Expanly is a retail product intelligence platform that integrates transactional, margin, and inventory data with feed-based advertising campaigns. It automates ad spend alignment with business objectives, dynamically boosting profitable products and pausing low-stock items to drive predictable, profitable growth.
Funding
$660K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Standard advertising algorithms lack visibility into critical business priorities such as inventory levels, profit margins, and seasonality, leading to misaligned ad spend and missed revenue opportunities. Manual campaign adjustments are time-consuming, reactive, and susceptible to human error, preventing e-commerce advertisers from optimizing campaigns effectively.
Solution
Expanly is a retail product intelligence platform that integrates vital business data with feed-based advertising campaigns to drive predictable, profitable growth. The platform automates the alignment of ad spend with core business objectives by dynamically boosting profitable products, pausing low-stock items, and eliminating inefficient spend. By leveraging proprietary business intelligence, Expanly enables advertisers to move beyond generic algorithm optimization and implement strategic, data-driven campaign management. This approach ensures marketing investments directly support business goals, leading to improved ROAS and overall profitability.
Target Audience
Expanly serves e-commerce advertisers and digital marketing teams seeking to enhance the performance and profitability of their feed-based advertising campaigns through data integration and automation.
Features
- Direct integration of transactional, margin, and inventory data to inform ad campaign strategy.
- Automated rule-building engine to enforce custom business logic across advertising platforms.
- Real-time bid and budget optimization based on a combination of performance metrics and business data.
- Product-level performance insights to identify growth opportunities and manage stock effectively.
- Dynamic campaign adjustments to account for seasonality, stock availability, and profit margins.
- Automated pausing of campaigns for out-of-stock or low-margin products.
- Optimization of ad spend to prioritize high-profit items and align with strategic growth objectives.