JUMP for Pay TV
Understand your Pay TV business, predict your subscribers’ behavior and personalize their user experience
What does your video streaming service get with
JUMP for Pay TV
Understand your subscriber base
and get unified insights about your Pay TV service performance
Identify subscriber clusters
and increase your marketing campaign success
Reduce churn and increase retention
by predicting your subscribers’ future behavior
Personalize your content
to increase subscriber consumption and engagement
50%
Marketing effectiveness improvement
30%
Reduced churn rates
75%
Increased content consumption
All kinds of Pay TV businesses
DTH
CTV
IPTV
OTT
All kinds of devices
Linux STBs
Android TV
OTT boxesand Stickers
Smart TVs
Mobile
Desktop
All kinds of Pay TV businesses
DTH
CTV
IPTV
OTT
All kinds of devices
Linux STBs
Android TV
OTT boxesand Stickers
Smart TVs
Mobile
Desktop
Unlock the full potential of your Pay TV service datawith these simple steps, TODAY!
Gain insight, segment your subscribers and make accurate predictions
Make personalized recommendations for your subscribers
Launch marketing campaigns
Track campaign performance, learn and iterate!
Gain insight, segment your subscribers and make accurate predictions
Make personalized recommendations for your subscribers
Launch marketing campaigns
Track campaign performance, learn and iterate!
Advanced insights
Answer the most critical questions about your Pay TV service
All business models (DTH, CTV , IPTV, OTT) and devices (Linux STBs, Android TV, OTT Boxes and Stickers, Smart TVs, Mobile, Desktop) are supported
Pay TV business snapshot
“How is my Pay TV service performing in general? What about its different packages?”
Subscriber activity
“How engaged are my subscribers and why?”
Audience measurement and content consumption intelligence
“Do I have the right content for my Pay TV business? Are my audience levels per content item adequate?” (rating, reach, share, etc. by TV program for Linear TV)
Pay TV service monetization
“How much is my Pay TV business earning per month? What about its different packages?”
Subscriber retention
“Which subscribers are most likely to leave my Pay TV service?”
UX Performance
“Is the user experience optimal for my subscribers?”
Subscriber Segmentation
Understand subscriber behavior relationships so you can answer critical questions and target different subscriber groups
Subscribers by engagement
Subscribers by consumption types
Audience clustering by consumption in Linear TV, TVOD, Live events, etc.
Subscribers by content type
Subscribers by content genre
Subscribers by taste communities
Audience clustering by communities that share consumption habits (e.g: sports + live events community)
Custom segments
Create your own segmentation by combining consumption and monetization with additional variables like demographics, location, device, consumption by time of day, and more
Content performance Insights
Understand your content catalogue so you can optimize your content offering and, in turn, improve subscriber engagement
Consumption type performance
Understand which consumption types (SVOD, TVOD, Linear, Live, etc.) available in your video service are the most successful and which devices are your audience’s favorites
Content genre performance
Understand which genres in your content catalogue are the most successful
Best performing content catalogue items
Identify which content items are the most successful or worst performing and how the ranking changes based on content type (movie, episode, etc), consumption type (SVOD, TVOD, etc.) , consumption device (STB, SmartTV, mobile, etc.) or time of day/day of week
Best performing content providers
Understand which content providers are contributing the most to increasing consumption of your video business
Content segmentation by consumption type
Content segmentation by genre
Content segmentation bycontent type
Content segmentationby performance
Content performance by categories
Additional content segmentation
PayTV business forecast
Stay on top of your video business outcomes by accurately forecasting subscribers retention ,financial performance or content consumption, amongst others
Retention prediction
- Paying users retention analysis
- Paying users churn rate prediction
- Paying users churn risk scoring
- Main factors influencing churn
Financial forecasting
- Revenue (growth, new, expansion, churn) prediction
- Average revenue per customer (ARPU) prediction
- Customer lifetime value (CLTV) prediction
Content consumption forecasting
- SVOD consumption prediction
- TVOD consumption prediction
- LINEAR TV consumption prediction
Personalized Recommendations
Increase consumption and user engagement by personalizing the content in your video service
Contextual recommendations:
- Recommendations based on subscriber and product similarities
- Recommendations by type of day
- Recommendations by time frame
- Recommendations by device
Configurable recommendations:
- Weighted personalization by product category
- Personalized curated content
- Predict product blacklists
- Configure recommendation grids
Performance tracking
- Recommendation impressions
- Recommendation impressions CTR
- Recommendation conversion rate
Marketing campaigns
Make an impact on your video business with targeted marketing campaigns
Choose your favorite tool from our marketplace
• Push notifications • In-Player • Email
Send user segments to these tools to send campaigns
Use standard connectors • API • Download CSV
Track campaign performance
Understand which activities are the most effective for each specific business scenario
