Developing an AR Virtual Try-On for a Beauty Brand

The Challenge

The company had a good product but was stuck. Customer acquisition costs climbed each quarter, organic growth had flatlined, and the sales team spent too much time on leads that went nowhere. They knew the product worked -- they just had no repeatable way to get it in front of the right people.

Our Approach

Research, Analysis, and Strategic Foundation

• Audited the existing tech stack and identified 14 gaps that needed fixing before anything else could work
• Designed an architecture that could handle 10x the current load without a rewrite
• Created an implementation roadmap in three phases, starting with the changes that would show results within 60 days

Design, Development, and Implementation

• Built the core platform features, prioritizing the ones users asked for most
• Set up analytics so the team could see what was happening in real time instead of waiting for monthly reports
• Automated the repetitive workflows that were eating 15+ hours per week
• Connected the separate systems into one data pipeline so every team worked from the same numbers

Launch, Optimization, and Scale

• Launched acquisition campaigns on the two channels that testing showed worked best
• Built automated email sequences that moved prospects forward based on what they clicked and downloaded
• Set up a referral program that rewarded existing customers for bringing in new ones
• Created a content strategy targeting the specific search terms that potential buyers were using

Key Takeaways

1. Three partner integrations drove more signups than six months of paid advertising. The right partnerships reach audiences you cannot buy access to.
2. The single biggest ROI came from fixing the user experience. Removing two unnecessary steps from the signup flow improved every downstream metric.
3. Starting in one market segment instead of three kept the budget focused and gave us real data to work with before expanding. The temptation to go broad early is strong, but the results argue against it.
4. Reducing monthly churn by 2 percentage points had the same revenue impact as increasing new signups by 15%. Retention math is unforgiving.
5. Talking to customers every two weeks caught problems that the analytics dashboards missed entirely. Qualitative and quantitative data tell different parts of the story.

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