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Personalized recommendation service for digital media &entertainment companies
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E-Contenta strives to increase the revenue of digital media, by solving the problem of information redundancy with personalized recommendations for each user.
Analyzing customer behavior on media websites, in social media and search history, E-Contenta predicts the next book to read, song to listen to or movie to watch for each user.
Personalized recommendations improve the KPIs of E-Contenta customers at every stage of the purchase funnel:
Decrease acquisition cost,
Reduce churn rate,
Increase LTV.
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DIGITAL MEDIA PROBLEM: content overload
The site-centric model of content distribution has become outdated and retards industry development.
The amount of online content is rapidly growing. Users live in an age of information overload. It is getting more difficult for them to find what they are looking for in the diversity of content.
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SOLUTION: personalization and user-centric concept
today tomorrow
Information finds its user with the help of personal recommendations, no matter what type of online platform the user is on.
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Relevant interaction at every stage of the sales funnel
INTERACTIONPersonal recommendations on the client’s platform
CUSTOMER ACQUISITIONPersonal advertising campaigns, look-alike
CHURNEmail recommendations, remarketing
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E-Contenta has an offer for each stage of the sales funnel
- 30% customer acquisition cost
+250% open rate +30% time session+ LTV
- 30% churn rate+ LTV
E-Contenta Attract
E-Contenta Engage
E-Contenta Return
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ACQUISITION: E-Contenta Attract
Personalized advertising campaigns.
-20-30% -decrease in customer acquisition costs
Advertising in social media - vk.com news feed - for our client Bookmate.com
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INTERACTION: E-Contenta Engage
Relevant content recommendations.
+ 217% more openings
+ 150% higher conversion rate into paying users
+ 30% - Increase of LTV
+ 35% - increase of session time
Recommendations in the app for our client MyBook.ru
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CHURN: E-Contenta Return
Personalized emails & retargeting.
- 30-40% - decreasing churn rate
Personalized emails for our client Bookmate.com
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If recommendation companies are about real business, they have to integrate at every stage of user communications and work as a channel. It is the way Bookmate works with E-Contenta.
KONSTANTIN SAVENKOV,Bookmate
Amazing fact - our users open movies recommended by E-Contenta 250% more often. By integrating E-Contenta we meet the challenge to communicate personally with each of the our 600 thousand users of our smart-TV app .
YAN SLOKA, Vidimax
Before starting the pilot with E-Contenta, we set the goals for the project. We defined our success story as a case where personalized recommendations increase time session for our 60 mln users, and as a result we receive more money from advertising on the website. Looking at performance today, that’s quite possible.
DMITRY SUSHKEVICH, Rutube
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How to launch E-Contenta?
1PIXELINSTALLATION
2DATACOLLECTION
MODEL GENERATION ANDMACHINE LEARNING
PERSONALIZED RECOMMENDATION
33RDPARTY DATA
01 Social media02 DMP03 Partners` websites
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E-CONTENTA ATTRACT
Agency fee Subscription Agency fee
E-CONTENTA ENGAGE E-CONTENTA RETURN
10-30% out of marketing campaign budget
$5K - min budget from 500$ per month $5K - min budget
fixed price starting
10-30% out of marketing campaign budget
Pricing
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Team
Zoya Nikitina, CEO
Nikolay Simon,СТО
Alexander Petrov, Head of R&D
