# Boutique Email Marketing: 44.6% Revenue Growth | OVERTOP

[Home](/)›[Success stories](/success-stories/)›[Klaviyo](/success-stories/klaviyo/)›The Willow Tree Boutique  Klaviyo success story · Women’s clothing boutique with stores, a website and an app

 # How The Willow Tree Boutique grew email revenue 44.6% by letting AI predict when shoppers will buy.

 A women’s boutique that started as one shop in Northeast Alabama began sending its campaigns to segments built from AI predictions: who is due to buy again, who spends the most. Campaign revenue rose 53.1% in six months, and the boutique had its best Black Friday ever.

  BusinessThe Willow Tree Boutique MarketNortheast Alabama, selling online across the US GoalSend each shopper the right campaign at the right time                ## The results.

 Revenue growth compares 2023 with 2022. Campaign growth compares the second half of 2023, the first six months using predictive analytics, with the first half. The segment share covers 90 days.

  
 - **44.6%**year-over-year growth in Klaviyo-attributed revenue
- **53.1%**half-over-half growth in revenue from Klaviyo campaigns
- **17.1%**of Klaviyo-attributed revenue from predictive segments
 
 Full year 2023; H2 2023 against H1 2023; 90 days for predictive segments. Klaviyo-attributed results as published by Klaviyo. Klaviyo does not state the attribution window or method.

      ## The challenge.

 The Willow Tree Boutique opened in 1992 as a single women’s clothing shop in Northeast Alabama. It now has several storefronts, an online shop launched in 2019 and a free live-selling app, and a loyal email list with plenty of data on how each subscriber shops.

Segmenting by engagement was easy. Segmenting by how much and how often people bought was not. Price-conscious shoppers were getting emails about pieces far outside their budget, and occasional shoppers were getting more messages than they wanted.

             ## What they did.

 Email campaigns · AI predictive analytics · Predictive segments

  Started with one predictive segmentIn June 2023 the boutique began using [Klaviyo’s AI predictive analytics](https://www.klaviyo.com/solutions/ai). The first segment was customers whose predicted next order date fell within 30 days either side of the send.Premium pieces to proven spendersCampaigns for higher-priced clothing went to [segments](https://www.klaviyo.com/features/segmentation) of customers with a predicted lifetime value over $500 or an average order over $150.Wider reach without blastingPredictive segments were combined with the usual engaged segments, so campaigns reached more people without feeling like spam.A wider net for the holidaysFor Q4 2023 the purchase-frequency rule widened from customers who order less than 30 days apart to less than 60 days, which helped deliver the boutique’s highest-revenue Black Friday and Cyber Monday ever.         ## Why it worked.

 Our read on the decisions behind the numbers, and what any business can take from them.

   Timing beats volumeReaching a shopper when she is due to buy again makes one email do the work of five.Price matched to the personSending premium pieces only to people who buy at that level lifts sales and stops putting off everyone else.Fewer unwanted emailsOccasional shoppers hear from the boutique less often, which keeps them subscribed and listening for the messages that matter.The data was already thereThe predictions came from purchase history the boutique already had, so the gain came from using its data, not from buying more traffic.        ## How we would run this play for your business.

 You do not need a national budget to use the same ideas. This is how Overtop Media Digital Marketing puts them to work in our [Klaviyo email and SMS management](/klaviyo/).

   Segment by value and timingWe build segments from predicted next order date, lifetime value and order size, so every campaign goes to the people most likely to act on it.Plan the calendar around themLaunches, restocks and sales are matched to the right segment, with campaigns written and sent through our [Klaviyo email and SMS management](/klaviyo/).Scale up for peak seasonBefore Black Friday and the holidays we widen the right rules and grow the list, so the biggest weeks reach the most likely buyers.Use the same data in adsYour best-customer segments can shape your ad audiences too. Our [Meta Ads management](/meta-ads/) uses them to find more shoppers like your best ones.        ## Who this play fits.

 You do not have to be a women’s clothing boutique with stores, a website and an app to use the same approach. It is a strong fit for:

  
 - Boutiques and fashion retailers
- Stores with both shops and a website
- Jewelry and accessories brands
- Beauty and skincare shops
- Brands that sell through live shopping
- Any store with a few years of purchase history
 
       ## Want results like these?

 Tell us about your business and your goals. We will show you where Klaviyo can bring you customers, and what it would take.

  [Start growing with Klaviyo](#audit) [Or call (704) 237-0707 ›](tel:7042370707)  [See how we run Klaviyo for our clients ›](/klaviyo/)

        ## More Klaviyo success stories.

  
 - [       Fashion and apparel **4.4X** higher revenue ### Steve Madden

 Read the story › ](/success-stories/meta-ads/steve-madden/)
- [       Fashion and apparel **99%** lift in organic search traffic ### Underneat

 Read the story › ](/success-stories/meta-ads/underneat/)
- [       Fashion and apparel **25%** lift in return on ad spend ### Clarks

 Read the story › ](/success-stories/microsoft-ads/clarks/)
 
 [See all Klaviyo success stories ›](/success-stories/klaviyo/)

 Results as published by Klaviyo in its customer story on The Willow Tree Boutique, based on Klaviyo-attributed revenue. Results for other businesses will differ. Analysis by Victor Bubuioc, MBA, Digital Performance and Growth Expert, published October 10, 2026.