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TicketingAvailable with Expose

Keep tickets for fans.

At on-sale, bots grab seats and hold them in carts while fans see “sold out”. Label every session in the queue and at checkout, and rate-limit the automation holding your inventory.

For ticketing platforms and venues selling high-demand events.

Where 50,000 tickets went at on-sale

  1. Tickets on saleTickets on sale: 50,000
  2. Cart sessionsCart sessions: 120,000
  3. Tickets held by automationTickets held by automation: 3,000
  4. Inventory tied upInventory tied up: $240,000

Human 90%Agent 1%Bot 7%Unknown 2%

Illustrative example 120,000 cart sessions; 6% of inventory held by automation; $80 average ticket. Hypothetical.

Where money is affected

Held seats are unsold seats.

Bots hold tickets in carts to resell or to block. Fans give up, and seats released late often go unsold or to resellers.

Agents buying a ticket for a real fan are not the same thing. Expose labels them separately so your rules can tell the difference.

The real picture

On-sale, two ways.

Tickets free for peopleTickets free for people: 50,000+6%
Inventory held by automationInventory held by automation: $0−100%
Bot sessions rate-limitedBot sessions rate-limited: 8,400

Illustrative example Hypothetical figures; your own numbers will differ.

Your numbers

What it could mean for you.

Replace the example with your own figures.

Inventory tied up
$240,000
Tickets held by automation
3,000

Inventory tied up = tickets × share held by automation × ticket price.

Illustrative example Your numbers, not a promise. Savings depend on the decisions you make with the evidence.

An example decision

One cart at on-sale.

Illustrative example
Session
bot · confidence high
Cart
8 tickets, block C
Policy
Rate-limit likely bots
Hold
Released to the queue

The seats go back to the fans waiting in line.

How it fits

From evidence to a decision.

  1. 01

    Install the script

    Paste the snippet on queue and event pages.

  2. 02

    Pick the profile

    data-profile="ticketing" protects carts and checkout.

  3. 03

    Set your limits

    Choose how hard to rate-limit likely bots.

  4. 04

    Watch the on-sale

    See humans, bots and agents live in HQ.

What your team can do

Act on it, your way.

Before you start.

Will fans be blocked?

No. People are not challenged by default; likely bots are rate-limited.

What about agents buying for fans?

They are labelled as agents, separately from bots, and can still buy.

Does this stop resale?

No. It limits automated holding at on-sale; resale rules are yours.

What about sessions you cannot classify?

They stay unknown, and are not counted as bots.

Set up for Ticketing

Fans first. Scalpers flagged.

Catch checkout bots during on-sales, with tighter thresholds where it matters.

How profiles work
Default policydata-profile="ticketing"
checkoutLower thresholds

Everything else is tagged, never blocked, unless you say so.

What you get

Where the label goes

Other covers

Available with Expose

See the real picture.