Hi Robin, why did you choose to work with Sift Lab?
We were impressed by how simple and effective the platform is in helping us understand customer behavior. The tool not only provides insights but also turns them into valuable actions in paid media, CRM, and on-site optimizations—a rare quality. Many platforms talk about driving data-driven actions but very few deliver it. 

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Our ambition is to be extremely customer-centric, and Sift Lab helps us achieve this by delivering actionable insights that allow us to act on the data we collect about our customers. This has been a crucial factor in our decision to partner with you.

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The ability to work with all our data in one system is also a big plus. It streamlines our analysis work and maximizes the value of our data. We’ve been able to eliminate other analytics tools and no longer need to manually create static reports. All our data is now updated in real-time in Sift Lab, and the analyses are dynamically visualized in easy-to-understand dashboards.

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Since we also have all marketing data, including costs by channel, we can easily optimize our business based on all our KPIs, such as CAC/LTV, ROAS, and POAS.

‍What’s the biggest difference now compared to before you started working with Sift Lab?
The biggest difference is that we’ve become even more relevant to our customers. Through more precise segmentation, we can reduce the number of “unnecessary” customer interactions, creating a better and more personalized experience for our customers.

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Additionally, it’s less time-consuming for us, as much of the process is highly automated. Sift Lab saves us hundreds of hours per year with more efficient analysis and automated segmentation using AI.

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The ability to create specific segments and send them directly to platforms like Meta, Google, and Klaviyo to optimize both our paid advertising and email marketing has been incredibly valuable. We’ve seen positive lifts in several KPIs, such as CTR and CVR, which makes it easier to drive growth and profitability.

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‍Can you give an example of an insight you’ve acted on through Sift Lab?
Absolutely! A concrete example is when we used Sift Lab’s city report and discovered something unexpected in Australia. We realized that we didn’t have a clear dominance in any specific city, but that aim’n’s orders were spread across the entire country each month.

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This pattern contradicted our goal of focusing on specific regions to optimize our marketing. Thanks to this insight, we were able to quickly adjust our strategy and target our efforts more effectively, while also tracking the results in real-time.

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‍What are the biggest challenges that Sift Lab solves for you?
With Sift Lab, we can now:

• Understand customer behaviors: Identifying patterns in order volume, purchase frequency, and the marketing channels driving traffic.
• Gain insights into repeat purchase behaviors: For instance, we noticed that many customers repurchase the same product, like tights, several times in a row instead of switching categories. This helps us better tailor our marketing.
• Acquire new customers: Predictive targeting based on the customers we want to attract and the products that drive long-term profitability has significantly improved our customer acquisition efforts.
• Automate segmentation: This streamlines email marketing and campaign targeting.
• Identify which customers buy which products: By understanding customer preferences for specific categories or products, we can better tailor offers and marketing.
• Optimize marketing strategies using customer cohorts and RFM segmentation: We can now track profitability at a detailed level, thanks to having all data in one place.‍
• Create AI-driven segments for more personalized campaigns: Especially in Klaviyo and Meta, which results in more precise and profitable campaigns.

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‍What results and other benefits have you achieved with Sift Lab?
Since we started using Sift Lab, we’ve seen clear improvements:

• +200% increase in conversion rate: Through AI-driven segmentation in our email campaigns via Klaviyo.
• 10–18x ROI in paid advertising on Meta: From specific remarketing and prospecting campaign tests using Sift Lab’s predictive AI audiences based on categories and product families.
• Better insights into markets, regions, and cities: Allowing us to focus marketing efforts where they deliver the most impact.
• Product bundling insights: We can identify products often bought together and use this to improve bundles and profitability.
• Predictive AI-driven customer segmentation: Real-time data on which products drive the most profitability, enabling us to target the right customers.
• Customer cohort visualization: Making it easier to understand customer behavior over time and adapt our strategies more effectively.‍
• Speed and efficiency in the platform: Allows us to quickly act on insights in real time, which is invaluable for us.

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