Brickroad
Brickroad
IndexSignalsBlog
/Index//

Product

  • Information Frontier Agent
  • Vendor Management Agent
  • Product Tour
  • Pricing

Solutions

  • All Solutions
  • Atlas
  • Wayfinder
  • Horizon

Suppliers

  • Sell Your Data
  • Start Onboarding
  • Programmatic Data License

Community

  • Public Index
  • Signals
  • Blog

Company

  • About
  • Team
  • Careers
  • Brand

Connect

  • LinkedIn
  • X
PrivacyTermsCookies

© 2026 Brickroad

/Index/ClickMint/Post-click behavioural panel for AI-referred ecommerce traffic
C

Post-click behavioural panel for AI-referred ecommerce traffic

CLICKMINTManage supplier listing

Post-click behavioural panel for AI-referred ecommerce traffic: session-level records across 90+ DTC brands identifying the AI source of each visit, the landing page, scroll/dwell/exit behaviour, and attributed revenue, paired with a second and rarer layer — controlled A/B experiment records showing which post-click storefront experience (copy, UX, design variant) converted AI-referred visitors better, with measured lift in conversion rate, revenue per user and GMV. Also holds a normalised source-level taxonomy of AI referral channels that most brands cannot see because the traffic is buried in referral/direct.

Open buyer room →
ClickMint/Post-click behavioural panel for AI-referred ecommerce traffic
SampleCoverage

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks ClickMint and files the sample in your catalog — private to you.

Start 7-day trial→Nothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry
Application SoftwareMultiline & Direct Marketing Retail
Instruments
equities
Categories
Alternative
Sentiment
Regions
US
Sample tickers
SHOPAMZNETSYMELIWMTBBYDGNKELLYVK.SK
Dataset card
Type
not stated
Format
Tabular + event-stream (session and behavioural event records, source-level revenue attribution tables, experiment definitions with variant payloads and measured outcome metrics; deployed UI/copy variants as structured text and HTML)
Volume
$315M+ of ecommerce revenue analysed across 90+ brands; at a typical DTC AOV of roughly $70-120 this implies on the order of 2.6M-4.5M attributed orders, and therefore tens of millions of behavioural sessions (each order preceded by many tracked sessions with scroll/dwell/exit events)
Users
90+ ecommerce/DTC brands analysed; company headcount 7, so the panel is delivered through a small platform plus services motion
History
2 years
Update frequency
not stated
Growth
Active / early-stage (page explicitly states 'EARLY ACCESS · QUALIFIED DTC BRANDS' and 'ClickMint is opening early access', with free-audit and diagnostic funnels live; 7-person company)
Launched
~2025 (inferred: the product's premise is measuring AI-assistant referral traffic, which only became volume-relevant in 2025; also still in explicit 'early access', and a 7-person founding team indicates a very recent launch)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

ClickMint has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling