Canadian Flower Intelligence Dataset (April - Oct 2026) | Top 93 Cultivars & Community Sentiment

Get the raw, community-driven data behind what's actually moving the needle in Canadian dried flower.

While wholesale reports track what stores order, they don't capture how consumers feel once the seal is broken. This spreadsheet provides a standardized, multi-metric snapshot of the dried flower market compiled across 332 independent community reviews between April and October 2026.

Single-review outliers, bot noise, and pre-rolls have been filtered out. What remains is a clean, ranked breakdown of 93 distinct whole-flower offerings evaluated across six active Canadian review communities.

What's Included in the CSV:

- Cleaned Brand & Product Names: Grouped and normalized across variations, spelling discrepancies, and competing producers.

- Trend Score (Attention & Reach): Weighted community engagement metric showing which offerings captured the most sustained attention.

- Distinct Reviewer Counts: The exact number of independent authors reviewing each cultivar (ranging from verified 2-review minimums up to 12).

- AI-Normalized Sentiment Scale (1 to 10): Standardized critical score across all reviews, cutting through individual rating biases.

- Peak Comment Volume: The highest comment count logged on a single thread to spotlight debate and consumer controversy.

- Community Upvote Ratio (%): Average community acceptance and post approval rate formatted cleanly with zero decimals.

Perfect For:

- Cultivators & LPs: Benchmark your lots against direct category competitors, compare premium vs. budget lines, and see how genetics perform in the wild.

- Retail Buyers & Budtenders: Identify consistent crowd-pleasers and high-sentiment lots before placing inventory orders.

- Enthusiasts: Cut through marketing copy to see which cultivars independent reviewers hold in the highest regard.

Instant digital download (.CSV file compatible with Microsoft Excel, Google Sheets, Numbers, and Python/Pandas).

Also included: the same dataset as a formatted Excel (.XLSX) file.