LogoCatalyst
Calculate My Revenue Lift
Live Personalization Engine
Visitor profile:First-time visitor
Merino Crew
Merino Crew
$12894%
Slim Chinos
Slim Chinos
$8987%
Canvas Sneakers
Canvas Sneakers
$7491%
Linen Shirt
Linen Shirt
$9682%
Leather Belt
Leather Belt
$4578%
Wool Blazer
Wool Blazer
$24596%

Every visitor sees a shelf built only for them — rewired in real time from behavioral signals, not guesswork.

The math, moving

Stop showing the same shelf to every stranger.

Catalyst watches every click, hover, and cart signal — then rewires your product grid before the next page loads. Mid-market DTC brands doing $5M–$80M finally have an engine built for their velocity.

Conversion Rate
1.8%
+138%
vs. baseline
Avg Order Value
$67
+$22
vs. baseline
Rev / Session
$1
+101%
vs. baseline

No credit card required. See your revenue gap in 60 seconds.

The ugly truth

Your product page is hemorrhaging revenue.

68% BOUNCE
Click density

Top 2 products get 84% of all clicks

The other 10? Invisible.

68%

of visitors bounce from generic product pages

That's revenue walking out your door, every hour, every day.

"We're showing the same twelve products to every visitor. A first-time browser sees the same shelf as our most loyal customer."

Sarah Chen, E-commerce Director at Moven Apparel

Sarah Chen

E-commerce Director, Moven Apparel — $34M ARR

Shopify's 'You May Also Like' is trained on everyone, not anyone.

💸

Every irrelevant recommendation is a missed sale and a thinning margin.

📉

Cart abandonment climbs when visitors can't find what fits their intent.

Three-layer engine

Intelligence stacked three layers deep.

Most recommendation engines match products to purchase history. Catalyst reads who someone is right now — their intent, context, and catalog fit — then rewires the shelf before they scroll.

01
Layer 01

Behavioral Intelligence

Real-time signal capture

Every hover, dwell, scroll depth, and click sequence is ingested as a live behavioral stream. Catalyst builds a session intent profile within the first 8 seconds of a visit.

<8s to first profile
140+ behavioral signals
0ms latency
02
Layer 02

Contextual Awareness

Who they are, right now

Referral source, device, time-of-day, weather, and prior visit history combine into a contextual fingerprint that segments visitors without cookies or PII.

Cookie-free
GDPR compliant
12 context dimensions
03
Layer 03

Catalog Intelligence

Your inventory, ranked

Catalyst scores your entire catalog against each visitor profile in real time — surfacing products with the highest purchase probability, not just your bestsellers.

Full catalog scoring
Real-time ranking
Margin-aware weighting
Visitor lands
Signal capture (8s)
Context fingerprint
Catalog scoring
Grid rewired
End-to-end latency: < 50ms
Live in 15 minutes

Three steps. No engineers required.

01

Install the SDK

One script tag. Works with Shopify, Magento, BigCommerce, and headless stacks.

<script src="cdn.usecatalyst.ai/sdk.js"
data-key="YOUR_KEY"
async></script>
02

Connect your catalog

Sync products via our Shopify app, CSV feed, or REST API. Live in under 15 minutes.

catalyst.sync({
catalog: "shopify",
refresh: "realtime"
});
03

First recommendations live

Catalyst starts learning immediately. You'll see personalized grids serving within the first session.

Personalization active
The proof

Revenue climbs from day one.

Average across 47 DTC brands, first 90 days post-activation.

Revenue / session
Day 0 / 90
baselineDay 0Day 30Day 60Day 90
+$2.1M
Avg revenue lift
first year
47 days
Payback period
median
47+
Brands activated
DTC brands
Revenue lift calculator

See your revenue gap before we ask for anything.

Enter your current traffic and conversion rate. We'll show you the dollar figure sitting on the table.

%

Industry average: 2.1% — we'll use this if blank

$

Enter your traffic above to see your revenue gap.