Skip to main content
This page describes the new analytics dashboard, which is rolling out to all accounts.
The Overview screen of the analytics dashboard answers four questions for the period you pick: how many of your users are risky or have a High-Risk Event, how clean your traffic is, which risk signals fire most, and where risky traffic comes from. Your users come first: each one is an account you identify with a hashed User HID, and each carries the worst band of its identifications in the period. Every tile opens Analytics with the matching filter. On the traffic quality, users, unique visitors and risk signal tiles, the figure on the tile is the count you land on. The analytics dashboard is built for desktop browsers.
The Overview screen of the analytics dashboard for the last 7 days: traffic quality at 14.36, Trusted, over 12,480 identifications; 1,240 users with 104 risky users and 46 High-Risk Event users; the four High-Risk Events with their Medium and High confidence counts; 3,910 unique visitors, 3,490 Trusted and 420 risky; the top risk signals VPN, Timezone Mismatch, Datacenter IP and Proxy; and the riskiest identifications.The Overview screen of the analytics dashboard in the dark theme for the last 7 days: traffic quality at 14.36, Trusted, over 12,480 identifications; 1,240 users with 104 risky users and 46 High-Risk Event users; the four High-Risk Events with their Medium and High confidence counts; 3,910 unique visitors, 3,490 Trusted and 420 risky; the top risk signals VPN, Timezone Mismatch, Datacenter IP and Proxy; and the riskiest identifications.

The Overview screen of the analytics dashboard: traffic quality, users, High-Risk Events and risk signals for the selected period.

Period and domain

The row at the top of the screen sets the scope of every figure below it.
  • Period: Today, Yesterday, Last hour, Last 24 hours, Last 7 days (the default), Last 30 days, Last 90 days, or Custom range. The period selector covers the last 90 days.
  • Domain: All domains, or one of your domains.
  • Compare: shows each figure’s change against the previous period of the same length. It is off by default.
  • Refresh reloads the period. A New data hint appears when newer identifications have arrived.
Analytics and the user, device, visitor and IP cards keep the same period and domain when you open them from here. AI Copilot keeps the period and reads every domain on your account. The plan usage in the side rail follows your billing cycle, so it stays the same whatever period you pick.
The period and domain row of the analytics dashboard with Last 7 days (Sep 20 to Sep 26) selected and the domain menu open: All domains with 12,480 identifications, example.com 11,020, dev.example.com 1,460 and shop.example.com 0.The period and domain row of the analytics dashboard in the dark theme with Last 7 days (Sep 20 to Sep 26) selected and the domain menu open: All domains with 12,480 identifications, example.com 11,020, dev.example.com 1,460 and shop.example.com 0.

Pick the period and one domain or all domains in the analytics dashboard.

Traffic quality

The gauge shows the average Risk Score of the period’s identifications, with its band: Trusted (0 to 29), Suspicious (30 to 59) or Dangerous (60 to 100). Next to it, Identifications counts every identification in the period, and Trusted, Suspicious and Dangerous split them by band, each with its share. Together they answer the first question: how clean is my traffic in this period? Select a band tile to open those identifications in Analytics.
The Traffic quality card of the analytics dashboard: the gauge at 14.36, Trusted, next to 12,480 identifications, 9,610 Trusted (77%), 1,870 Suspicious (15%) and 1,000 Dangerous (8%).The Traffic quality card of the analytics dashboard in the dark theme: the gauge at 14.36, Trusted, next to 12,480 identifications, 9,610 Trusted (77%), 1,870 Suspicious (15%) and 1,000 Dangerous (8%).

Traffic quality in the analytics dashboard: the average Risk Score of the period's identifications and their split across Trusted, Suspicious and Dangerous.

Users

The Users panel counts the accounts active in the period, keyed by the hashed User HID you pass with checkAuthenticatedUser, in three groups that do not overlap:
  • Trusted: every identification of the user in the period is Trusted, and the user has no High-Risk Event.
  • Risky users: the user’s worst band in the period is Suspicious or Dangerous, and the user has no High-Risk Event.
  • High-Risk Event users: the user has at least one High-Risk Event, whatever its band.
The arrow next to the users total opens the Users tab of Analytics, where every user opens its card.
The Users and High-Risk Events panels of the analytics dashboard: 1,240 users split into 1,090 Trusted, 104 Risky users and 46 High-Risk Event users; Multi-accounting 22 users (14 Medium, 8 High confidence), Account sharing 12 (8 Medium, 4 High), Impossible travel 7 (5 Medium, 2 High) and Account takeover 5 (3 Medium, 2 High).The Users and High-Risk Events panels of the analytics dashboard in the dark theme: 1,240 users split into 1,090 Trusted, 104 Risky users and 46 High-Risk Event users; Multi-accounting 22 users (14 Medium, 8 High confidence), Account sharing 12 (8 Medium, 4 High), Impossible travel 7 (5 Medium, 2 High) and Account takeover 5 (3 Medium, 2 High).

Users and High-Risk Events on the Overview screen of the analytics dashboard, counted for the users active in the selected period.

