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How a cable TV company helped advertisers and channels identify prime ad spots on TV

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Who is Customer?

One of the world’s largest international TV
and broadband companies

The customer helps television channels and advertisers identify optimal time slots for airing promos and commercials

Superfast Broadband
Superfast Broadband
Mobile Connectivity
Mobile Connectivity
TV Box
TV Box

Headquartered in London

Headquater
Headquater

Over 29 million customers
Operations in 10 European countries

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The Challenge

The cable TV provider wants to create additional monetization opportunities to keep up with the shift in TV viewing habits caused by technology advances.

To this end, the company wants to create a new business line by providing TV channels and advertisers insights around optimal time slots for airing promos and ads.

They identify these slots by creating customized dashboards that analyze viewership data with respect to different content types, time, and date of airing.

In creating this new business line, they face severe competition from other pure-play panel analytics providers.

Over 500 gigabytes of data comes in from panels, set-top boxes, and smart TVs every day, making it extremely difficult to analyze in real time

The company currently makes expensive investments in data experts who use Hive, Spark, and Shell scripts to analyze this data and calculate slots.

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The Solution

Accelerite Sharelnsights provided the cable TV company with self-service big data analytics capabilities so that analytics managers without technical expertise can process real-time viewership data from multiple sources and create customized datasets and dashboards for channels and advertisers.

Analytics managers give advertisers a comprehensive view of how and when their ads can reach the desired audience by analyzing which ads are being watched.

Instead of analyzing data and creating a new dashboard from scratch for every new channel and advertiser, they create reusable templates with frequently used parameters that define qualification criteria.

They now use correlation machine learning algorithms to predict extremely relevant information such as promo conversion rate (the percentage of viewers who watch shows based on promos that they watched).

Analytics managers effortlessly add new data sources and build dashboards right away without any downtime.

They now calculate cumulative reach and number of unique viewers – an extremely complex calculation -using simple drag-and-drop filters.

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The Results

The cable TV provider successfully created a new business line and moved up the value chain by providing insights instead of just being a passive cable distribution network

Results details 30 %
Increase in promo conversion rates by airing promos in the recommended slots
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Results details
Results details 25 %
Increase in ad viewership by placing ads in the top spots identified
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Why Choose Accelerite

ShareInsights

Sharelnsights makes it easy for anyone to explore, transfo and visualize big data on Hadoop or Amazon Web Services (AWS) data lakes in minutes.

Its ability to design powerful big data transformation pipelines (including machine learning models) with no codi or infrastructure complexity makes it the most comprehensive platform for accelerating time-to-insight.

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About Accelerite

Accelerite is a Silicon Valley based company delivering secure business-critical infrastructure software for Global 1000 enterprises. Accelerite’s product suite includes hybrid cloud infrastructure, endpoint security, big data analytics, and the Internet of Things. To know more about Accelerite ShareInsights visit:

www.accelerite.com/shareinsights

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