Bonus: Scaling Skincare Segment by Segment – Soft Services' Data-Driven Growth Strategy with Tresl Segments - podcast episode cover

Bonus: Scaling Skincare Segment by Segment – Soft Services' Data-Driven Growth Strategy with Tresl Segments

Jul 31, 202439 min
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Episode description

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Hello and welcome to the DTC Podcast! Today, we're joined by Rebecca Zhou and Stephanie from Soft Services, along with John Chao from Tresl Segments.

https://www.tresl.co/dtc


Soft Services is a rapidly scaling body skincare company that recently expanded from DTC to an omnichannel presence with Sephora. In this episode, we dive into their strategic use of data to drive growth and retention.

https://softservices.com/


Key Takeaways:

Omnichannel Strategy: Learn how Soft Services navigates the complexities of integrating DTC and retail data.

Personalized Marketing: Discover the impact of their unique marketing campaigns, like the surprise spatula initiative.

Data-Driven Decisions: Understand how Trestle's segmentation tools help them make informed business decisions.


Why Listen?

Get insights into advanced data segmentation techniques.

Learn practical strategies for enhancing customer retention.

Understand the importance of sustainable practices in product development.


Timestamps:

00:00 - Introduction: Data-Driven Marketing for DTC Brands

02:00 - Soft Services' Journey and Omnichannel Expansion

06:00 - Leveraging Data for Customer Insights and Retention

12:00 - Optimizing Marketing Strategies with Trestle Segments

18:00 - The Spatula Campaign: Enhancing Customer Experience

25:00 - Conclusion: Future of Data-Driven Marketing for DTC Brands


Hashtags:

#DataDrivenMarketing #DTCBrands #CustomerRetention #MarketingStrategies #SoftServices #Tresl #JohnChao #RebeccaZhou #StephanieDiSturco #EcommerceSuccess #DigitalMarketing #AIinMarketing #CustomerEngagement #BusinessGrowth #MarketingInsights


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Bonus: Scaling Skincare Segment by Segment – Soft Services' Data-Driven Growth Strategy with Tresl Segments | DTC Podcast - Listen or read transcript on Metacast