Why B2B Research Is Falling Behind and What It Needs to Catch Up: Paradigm’s Take
Many teams are gravitating toward quick-turn, high-volume panels but this can make it harder to identify high quality panels. When it comes to B2B studies, it can be easy to overlook the nuance and specializations that can be represented in the ecosystem.
When representing B2B in research, often teams struggle to avoid generalizing the range of roles and perspectives in the administration, sales and finances spaces. People may look good on paper but not actually be the respondents we are looking for. Here’s our take:
1. Automation is outpacing
GRIT highlights just how quickly AI is becoming part of the research workflow.
In fact, 67% of suppliers are now embedding generative AI directly into client deliverables. The industry is clearly embracing automation to scale efficiency.
However, 40% of researchers say data quality is still their number-one barrier and this gap becomes even more pronounced in B2B, where roles change quickly, job titles evolve monthly, and professional expertise can’t be validated by automation alone.
That means more opportunities for:
Role misrepresentation
Outdated titles
Synthetic or AI-generated responses
Panel participants who simply aren’t who they say they are
2. High-stakes industries demand higher-quality respondents
“Highly specialized B2B respondents are hard and expensive to reach and to prevent fraud because the incentives are high.” – GRIT REPORT
Nearly 47% of full-service buyers report failing to get the composition of sample they needed in recent studies. GRIT shows that industries generating the most revenue are also the ones where accuracy matters most.
These sectors rely on:
3. Supplier-to-supplier sourcing is creating fragmentation
GRIT highlights a trend that continues to complicate B2B research: suppliers are increasingly buying from one another. 44% of buyers say they’ve had serious doubts about data quality in the past six months, and 45% say they had to address someone else’s doubts.
Supplier-to-supplier sourcing has limitations. Each extra handoff adds distance between researchers and respondents, making it harder to understand who participants are, how they were sourced, and who’s accountable for quality. That lack of visibility leads to recycled respondents and more time spent answering questions about data integrity instead of delivering insights.
That leads to:
Longer, less transparent sourcing chains
Recycled respondents
Diluted accountability
Teams forced to manage doubts about quality
4. Synthetic panels can’t replace real expertise
Synthetic panels have long been on the industry’s wishlist, and GRIT shows innovation is happening. But synthetic respondents rely on pattern-matching and aggregated averages, which means they often flatten nuance and miss real-world complexity.
That may work for some consumer-level work, but in B2B, where true expertise, lived experience, and specialized decision-making matter, synthetic “professionals” can’t (yet) fill the gap. While yes, synthetic panels can support research, but they can’t anchor it.
Our Take
At Paradigm, we’ve built our approach around verified, human-in-the-loop B2B online data collection. Our clients, that provide deep and meaningful insights multiple vertical such as healthcare, finance, technology, and cannot afford to have respondent quality. Every professional is screened, validated, and matched to ensure authentic expertise.
B2B research may be lagging, but with hands-on validation, smart technology, and transparent sourcing, we can make significant progress in reliability and insight quality. The industry is experimenting and learning, and those who prioritize quality-first sourcing will lead the way.
