SOLUTION · AI REFERRAL FUNNEL
AI assistants shape the purchase. Your storefront still treats every click the same.
ClickMint uses source and first-party behavioral data to identify how AI-referred shoppers behave, diagnose where revenue is lost, and generate and deploy higher-converting experiments—without adding work to your team.
90+
Ecommerce brands analyzed
$315M+
Ecommerce revenue analyzed
Source-level
AI traffic visibility
Control-tested
Incremental revenue lift
The problem
The decision happens before the click. The storefront starts over.
Intent formed upstream
AI visitors often arrive after researching a category, comparing alternatives and narrowing their requirements. A generic homepage or PDP makes them restart a decision they have already begun.
drop-off
cause-1
cause-1
AI traffic disappears into the blend
AI referrals are fragmented across platforms and frequently buried inside referral or direct traffic. Most brands cannot clearly see the channel’s conversion rate, revenue per user or economic value.
drop-off
cause-1
cause-1
No experience is optimized for it
Brands send AI-referred visitors into the same storefront as everyone else and measure the result in aggregate. That makes it impossible to know which post-click experience actually increases revenue.
drop-off
cause-2
cause-2
Where AI sits
Search captures demand. Social creates it. AI assistants shape the decision.
Most DTC brands lose 40–60% of their branded search revenue to a generic landing experience. Run the number.
EARLY ACCESS · QUALIFIED DTC BRANDS
The channel is new. The revenue discipline isn’t.
ClickMint is opening early access to qualified DTC brands that want to understand and improve the value of their AI-referred traffic. We first baseline its volume, behavior and revenue contribution, then determine whether the channel supports a dedicated experiment program.
THE solution
How ClickMint turns AI-referred traffic into measurable revenue.
01
Baseline and diagnose
ClickMint segments identifiable AI-referred sessions using referral, campaign, landing-page and first-party behavioral data. Our AI then identifies where those visitors stall and prioritizes the issues carrying the greatest revenue cost.
02
Generate and deploy
Where traffic volume supports testing, ClickMint’s AI generates the UX, copy, design and production-ready experiment code for channel-adapted experiences, then manages deployment and iteration without requiring work from the brand’s design or engineering teams.
03
Prove and compound the lift
Every experience is tested against control. ClickMint measures CVR, revenue per user and incremental GMV, learns from the result and determines what should be tested next.
Context
A post-click experiment created a clearer path from discovery to purchase, generating more revenue from existing traffic without increasing acquisition spend.
What’s included in every engagement. AI-driven end to end.
AI traffic baseline
Visibility into identifiable AI-referred sessions, conversion behavior and revenue yield.
Funnel diagnostics
AI detection and prioritization of the issues costing the channel revenue.
AI-generated experiment roadmap
The highest-value opportunities selected using behavioral data, benchmarks and prior learnings.
Experience generation
UX, copy, design and production-ready experiment code created by ClickMint’s AI.
Deployment and QA
Experiments launched through the ClickMint platform without requiring a storefront rebuild.
Incremental revenue reporting
CVR, RPU and GMV lift measured against control, followed by continuous AI-led iteration.