Automated Feed Management

(Data Feed Management and Optimization)

Practical Use Cases

Industry Use Cases

Retail / E-commerce

Retail icon

Retail / E-commerce

From a webshop's central feed containing thousands of products, POMS creates a perfect Google Shopping feed, a META catalog feed, and a third feed for price comparison sites.

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Real Estate

Real Estate icon

Real Estate

Merging separate databases from multiple real estate agents into a single, unified, and clean feed that advertising platforms can process.

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Travel

Travel icon

Travel

For airlines or accommodation portals, creating feeds that contain only currently available seats/rooms with real-time prices and extra information.

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Retail / E-commerce

Retail icon

Retail / E-commerce

From a webshop's central feed containing thousands of products, POMS creates a perfect Google Shopping feed, a META catalog feed, and a third feed for price comparison sites.

Learn More

Real Estate

Real Estate icon

Real Estate

Merging separate databases from multiple real estate agents into a single, unified, and clean feed that advertising platforms can process.

Learn More

Travel

Travel icon

Travel

For airlines or accommodation portals, creating feeds that contain only currently available seats/rooms with real-time prices and extra information.

Learn More

Ideal User Profile

Who is it for?

Practically any advertiser running DCO campaigns whose communication is based on product or service data.

Especially recommended for companies with large and/or dynamically changing product ranges (retail, travel, real estate, automotive).

For companies whose data sources are imperfect or need to create a unified feed from multiple databases with different structures.

Marketing Goal & Solved Problem

Avoiding "Garbage In, Garbage Out"

Incorrect, incomplete data (e.g., wrong price, missing image) results in irrelevant ads. The service guarantees a clean, reliable data source.

Platform Compatibility Issues

Different ad platforms require different data structures. Manual conversion is time-consuming and prone to errors.

Lack of Strategic Info in Feed

Raw product feeds rarely contain information important for marketing (e.g., "best seller", "on sale"), limiting personalization.

Difficulty Managing Dynamic Data

Manually tracking and updating constantly changing prices, stock, and promotions in feeds is virtually impossible.

Strategic Benefits

Why is it worth it?

Data Integrity

Reliable Campaign Foundation

A clean data feed is a prerequisite for successful DCO campaigns. It ensures that ads always contain the correct information, increasing user trust.

Personalization

Deeper Segmentation Opportunities

Through data enrichment, you can create unique segments and testing variables that were not available in the raw data source.

Efficiency

Better Ad Performance

More relevant and accurate ads result in higher click-through rates (CTR), better quality scores, and higher conversion rates.

Optimization

Saving Operational Time

It removes the time-consuming task of manual data verification and correction from campaign managers' shoulders, placing the focus on strategy.

How It Works

The process step-by-step

Connecting Source Data

The system connects to one or more data sources provided by the client (e.g., XML, CSV, API, Google Sheets).

1

Data Cleaning and Structuring

Our experts map the incoming data and create rules for automatically correcting typical errors.

2

Data Enrichment

Based on the campaign strategy, we enrich the feed with new information valuable from a marketing perspective (e.g., custom_label fields, promotional texts).

3

Platform-Specific Transformation

From the clean database, we generate perfectly formatted output feeds required by target platforms (e.g., Google, META, Criteo).

4

Continuous Update and Monitoring

The system automatically updates output feeds, even hourly, based on source data changes, and monitors data quality.

5

Inputs and Outputs

Required Inputs and Prerequisites

  • Data

    Data Input

    Access to raw feed(s) containing source data. Format can be XML, CSV, TSV, JSON, or even a Google Sheet.

  • Strat

    Strategic Input

    Understanding campaign goals so POMS experts can enrich and optimize data according to strategy.

Output Formats (What is the result?)

The result of the service is one or more structured data files 100% compliant with the technical requirements of the target platform, which can be directly connected to ad systems.

  • URL XML, CSV or TSV feed accessible via URL

Supported Ad Platforms

The system generates perfectly formatted output feeds required by target platforms (e.g., Google, META, Criteo) from the cleaned and enriched database.

META

Facebook Instagram Messenger Audience Network

ByteDance

TikTok

Google

Search YouTube GDN Google Ads DV360 Studio Shopping

Microsoft

Microsoft Advertising LinkedIn

X Corp

X (Twitter)

Pinterest Inc.

Pinterest

Snap Inc.

Snapchat

Amazon

Amazon Ads Twitch Ads

Pricing Model

Automated Feed Management is a continuous, monthly subscription-based service, the price of which depends on the complexity of the managed data.

One-Time Setup Fee

€800 - €3,000, depending on complexity

Monthly Service Fee

€500 - €1,500 / month / feed