Product feed for Manago AI
Generate and auto-update a product feed (XML file) for Manago AI. Data Octopus combines product data with sales and margin, feeds product recommendations in emails and on site and sends a ready product file to Manago AI.
What is Manago AI?
Manago AI is an e-commerce marketing automation platform that uses artificial intelligence to personalize customer communication. It allows brands to run automated email campaigns and other communication channels, segment customers, and recommend products based on user behavior.
Why does Manago AI need a good product feed?
Personalization in Manago AI is only as good as the data powering it. The product feed serves as the single source of truth for the product catalog that the platform matches to customers. The quality of the feed determines:
which products are selected for personalized communication,
whether communications display up-to-date prices and availability,
whether the AI recommends products with store profitability in mind.
How is the Data Octopus product feed better than a standard one?
Data Octopus feed
Data Octopus enriches the feed with attributes unavailable in a standard e-commerce platform: margins, profitability, seasonality, trends, and product performance across advertising channels. These attributes are recalculated daily using data from GA4, Google Ads, Meta Ads, the e-commerce platform, as well as margin and cost-of-goods-sold (COGS) data. As a result:
- Manago AI receives additional signals for personalization: not just what the product is, but how profitable it is and how well it sells,
- out-of-stock or unprofitable products can be excluded from communications,
- prices and stock levels are synchronized alongside store data.
What does the Data Octopus product feed make possible in Manago AI?
New communication strategies driven by product profitability, trends, and seasonality.
More effective product matching for customer segments thanks to enriched feed attributes.
Automated campaigns featuring bestsellers, new arrivals, and trending products.
Limiting discount promotions strictly to products with sufficient margin buffer.
As a result, personalization in Manago AI actively drives the sale of products that generate the highest profit for the store.
How does Data Octopus work with this data?
Strategy
Set goals for Manago AI: which products to push and which to hold back.
Segmentation
We segment products by sales, margin and trends before they reach Manago AI.
Feeds
A ready feed for Manago AI updates automatically, with segment labels.
Audience lists
RFM-based customer lists for campaigns in Manago AI.
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Frequently asked questions
What fields must a Manago AI product file include?
A Manago AI product file needs at least an ID, title, description, product link, image link, price and availability. Brand, GTIN/EAN, category, sale price and variants are also recommended. Data Octopus maps these fields automatically to the Manago AI specification and adds extra fields with segmentation.
Which format should a Manago AI feed use: XML, CSV or Google Sheets?
The most reliable option is an XML or CSV file at a fixed URL that Manago AI fetches automatically. Data Octopus generates the feed in the format Manago AI requires, so there are no manual store exports or spreadsheets to maintain.
How do I optimise a Manago AI product feed to improve campaign results?
The biggest gain comes from combining product data with sales and margin data. In practice: rule-based titles and descriptions, correct GTINs and categories, up-to-date prices and stock, and profitability segments in extra fields. That way the Manago AI budget goes to products that make money.
How do I use custom labels (custom_label) in a Manago AI feed?
Custom labels split your catalogue into groups that can get their own campaigns, budgets and goals. Data Octopus fills them daily with segments such as bestseller, high margin, new, declining or no impressions, so products move between groups in Manago AI on their own.
Why are products rejected in Manago AI and how do I fix it?
The most common causes are outdated price or availability, missing GTIN, a broken image or a title that is too long or incomplete. Data Octopus validates the feed before sending it to Manago AI, fills missing fields with rules and refreshes prices and stock several times a day.
How often should a Manago AI product feed be updated?
As often as prices and stock change in your store, which in practice means several times a day. Data Octopus updates the Manago AI feed automatically, together with segments based on the latest sales data.
How do I prepare a Manago AI feed for several countries and currencies?
Each market needs its own feed with the right language, currency and prices. Data Octopus builds Manago AI feeds for many markets from one data model, with separate segmentation for each country.
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