The January 2026 Prosper Consumer Snapshot provides a detailed analysis of American economic sentiment and purchasing behavior based on a survey of over 7,500 participants. While overall confidence in the economy has softened compared to previous years, individual happiness remains steady as households adapt to ongoing price pressures. Consumers are increasingly prioritizing essential needs and practical shopping strategies, though they appear less financially strained than they were a year ago. The report highlights a growing reliance on value-driven digital memberships, with Walmart Plus seeing a notable rise in adoption. Despite a cautious outlook for the winter months, intentions for major purchases like vehicles have remained resilient or even improved. Ultimately, the data suggests that while inflation remains a concern, shoppers are managing their budgets with more stability and precision.

Prediction Market Beliefs vs. Scientific Economic Intent

This podcast is a short Executive Briefing on the fundamental differences between prediction markets and modeledmacro forecasts, such as those provided by Prosper Insights &Analytics.

While prediction markets act as a mechanism for aggregating crowd beliefs into probabilities regardingspecific events, modeled forecasts use statisticaldata to project broad economic trajectories and timing.

A key distinction lies in their data sources, as Prosper leverages zero-party consumer intent to identify shifts in the economy before they become public knowledge.

Because Prosper focuses on measured intentions rather than crowd consensus, their signals serve as an early-warning system for investors and decision-makers.

Ultimately, the podcast suggests that these two tools are complementary, with data-driven forecasts providing the initial insight that markets eventually price in.

Prediction Markets vs. Prosper Macro Forecasts

This podcast covers the fundamental distinctions between prediction markets and the macroeconomic forecasts provided by Prosper Insights & Analytics.

While prediction markets aggregate participant beliefs to determine the probability of specific events, Prosper utilizes zero-party consumer data to model future economic trajectories. These forecasts are designed to identify directional shifts and timing weeks or months before they become common knowledge in trading environments.

Because Prosper focuses on measured intentions rather than crowd consensus, their signals serve as an early-warning system for investors and decision-makers.

Ultimately, the podcast suggests that these two tools are complementary, with data-driven forecasts providing the initial insight that markets eventually price in.

Interested parties can obtain further details regarding these forward-looking signals by contacting the organization directly via email at [email protected]

With AI, Information Governance Is Now Vital Beyond Risk ReductionThis podcast covers an article by Gary Drenik of Prosper Insights & Analytics, which argues that information governance is critically important for the successful adoption of Artificial Intelligence, extending far beyond simple risk reduction.

The podcast emphasizes that good decisions require good data and warns against using raw, unfiltered data to train AI models, which can lead to poor strategy and compliance risks.

Furthermore, the article explains that robust data governance provides the necessary context for AI systems, enabling organizations to achieve transparency, explainability, and compliance with impending regulations.

Ultimately, the podcast positions data governance as a strategic advantage that builds internal and external trust, allowing companies to deploy AI systems faster and more safely while avoiding the high costs associated with using poorly managed data.

This podcast covers the Prosper Insights & Analytics December 2025 Consumer Snapshot which presents findings from its extensive survey tracking consumer behaviors and expectations. The key findings reveal that economic confidence is rebounding from the previous month but remains below pre-pandemic and year-ago levels, consistent with a "healing, not healed" narrative.

Consumer spending intentions are categorized as stable but subdued, yet shoppers are showing a slight reduction in strict frugality, suggesting an openness to small indulgences.

Furthermore, consumer happiness remains steady, and there is a noticeable rise in membership loyalty to value-driven platforms, especially Walmart+, which saw a sharp increase in adoption.

As AI Matures, Consumer Trust Becomes The New BattlegroundThis podcast covers a Forbes article by Gary Drenik of Prosper Insights & Analytics, which discusses how consumer trust has become the crucial "new battleground" as Artificial Intelligence (AI) matures across industries. The podcast highlights that while AI has dramatically changed business operations, consumers are increasingly concerned about privacy violations and lack of transparency, with a significant percentage worrying that AI systems do not have their best interests in mind.

According to data from Prosper Insights & Analytics and Usercentrics, this growing apprehension has led consumers to actively change their digital behavior, such as deleting apps or adjusting cookie settings, effectively demanding more control over their data. The podcast emphasizes that companies must recognize trust not just as a compliance requirement but as a core business strategy and a driver for growth, extending this need for reliability to AI performance, internet resilience, and supply chain visibility.

November 2025 Consumer Snapshot: Cautious Optimism

This podcast covers the November 2025 Consumer Snapshot report published by Prosper Insights &Analytics. This podcast presents a detailed analysis of the consumer environment, noting a complex situation where overall consumer confidence has dipped, yet the Consumer Mood Index remains resilient, suggesting personal factors are offsetting macroeconomic uncertainty. The podcasthighlights that the perceived impact of inflation is easing, leading to habitual, rather than reactive, value-seeking behaviors like using coupons and switching to store brands.Furthermore, it indicates stability in spending power andstandard of living, predicting measured resilience, not acceleration, in consumer outlays for the coming months, withcontinued growth in loyalty programs such as Amazon Prime and Walmart+.

With Consumer Data Models, Who Needs Government Data?This podcast covers an article by Forbes contributor Gary Drenik asserting that real-time consumer data models provide a critical alternative to often-delayed or outdated government economic statistics, especially during events like a government shutdown.

Drenik, who co-founded Prosper Insights & Analytics, argues that federal statistical frameworks are slow and outdated, causing dangerous blind spots for investors and policymakers when key reports stall.

The podcast presents the findings of Prosper's research, which uses zero-party consumer data to accurately forecast major indicators such as employment, housing, consumer spending, and auto sales weeks or months before official reports. Ultimately, the podcast contends that consumer-sourced analytics represent a permanent evolution in economic intelligence, offering a more agile and continuous view of the economy that is resilient to administrative delays.

October 2025 Consumer Snapshot

This podcast covers the October 2025 Consumer Snapshot report produced by Prosper Insights & Analytics, a firm specializing in predicting consumer behavior. The report details that consumer confidence in the U.S. economy has slightly softened due to persistent concerns about inflation and interest rates, yet consumers are maintaining a steady emotional mood and their 90-day spending intentions have risen. While shoppers are more aware of rising prices, particularly for groceries, they are coping through value-seeking strategies like using coupons and buying private labels, suggesting they are adjusting to a "new normal." The analysis indicates that the consumer is cautious but not shut down, signaling that retailers should use hybrid strategies focused on promotional essentials while also offering lifestyle upgrades to capture potential discretionary spending. Finally, the source highlights a growing reliance on value ecosystems, evidenced by increased membership in both Amazon Prime and Walmart+.

Data Quality Determines AI Project Success

This podcast covers a Forbes article by Gary Drenik, an expert in AI and consumer data, which addresses why the majority of artificial intelligence projects are unsuccessful. Drenik argues that the failure rate of up to 95% for AI projects, supported by reports from MIT, Gartner, and NIST, is not due to the technology itself but rather the poor quality and lack of representativeness in the data used for training models.

The podcast contrasts this common failure with the success of Exponential Technologies (XTech), whose forecasting models consistently outperform others by using high-quality, targeted datasets rather than large, generic ones.

Ultimately, the podcast concludes that data quality is the most critical factor separating successful AI innovations from failures.