Segment Intelligence · eCommerce BI

Your data has answers.
You just can't
see them yet.

GA4 gives you a product list. What it can't tell you is whether to allocate more paid budget to Women or Men, which category to send that traffic to, whether your full-price Dresses convert better than discounted ones, or what revenue you're leaving on the table for every 1,000 visitors you send to the wrong segment.

We build dashboards that turn your data into clear answers — where to spend, what creative to run, and which segments are hiding your next breakthrough. And that's just the start. The same infrastructure powers LTV modeling, cohort analysis, profitability tracking and financial forecasting — everything you need to stop guessing and start compounding.

Real Questions. Real Answers.

Questions your business can finally answer.

Click any card to apply a filter — or combine multiple filters below. Click a product name in the dashboard to instantly see exactly where it sits across every dimension.

Q1 · AD SPEND ALLOCATION BY GENDER
What should my ad spend allocation be between genders — and for each gender, where should I be sending paid traffic?
→ Women drive the highest Rev/1K Views overall and should receive the largest share of budget. Within Women, prioritize Dresses first, Shoes second — these two categories dominate Women's revenue. For Men, Shoes (specifically Sneakers at 25% off) are the clear traffic priority. Kids converts well under $100 but the segment is small — allocate last. Don't split budget evenly across genders; the data tells you exactly where each dollar works hardest.
▶ See the full gender breakdown below
Q2 · MEN × DISCOUNT STRATEGY
For Men's paid campaigns — which discount percentage drives the best return, and what should the creative focus on?
→ 65% of Men's sales are discounted, but not all discounts are equal. Sale 15% underperforms — low Rev/1K Views across all categories. Sale 40%+ collapses ASP without meaningful volume lift. The sweet spot is 25% off: Sneakers at 25% off generate $728 Rev/1K Views — the highest in the entire Men's segment. Lead your paid creative with 25% off White and Black Sneakers. That's where the margin and volume intersect.
▶ Filters: Gender = Men
Q3 · KIDS × PRICE CEILING
Are Kids shoppers hitting a price ceiling that your product mix isn't respecting?
→ Kids items under $100 convert at 4.7–4.9%. Once price crosses $150, CVR collapses to under 1% — Kids Jackets and Wool Coats are getting nearly 1,400 combined views and selling almost nothing. The $150+ Kids range is a traffic drain with no return. Either reprice or pull spend entirely from those SKUs.
▶ Filters: Gender = Kids
Q4 · SILK × CONVERSION PARADOX
Silk has the highest ASP — but does it actually convert well, and is it worth the traffic allocation?
→ Silk has ASP $310 but a low CVR. It gets a disproportionate share of views relative to conversions. Customers browse silk but hesitate to buy — a social proof and returns policy problem, not a pricing one.
▶ Filters: Material = Silk
Q5 · MEN × CATEGORY BREAKDOWN
Which Men's category drives the most revenue per 1,000 views — and where are we underinvesting in traffic?
→ Men's Shoes generate the highest Rev/1K Views across the segment — Sneakers alone account for over 60% of Men's shoe revenue. Tops receive the most traffic but convert at a lower rate and lower ASP. Shifting paid spend toward Shoes, specifically Sneakers, would significantly improve Men's blended ROAS without increasing overall budget.
▶ Filters: Gender = Men
Q6 · DRESSES × FULL PRICE VS SALE
For Dresses — do we need to keep pushing sale creative, or can we lean into full price?
→ Full price Dresses convert at 4.1% vs 3.2% for discounted styles. Full price also drives 68% of total dress revenue despite receiving less traffic. You don't need the discount to close — defaulting to sale creative is costing you margin without lifting volume.
▶ Filters: Category = Dresses

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Interactive Demo · Fashion Brand

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Fashion Brand — Product & Segment Overview
Compared to: Apr 1, 2025 — Apr 30, 2025
Product Views
CR%
Gross Quantity
Gross Revenue
ASP
Gross Quantity Sold Over Time
Trend.
Interactions by Product Name
Product NameViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
Interactions by Gender
GenderViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Gender
Interactions by Category
CategoryViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Category
Interactions by Sub Category
Sub CategoryViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Sub Category
Interactions by Material
MaterialViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Material
Interactions by Color
ColorViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
Interactions by Size
SizeViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
Interactions by Price Range
Price RangeViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Price Range
By Discount Percentage
Discount BandViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
By Discount
Set Vs Not Set
Is SetViewsGross Qty ▼Gross SalesASPCR%Rev / 1K Views
Set vs Individual

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