Making sense of viewer data

Genius Digital Products

2

Understanding subscribers across every screen Act upon data

with specialized applications

Optional capture agents provided where existing systems cannot provide necessary data

Analyse and interpret data with industry leading analytics

Consumer Insights

Platforms

Set topbox

Agent

Marketing team

Salesteam

Retention team

Ad sales team

Operations team

Content team

Product team

Smartphone app

Agent

Website

Agent

Connected TV app

Agent

CRM dataEPG DataResearch dataChannels / Packages

CRM systemDM systemOSS/BSSRecommendation Engine

3

Identify viewing of channels and programmes by different segment of the subscriber base: top 10s, most preferred, and most watched

Optimise channel packaging to minimise costs and increase propensity to upsell

Provide details consumption information on channels to channel providers to reduce carriage fees - includes household demographics, PVR usage

Leverage clusters of programmes and channels that frequently perform well together for packaging and upselling

Quickly identify under-performing programmes and channels and act accordingly

Content Insights

4

Identify the strongest viewing preferences of the subscriber base and leverage this for marketing campaigns, content commissioning and acquisition

Identify key viewing behaviours that drive loyalty and build marketing campaigns around these areas

Understand the viewing habits of subscribers who take-up new services, PVR, HD, VOD, and OTT and optimise marketing and content accordingly

Measure the impact of marketing campaigns on subscriber viewing and consumption

Subscriber Insights

5

Target individual subscribers based on their viewing patterns and preferences

Identify those at risk of churn based on similar viewing patterns from those who have previously churned

Integrate personal viewing summaries into call centres to improve the customer experience

Reduce retention cost by identifying those least likely to churn based on viewing of exclusive content

Personalised targeting and retention

6

Ad optimisation

Individual reach and frequency measures for each ad slot and campaign according to demographic measures

Improve ad sales revenue based on actual audiences

Measure the impact of PVR and VOD on ad viewing

Identify key viewing characteristics of a third party database, e.g. purchasers of a particular brand

7

Compare viewers of individual promotions with those of promoted content

Identify best performing slots, copy, an d programmes to place promos in

Identify success of promoted VOD, OTT, and linear TV services

Promo booster

8

Identify most commonly use keys on the remote control and how they are used

Set-up and analyse conversion funnels for PPV and other services

Measure the impact of new user interfaces (and A/B splits) on viewing habits

UX Insights

9

End to end performance monitoring from set-top-boxes, mobile devices, and PCs

Identify households, devices, channels, VOD assets, and network segments in error in real time

Bring real-time data into the network operations centre to provide immediate corrective actions

Analyse trends in quality to identify problematic devices, networks, and third party suppliers

Full compliance with TR-160 and complimentary to TR-069 and TR-135

Realtime QoE monitoring

10

Individual viewer model• Predict viewing for

individuals rather than households

• Compare reach and frequency on your platform with industry currency measures

• Identify individual habits within pay TV households to personalise marketing to an individual level

Non-connected devices• Predict the viewing

patterns and behaviours of unconnected devices from the behaviour of connected devices

• Leverage data for marketing across the entire subscriber base, not just connected devices

• Make decisions based on representative data on the whole subscriber base

Minute by minute ratings• Key industry metrics

that are used for ad trading: share, rating points etc...

• Minute-by-minute resolution of channel and programme viewing

Other key analytics