I help DTC beauty brands on Shopify replace guesswork with analysis that surfaces the exact levers worth pulling.
I'm Patricia — an ecommerce analyst specializing in Shopify-native DTC beauty brands. My work lives at the intersection of data infrastructure, customer behavior, and commercial strategy.
Exclusive focus on beauty ecommerce — blending deep industry understanding with data-led growth strategy for modern skincare, makeup, haircare, and wellness brands.
You can see sales, but not why they happened, or why they did not. Attribution remains unclear, and every channel appears to perform well on the surface.
Budget is going into Meta and TikTok, but it cannot be confidently connected to actual store revenue.
High-LTV buyers exist somewhere in your data. The challenge is knowing who they are, what they bought first, and what keeps them coming back.
Generic tools were not designed for beauty DTC. Serum repurchase cycles behave nothing like SaaS churn, and your metrics should reflect that.
If any of this resonates,
See how I can help →Shopify-native DTC only.
Most stores lose revenue in places the owner cannot see. This maps your entire store, from where customers come from to where they drop off, and identifies exactly what to fix first.
Identifies who your best customers are, what they bought first, and what keeps them returning — so you stop spending money chasing the wrong people.
Looks at the exact moments your customers go quiet and builds the sequences that bring them back — before you lose them for good.
People are browsing, adding to cart — and leaving. This finds every leak in your store and tells you what to test first, ranked by revenue impact.
One live dashboard replacing five platforms. Always know your CAC, ROAS, and LTV/CAC ratio — updated weekly, not sent as a file once a quarter.
Connects your creator spend to real purchases so you know which partnerships drive sales — and which ones only look good on paper.
Four steps. Two to four weeks. A prioritised action plan at the end.
30-minute call to understand your stage, stack, and the question keeping you up at night.
I access your Shopify, GA4, and email platform to map your full data landscape and find the gaps.
Structured analysis with clear visualisations — cohort breakdowns, funnel maps, LTV models.
A prioritised list of exactly what to do next, with expected impact and owner for each item.
Four projects. Four beauty verticals. Click any card to see the full methodology.
GlowRitual had a strong hero product but 78% of buyers never returned. Their email list was large but underperforming, and they had no clear LTV data by product.
Mane Society was spending heavily on paid social but couldn't attribute which channel drove profitable buyers vs one-time discounters. ROAS looked fine — profitability didn't.
Aura had rapid top-line growth but margins were shrinking. No one could explain why. The problem turned out to be a product mix shift and hidden fulfilment cost spikes.
Bloom & Root launched a subscription box but had high churn in months 2–3 with no idea why. Post-purchase data was fragmented across three platforms.
Formally trained and independently certified across the platforms and disciplines I work in every day.
Book a free 20-minute discovery call Pick a time here.