Case study
A Home Goods Brand
How a smarter way to plan stock and a fun online quiz stopped products from selling out and brought in $1.2M in new sales for a furniture brand selling big-ticket items.
4 months
Timeframe
2 of 4
Services used
$1.2M
New revenue
100%
Fewer stockouts
The 4-month story
Month 1: Getting the full picture
Learning what actually sells, and when
We pulled together 3 years of sales, returns, and shipping data for every product. The brand had been planning stock in a spreadsheet, which was causing them to buy too much of some products and run out of others. We used this data to start building a tool that predicts demand, and planned a fun online quiz to bring in more shoppers.
Sales history reviewed
3 years
Products covered
240+
Potential savings
12% of product costs
Month 2: Ready for the busy season
The prediction tool goes live
With the busiest shopping season 6 weeks away, we turned on the tool for the best-selling products. It predicted demand with 91% accuracy, so the team could order the right amount early and stop guessing. Zero products ran out during the busy season — the first time that had ever happened for this brand.
Prediction accuracy
91%
Extra safety stock needed
-22%
Times products sold out
0 (was 12)
Month 2–3: The quiz goes live
A fun quiz instead of a boring form
We launched a quiz that lets shoppers design their own room and share what they like, before ever seeing a price. It replaced a generic "request a quote" form and led to far more genuinely interested shoppers signing up.
Visitors who finished the quiz
34%
Better-quality leads
+340%
Shoppers who shared their email
89% (was 12%)
Month 3–4: Turning interest into sales
Following up automatically
Everyone who finished the quiz got a short series of helpful emails answering common questions and showing similar products. By the end of the busy season, this whole system had brought in $1.2M in new, trackable sales.
New sales brought in
$1.2M
Emails opened
68%
Follow-up emails that led to a sale
14%
The results
Two things fixed at once: never running out of stock, and bringing in more genuinely interested shoppers.
New sales brought in
$1.2M
Over the busy season
How accurate our predictions were
91%
vs. 42% guessing by hand
Times products sold out
0
First time ever
Less stock sitting unsold
-22%
Cash freed up
Quiz visitors who became leads
34%
vs. 8% with a plain form
Shoppers who shared their email
89%
vs. 12% before
Why it worked
We fixed two things that build on each other: having the right stock, and reaching the right shoppers.
Smarter stock planning
Predicting demand for every single product removed the guesswork. The tool learned from 3 years of real sales patterns, including seasons and pricing. Result: 91% accurate predictions vs. 42% with manual spreadsheets. Less cash tied up in unsold stock, and far fewer sellouts.
A quiz that finds real buyers
A room-design tool that gets a sense of what shoppers actually want before showing them a price. It turned casual browsers into real leads (34% of quiz-takers signed up, vs. 8% with a normal form). Helpful follow-up emails then answered questions and cut the time it took shoppers to decide roughly in half.
The big lesson
For brands selling bigger-ticket items, having the perfect product means nothing if you can't reach the right buyers. This brand had a great product and healthy margins. What was missing was a way to spot genuinely interested shoppers early and stay in touch while they took their time deciding. The stock-planning tool meant they always had what people wanted. The quiz meant they knew who actually wanted it. Together, that brought in $1.2M — not from more ad spend or discounts, but from running things smarter.
Free growth check-up
Does your brand have the same blind spots?
Selling out of your best products, then sitting on too much of everything else. Shoppers who take weeks to decide and go quiet. A boring “request a quote” form instead of something people actually want to fill out. Let’s take a look, free.
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