Same store.
Different shopper.
Different storefront.
Ezzeefy reads what shoppers do in your store — then changes what they see, what they get emailed, and what happens at checkout. Analytics, marketing and personalization in one app.
2,481,930 storefront decisions today
+720/minCharges, if any, appear on Shopify's approval screen before you agree to anything.
Personalization engine
change what shoppers see · decided per visitor
- source
- instagram · paid
- history
- none
- cart
- empty
behavioural signals match anonymous visitors too
New here
Start with what everyone's buying
10% off your first orderEveryday Tote
$68
Linen Shirt
$92
Wool Scarf
$45
Welcome popup · 10% code
Holdout test
a control group proves real lift
Auto-optimize
Thompson sampling · shifts to the winner
Content targeting
Insert or replace fields in any theme section.
Recommendations
Eight algorithms plus manual curation.
Overlays
Popups, slide-ins & banners — load, exit, scroll, cart.
Targeting signals
Customer, RFM & scores — even anonymous visitors.
Holdout testing
Hold back a control group; measure real lift.
Auto-optimize
Shift traffic toward whatever is winning.
SEO zone
Server-side fallback, personalized swap in-browser.
the loop
Four steps, running on every pageview
reads → decides → renders · ~40ms
01
Collect
Every view, cart and checkout, stitched to one shopper.
02
Understand
RFM, lifecycle, churn risk and LTV, scored per customer.
03
Decide
The engine picks what this exact visitor should see.
04
Act
Storefront, email and checkout change to match.
features
Four systems, one install.
Each works on its own. They get better together, because they read the same customer data.
audiences
Every customer, already sorted
Lifecycle stage, buying propensity, predicted lifetime value, RFM tier and churn risk are calculated for every customer on your store. Live member counts, and one click turns any group into a native Shopify segment.
How the scores work →personalization engine
One section, decided per visitor
A high-value shopper sees early access. Someone drifting away sees a win-back offer. A first-time visitor sees what everyone else is buying. Same section, same theme, decided as the page loads.
How targeting works →Early-access hero
champion · full price, no code
Win-back offer + form
churn risk high · re-engage
Bestsellers grid
first visit · social proof
experiments
Proof, not vanity metrics
Hold back a group that sees nothing, and measure everyone else against them. That difference is what personalizing actually earned you — a number a click-through rate cannot give you.
How holdout works →measured lift vs holdout
the cyan cap is what personalizing earned