DataStated

This is the live demo: the real dashboard on a full example dataset covering up to 400 days. Ranges and filters work with that example history.

demo.datastated.com

Acme Inc. · Last 30 days · Aug 16 to Sep 14, 2026

Filter
1 visitor in the last 5 minutes
How many different people came to your site. Someone who visits three times still counts once. The same person on a phone and a laptop counts twice, and people using ad blockers may not be counted at all, so treat this as a solid floor rather than an exact headcount.
How many pages were looked at in total, counting every view. One person reading five pages is five pageviews.
How many sales your own site recorded in this period. This is your record, not a number an ad platform is claiming.
How much money your own site recorded in this period, before any refunds, credited to the last place each buyer came from before they bought.
Out of everyone who visited, the share who placed an order: orders divided by visitors. Only shown when there were visitors to divide by.
Revenue divided by visitors: what an average visit was worth in this period. Counted from your own records, never estimated.
Pick the stretch of time the whole page describes. Presets end on today, except Yesterday and Last month. Days start and end at midnight UTC (universal time), not your local midnight, so a late evening visit can land on the next day. All time starts on the first day this site has data for. Use Custom to pick exact days.
How much time each point on the chart covers: one hour, one day or one week. Hourly is offered for ranges up to two days, weekly from two weeks. Hours and days follow UTC (universal time).
Draws the same number for the stretch of time just before this one, the same length, as a dashed line behind the current one. Hover any point to see both figures and the change between them. Last 7 days compares with the 7 days before those; This month compares with the same number of days before the 1st.

Visitors by day

Different people each day. Someone active in two days counts once in each.

Money totals, charts and breakdowns show USD only. No currency conversion is applied. Order counts include all currencies.

Visitors The period before, for comparison Today so far

What happened

Notes and commits show as marks under the chart, so a jump in the numbers sits next to the thing that caused it.

Nothing noted in this period.

Where your visitors came from

Direct1,055
Meta Ads302
Google237
Google Ads179
TikTok Ads121
Newsletter94
Bing78
Facebook75
Meta74

Where your visitors came from. One person can show up under more than one source if they arrived more than once. Money is credited to the last source someone used before they bought.

What people looked at

/pages/about487
/products/court-classic-tee482
/collections/new-arrivals477
/cart476
/collections/best-sellers459
/products/box-logo-crewneck456
/453
/products/heat-check-hoodie412
/checkout/thank-you0

How many times each page was viewed, counting every view, not just the first one per person.

What people did

newsletter-signup96
start-checkout95

How many different people completed each goal. Someone who does the same thing twice still counts once.

Goal details

"newsletter-signup" was completed without any details in this period. Details are extra facts sent with a goal, like the plan someone picked or the form they filled in. Whoever set up your goal can send them:ds("goal", "newsletter-signup", { plan: "pro" })

Each row is a value people sent with this goal. People is how many different visitors completed it that way; Revenue is the verified money those same visitors spent in this period. Click a value to filter the whole page to those people.

Who was visiting

1,289

Visitors

Desktop61447.6%
Mobile56543.8%
Tablet1108.5%
🇺🇸 US633
🇬🇧 GB146
Unknown120
🇨🇦 CA118
🇩🇪 DE88
🇫🇷 FR66
🇦🇺 AU65
🇳🇱 NL53

Phone, tablet or computer on the left, and on the right where in the world your visitors were, which browser they used, and which operating system. When a country cannot be established for certain it is counted as Unknown rather than guessed.

Claims versus what actually happened

Ad platforms report the sales they think they caused. This puts that number next to the sales your own site actually recorded, so you can see how far apart they are.

What each platform claims

Matching USD ad currency and processor-payment currency have not been verified. Revenue gaps and ROAS are unavailable. Payment revenue below includes USD only, with no currency conversion.

Meta Ads

Platform-claimed conversions: 47 (example). Monetary comparison unavailable.

Payment confirmation has not been loaded for these orders.

Google Ads

Platform-claimed conversions: 24 (example). Monetary comparison unavailable.

Payment confirmation has not been loaded for these orders.

Stripe charges and reconciled Shopify payments confirm collected money. Browser and API order reports do not confirm payment. Paid-channel attribution uses captured parameters; it does not prove that an ad caused a sale. Campaign rows contain platform claims only.