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How Moira Built a Predictable Revenue Growth Engine with Trivas.ai
With Trivas, Moira moved from fragmented dashboards and reactive decisions to a single, decision-ready revenue engine, producing 27% incremental revenue and improving campaign efficiency by 19% within 90 days.
Background
Moira Beauty is a rapidly growing D2C beauty brand launching multiple product groups each month and driving customer acquisition across paid channels. Despite growth, the team lacked a unified view of what drives Total Sales and which initiatives create incremental revenue.
Objective
Build a predictable revenue growth engine by clarifying:
- What drives Total Sales
- Which channels and campaigns are efficient
- How launches and promotions impact revenue
- How customer acquisition contributes to growth
Key Challenges
- Fragmented data & no central SME - Disparate dashboards across Shopify, Amazon, Meta, Google, TikTok, Klaviyo.
- High-frequency launches - No framework to evaluate incrementality vs cannibalization.
- Promotion ambiguity - No baseline or margin-adjusted promo lift measurement.
- Acquisition visibility gaps - Hard to connect CAC to product-level outcomes.
Trivas's Approach & Solution
We replaced fragmented reporting with a unified intelligence layer and delivered:
- Trivas Data Platform: single source of truth ingesting Shopify, Amazon, TikTok, Faire, GA4, Klaviyo.
- Revenue narrative engine: automated explanations (what changed, where, why) and recommended actions.
- Launch intelligence: incrementality testing, cannibalization analysis, channel contribution and repeatability scoring.
- Promotion intelligence: baseline vs promo lift, margin-adjusted impact, discount efficiency.
- Customer acquisition clarity: CAC-to-revenue alignment by cohort and channel.
- Data Concierge: on-demand deep dives and operationalized next-step recommendations.
Results (measured outcomes)
- Incremental revenue: +22 % incremental revenue attributed to optimized launches & promos (vs baseline).
- Campaign efficiency: Improved blended ROAS from 1.2x to 1.9x across 3 months.
- Operational time saved: Replaced 12 manual reports with automated dashboards, saving ~ 16 hours/week.
Executive Quotes
"Our biggest challenge was connecting what happened on Meta to what happened on Amazon and Shopify. Trivas finally gave us that visibility. It’s been a game-changer for how we plan campaigns."
"Before Trivas, we were pulling data from five different places and still didn’t feel confident in our decisions. Now everything’s in one view, and the answers are just… there. It’s honestly taken a huge weight off our team."