Alex Reis
CEO
Revend
Revend is an AI-driven tool that provides real-time monitoring and multi-touch attribution for e-commerce platforms, enabling businesses to track user interactions and optimize ad performance without relying on third-party cookies. It addresses issues such as unexpected spikes in ad costs and site functionality problems, ensuring that revenue-impacting incidents are detected and resolved promptly.
- Advertising Technology
- Artificial Intelligence
- Data & Analytics
- Commerce & Shopping
- Software Only
Updated 23 months ago
Funding
Raised to date
$1.1MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
E-commerce businesses often face unexpected issues such as ad cost spikes, payment gateway problems, or website errors that negatively impact revenue. Detecting and resolving these issues quickly is challenging, especially without real-time monitoring and attribution tools.
Solution
Revend provides an AI-driven platform for real-time monitoring and multi-touch attribution, enabling e-commerce businesses to optimize ad performance and track user interactions without relying on third-party cookies. The platform automatically tracks key performance indicators (KPIs) in the sales funnel and uses AI to detect anomalies, factoring in seasonality, historical performance, and real-time data. When issues arise, Revend calculates the potential revenue impact, provides context, and highlights recent changes, allowing teams to prioritize and resolve problems efficiently.
Target Audience
Revend is designed for e-commerce businesses that want to optimize their return on ad spend (RoAS), improve website performance, and proactively address revenue-impacting issues.
Features
- Real-time monitoring of sales funnels and key performance indicators (KPIs)
- AI-powered anomaly detection with customizable alerts for unusual activity
- Multi-touch attribution model that stitches together user sessions across devices and time
- Combined client and server-side tracking for comprehensive, privacy-compliant data collection
- Automated ad optimization with smart adjustments that avoid putting ads back into learning mode
- Revenue impact calculation and prioritization of critical issues
- No-code installation for quick and easy setup