Greenfield Florists - Turning Seasonal Shoppers into Loyal Fans

Category: Product & Digital Analytics Tools: Power BI, SQL, Python Year: 2025

The Challenge & Solution

Greenfield Florists sees predictable traffic spikes around Valentine’s and Mother’s Day, but how do you keep customers coming back after the flowers fade?

This analysis revealed that promo-driven buyers were more than twice as likely to return for a second purchase. More importantly, it uncovered that a small group of customers placed three or more orders per year, driving a disproportionate share of total revenue.

RFM-style segmentation was used to highlight these high-value cohorts, and seasonal breakdowns to find when and how campaigns should reinforce behaviour. Summer, it turns out, is an overlooked opportunity, customers who responded to post-holiday emails were more likely to re-engage mid-year.

By rethinking promotional timing and segment focus, Greenfield Florists can transform seasonal spikes into long-term loyalty.

Impactful Findings

What I Suggest Next to Unlock Value

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