The organisation

An Indian regional video on demand player targeting the Indian expats who missed out on the joy of first day first show of not just the big blockbusters but those seemingly nondescript nevertheless enjoyable movies. The organisation provides a Netflix -like experience with its superior technology and above all does away with the need to download movies with sketchy prints. Their superior contacts in the entertainment industry has allowed them to win the rights to blockbusters and small budget movies alike. The organisation aims to apply the power of Analytics to improve their user experience, reduce churn and increase their subscribers. 

ANALYTICS gOAL

Apply the power of Analytics to improve their user experience, reduce churn and increase their subscribers.

tHE redwood solution

As with any project, the customer data shared was analysed in detail in help with the following

INCREASING SUBSCRIBERS AND REDUCING CHURN

Inorder to increase the number of subscribers, the first step was to identify the profile of the most loyal customers and the ones who churn. 

1. Identifying the Loyal customers

Among the active customers or the customers who were still engaged with the platform, analysis was done to break down these customers into further segments based on the duration of engagement with the platform

Further analysis was done on each segment to understand the nuances and differences between each segment

Impact of identifying the Loyal Customers

- A clear idea of the type of content that resonated with the loyal customers. 

- The above helped in very creating very clear strategies when trying to get the rights to movies. For eg. bidding for low budget movies / movies of non main stream actors would as the analysis showed have a massive ROI in terms of subscribers/ revenue. 

- It reduced the need to bid for the rights of every big budget movie.

2. Identifying the customers who Churn

Among those customers who churned, analysis was done to break down these customers into further segments based on the duration of the engagement with the platform.

Impact of identifying the customers who Churn

- Identified the type of movies that the customers would watch using a free trial 

- Identified the segment of customers who could be won back 

3. Scoring Model to predict a Loyal customer from one who will churn

A predictive model was built out to predict a customer who would remain loyal vs one who would churn. As a result of the score card, the organisation was able to customised engagement towards each segment.

4. Attract clones of Loyal Customers via Ad campaigns

Ad campaigns were designed in order to attract clones of the loyal customers which would result in higher ROI.

Impact of the Ad Campaigns

5.  Winning back Churned Customers

As result of analysis, a segment of churned customers were identified who could potentially be won back. A series of ad and email campaigns were designed targeting this segment. 

Impact of the Project Win Back

IMPROVING USER EXPERIENCE

Foundations for a Recommendation Engine

The existing metrics being tracked were built from a purely tech point of view to closely monitor and optimise the engineering of the platform. Redwood conducted a couple of exercises to design metrics that would eventually help analyse and optimise user experience.  This included increasing the robustness of the content classification system and designing variables that would capture the customer viewing behaviour. These metrics were aptly names Heartbeat data by the organisation.