decision had already been made. Another described how some organizations only collect data from happy customers, avoiding potentially uncomfortable truths.
Practical Solutions
The discussion yielded several practical approaches:
Looking Forward
The market research industry faces significant disruption. Traditional providers must adapt to AI while maintaining quality, boutique firms must prove their value proposition, and buyers must become more sophisticated in assessing research quality. As one participant put it, you need to be able to "smell the difference between good research and bad research."
The consensus was clear: organizations need a balanced approach combining different research types and providers, always maintaining critical thinking about the insights they receive. The challenge isn't just getting data - it's getting reliable insights that drive better business decisions.
Helping providers to navigate complex enterprise purchase decisions with ISG Market Lens research.
1moA nice summary Duncan. As for the question of AI, the use of it to increase content generation creates little value if there's no increase/improvement in the data feed to that AI-generated content. AI's value is at the user end, to help cut through all of the research sources to create conclusions relevant for their unique situations. It's actually making the client's life harder if they're having to trawl through many times more AI-generated reports to produce that desired outcome.
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1moWell written and expressed. In the same direction went our crmkonvos on that topic.