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FlowerAura Case Study: 2.6X Conversion Lift During Peak Season
FlowerAura, a Mumbai-headquartered gifting brand, saw a 2.6X conversion lift during peak season in 2025, driven by a redesigned checkout flow paired with Shopping ads timed to the demand window, planned months in advance rather than reactively.
What was the starting point?
- Checkout drop-off higher than category benchmark during peak traffic spikes
- Paid campaigns launched reactively rather than scoped ahead of known peak windows
- Category pages not optimised for gifting-occasion search terms
What did B2B SEO Services change?
A redesigned checkout flow (Web Design) paired with Shopping ads and category-page SEO timed to the 2025 gifting peak season, planned months ahead rather than launched reactively.
What was the result?
2.6X conversion lift right when peak season mattered most, in 2025. Figures reflect a real engagement, an exportable report is available on request.
Why peak-season conversion is so fragile
Gifting peaks compress weeks of demand into a few days, often with delivery deadlines. Any friction at checkout costs more than usual, because the customer simply orders elsewhere. Baymard Institute puts the average documented cart abandonment rate at 70.22%, with 40% of abandoners citing extra costs and 20% slow delivery (Baymard Institute). For a gifting brand, clear delivery dates and costs are as important as the product itself.
What other ecommerce brands can take from this
- Fix checkout before the peak: test the full flow on mobile under realistic load
- Show delivery promises early: dates and costs on product and category pages, not just at checkout
- Plan paid media months ahead: budgets ramped two to three weeks before demand, not the day it arrives
- Optimise category pages for occasions: gifting searches are often occasion-led
The public evidence behind the approach
Checkout and speed improvements pay back reliably. Baymard estimates better checkout design alone could lift conversion by around 35% for a large ecommerce site (Baymard Institute). Rakuten 24 saw a 33% higher conversion rate and 53% more revenue per visitor after improving Core Web Vitals (web.dev, Rakuten 24 case study).
The same planning model delivered Bakingo’s 4.1X festive order volume. See our peak season planning guide and web design.