Plug'n'play solution
- Automatic recommendations and personalisation: the service learns based on the user's previous behavior what he or she is interested. It then recommends content and users based on the content or user interest profile. It can also base recommendations on what other users are interested in.
- Dynamic content linking: the user experience is significantly enhanced by showing the most relevant content from all possible sources such as RSS feeds, Wikipedia articles and YouTube videos.
- Targeted advertising: only ads that match the user's interest are shown.
- Needs-based search: the user receives search results based on a topical analysis in stead of only a keyword analysis
Why Leiki Focus?
- It is a unique solution that uses a very extensive ontology (hierarchy of concepts) that allows a highly detailed analysis of content which otherwise would not be possible.
- It is the only product on the market that includes standard features such as automatic recommendations, personalisation, targeted advertising, search, and customer analytics.
- It is a plug'n'play solution that does not require any further development. This means that the implementation time is a matter of days and the software is cost efficient to maintain.
The analysis interface provides valuable information about the users of the service in an
easily understandable graphical format. Analysis features allow service provider to observe users in
like-minded groups and quickly discover trends in their behaviour.
Segment analysis
In Leiki Focus, segmentation techniques are applied to user profiles in order to group users that are interested in similar topics - each group has its specific characteristics in comparison to other groups. The value in segmentation is in its ability to provide quick
overview into the whole user base and reveal information about the users that were previously unknown. This
also provides segmented user base for recommendations, advertising campaigns and targeted marketing.
Trend analysis
Trend analysis shows the most popular categories and their development during a chosen time
period. This is very valuable information as the service provider can immediately see, which topics have
gained interest lately and which have decreased in popularity.
End-user benefits
1. Easy-to-use services
- Finding interesting content becomes much easier with automatic content recommendation and personalisation
- Personalisation significantly increases content usage
2. Find relevant content with no effort
- Always present similar content
- Multiple content sources can be personalised in a single service (e.g. music downloads and RSS news)
- Intelligent free-text search finds without exact keywords
3. Find like-minded people
- Find people with similar interests based on e.g. their content viewing behaviour
Service provider benefits
1. More effective marketing
- Target advertising for increased usage and purchase rates
- Recommend users with new content based on their individual profiles
2. Reduce churn and build loyalty
- Continuously improving personalisation boosts customer retention as change in service provider leads to loss of time-saving
personalisation
3. Increase sales and cut costs
- More interesting content and targeted advertising increases purchase rates
- Service provider can sell advertising space - ads can be sent to certain segments with free-text targeting descriptions
- Gain significant cost savings through automation of manual tasks e.g. cataloguing content
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