Onsite & martech
Give it the whole story.
Monetate personalizes experiences using the product data you supply. GoDataFeed delivers a complete, normalized catalog - attributes, categories, availability - so recommendations draw from truth.
Why it matters
What it rewards
What it needs from your feed
Thirty minutes, live, on your data — the mapping, the rules, the validations, the fix list. Or watch the demo tour first: the recorded version, no meeting required.
Why data completeness matters
A personalization engine can only segment, recommend and merchandise on the attributes it receives. Gaps in category, price or availability data quietly shrink what it can do.
The fields targeting and recommendation logic depend on are populated across the catalog.
Rules standardize categories and attributes so segments group the way you intend.
Sold-out products drop out of recommendations before they get promoted.
The same governed catalog behind your channels powers onsite experiences.
How it works
01
Your full catalog imports automatically with variants, attributes and inventory.
02
Rules normalize values and fill the fields personalization logic reads.
03
Catalog changes flow through automatically, keeping experiences current.
1
governed catalog behind personalization and every channel.
60+
channels the same catalog can feed.
0
stale exports driving what shoppers get recommended.
Questions, answered
What data does Monetate need?
A structured product catalog with attributes, categories, imagery, price and availability - delivered normalized and current.
Why do recommendations feel off?
They mirror the data. Missing attributes and stale availability skew what the engine can pick - fixing the catalog fixes the picks.
How current is the catalog?
As current as your schedule. Changes flow through automatically.
Go deeper
At a glance
Type
Channel
Connection
Feed format
Refresh
Order sync
No
Plan
Identity key
Before you start
Note
GoDataFeed optimizes, enriches, validates, and keeps your product data in sync across Google, Meta, marketplaces, and AI shopping.
