The opportunity
Your confirmation page should be working as hard as you are.
How Falcon shows up
Every transaction is a chance to reward the customer who
just said yes.
$0.50+
Revenue per transaction
Our benchmark. Most merchants we talk to are earning less, and that gap gets wider once you account for fill rate.
100%
Fill rate target
What we hold ourselves to, and what we're achieving across our current merchant base. An empty slot is a failure mode. We treat it that way.
60%+
Merchant rev share
The majority of revenue, always.
You paid to acquire this customer. Falcon pays you back.
The confirmation page is your only shot to recover margin without another campaign. Falcon turns it into a P&L line that compounds with volume.
Direct demand, full merchant control
Every advertiser is sourced, vetted, and actively managed by our team, with merchant-level approval. Full visibility into performance. Category-level and brand-level blocking available at any time.
Fill rate is a standard, not a feature
An empty slot is a failure mode. We're achieving near-100% fill across our current merchant base. Not a contractual guarantee, but the standard we hold ourselves to.
Built to compete
Demand partner or full infrastructure layer. Your call. Either way, you control the mix: non-endemic brands, direct-sold campaigns, house ads, loyalty programs. No exclusivity requirement. No single-demand dependency.
CPA-driven optimization that compounds
The result is the most competitive RPT in post-checkout. We earn on outcomes, not impressions or
clicks. Every empty slot and irrelevant offer is our loss too. Merchants earn the majority of revenue on their placements.
Format flexibility, built to perform
Tested formats built to feel native. We find the right mix and keep optimizing. The unit gets sharper over time without adding work to your team.
Curated demand
Curated Offers from Premium Brands
01
Data signals at the point of purchase
Falcon ingests first-party purchase signals at checkout: order value, product category, brand affinity, AOV, device type, geography, and purchase context (gift vs. self-purchase). These combine with publisher-level audience data to build a real-time buyer profile for every transaction.
02
ML-driven offer ranking
A purpose-built relevancy model scores every available advertiser against that buyer profile in real time. The model learns continuously from engagement and conversion signals, improving offer-to-buyer matching across every impression, without any additional setup from the merchant.
03
AI-optimized creative and messaging
Offer copy, headlines, and CTAs are dynamically generated and tested against audience segments using LLM-based creative optimization. Messaging adapts to context rather than serving static creative, and gets sharper over time as conversion data feeds back into the model.
What partners say
