Consumer Sentiment Dashboard Methodology

Overview

We use a team of AI agents to measure and analyze publicly available data points to provide monthly insights into consumer sentiment across Canada and the United States.

Scope and Cadence

Data is measured monthly on the 1st at 12:00 AM to ensure consistent timing and reliable trend analysis.

Data Inputs

Our methodology combines multiple data sources to create a comprehensive view of consumer sentiment:

• •Macro context: Key economic indicators and headlines to frame consumer mood (inflation, employment, rates)
• •Behavioral signals: Observed shifts in spending, saving, trade-down/trade-up, and adoption behaviors (tech, digital, sustainability)
• •Cultural and social sentiment: Emotional tone from news and social discourse to gauge prevailing mood states

Thematic Lenses

We analyze consumer sentiment through specific thematic areas that matter most to food and agriculture brands:

• •Technology and AI adoption: Openness, anxieties, and practical use cases consumers signal
• •Sustainability: Interest vs. action, willingness to pay, and credibility cues
• •Authenticity and local: Trust in local business, transparency expectations, and value-for-money perceptions

Analysis Approach

Our analytical framework focuses on actionable insights for food and agriculture leaders:

• •Synthesize across sources to identify tensions and patterns (say vs. do, optimism vs. caution)
• •Distill the prevailing mood into a 3–5 adjective profile to anchor the narrative
• •Translate sentiment into category-agnostic demand drivers (value, resilience, wellness, transparency, Canadian preference)

Why This Matters

Everything we do at 6 Seeds is data-driven. We believe the best decisions come from understanding real consumer sentiment, not assumptions or outdated research. This methodology helps food and agriculture brands navigate change, spot new opportunities, and move forward with confidence.