Stiddle is a data hub that utilizes its proprietary IRIS technology to track customer interactions without relying on cookies, enabling persistent identification across devices and sessions. The platform addresses the challenge of incomplete attribution in digital marketing by providing accurate, first-party data insights that enhance campaign performance and reduce wasted ad spend.
Funding
Funding not disclosed
Founders
Product
Problem
Digital marketers struggle with incomplete attribution due to reliance on cookies, which are increasingly restricted by browsers and privacy regulations, leading to inaccurate campaign performance insights and wasted ad spend. Traditional methods fail to track a significant portion of customer interactions, especially across different devices and sessions, hindering a comprehensive understanding of the customer journey.
Solution
Stiddle offers a customer intelligence platform (CIP) that utilizes its proprietary IRIS technology to provide cookieless tracking and persistent identification of customer interactions across devices and sessions. By connecting to various go-to-market data sources, Stiddle eliminates data silos and captures every touchpoint, providing a complete view of each visitor and customer. The platform employs AI-powered attribution models trained on brand-specific data to dynamically allocate credit to different touchpoints, uncovering profitable ad channels and enabling transparent, data-driven decisions. Stiddle's features include campaign intelligence, customer journey analytics, profile views, and smart audiences, all designed to drive revenue growth with better data accuracy and insights.
Target Audience
Stiddle is designed for online brands, e-commerce businesses, B2B companies, lead generation teams, marketing agencies, and enterprise organizations seeking to improve their marketing performance with accurate, cookieless data.
Features
- Cookieless tracking via Stiddle IRIS, providing persistent identification for up to 3 years
- AI-powered attribution modeling with machine learning to build custom models based on brand data
- Campaign Intelligence to manage ad reporting across multiple channels in a single view
- Customer Profiles that unify data and track every customer's interaction, both anonymous and known
- Customer Journey analytics to identify common paths to conversion
- Smart Audiences for segmenting and syncing customer data with ad platforms in real-time
- Real-time currency conversion and refund tracking for accurate financial insights
- Bot and crawler detection to filter out fake traffic
- Integration with sales channels like Shopify and ad platforms like Google Ads and Facebook Ads
- Customizable dashboards with real-time data for deep analysis and top-level insights