How a Shopify candle brand grew revenue 35% using AI sales insights
"I was making candles nobody bought because I had no idea what the data was telling me. Now I ask AskBiz and it just tells me."
The Problem
With 180+ SKUs across different scents, sizes (mini, standard, large), and bundles, Sophie was drowning in data she couldn't interpret. Shopify showed total revenue by product but not margin — she didn't know that her best-selling scent (Lavender Fields) was actually her lowest-margin product because of the premium essential oil cost.
Why AskBiz
Sophie needed to ask questions in plain English and get answers without building spreadsheets. She'd tried Google Analytics and Shopify's reports but found them overwhelming. AskBiz was the first tool where she could type 'which candles make the most profit per unit?' and get a clear ranked answer.
The Turnaround
AskBiz's first daily brief flagged that 60% of her SKUs generated less than 5% of total profit. She discontinued the bottom 85 SKUs over 2 months, freeing up storage space and reducing production complexity. She then doubled down on her top 20 products and introduced bundle pricing that AskBiz suggested based on purchase correlation patterns.
The Growth
Revenue grew 35% in 4 months — not from more traffic, but from better product mix and higher AOV. The bundles AskBiz suggested (pairing Fireside Oak with Cinnamon Bark) became her best seller. She now spends 20 minutes a week reading the daily brief instead of 6 hours in spreadsheets.
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