Identified $45k Annual Savings On Musely’s Tool Stack.
Objective
Data Maturity: Basic reporting but no data stack
Industry: Subscription Telemedicine
Headquarters: Santa Clara, California, United States
Obstacle
Create powerful benchmarking dashboards that can track company performance and compare it to competitors at a granular level.
Outcome
- Identified $45k annual savings on Musely’s existing tool stack.
- Delivered a clear roadmap detailing the timeline and cost of achieving integrated reporting solutions.
Background
Musely is an online platform revolutionising skincare by connecting patients with board-certified dermatologists for personalised treatments. With a mission to provide affordable and effective skincare solutions, Musely has grown rapidly, driven by its unique telemedicine model. To scale sustainably, Musely sought to harness its rich customer and marketing data to optimise acquisition strategies, improve lifetime value (LTV) predictions, and refine its marketing funnel.
Challenges
Sacalability Issues: Whilst the company’s existing reporting processes were functional, they relied heavily on manual efforts and required significant engineering resources to maintain. These processes were not built to scale with Musely’s rapid growth, making it increasingly difficult to extract meaningful insights efficiently. Musely wanted to implement a data stack but wanted to ensure they chose the right tools for this.
No Modelling: Musely lacked robust data modelling, which meant it was slow for them to get answers to key business questions. One key missing metric was lifetime value (LTV), which is crucial for accurate revenue forecasting. Without these predictive models, the company faced difficulties in anticipating customer behavior, optimising acquisition costs, and making strategic investment decisions. The lac
Solution
Customer Journey: To gain a deep understanding of customer interactions, 173tech conducted interviews with key stakeholders across Musely’s teams. These discussions helped map out the entire customer journey, from initial awareness to conversion and post-purchase engagement and provided a framework for later development.
Tool Audit: To future-proof Musely’s analytics capabilities, 173tech conducted an extensive review of available technology solutions. They evaluated various data warehousing, ETL (Extract, Transform, Load) tools, and business intelligence platforms, recommending the best-fit solutions tailored to Musely’s growth ambitions. This approach ensured that the new data stack was scalable, cost-effective, and easy to maintain.
The Proof Is In The Numbers
$45k
16
4
Implementation
Data Roadmap: A strategic roadmap was developed to ensure that Musely could derive value from its data initiatives quickly. The roadmap outlined short-term wins to drive immediate impact, along with long-term strategies for continuous improvement. It also identified more than $45k of annual savings on tool costs.
Phased Implementation: The Phased Reporting Implementation approach adopted by Musely involved addressing reporting needs incrementally, ensuring both manageable costs and realistic timelines. Instead of overhauling the entire system at once, the process began by automating core reports and establishing a centralised data foundation. As the project progressed, more advanced capabilities were introduced, such as cross-channel performance analytics and predictive models for customer behavior and revenue forecasting.
