Product analytics for your storefront

Product analytics shows you how customers interact with your products on your public storefront — from the moment they see a product to when they buy it. You can see which products attract attention, which ones people add to their cart, and which ones actually get purchased, so you can spend your energy on what moves the needle.

Where to find it

In your Flyapp dashboard, go to Product analytics in the left sidebar (under Analytics). The full path is Intern → Analytics → Product analytics.

What you’ll see

KPI tiles (top of the page)

Six summary numbers for your selected date range:

Impressions — how many times your products appeared on screen.
Detail views — how many times someone clicked into a product page.
Added to cart — how many times a product was added to a cart.
Checkouts started — how many times someone opened the checkout form.
Purchases — completed orders.
Revenue — total revenue from those orders.

Each tile also shows whether that number is up or down compared to the previous period of the same length.

Funnel

The funnel shows the full path from seeing a product to buying it:

Impressions → Detail views → Added to cart → Checkout started → Purchases

Each step shows the drop-off percentage — how many people who reached that step did not continue. This tells you exactly where you’re losing customers.

Product table

A sortable table with one row per product showing views, cart adds, cart rate, purchases, conversion rate, units sold, and revenue. Click a row to open the product drilldown.

Best sellers

Top 10 products by revenue in the selected period.

Needs attention

Products with at least 50 views in the period but the lowest conversion rates. These are the products people are interested in but not buying — worth investigating.

Product drilldown

Click any product in the table to see:

Its own funnel (impression → purchase).
A daily trend chart (views, cart adds, purchases) over the selected date range.
A variant breakdown if the product has multiple sizes, colors, etc.
A direct link to the product edit page.

How to read the funnel — a concrete example

Suppose you see:

Step	Count	Drop-off
Impressions	1,000	—
Detail views	200	80%
Added to cart	60	70%
Checkout started	40	33%
Purchases	20	50%

This means:

Only 1 in 5 people who see a product click through to its page. Low detail-view rate often means the product photo or price isn’t compelling in the listing.
Of those who click through, 30% add to cart — that’s healthy.
Half of people who start checkout don’t complete it. That’s a checkout friction problem (maybe delivery zones, pricing, or required fields).

How to use this to improve sales

Low detail-view rate? Your product card photos or prices may not be grabbing attention. Try better photos, clearer names, or a more competitive price point.
High cart rate but low purchases? Customers are interested but dropping off at checkout. Check that your delivery zones cover where your customers are, review your delivery fee, and make the checkout form as short as possible.
Products in “Needs attention”? Compare them to your best sellers. Often the difference is the main photo, price, or product description. Update the underperformer to match what works.
Funnel narrows sharply at “Checkout started → Purchases”? Run a test order yourself and time how long checkout takes. If it’s confusing or slow, simplify it.
Low impressions overall? Your storefront may not be getting traffic. Consider sharing the link on social media or with past customers.

FAQ

Why don’t I see any data yet? Product analytics started tracking when the feature was activated for your account. There is no historical data from before that point. Give it a few days and numbers will start appearing.

Does this track personal information about my customers? No. The system uses an anonymous identifier stored in the customer’s browser — it has no name, email, or any other personal data attached to it. Purchases are linked to order data you already have, not to the anonymous browsing identity.

How long is data kept? Raw event data is kept for 90 days. The summary data that powers the dashboard charts and tables is kept indefinitely.

Can I export this data? Not in v1. Export is on the roadmap.

The numbers look different from my order count in the Orders page — why? The Orders page shows all orders regardless of how they were placed (manual orders you created, subscription orders, etc.). Product analytics counts only storefront-originated purchases. The two numbers may differ if you enter orders manually on behalf of customers.