JUMP for Video Streaming
Understand your video streaming service, predict audience behavior and personalize their user experience
What does your video streaming service get with JUMP for Video Streaming
Understand your viewers
And track all the metrics that affect your video service performance
Create audience clusters
And improve the success of your marketing campaigns
Reduce churn and increase retention
By predicting your audience’s future behavior
Personalize your content
To increase user consumption and engagement
10%-50%
Marketing effectiveness improvement
15%-30%
Reduced churn rates
25%-75%
Increased content consumption
All kinds of OTT service models
SVOD
TVOD
AVOD
MVPD
All kinds of OTT verticals
Movies / Series
Sports
Kids
TV Shows
Fitness
News
Unlock the full potential of your vodeo service datawith these simple steps, TODAY!
Install and activate yourFREE Trial
Gain insight, segment your audience and make accurate predictions
Make personalized recommendations for your audience
Track campaign performance, learn and iterate!
Install and activate your FREE Trial
Gain insight, segment your audience and make accurate predictions
Make personalized recommendations for your audience
Launch your marketing campaigns
Track campaign performance, learn and iterate!
Advanced insights
Answer the most critical questions about your video service All business models (SVOD, AVOD , TVOD, Linear or TV everywhere) are supported
Business snapshot
“What is the overall performance of my video service?”
User acquisition
“How can I maximize my conversion rate?”
User activity
“How engaged are my users and why?”
Content consumption
“Do I have the right content for my video business?
Service discovery
“Is my video service capturing the interest of my trial users?”
Service monetization
“How much is my video business earning per month?”
Audience retention
“Which users are most likely to leave my video service?”
UX Performance
“Is the user experience optimal for my audience?”
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Whitepaper: Is your video streaming service Successful? KPIs to Track streaming video service performance
Audience Segmentation
Answer critical questions and understand user behavior relationships so you can target different user groups
By engagement
Clusters by level of engagement: number of sessions, time spent, frequency, etc.
By consumption type
Clusters by consumption of SVOD, AVOD, TVOD, Linear TV, Live events, etc.
By content type
Clusters by consumption of movies, Series, TV shows, live events, etc.
By content genres
Clusters by consumption of action, drama , thrillers, etc.
Taste communities segments
Clusters by sports/kids, drama/thriller, Tarantino/Scorsese communities etc.
Custom segments
Create your own segmentation combining consumption and monetization with additional variables like demographics, location, device, consumption by time of the day, and many more criteria.
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Whitepaper: Why Audience Clustering in Video Services is crucial for success?
Content Segmentation
Provide your users the best video entertainment experience by understanding your content offering inside out
Content by product category
Group your content by the different categories available in your video service
Content by genre
Group your content by the different genres available in your video service
Content by similarity
Group content along with similar items available in your service
Content by performance
View content by how well it performs: group content by best performing or underperforming items
Content by category
Understand which categories in your catalogue are the most successful
Personalized curated content
Create new products to align with curator decisions: seasonal or campaign related products
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Whitepaper: Data-driven Content Intelligence: How to Make the Most of Your Video Service Catalog
Predictions
Make data-driven decisions and influence your users’ future behavior
Forecast performance of acquisition campaigns
- Campaign performance predictions based on past activities, promotions, push messages, emailing campaigns, A/B testing activities
- Forecast marketing campaign ROI
- Optimize you targeting and marketing budget based on ML predictions
Conversion prediction
- Trial-to-paid user conversion rates
- User churn rate
- User churn risk
- Main factors that influence conversion
Retention prediction
- Paying user retention analysis
- Paying user churn rate prediction
- Paying user churn risk scoring
- Main factors influencing churn
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Whitepaper: Reducing OTT Churn & Machine Learning. Why you should try it?
Whitepaper: How to effectively predict and increase your trial-to-paid user conversion rates
Personalized Recommendations
Personalize your video service content to increase user consumption and engagement
Ultra-personalize the experience with tailored recommendations:
- Weighted personalization by product category
- Personalized curated content
- Predict product blacklists
- Recommendation grid configuration
Contextual recommendations:
- Recommendations by user similarity and product similarity
- Recommendations by type of day
- Recommendations by time of day
- Recommendations by device
Track recommendation performance
- Recommendation impressions
- Recommendation impressions CTR
- Recommendation conversion rate
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Whitepaper: What content should your streaming service offer to retain its audience?
Whitepaper: Personalised Video Service User Experience is a Must
Marketing campaigns
Make an impact on your video business with targeted marketing campaigns
Choose your favorite tool from our marketplace
Push notifications In-Player messaging Email
Share user segments with these tools to launch campaigns
Use standard connectors API Download CSV
Track campaign performance
Understand which activities are the most effective for each specific business scenario
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