Mark Hardy

When ~80% of new products fail, the cost of poor data is too high, eroding trust, customer experience & profitability. The industry is at a crossroads: continue relying on flawed survey methods & risk irrelevance or evolve toward verified communities of real people. Triaging bad data after the fact is no longer enough. The future of retail demands more because we can’t afford to get it wrong. Key Takeaways: 1. Discover how verified, rewarded communities drive higher-quality data and engagement. 2. Learn how proactive fraud prevention ensures superior data quality and builds trust. 3. See how we used Data Quality Coop’s segmentation to set a new standard for actionable insights.