High-Risk Events

Four tiles, one per event, always in this order: Multi-accounting, Account sharing, Impossible travel and Account takeover. Each tile shows the share of users with the event, the number of those users, and how many of them sit at Medium confidence and at High confidence. Shares and counts are counted for the users active in the selected period. Confidence is a separate axis from the Risk Score and the band: a user can be Trusted on every identification and still have a Multi-accounting event. The line under the panel shows when High-Risk Events were last updated. Select a tile to open the identifications of those users in Analytics, filtered to that event; switch to the Users tab to review the users themselves.

Unique visitors

A visitor is one device plus one cookie, identified by its Visitor ID. Trusted and Risky visitors split all the period’s visitors by their worst band, so the two add up to the panel’s total:
  • Trusted: the visitor’s worst band in the period is Trusted.
  • Risky visitors: the visitor’s worst band in the period is Suspicious or Dangerous.
Good bots count the visitors among them identified as known search-engine crawlers, and Bad bots the visitors that fired Browser Automation, so a bot is also counted as Trusted or Risky. Bots are counted per visitor. Each tile opens the Unique visitors tab of Analytics with the matching filter, and Bots and automation explains both.
The Unique visitors panel of the analytics dashboard: 3,910 unique visitors, with tiles Trusted 3,490 (89.3%) and Risky visitors 420 (10.7%), which add up to the total, and among them Good bots 70 (1.8%) and Bad bots 40 (1%).The Unique visitors panel of the analytics dashboard in the dark theme: 3,910 unique visitors, with tiles Trusted 3,490 (89.3%) and Risky visitors 420 (10.7%), which add up to the total, and among them Good bots 70 (1.8%) and Bad bots 40 (1%).

Unique visitors in the analytics dashboard: good bots are search-engine crawlers, bad bots are automated browsers.

Risk signals and riskiest identifications

Risk signals shows the four risk signals that fired on the largest share of the period’s identifications, each with its share and count. The arrow opens the full list with each signal’s Weight, Share and Identifications. One identification can fire several risk signals, so the shares do not add up to 100%. Select a signal to open its identifications in Analytics. Riskiest identifications lists the highest Risk Scores of the period, each with its request ID, its top risk signals and its country. Select a row to open its identification card; the arrow opens the Dangerous band in Analytics.
The Risk signals panel and the Riskiest identifications list of the analytics dashboard, next to the Unique visitors panel: the top risk signals VPN (11.9% of identifications), Timezone Mismatch (9%), Datacenter IP (6.9%) and Proxy (5.1%); the riskiest identifications at Risk Score 90 with JavaScript Disabled, 75 with VPN and Anti-detect Browser, then 70 with pairs such as Anti-detect Browser and Proxy or Browser Automation and Datacenter IP.The Risk signals panel and the Riskiest identifications list of the analytics dashboard in the dark theme, next to the Unique visitors panel: the top risk signals VPN (11.9% of identifications), Timezone Mismatch (9%), Datacenter IP (6.9%) and Proxy (5.1%); the riskiest identifications at Risk Score 90 with JavaScript Disabled, 75 with VPN and Anti-detect Browser, then 70 with pairs such as Anti-detect Browser and Proxy or Browser Automation and Datacenter IP.

Risk signals and the riskiest identifications of the period in the analytics dashboard.

Top lists

Six lists show where the period’s identifications came from: Top countries, Top browsers, Top OS, Connection type, Top channels and Top device types. Each row carries its Identifications and its Risk, the average Risk Score of those identifications. The arrow in a list’s header opens the full list with Value, Share, Identifications and Risk, and each row opens Analytics filtered to that value. The channel values are listed on Traffic Analytics.
The six top lists of the analytics dashboard, each row with its share, identifications and average risk: Top countries led by US, Top browsers led by Chrome, Top OS led by Windows, Connection type led by Direct, Top channels led by Organic Search and Top device types led by desktop.The six top lists of the analytics dashboard in the dark theme, each row with its share, identifications and average risk: Top countries led by US, Top browsers led by Chrome, Top OS led by Windows, Connection type led by Direct, Top channels led by Organic Search and Top device types led by desktop.

Top channels, countries, browsers, OS, connection types and device types in the analytics dashboard, each with its average risk.

Empty states

  • Before the first identification. The panels stay empty until the snippet reports. Open Integration and check that your domain shows Reporting.
  • No User HID in the selection. The Users and High-Risk Events panels say that the selection has no hashed User HID, and the rest of the screen works as usual. Pass a hashed User HID with checkAuthenticatedUser on every signed-in page. Users, account-level risk and all four High-Risk Events are built on it. See Identify signed-in users.
  • Nothing in the period. Pick a longer period or another domain.

Reading the analytics dashboard is free

Opening any screen, filtering and exporting use none of your included identifications. Your plan counts identifications only.

Next steps

Analytics

Find the users, devices, visitors and IPs behind any tile and filter them.

User and device cards

One account with its band, its High-Risk Events and everything linked to it.

Identification card

Why one identification scored what it did.

AI Copilot

Ask about your traffic and open the evidence behind each answer.

Integration

Snippet, domains, API keys and webhook endpoints.

Usage and plan

Identifications used this billing cycle, and your plan.

Users, devices, visitors and IPs

The five identities behind every tile, and how they link.

High-Risk Events

The four events detected on your users, at Medium or High confidence.

Risk signals

Every risk signal with its weight.