Relevant content to the people, crafted by broadcasters for broadcasters
Personalisation and Recommendation Ecosystem for the digital transformation
PEACH is flexible. Setup in a few days. Use what you need when you need it. Integrate it anywhere. Experiment with your data and iterate quickly.
Key Features
- Seamless integration with your existing tools
- Real-time collaboration and communication
- Advanced analytics and reporting
- Enterprise-grade security and compliance
- Control over data and code
Used in production by Broadcasters
PEACH is a solution that you own, understand and can control
Commercial products are not always a good fit for Public Service Media. They are devised to maximise clicks, possibly at the expense of diversity. Their business model does not suit us. Their opaque behaviour is often a concern.
Since we build the whole platform together, new requirements are our daily bread. Business rules to fit your business goals can easily be implemented and released in production in minutes. You don't have to wait for the next development cycle to implement new business rules that fit your goals.
See PEACH in action
Watch our quick overview video to see how PEACH can transform your digital workflow and help your team achieve more in less time.
20 M
Events per day
8 M
Users per month
150 M
Recommendations per month
3.2 M
Ingested media items
What our users say
Jörgen Bang
Product Owner @ SR
At SR, we identified the need to offer toplists for podcast genres in our app, as we know that popularity is a good driver in guiding listeners to appreciated content.
However, we lacked integrations to incorporate the required data. Instead of building from scratch, we realised that the PEACH infrastructure already existed, providing data ingestion, processing, and API endpoints. Leveraging PEACH, we efficiently implemented toplists for podcast genres in our app and web platforms in just a few days.
PEACH can also be used for solving "simple" technical tasks that yet deliver great value to the end user.
5 Logical Steps for Integration of Content Recommendation
Follow our proven methodology to seamlessly integrate PEACH's powerful content recommendation system into your platform.
Collect
Store metadata and transcripts of your media. Collect users data from all major platforms using our simple SDK.
Explore
Explore and inspect raw data to determine quality and compute metrics. Understand consumer behaviour and define algorithms.
Compute
Compute, craft specific algorithms and create recommendation models. Automate the computation.
Deliver
Deliver relevant content to users in real time using the recommendation models that you own and control.
Monitor
Monitor and track accuracy, performance and diversity in dashboards. Evaluate recommendations visually before going to production.
Make decisions based on data
Measure your user experience.
A/B testing lets you increase user engagement, reduce bounce rates, increase conversion rates, minimize risk, and effectively create content. Running an A/B test can have significant positive effects on your site or mobile app.
