Feed Enrichment for ROAS Optimization
Feedance optimizes return on ad spend (ROAS) by making sure that product feeds are properly structured, enriched, and updated dynamically for maximum efficiency.
- Google Product Category Mapping – Automatically assigns the right Google Product Category ID to ensure high ad targeting relevance.
- Intelligent Bidding with Custom Labels — Allows for product segmentation based on margin, top products, and seasonality.
- Dynamic Pricing & Competitor Insights – Connects real-time pricing updates, enabling growth teams to change bids and offers on the go.
- Automated A/B Testing Feeds – Allows growth teams to experiment with ad performance by testing various feed elements (i.e., titles, descriptions, labels).
Leveraging smarter product segmentation and real-time pricing intelligence, growth teams can better optimize campaigns and capture the entire revenue opportunity.
Catalog Ads Scaling Across Channels
Catalog ads can be the most effective way to retarget users, display personalized product recommendations, and scale performance marketing. Feedance enables:
- Google Shopping & Performance Max Support – Keep your feeds compliant with Google Merchant Center specifications.
- Meta (Facebook & Instagram) Dynamic Ads – Organizes groups of your products for retargeting campaigns to create higher interaction rates and conversion rates in advertising.
- TikTok Catalog Ads Optimization – Automates the upload of product feeds into TikTok’s commerce ecosystem to deliver high-intent shopping ads to new audiences.
- Programmatic & Criteo Ads Integration – Prepares feeds for programmatic ad networks so brands can grow DSPs and remarketing platforms.
Feedance's automated feed distribution and automated ad formats help growth teams to scale catalog ad campaigns with little manual effort.
Search & Recommendation Systems Powered by AI
From better conversion rates to an increase in retention and enhanced customer satisfaction — personalized user experiences are showing great results. Feedance supports:
- Real-Time Product Availability Updates – Out-of-stock products are never visible in recommendations, creating a trust factor.
- Custom Attribute Mapping for AI Models – Improves metadata, category tagging, and product relationships so search algorithms are able to pull the most relevant results.
- Multi-Source Data Aggregator – Aggregates e-, ERP, and marketplace data into structured feeds for AI-based recommendations.
- Seamless API Integration with Personalization Engines — Connects feeds to Algolia, Bloomreach, and Dynamic Yield.
Empowering growth teams to drive and increase engagement and return visits by feeding structured data to AI recommendation tools.
Steps to Automate for Growth at Scale
What the growth teams need: A low-maintenance, scalable, cross-channel product data management solution Feedance automates:
- Multi-Platform Feed Structuring - Closely compatible with Google, Meta, TikTok, Amazon, and B2B marketplaces.
- Real-Time Data Sync – Automatically updates pricing, stock levels, and promotions to eliminate inefficiencies in ads.
- Error Detection & Feed Protection – Finds and blends feed errors, duplicate listings, and formatting errors to stop ad denial.
- Localization & Multi-Currency Support – Enabling businesses to go global with region-specific product feeds.
Feedance minimizes the need for manual feed adjustments, so growth teams can concentrate on scaling performance instead of maintaining data.