> ## Documentation Index
> Fetch the complete documentation index at: https://docs.topsort.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Toppie for agencies and brands

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<div style={{ textAlign: "justify", marginBottom: "1.5rem" }}>
  Traditional retail media focuses on giants like Amazon, Walmart, and major
  marketplaces. Toppie unlocks access to mid-sized and long-tail retailers that
  collectively represent a massive untapped opportunity, but are individually
  too small or complex for agencies to manage effectively.
</div>

## Key Benefits

* **One Platform, Multiple Retailers:** Manage campaigns across dozens of retailers from a single interface
* **Budget Optimization:** AI-powered allocation ensures your budget flows to the highest-performing placements in real-time
* **Operational Efficiency:** Eliminate the need to learn multiple retailer platforms, manage separate vendor relationships, or reconcile disparate reporting formats
* **Global Scale:** Access to Topsort's network spanning 40+ countries with \$50B+ in cumulative GMV

### Global Catalog

<div style={{ textAlign: "justify", marginBottom: "1.5rem" }}>
  The Global Catalog is Toppie's foundational technology that enables
  cross-retailer campaign management. It works by:
</div>

### Product Mapping and Harmonization

* Maps identical or equivalent products across different retailer catalogs
* Normalizes product data (titles, categories, attributes) for consistent targeting
* Enables "1-click promotion" where a single SKU can be advertised across all relevant retailers simultaneously

### Campaign Efficiency

* **Launch once, advertise everywhere:** Set up campaigns for a specific product, and Toppie automatically identifies matching inventory across participating retailers.
* **Consistent targeting:** Apply the same audience, keyword, and demographic filters across different retailer environments
* **Unified optimization:** Budget flows to the best-performing product placements regardless of which retailer hosts them

### Technical Implementation

<div style={{ textAlign: "justify", marginBottom: "1.5rem" }}>
  The catalog uses machine learning to match products across retailers based on:
</div>

* Product identifiers (UPC, EAN, GTIN)
* Product attributes (brand, model, specifications)
* Image recognition and text analysis
* Retailer-specific category mapping

## Campaign Creation and Management

<div style={{ textAlign: "justify", marginBottom: "1.5rem" }}>
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  </Frame>
</div>

### Streamlined Workflow

<Steps>
  <Step title="Product Selection: Choose products from the Global Catalog or upload product lists" />

  <Step title="Retailer Targeting:">
    <div style={{textAlign: 'justify', marginBottom: '1.5rem'}}>
      Select specific retailers or let Toppie optimize across the entire network
    </div>
  </Step>

  <Step title="Budget and Bidding:">
    <div style={{textAlign: 'justify', marginBottom: '1.5rem'}}>
      Set the overall budget and let **BIDLESS™** technology handle bid optimization
    </div>
  </Step>

  <Step title="Creative Assets:">
    <div style={{textAlign: 'justify', marginBottom: '1.5rem'}}>
      Upload or auto-generate creative assets for different ad formats
    </div>
  </Step>

  <Step title="Launch and Optimize:">
    <div style={{textAlign: 'justify', marginBottom: '1.5rem'}}>
      Real-time performance monitoring with automatic budget reallocation
    </div>
  </Step>
</Steps>

## Reporting and Attribution

### Unified Performance Dashboard

* **Standardized Metrics:** Consistent definitions of ROAS, CTR, and conversion rates across all retailers
* **Cross-Retailer Attribution:** Track customer journeys that span multiple retailers
* **Funnel Analysis:** Complete visibility from impression to conversion across the entire network
* **Exportable Data:** Download performance data in standard formats for further analysis

#### Attribution Capabilities by Tier

* **Basic:** Last-click attribution within each retailer
* **Advanced:** Cross-retailer attribution with 7-day view/click windows
* **Enterprise:** Multi-touch attribution modeling with custom attribution windows

***

<LastUpdated date="2025-11-18" />