The startup offers an e-commerce data analytics platform that utilizes artificial intelligence to integrate and benchmark consumer brand data. This software provides actionable insights through intuitive dashboards, enabling brands to evaluate lead quality and optimize customer acquisition strategies for improved profitability.
Funding
$17.8M 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.
MVFounders
Product
Problem
E-commerce businesses often struggle to consolidate data from disparate sources like Shopify, Amazon, Google Ads, and Facebook Ads, leading to fragmented insights and difficulty in optimizing marketing spend and product offerings. This lack of a unified view hinders accurate profitability analysis and informed decision-making across merchandising, marketing, and finance teams.
Solution
Conjura provides an e-commerce analytics platform that integrates data from online stores, marketplaces, advertising platforms, and ERP/OMS systems into a centralized hub. The platform offers a suite of customizable dashboards that provide SKU-level insights, enabling businesses to understand true product performance and customer behavior. By unifying data, Conjura empowers e-commerce, merchandising, and marketing teams to make data-driven decisions, optimize ad spend, identify profitable products, and increase customer lifetime value. The platform's intelligent suggestions and actionable recommendations drive profit and improve overall business performance.
Target Audience
Conjura is designed for e-commerce brands, agencies, and investors who need to track sales, marketing, and operations in one place and require a comprehensive view of their business performance to make data-driven decisions.
Features
- Integration with Shopify, BigCommerce, Amazon, Google Ads, Meta, Linnworks, Cin7, and Brightpearl
- Customizable dashboards for performance overview, trends, campaign deep-dive, and product analysis
- SKU-level profitability tracking to understand true contribution margin per product
- Customer lifetime value (LTV) analysis by acquisition cohort
- Purchase pattern analysis to uncover customer buying behavior
- Real-time data synchronization for up-to-date insights
- Automated identification of bestsellers, slow movers, and stock risks
- Customizable views and filters to focus on key metrics