How Modular Closets Increased Browse Abandonment Revenue by 54%
connected
per month
The Challenge: Lost Revenue from Limited Tracking
Since 2015, Modular Closets has been leading the way in customizable home organization, reaching eight figures in revenue. With their sights set on hitting nine figures, they constantly seek ways to optimize and grow.
Like many e-commerce brands, however, they faced a major challenge with the privacy changes brought by iOS14 and iOS17. These updates made it difficult for platforms like Facebook and Klaviyo to track user activities accurately.
At first, Modular Closets didn't realize the impact of these changes on their email performance. They were unaware that Klaviyo was missing crucial events. It wasn’t until they installed Polar that they saw the full extent of the missed opportunities and potential revenue slipping through the cracks.
While I am a huge fan of Polar for their fantastic software, which has streamlined my super-complicated data stack, the new offering has raised the bar even further with its immediate ROI, in terms of lost revenue recovered.
The Solution: Capturing Missed Emails
Polar Analytics introduced Modular Closets to the Klaviyo Flows Enricher to tackle the challenge. This powerful tool boosts email marketing by capturing missed abandonment events and enhancing email flows.
Here’s the process:
- Installed the Pixel: Polar’s server-side pixel was installed, spotting up to 70% more abandonment events.
- Sent the events: These events were linked to previously subscribed email addresses using Polar's in-house Identity Graph.
- Duplicated the flow: The Polar team duplicated Modular Closets' existing abandonment flows to trigger using the enriched data.
Everything was quick and efficient, with the Polar Analytics team handling the setup. This precise monitoring allowed Modular Closets to see exactly how many emails were sent and the resulting revenue generated by the Klaviyo Flow Enricher.
The Results: 54% Revenue Boost
In just 28 days, the Polar Klaviyo Flow Enricher delivered impressive results for Modular Closets.
Launching their new wardrobe product line, which they knew would have a high browse abandonment rate, the Klaviyo Flow Enricher proved crucial. This tool increased their Browse Abandonment Flow email revenue by 54%, reaching an additional 4,188 sends through Klaviyo.
"This new product line is a more complicated product to design and order, resulting in a high browse abandon rate. The new Polar Klaviyo Flow Enricher played a pivotal part in recovering those lost opportunities, making this launch a success." Yisroel - Marketing | Modular Closets
Conclusion
Looking Ahead: New Ways to Drive Growth
Modular Closets is thrilled with the results and plans to keep refining their email flows to reach even more customers. The success of their new wardrobe closet product line shows just how powerful the Polar Klaviyo Flow Enricher can be in bringing back lost opportunities.
Looking ahead, Modular Closets is excited to continue this momentum. They’re eager to see Polar Analytics' upcoming features, which promise even more ways to enhance their marketing efforts and drive growth.
What where your goals ?
What are your marketing challenges ?
Since 2015, Modular Closets has been leading the way in customizable home organization, reaching eight figures in revenue. With their sights set on hitting nine figures, they constantly seek ways to optimize and grow.
Like many e-commerce brands, however, they faced a major challenge with the privacy changes brought by iOS14 and iOS17. These updates made it difficult for platforms like Facebook and Klaviyo to track user activities accurately.
At first, Modular Closets didn't realize the impact of these changes on their email performance. They were unaware that Klaviyo was missing crucial events. It wasn’t until they installed Polar that they saw the full extent of the missed opportunities and potential revenue slipping through the cracks.
How did you monitor growth before Polar Analytics ?
Polar Analytics introduced Modular Closets to the Klaviyo Flows Enricher to tackle the challenge. This powerful tool boosts email marketing by capturing missed abandonment events and enhancing email flows.
Here’s the process:
- Installed the Pixel: Polar’s server-side pixel was installed, spotting up to 70% more abandonment events.
- Sent the events: These events were linked to previously subscribed email addresses using Polar's in-house Identity Graph.
- Duplicated the flow: The Polar team duplicated Modular Closets' existing abandonment flows to trigger using the enriched data.
Everything was quick and efficient, with the Polar Analytics team handling the setup. This precise monitoring allowed Modular Closets to see exactly how many emails were sent and the resulting revenue generated by the Klaviyo Flow Enricher.
The Results: 54% Revenue Boost
In just 28 days, the Polar Klaviyo Flow Enricher delivered impressive results for Modular Closets.
Launching their new wardrobe product line, which they knew would have a high browse abandonment rate, the Klaviyo Flow Enricher proved crucial. This tool increased their Browse Abandonment Flow email revenue by 54%, reaching an additional 4,188 sends through Klaviyo.
"This new product line is a more complicated product to design and order, resulting in a high browse abandon rate. The new Polar Klaviyo Flow Enricher played a pivotal part in recovering those lost opportunities, making this launch a success." Yisroel - Marketing | Modular Closets
What were your needs ?
Looking Ahead: New Ways to Drive Growth
Modular Closets is thrilled with the results and plans to keep refining their email flows to reach even more customers. The success of their new wardrobe closet product line shows just how powerful the Polar Klaviyo Flow Enricher can be in bringing back lost opportunities.
Looking ahead, Modular Closets is excited to continue this momentum. They’re eager to see Polar Analytics' upcoming features, which promise even more ways to enhance their marketing efforts and drive growth.
The fastest growing Shopify brands use Polar Analytics
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